Advertisement

Advertisement

AI in Human Resource Management: Literature Review and Research Implications

  • Published: 24 January 2024

Cite this article

literature review topics in human resource management

  • Yuming Zhai 1 ,
  • Lixin Zhang 1 &
  • Mingchuan Yu   ORCID: orcid.org/0000-0001-7576-509X 2  

1028 Accesses

Explore all metrics

This study sorted out the literature on the application of AI in HRM from 2012 to 2021 using CiteSpace to derive the history of research in this field. Further, the research emphasis has shifted from the AI algorithm level to the application level. We proposed a conceptual paradox model to explain the positive and negative effects of AI in workplaces. We also discussed theoretically the practical implications of this study. Finally, this study offers relevant information that can help support and expand future research.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price includes VAT (Russian Federation)

Instant access to the full article PDF.

Rent this article via DeepDyve

Institutional subscriptions

literature review topics in human resource management

Similar content being viewed by others

literature review topics in human resource management

Artificial intelligence and HRM: identifying future research Agenda using systematic literature review and bibliometric analysis

literature review topics in human resource management

Impact of Artificial Intelligence on HR practices in the UAE

literature review topics in human resource management

A Bibliometric Analysis of Artificial Intelligence and Human Resource Management

Availability of data and materials.

The datasets generated for this study are available on request to the corresponding author.

Aboytes-Ojeda, M., Castillo-Villar, K. K., & Eksioglu, S. D. (2019). Modeling and optimization of biomass quality variability for decision support systems in biomass supply chains. Annals of Operations ResEarch, 314 (2), 319–346.

Article   Google Scholar  

Aghion, P., Jones, B. F., & Jones, C. I. (2017). Artificial intelligence and economic growth . NBER Working Papers.

Book   Google Scholar  

Alavi, M., Marakas, G. M., & Yoo, Y. (2002). A comparative study of distributed learning environments on learning outcomes. Information Systems Research, 13 , 404–415.

Ang, S., & Cummings, L. L. (1994). Panel analysis of feedback-seeking patterns in face-to-face, computer-mediated, and computer-generated communication environments. Perceptual and Motor Skills, 79 , 67–73.

Angrave, D., Charlwood, A., Kirkpatrick, I., Lawrence, M., & Stuart, M. (2016). HR andanalytics: Why HR is set to fail the big data challenge. Human Resource Management Journal, 26 (1), 1–11.

Atsalakis, G. (2014). New technology product demand forecasting using a fuzzy inference system. Operational Research, 14 (2), 225–236.

Bader, V., & Kaiser, S. (2019). Algorithmic decision-making? The user interface and its role for human involvement in decisions supported by artificial intelligence. Organization, 26 (5), 655–672.

Bag, S., Gupta, S., Kumar, A., & Sivarajah, U. (2021). An integrated artificial intelligence framework for knowledge creation and B2B marketing rational decision making for improving firm performance. Industrial Marketing Management, 92 , 178–189.

Ballouki, I., Douimi, M., & Ouzizi, L. (2017). Decision support tool for supply chain configuration considering new product re-design: An agent-based approach. Journal of Advanced Manufacturing Systems, 16 (4), 291–315.

Bankins, S., & Formosa, P. (2020). When AI meets PC: Exploring the implications of workplace social robots and a human-robot psychological contract. European Journal of Work and Organizational Psychology, 29 (2), 215–229.

Beer, D. (2017). The social power of algorithms. Information, Communication & Society, 20 , 1–13.

Beer, M., Spector, B., & Lawrence, P. R. (1984). Managing human assets: The groundbreaking . Harvard Business Program.

Google Scholar  

Bell, M. P., Marquardt, D., & Berry, D. P. (2014). Diversity, immigration, and the new American multi-racial hierarchy. Journal of Managerial Psychology, 29 (3), 285–303.

Benbya, H., Davenport, T. H., & Pachidi, S. (2021). Artificial intelligence in organizations: Current state and future opportunities . Social Science Electronic Publishing.

Bera, K., Schalper, K. A., Rimm, D. L., Velcheti, V., & Madabhushi, A. (2019). Artificial intelligence in digital pathology-new tools for diagnosis and precision oncology. Nature Reviews Clinical Oncology, 16 (11), 703–715.

Borges, A. F., Laurindo, F. J., Spínola, M. M., Gonçalves, R. F., & Mattos, C. A. (2021). The strategic use of artificial intelligence in the digital era: Systematic literature review and future research directions. International Journal of Information Management, 57 , 102225.

Braganza, A., Chen, W., Canhoto, A., & Sap, S. (2021). Productive employment and decent work: The impact of AI adoption on psychological contracts, job engagement and employee trust. Journal of Business Research, 131 , 485–494.

Brown, K. G. (2001). Using computers to deliver training: Which employees learn and why. Personnel Psychology, 54 , 271–296.

Brynjolfsson, E., & McAfee, A. (2017). The business of artificial intelligence . Harvard Business Review. https://starlab-alliance.com/wp-content/uploads/2017/09/AI-Article.pdf

Brynjolfsson, E., Rock, D., & Syverson, C. (2017). Artificial intelligence and the modern productivity paradox: A clash of expectations and statistics . National Bureau of Economic Research.

Cançado, L. V., Vendramine, F. M., Corrêa, A. D., Oliveira, J. E., Castro, P. S., Chapman, D. S., Uggerslev, K. L., & Webster, J. (2003). Applicant reactions to face-to-face and technology-mediated interviews: A field investigation. Journal of Applied Psychology, 88 , 944–953.

Cappelli, P., Tambe, P., & Yakubovich, V. (2019). Artificial intelligence in human resources management: challenges and a path forward . Social Science Electronic Publishing.

Cardy, R. L. and Miller, J. S. (2005). eHR and performance management: A consideration of positive potential and the dark side. In H. G. Gueutal, & D. L. Stone (Eds.) , 138–165.

Chapman, D. S., Uggerslev, K. L., & Webster, J. (2003). Applicant reactions to face-to-face and technology-mediated interviews: A field investigation. Journal of Applied Psychology, 88 , 944–953.

Charlwood, A., & Guenole, N. (2022). Can HR adapt to the paradoxes of artificial intelligence. Human Resource Management Journal, 20 , 545–566.

Chen, C. (2017). Science mapping: A systematic review of the literature. Journal of Data and Information Science, 2 (2), 1–40.

Cheng, M. (2017). Causal modeling in HR analytics: A practical guide to models, pitfalls, and suggestions . Academy of Management Proceedings.

Cheng, M. M., & Hackett, R. D. (2019). A critical review of algorithms in HRM: Definition, theory, and practice . Academy of Management Annual Meeting Proceedings.

Chowdhury, R., Rakova, B., Cramer, H., & Yang, J. (2020). Putting responsible AI into practice . MIT Sloan Management Review.

Cleveland Jeanette, N., Byrne Zinta, S., & Cavanagh, T. M. (2015). The future of HR is RH: Respect for humanity at work. Human Resource Management Review, 25 (2), 146–161.

Collings, D. G., Nyberg, A. J., Wright, P. M., & McMackin, J. (2021). Leading through paradox in a COVID-19 world: Human resources comes of age. Human Resource Management Journal, 31 (4), 819–833.

Davenport, T., Guha, A., Grewal, D., & Bressgott, T. (2020). How artificial intelligence will change the future of marketing. Journal of the Academy of Marketing Science, 48 (1), 24–42.

der Aalst, Van, et al. (2018). Robotic Process Automation. Department of Informatics, Decision Sciences and Systems, Technical University of Munich (TUM),. Boltzmannstr, 3 , 85748. Munich, Germany.

Dineen, B. R., & Allen, D. G. (2013). Internet recruiting 2.0: Shifting paradigms. In K. Y. T. Yu & D. M. Cable (Eds.), The Oxford Handbook of Recruitment (pp. 382–401). Oxford University Publishers.

Dineen, B. R., & Soltis, S. M. (2011). Recruitment: A review of research and emerging directions. In S. Zedeck (Ed.), APA handbook of industrial and organizational psychology , 43–66.

Duggan, J., Sherman, U., Carbery, R., & McDonnell, A. (2020). Algorithmic management and app-work in the gig economy: A research agenda for employment relations and HRM. Human Resource Management Journal, 30 (1), 114–132.

Earley, P. C. (1988). Computer-generated performance feedback in the magazine-subscription industry. Organizational Behavior and Human Decision Processes, 41 , 50–64.

European Commission. (2019). A definition of artificial intelligence: Main capabilities and disciplines . EC Report. https://ec.europa.eu/futurium/en/system/files/ged/ai_hleg_definition_of_ai_18_december_1.pdf

Fay, C. H., & Nardoni, R. E. (2009). In M. J. Kavanagh & M. Thite (Eds.), Performance management, compensation, benefits, payroll, and the human resource information system (pp. 338–360)

Ferreira, K. J., Lee, B. H. A., & Simchi-Levi, D. (2016). Analytics for an online retailer: Demand forecasting and price optimization. Manufacturing and Service Operations Management, 18 (1), 69–88.

Flechsig, C., Lohmer, J., & Lasch, R. (2019). Realizing the full potential of robotic process automation through a combination with BPM. Logistics management: Strategies and instruments for digitalizing and decarbonizing supply chains-Proceedings of the German Academic Association for Business Research, Halle, 2019 (pp. 104–119). Springer International Publishing.

Chapter   Google Scholar  

Ford, M. (2015). The rise of the robots: Technology and the treat of a jobless future . Basic Books.

Gigerenzer, G., & Todd, P. M. (1999). Fast and frugal heuristics: The adaptive toolbox (pp. 3–34). Oxford University Press.

Gill, M. (2000). E-learning technology and strategy for organizations. In K. Fry (Ed.), The business of e-learning: Bringing your organization in the knowledge economy. Sydney, Austrailia: University of Technology.

Gillhan, J. (2018). The macroeconomic impact of artificial intelligence . PWC & Company Report.

Guerrero, L., & Posthuma, R. A. (2014). Perceptions and behaviors of Hispanic workers: A review. Journal of Managerial Psychology, 29 (6), 3–30.

Gupta, S., Modgil, S., & Bhattacharyya, S. (2022). Artificial intelligence for decision support systems in the field of operations research: Review and future scope of research. Annals of Operations Research, 308 , 215–274.

Guner, H. U., Chinnam, R. B., & Murat, A. (2016). Simulation platform for anticipative plant-level maintenance decision support system. International Journal of Production Research, 54 (6), 1785–1803.

Haenlein, M., & Kaplan, A. (2019). A brief history of artificial intelligence: On the past, present, and future of artificial intelligence. California Management Review, 61 (4), 5–14.

Herrmann, H. (2022). The arcanum of artificial intelligence in enterprise applications: Toward a unified framework. Journal of Engineering and Technology Management, 66 , 101716.

Hirschman, A. O. (1970). Exit, voice, and loyalty. Responses to decline in firms, organizations, and states . Cambridge, MA: Harvard University Press.

Hsiao, J. P., Jaw, C., Huan, T.-C., & Woodside, A. G. (2015). Applying complexity theory to solve hospitality contrarian case conundrums. International Journal of Contemporary Hospitality Management, 27 (4), 608–647.

Jarrahi, M. H. (2018). Artificial intelligence and the future of work: Human-AI symbiosis in organizational decision making. Business Horizons, 61 (4), 577–586.

Jatobá, M., Santos, J., Gutierriz, I., Moscon, D., Fernandes, P. O., & Teixeira, J. P. (2016). Evolution of artificial intelligence research in human resources. Procedia Computer Science, 164 , 137–142.

Jia, Q., Guo, Y., Li, Y., & Chen, Y. (2018). A conceptual artificial intelligence application framework in human resource management (pp. 106–114). Proceedings of the 18th International Conference on Electronic Business.

Jeske, D., & Santuzzi, A. M. (2015). Monitoring what and how: Psychological implications of electronic performance monitoring. New Technology, Work and Employment, 30 (1), 62–78.

Jin, X.-H., & Zhang, G. (2011). Modelling optimal risk allocation in PPP projects using artificial neural networks. International Journal of Project Management, 29 (5), 591–603.

Johnson, R. D., & Gueutal, H. G. (2011). Transforming HR through technology: The use of her and human resource information systems in organizations. SHRM effective practices guidelines series. Alexandria, Virginia: SHRM.

Johnson, R. D., Hornik, S., & Salas, E. (2008). An empirical examination of factors contributing to the creation of successful e-learning environments. International Journal of Human-Computer Studies, 66 , 356–369.

Kaplan, J. (2016). Humans Need not apply: A guide to wealth and work in the age of artificial intelligence . Yale University Press.

Kaplan, A., & Haenlein, M. (2019). Siri, Siri, in my hand: Who’s the fairest in the land? On the interpretations, illustrations, and implications of artificial intelligence. Business Horizons, 62 (1), 15–25.

Kaplan, A., & Haenlein, M. (2020). Rulers of the world, unite! The challenges and opportunities of artificial intelligence. Business Horizons, 63 (1), 37–50.

Larson, L., & DeChurch, L. A. (2020). Leading teams in the digital age: Four perspectives on technology and what they mean for leading teams. The Leadship Quarterly, 31 (1), 101–377.

Lee, M. K. (2018). Understanding perception of algorithmic decisions: Fairness, trust, and emotion in response to algorithmic management. Big Data & Society, 5 (1), 1–15.

Lee, K. C., Lee, N., & Lee, H. (2012). Multi-agent knowledge integration mechanism using particle swarm optimization. Technological Forecasting and Social Change, 79 (3), 469–484.

Lee, M. K., Jain, A., Cha, H. J., Ojha, S., & Kusbit, D. (2019). Procedural justice in algorithmic fairness: Leveraging transparency and outcome control for fair algorithmic mediation. Proceedings of the ACM on Human-Computer Interaction, 3 (CSCW), 1–26.

Leonardi, P., & Contractor, N. (2018). Better people analytics measure who they know, not just who they are . Harvard Business Review.

Li, M. (2019). Are your algorithms upholding your standards of fairness? Harvard Business Review. https://hbr.org/2019/11/are-your-algorithms-upholding-your-standards-of-fairness

Li. (2021). The application of artificial intelligence in enterprise financial risk prevention and control—Based on big data environment. Finance and Accounting Communications, 20 , 62.

Lichtenthaler, U. (2019). Extremes of acceptance: Employee attitudes toward artificial intelligence. Journal of Business Strategy, 41 (5), 39–45.

Lin, Y., Lei, H., Addo, P. C., et al. (2016). Machine learned resume-job matching solution . arXiv preprint arXiv:1607.07657

Loebbecke, C., & Picot, A. (2015). Reflections on societal and business model transformation arising from digitization and big data analytics: A research agenda. The Journal of Strategic Information Systems, 24 (3), 149–157.

Mariana, B., & Drăguţ, L. D. (2016). Random forest in remote sensing: A review of applications and future directions. Isprs Journal of Photogrammetry and Remote Sensing, 114 , 24–31.

McCarthy, J., Minsky, M. L., Rochester, N., & Shannon, C. E. (2006). A proposal for the Dartmouth summer research project on artificial intelligence. AI Magazine, 27 (4), 12–14.

McCorduck, P. (1979). Machines who think: A personal inquiry into the history and prospects of artificial intelligence . San Francisco, CA: W.H. Freeman and Company.

Mesquita, L. D. (2018). The “artificial” consumer: Approaches between artificial intelligence and marketing (pp. 3–6). Enanpad, Curitiba: ANPAD Meetings.

Mikalef, P., & Gupta, M. (2021). Artificial intelligence capability: Conceptualization, measurement calibration, and empirical study on its impact on organizational creativity and firm performance. Information & Management, 58 (3), 103–434.

Moher, D., Liberati, A., Tetzlaff, J., & Altman, D. G. (2009). Preferred reporting items for systematic reviews and meta-analyses: The PRISMA statement. Annals of Internal Medicine, 151 , 264–269.

Nascimento, M. A., & Anna, Q. M. (2010). The quest for artificial intelligence: A history of ideas and achievements (pp. 1–4). Enanpad, São Paulo: ANPAD Meetings.

Nilsson, N. (1971). Problem-solving methods in artificial intelligence . New York: McGraw-Hill.

Nilsson, N. J. (2010). The Quest for Artificial Intelligence: A history of Idea sand Achievements. Cambridge University Press, Kybernetes, 40 (9/10), 1553–1553.

O’Connell, M. S., Doverspike, D., Gillikin, S., & Meloun, J. M. (2001). Computer anxiety: Effects on computerized testing and implications for e-recruiting. Journal of e-Commerce and Psychology, 1 , 25–39.

OECD (2019). Artificial intelligence in society. OECD Publishing. Organisation for Economic Co-operation and Development. https://www.oecd.org/publications/artificial-intelligence-in-society-eedfee77-en.htm

Oracle and Future Workplace. (2019). Global research highlights how AI is changing the relationship between people and technology at work . Oracle.

Orvis, K. A., Brusso, R. C., Wasserman, M. E., & Fisher, S. L. (2011). Enabled for e-learning? The moderating role of personality in determining the optimal degree of learner control in an e-learning environment. Human Performance, 24 , 60–78.

Pessach, D., Singer, G., Avrahami, D., Ben-Gal, H. C., Shmueli, E., & Ben-Gal, I. (2020). Employees recruitment: A prescriptive analytics approach via machine learning and mathematical programming. Decision Support Systems, 134 , 113–290.

Petriglieri, G., Ashford, S. J., & Wrzesniewski, A. (2019). Agony and ecstasy in the gig economy: Cultivating holding environments for precarious and personalized work identities. Administrative Science Quarterly, 64 , 124–170.

Phillips-Wren, G., Mora, M., Forgionne, G. A., & Gupta, J. N. (2009). An integrative evaluation framework for intelligent decision support systems. European Journal of Operational Research, 195 (3), 642–652.

Piccoli, G., Ahmad, R., & Ives, B. (2001). Web-based virtual learning environments: A research framework and a preliminary assessment of effectiveness in basic IT skills training. MIS Quarterly, 25 , 401–426.

Raisch, S., & Krakowski, S. (2021). Artificial intelligence and management: The automation–augmentation paradox. Academy of Management Review, 46 (1), 192–210.

Rampersad, G. (2020). Robot will take your job: Innovation for an era of artificial intelligence. Journal of Business Research, 116 , 68–74.

Ransbotham, S., Candelon, F., Kiron, D., LaFountain, B., & Khodabandeh, S. (2021). The cultural benefits of artificial intelligence in the Enterprise . Cambridge, MA, USA: MIT Sloan Management Review and Boston Consulting Group.

Reiter-Palmon, R., Brown, M., Sandall, D. L., Buboltz, C., & Nimps, T. (2006). Development of an O*NET web-based job analysis and its implementation in the U.S. Navy: Lessons learned. Human Resource Management Review, 16 , 294–309.

Ritzer, G. (2011). The Mcdonaldization of Society . Sage.

Ruël, H., Bondarouk, T., & Looise, J. K. (2004). E-HRM: Innovation or irritation. An explorative empirical study in five large companies on web-based HRM. Management Revue, 15 , 364–380.

Salas, E., DeRouin, R., & Littrell, L. (2005). Research based guidelines for distance learning: What we know so far. In H. G. Gueutal & D. L. Stone (Eds.), The brave new world of eHR: Human resources management in the digital age (pp. 104–137). San Francisco: Jossey Bass.

Silverman, R. E., & Gellman, L. (2015). Women in the workplace (A special report) – Apps to battle job bias: Software takes on hiring and workplace practices. The Wall Street Journal Eastern edition.

Stein, V., & Scholz, T. M. (2020). Manufacturing revolution boosts people issues: The evolutionary need for “human automation resource management” in smart factories. European Management Review, 17 (2), 391–406.

Stoltzfus, J. C. (2011). Logistic regrssion: A brief primer. Academic Emergency Medicine, 10 , 1099–1104.

Stone, D. L., Deadrick, D. L., Lukaszewski, K. M., & Johnson, R. (2015). The influence of technology on the future of human resource management. Human Resource Management Review, 25 (2), 216–231.

Stone, D. L., Lukaszewski, K., & Isenhour, L. C. (2005). E-Recruiting: Online strategies for attracting talent. In H. G. Gueutal & D. L. Stone (Eds.), The Brave New World of eHR: Human Resources Management in the Digital Age (pp. 22–53). Jossey Bass.

Sullivan, J. (2014). A walk through the HR department of 2020 (pp. 7–9). Workforce Solutions Review.

Tambe, P., Hitt, L. M., Rock, D., & Brynjolfsson, E. (2019). IT, AI and the growth of intangible capital . Available at SSRN 3416289.

Toniolo, K., Masiero, E., Massaro, M., & Bagnoli, C. (2020). Sustainable business models and artificial intelligence: Opportunities and challenges. Knowledge, people, and digital transformation (pp. 103–117). Springer.

Ulrich, D., Younger, J., Brockbank, W., & Ulrich, M. (2012). HR from the outside in: Six competencies for the future of human resources . McGraw Hill.

van den Broek, E., Sergeeva, A., Huysman, M., & Huysman Vrije, M. (2021). When the machine meets the expert: An ethnography of developing AI for hiring. Management Information Systems Quarterly, 45 (3), 1557–1580.

Vrontis, D., Christofi, M., Pereira, V. E., Tarba, S. Y., Makrides, A., & Trichina, E. (2021). Artificial intelligence, robotics, advanced technologies and human resource management: A systematic review. The International Journal of Human Resource Management, 33 , 1237–1266.

Wallace, P., & Clariana, R. B. (2005). Test mode familiarity and performance-Gender and race comparisons of test scores among computer literate students in advanced information systems. Journal of Information Systems Education, 16 , 177–183.

Wamba-Taguimdje, S.-L., Wamba, S. F., Kamdjoug, J. R. K., & Wanko, C. E. T. (2020). Influence of artificial intelligence (AI) on firm performance: The business value of AI-based transformation projects. Business Process Management Journal, 26 (7), 1893–1924.

Wang, X., Wang, L., Zhang, L., Xu, X., Zhang, W., & Xu, Y. (2017). Developing an employee turnover risk evaluation model using case-based reasoning. Information Systems Frontiers, 19 (3), 569–576.

Welsh, E. T., Wanberg, C. R., Brown, E. G., & Simmering, M. J. (2003). E-learning: Emerging uses, empircial results and future direction. International Journal of Training and Development, 7 , 245–258.

Wei, J. (2019). Applying machine learning to human resource management systems . Huazhong University of Science and Technology. Dissertation.

Winston, P. H. (1984). Artificial intelligence (2nd ed., pp. 75–80). Addison-Wesley Longman Publishing Co. Inc.

Winston, P. E. (2015). Model-based story summary . Atlanta: 6th International Workshop on Computational Models of Narrative.

Xu, Q., Liu, X., Jiang, C., & Yu, K. (2016). Nonparametric conditional autoregressive expectile model via neural network with applications to estimating financial risk. Applied Stochastic Models in Business and Industry, 32 (6), 882–908.

Zhou, Z. (2016). Machine learning . Tsinghua University Press.

Zhou, S., Yu, B., Sun, A., Long, C., Li, J., Yu, H., & Li, Y. (2022). A survey on neural open information extraction: Current status and future directions . arXiv preprint arXiv:2205.11725

Download references

This study was supported by the National Natural Science Foundation of China (Grant Nos. 71802134 and 72372079).

Author information

Authors and affiliations.

School of Economics & Management, Shanghai Institute of Technology, Shanghai, 201418, China

Yuming Zhai & Lixin Zhang

College of Business Administration, Ningbo University of Finance and Economics, Ningbo, 315175, China

Mingchuan Yu

You can also search for this author in PubMed   Google Scholar

Corresponding author

Correspondence to Mingchuan Yu .

Ethics declarations

Conflict of interest.

The authors declared no competing interests.

Additional information

Publisher's note.

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.

Reprints and permissions

About this article

Zhai, Y., Zhang, L. & Yu, M. AI in Human Resource Management: Literature Review and Research Implications. J Knowl Econ (2024). https://doi.org/10.1007/s13132-023-01631-z

Download citation

Received : 03 May 2023

Accepted : 13 November 2023

Published : 24 January 2024

DOI : https://doi.org/10.1007/s13132-023-01631-z

Share this article

Anyone you share the following link with will be able to read this content:

Sorry, a shareable link is not currently available for this article.

Provided by the Springer Nature SharedIt content-sharing initiative

  • Artificial intelligence
  • Human resource management
  • Bibliometric review
  • Paradox lens
  • Find a journal
  • Publish with us
  • Track your research

MPA 602 Human Resources Management: Literature Review

  • Literature Review
  • DVDs & Videos
  • Citation Help
  • Library Services

What is a Literature Review?

A literature review is a critical summary of what the scientific literature (books, articles, studies, theses and dissertations) says about your specific topic or question. Often student research in APA fields falls into this category. Your professor might ask you to write this kind of paper to demonstrate your familiarity with work in the field pertinent to the research you hope to conduct.

A literature review typically contains the following sections:

Introduction section (why is this topic important?)

List and analysis of references

Some instructors may also want you to write an abstract for a literature review, so be sure to check with them when given an assignment. Also, the length of a literature review and the required number of sources will vary based on course and instructor preferences.

(Adapted from the Purdue Online Writing Lab)

What should a literature review include?

Introduction :  Explain why this research topic is important.  Outline what direction your review will take: i.e., what aspects of the topic you’re focusing on.  

Body :  Present your summaries and evaluations of the sources in a clear, logical, and coherent manner.  Some options for organizing your review include chronological, order of importance, two sides of a controversial problem, differences in perspective or viewpoint.  Your review must “read” like a coherent paper, not a list.

Note :  Most literature reviews describe only the main findings, relevant methodological issues, and/or major conclusions of other research.

Ensure your final list of references includes all sources you’ve discussed, and use the citation style required in your discipline.

(Adapted from the Purdue Online Writing Lab) 

How to Write a Literature Review

A tutorial by North Carolina State Universtiy

Subject Guide

  • << Previous: About
  • Next: Articles >>
  • Last Updated: Jan 17, 2024 4:47 PM
  • URL: https://liu.brooklyn.libguides.com/mpa602

Banner

Human Resource Management

  • Find Articles Help
  • Human Resources Dictionary & Glossary of Terms
  • Find Course Journal TItles - Possibly Delete
  • Search Tips and Tutorials
  • Finding Dissertations
  • APA Citation Help

What is a Literature Review?

  • RefWorks Tutorials
  • HRM 310 Weekly Resources (2020)
  • HRM 311 Weekly Resources (2020)
  • Jobs, Careers, Recruiting
  • Professional Associations/Organizations
  • Training and Development
  • Find Books and eBooks
  • Get Items from Other Libraries/ILLiad (Interlibrary Loan)

The Purpose of a Literature Review is to gain an understanding of the existing research relevant to a particular topic or area of study and to present that knowledge in the form of a written report.  Learning important concepts, and research methods will bring insights into the topic chosen.  Ultimately, achieving a better understanding of a particular discipline and/or topic based upon the research findings.   

Writing the Literature Review: Step-by-Step Tutorial for Graduate Students - David Taylor, University of Maryland, Collage Park

The Literature Review Part Two - David Taylor, University of Maryland, College Park

  • << Previous: APA Citation Help
  • Next: RefWorks >>
  • Last Updated: May 16, 2024 2:18 PM
  • Guide URL: https://libguides.wilmu.edu/HRM/MHR

literature review topics in human resource management

Thank you for visiting nature.com. You are using a browser version with limited support for CSS. To obtain the best experience, we recommend you use a more up to date browser (or turn off compatibility mode in Internet Explorer). In the meantime, to ensure continued support, we are displaying the site without styles and JavaScript.

  • View all journals
  • My Account Login
  • Explore content
  • About the journal
  • Publish with us
  • Sign up for alerts
  • Review Article
  • Open access
  • Published: 17 May 2024

Assessing the status quo of international employees’ adjustment research, 1990–2022: a review and future research agenda

  • Irma Baneviciene 1 ,
  • Maike Andresen 2 &
  • Vilmante Kumpikaite-Valiuniene 3  

Humanities and Social Sciences Communications volume  11 , Article number:  633 ( 2024 ) Cite this article

Metrics details

  • Business and management
  • Politics and international relations

This study aims to comprehensively review scientific journal articles related to the adjustment of international employees within the management and business domain from 1990 to 2022. The study seeks to identify trends and patterns in research topics and to propose a future research agenda. To achieve this, we analysed 222 articles from the Web of Science Core Collection database through two main steps: (1) a bibliometric analysis to track the field’s evolution over time and (2) a content analysis of abstracts to examine covered topics and pinpoint research gaps. Our findings indicate that the theory surrounding the adjustment of international employees is still in the process of maturation, with several potential areas for future research emerging. The analysis reveals that factors influencing adjustment are the most extensively researched for assigned expatriates, leaving other international employees relatively under-researched. Moreover, quantitative research emerged as the most prevalent methodological approach among the included studies. Most study samples predominantly consisted of individuals moving between Asia, Europe, and North America, underscoring the significance of Africa—characterised by substantial migration flows within the region—as a focal point for future adjustment research. Moreover, individual-, organisation-, and country-related antecedents of international employees’ anticipatory and in-country adjustments were analysed to present conclusions for future research. This study supplements the domains of international human resource management and international business by identifying research priorities concerning the adjustment of international employees and outlining an agenda for further research.

Introduction

Economic globalisation facilitates the movement of people, capital, goods, and ideas across borders, leading to a significant rise in international mobility among the workforce, a trend that is of global relevance (Duan et al. 2021 ). According to the International Organisation for Migration (IOM UN Migration 2022 ), the global population of international migrants reached approximately 281 million in 2020, representing 3.6% of the world’s population. This figure marks a significant increase from previous years, with 128 million more international migrants than in 1990 and over three times the number reported in 1970 (IOM UN Migration 2022 ). The adjustment of these individuals to new countries and organisations varies depending on factors such as language barriers, geopolitical dynamics, cultural differences, and familial status. Therefore, research into working people’s international mobility and adjustment has gained much attention from researchers worldwide.

A review of previous studies on adjustment highlights a predominant focus on cross-cultural issues, including the development of adjustment over time, the influence of prior international experience, cross-cultural training, and intercultural learning (Chenyang 2022 ; Morris et al. 2014 ; Nam et al. 2014 ; Takeuchi and Chen, 2013 ). Additionally, numerous antecedents of expatriate adjustment have been examined, such as personality traits, expatriate-local interactions, family dynamics, and organisational factors (Van Bakel 2019 ; Dang et al. 2022 ; Harari et al. 2018 ; Haslberger and Brewster 2008 ; Kang and Shen 2018 ; Takeuchi 2010 ). Similarly, studies by Hajro et al. ( 2019 ), Schudey et al. ( 2012 ), and Shen and Hall ( 2009 ) explored the influences of individual, organisational, and social variables on migrants’ acculturation, coping mechanisms and integration, as well as repatriate readjustment.

This review makes a unique contribution by focusing on the factors influencing the adjustment of different groups of international employees, namely expatriates and migrants. Through systematic literature mapping, it delineates the scope of existing research on adjustment, its evolution over time, and differences between employee groups. By aligning findings with macro-level migration data, the study identifies research gaps and priorities, which are crucial for enhancing our understanding of adjustment processes and informing future research directions. This unique approach aims to advance research on the adjustment of international employees (IE), thereby contributing to the existing body of knowledge on international human resource management and international business.

The literature reveals a plethora of definitions of IEs based on various factors such as mobility patterns, employment characteristics, education level, support availability, and planned duration of stay in a foreign country. However, these definitions often overlap, and authors tailor unique definitions to suit their research needs (Andresen et al. 2018 ). Common types of IEs include assigned expatriates, self-initiated expatriates (SIEs), sojourners, migrants, international business travellers, short-term assignees, rotational assignees, and international commuters, with SIEs, assigned expatriates, skilled migrants, and skilled immigrants being the most frequently discussed groups in the literature (Andresen et al. 2014 ; McNulty and Selmer 2017 ; Cerdin and Selmer 2014 ; McNulty and Brewster 2017 ).

The adjustment of IEs is multifaceted and varies depending on the type of IE and the circumstances surrounding their becoming IEs (Shaffer et al. 1999 ). According to Waxin and Panaccio ( 2005 ), the intercultural adjustment of expatriates is defined as a ratio of human psychological comfort and knowledge of a foreign culture. However, scholars have offered differing definitions of intercultural adjustment, with terms such as adjustment, adaptation, assimilation, acculturation, and integration often used interchangeably (Harrison et al. 2004 ). In this study, “adjustment” is the standard term to denote realigning one’s needs with new cultural demands after relocating to an unfamiliar cultural environment (Aycan 1997 ; Bhaskar-Shrinivas et al. 2005 ).

Against this backdrop, a hybrid literature review was conducted, combining bibliometric analysis and content analysis of scientific article abstracts published between 1990 and 2022. Generated systematic literature mapping aimed to (1) provide insights into the field’s evolution over time; (2) identify research trends, priorities, and critical areas; (3) pinpoint research gaps for future exploration.

This study contributes to adjustment theory in five key ways. Firstly, it highlights the need to refine the adjustment construct’s definition, conceptual landscape, nomological network, and causal mechanisms. Secondly, it underscores the importance of systematically identifying the boundary conditions of adjustment theory. Thirdly, it tracks evolutionary nuances to anticipate the trajectory of adjustment research. Fourthly, it identifies critical knowledge gaps to inform future research directions. Finally, recommendations for research methods are provided to facilitate the evolution of adjustment theory from an intermediate to a mature state.

The paper has been structured into four parts. The first part defines adjustment together with an overview of its most essential antecedents that can be identified in the literature. It expounds upon the methodology and strategy used in the study. The second part presents the findings of the bibliometric analysis that indicates general information such as publication year, country, and the research sample’s nationality. The third part covers the content analysis of the abstracts with the presentation of the covered themes and research areas. The final part then discusses the main results and limitations and outlines future research areas.

Theoretical background

The adjustment model proposed by Black et al. ( 1991 ) depicts the factors influencing adjustment and refers to the group of assigned expatriates. The authors differentiate between anticipatory and in-country adjustment, representing two stages of the expatriate cross-cultural adjustment process. Anticipatory adjustment, which occurs before the international relocation, is determined by individual factors, such as training and previous experience and organisational factors, such as selection mechanisms and criteria. It is assumed that individuals’ anticipatory adjustment, i.e., their preparation before they embark on the journey to the host country, will ease their adjustment abroad. Black et al. ( 1991 ) highlighted four influencing factors related to in-country adjustment, which takes place upon relocation to the destination country, that relate to the sphere of the individual (self-efficacy, relation skills, and perception skills), job (role clarity, role discretion, role novelty, role conflict), organisation (organisation culture novelty, social support, logistical help, socialisation tactics, socialisation content), and nonwork (culture novelty and family-spouse adjustment). The in-country adjustment process leads to different degrees of adjustment in terms of work, interaction , and general adjustment in the country of destination that can be measured.

Subsequent researchers delving into adjustment and extending the framework proposed by Black et al. ( 1991 ) revealed additional factors influencing anticipatory and in-country adjustment. For instance, Yijälä et al. ( 2012 ) investigated the anticipatory adjustment of highly skilled, self-initiated foreign employees, shedding light on specific challenges and strategies pertinent to this cohort. They differentiate between psychological , socio-psychological , and work-related anticipatory adjustment. Lett and Smith ( 2009 ) distinguished – analogous to Black et al. ( 1991 ) – pre-departure and in-country adjustment and highlight individual , organisational , job , and non-work factors that impact adjustment before and after moving to the destination country.

Ritchie et al. ( 2015 ) expanded on general adjustment following relocation by identifying additional precursors, including job satisfaction, team cohesion, and alignment with organisational values. Additionally, they advocate for the incorporation of control variables related to demographics and individual traits such as gender, family status, parental responsibilities, professional background, tenure, and linguistic abilities (Caligiuri et al. 1998 ; Canhilal et al. 2015 ; Chen 2010 ; Lee et al. 2014 ), a recommendation that subsequent scholars have adopted in their studies. Hippler et al. ( 2014 ) divided their scale into ten factors delineating various aspects or changes that may necessitate adjustment. These factors encompass aspects of the work environment, language proficiency, job or task attributes, recreational activities, urban setting, work-life balance, living accommodations, familial dynamics, local social connections, and communication with those remaining behind. This approach shows that work - related facets of IEs’ adjustment receive the least attention.

After reviewing the antecedents of adjustment proposed by different authors (e.g., Black et al. 1991 ; Caligiuri et al. 1998 ; Chen, 2010 ; Hippler et al. 2014 ; Lee et al. 2014 ; Lett and Smith, 2009 ; Ritchie et al. 2015 ), both similarities and some differences become apparent. Based on this overview, we group the antecedents of IEs’ adjustment (anticipatory and in-country) into the following main groups: individual-, organisation-, and country-related antecedents (see Fig. 1 ).

figure 1

Model of factors influencing IE adjustment.

The study aims to achieve several objectives: firstly, to offer a comprehensive overview of the evolution of research within the adjustment field over time, including the types of international employees (IEs) whose adjustment is being researched, the terminology utilised to describe ‘adjustment’ in publications, and the research methodologies employed. Secondly, it seeks to identify trends in research topics, delineate research priorities, and highlight critical research areas. Lastly, the study aims to uncover research gaps that necessitate attention in future studies.

The methodology employed in our study, illustrated in Fig. 2 , follows an adapted systematic mapping approach proposed by Petersen et al. ( 2008 ). This approach enables the collation, description, and cataloguing of available evidence, as elucidated by James et al. ( 2016 ). By adopting this approach, we can provide a broad overview of a research field and identify the amount and type of research in this field (Petersen et al. 2008 ; Soaita et al. 2020 ), as elaborated upon in subsequent sections.

figure 2

Study mapping process.

For analysis purposes, we utilised the Web of Science (WoS) Core Collection database, renowned as one of the premier platforms for scientific citation search, discovery, and analytical information (Li et al. 2018 ). Scholars frequently rely on this database for bibliometric analyses (Vlase and Lähdesmäki 2023 ). With its comprehensive coverage spanning articles from 1900 onwards (Chadegani et al. 2013 ), the WoS database provides a robust foundation for gaining insights into trends in academic research on IEs’ adjustment, a vital component of this study.

To conduct our literature search, we established specific inclusion criteria. We designated the base timeframe for the search period from 1990 to 2022 (July). Within the WoS platform, we focused on the management and business categories, representing the primary disciplines relevant to international employees’ adjustment. Articles were restricted to published in English, the predominant language for international collaboration.

We formulated search terms targeting IEs and an adjustment in identifying relevant articles. For the IE aspect, keywords such as immigrant, migrant, and expatriate were employed. Concerning adjustment, the terms adaptation, assimilation, acculturation, and integration were selected, aligning with the terminology outlined by Harrison et al. ( 2004 ) as synonymous with adjustment. The search terms were combined of the two search fields into a search string using “AND” to search the title, abstracts, or keywords of the articles, i.e. (immigra* OR migra* OR expatriat*) AND (adjust* OR adapt* OR assimilat* OR acculturat* OR integrat*). As an additional criterion, it was stipulated that one of the keywords related to adjustment must be present as an article keyword. Article keywords were meticulously chosen by authors to accurately encapsulate the essence of their paper (Emich et al. 2020 ; Zhang et al. 2016 ). Hence, if authors perceive their article as directly pertinent to adjustment, they are inclined to opt for the term as a keyword.

The search yielded a total of 444 articles. The abstracts of these articles were imported into the MAXQDA software, commonly used for qualitative and mixed methods research. Each abstract was meticulously reviewed to confirm its relevance to IE adjustment. In cases where abstracts lacked clarity and inclusion or exclusion was uncertain, the introduction or conclusion of the paper was consulted for clarification (Petersen et al. 2008 ). Out of the initial pool, 222 articles were identified as unrelated to IE adjustment, focusing instead on consumer acculturation’s impact on product selection, micromarketing issues regarding immigration and acculturation, and differences in labour and capital incomes between immigrants and natives. The final selection of the articles for the study consists of 222 articles.

A hybrid approach combining bibliometric analysis and structured review was adopted to analyse the data and achieve the research objectives, following the framework proposed by Paul and Criado ( 2020 ). Bibliometric analysis provided insights into the evolution of the field and trends in articles on adjustment and their prevalence concerning types of international employees published from 1990 to 2022. Concurrently, structured review techniques, including content analysis, were employed to identify research trends and uncover research gaps (Paul and Criado 2020 ). Content analysis systematically condenses extensive text into categories based on predefined coding rules, facilitating the identification of document trends and patterns (Stemler 2000 ), thus offering a systematic and objective means of describing and quantifying phenomena (Downe-Wamboldt, 1992 ).

The initial coding process involved 50 articles from the corpus of 222, conducted by one author and subsequently reviewed by other authors. The coding system was refined through discussions among the authors, ensuring consensus. Following this, the 50 initial abstracts were re-analysed, and all remaining abstracts were subjected to the established coding rules. (1) Main categories were created for all statistical data: publication year, research method, terminology of ‘adjustment’ used in the articles, country of research, nationality of participants, and type of IE. (2) Deductive categories of anticipatory and in-country adjustment were utilised to examine the antecedents of IE adjustment. Each category was further subdivided into individual-related, organisation-related, and country-related antecedents. Inductive codes were then defined for each identified antecedent and assigned to the deductive categories (refer to Table 1 for details).

All statistical data and specified antecedents underwent coding based on the abstracts. A total of 1522 coding instances were assigned. The total number of codings per category sometimes varied from the total number of articles in the corpus. This discrepancy occurred because not all articles included information relevant to every category, or multiple subcategories within an article were pertinent, resulting in multiple codings. For instance, if an article examined and assigned expatriates and self-initiated expatriates within its sample, two codings were recorded under the IE type category.

The interrelationships among the categories were analysed to identify prevalent themes and underlying patterns of connection.

General information

Field progression over time.

A total of 222 articles spanning from 1990 to 2022 were subjected to analysis (refer to Fig. 3 ). The distribution of articles across each year within this timeframe reveals distinct phases in the evolution of interest in IE adjustment research: before 1999, between 2000 and 2016, and from 2017 onwards. Before 1999, sporadic publications occurred every few years (a total of five), indicating budding interest in the field without establishing it as a full-fledged area of research. From 2000 to 2016, researchers consistently, albeit modestly, addressed IE adjustment, with the number of published articles gradually increasing from two per year to a maximum of 12 in specific years. Notably, since 2017, 27 years after the first publication on IE adjustment, the annual publication count has consistently reached 20 or more, albeit not every year. This sustained growth in publications within the management and business domains reflects rising scholarly interest in IE adjustment. Such findings affirm our initiative to delve into topic diversity, identify research gaps, and contribute to the future advancement of the field.

figure 3

Number of articles on IE adjustment published per year, 1990–2022.

Types of IEs researched

Coding the type of IEs studied in the articles in the corpus generated 230 codings (see Fig. 4 ). Based on the terminology used in the abstracts by the researchers themselves to elucidate the types of IEs studied in each case, two subcategories of IEs were generated: (a) expatriates (assigned expatriates and self-initiated expatriates) and (b) migrants (migrant workers, immigrants, and skilled/qualified migrants).

figure 4

Use of the different IE types to name the samples per year.

In comparison, a more significant proportion of articles concentrated on the expatriate cohort (197 articles) than the migrant cohort (33 articles). Specifically, assigned expatriates emerged as the most extensively studied subgroup within the expatriate cohort, with 165 articles dedicated to their adjustment consistently appearing in the scientific literature over the years. Notably, research on the adjustment of assigned expatriates commenced as early as 1990 and has steadily escalated since 2000. The period post-2017 witnessed a sustained and notable volume of articles on assigned expatriates, indicating continued scholarly interest in this area.

Conversely, a significantly smaller number of research publications delved into the adjustment of self-initiated expatriates (SIEs) (32 articles), albeit ranking as the second highest. Interestingly, the earliest article addressing the adjustment of SIEs only emerged in 2008. Although the number of articles SIEs has remained relatively low over the years, there was a notable surge in 2021 with nine articles. Nonetheless, research on SIEs has persisted since 2012, albeit in limited numbers.

The second cohort, migrants, was represented in 33 articles. Among these, the term “immigrant” was predominantly utilised in 20 articles to define the focus group of their research. Four articles specifically focussed on migrant workers, while nine underscored the high skills or qualifications of the migrants in their respective samples. Moreover, research on adjustment primarily concentrated on adjusting IEs to the host country, with no studies additionally analysing the reciprocal adjustment of locals to the cultural changes introduced by IEs.

To summarise, most adjustment research focuses on expatriates, particularly assigned expatriates, with a notable increase in articles over the years. Conversely, studies on all other groups have remained consistent, albeit low, levels. Furthermore, adjustment was predominantly explored unilaterally through the lens of IEs.

Adjustment terminology used

The terms adjustment, acculturation, assimilation, integration, and adaptation have been used to describe IEs’ successful settling in a new host country, new job, or community. Figure 5 shows the adjustment terms used in the scientific literature concerning a specific type of IE.

figure 5

Use of terminology around “adjustment” according to IE types.

Assimilation is the least utilised term in the literature on IE adjustment, appearing in only two articles. Acculturation, integration, and adaptation were employed more frequently, with 13, 12, and 23 articles, respectively. However, the usage frequency of these terms pales compared to the predominant use of the term adjustment, which was featured in 174 articles.

Furthermore, we analysed the extent to which multiple terms were employed within individual article abstracts. While most authors consistently used only one term in their articles, a minority of articles (9) utilised four of the five adjustment terms in varying combinations. For instance, as the primary term, adjustment was paired with acculturation (1) and integration (1). Acculturation, as the primary term, was coupled with adjustment (1), assimilation (1), or integration (4). Assimilation, as the primary term, was combined with acculturation (1) and integration (2). Notably, the term adaptation was not used concurrently with the other terms. Integration was frequently interchanged with other terms within the same articles (7) (refer to Table 2 for details).

The analysis of bibliometric data also highlights variations in the predominant adjustment terms across different types of international employees. A comparison between expatriates and migrants reveals distinct patterns. Research articles concerning expatriates predominantly utilised the terms adjustment (160 [81.2%]) and adaptation (21 [10.7%]). Conversely, these terms were less prevalent in studies focusing on migrants, accounting for only 14 (42.4%) and 2 (6.1%) instances, respectively. Notably, the term assimilation was exclusively used in studies on migrants (2 instances), while integration (migrants: 10 [30.3%]; expatriates: 2 [1%]) and acculturation (migrants: 11 [33.3%]; expatriates: 7 [3.6%]) were employed more frequently in research related to migrants compared to expatriates.

Research methods

Table 3 presents the research methods outlined in the abstracts of the articles. These methods were categorised based on the research onion framework proposed by Saunders et al. ( 2009 ), distinguishing between methodological choice, time horizon, and strategy. Quantitative research emerged as the most frequently employed methodological choice (124 instances) in IE adjustment research, followed by qualitative research methods (38 instances) and mixed methods (11 instances), with a considerable margin between them. Concerning the time horizon of the research, only 11 articles with a longitudinal design were identified since 1990 in the domain of IE adjustment. Several unique features were observed regarding the research strategy, including case studies (2 instances) and secondary sources (7 instances). Notably, the methodological choice was listed in the abstracts of only 186 (84%) articles.

In summary, quantitative research predominated in both expatriate and migrant groups. However, studies on migrants exhibited a relatively higher proportion of qualitative methods. Additionally, there was slightly more variability in the research methods employed for expatriates than migrants.

Trends in research topics and critical research priorities

Host countries and nationality of participants.

Notably, 154 articles specified the country or countries where the research was conducted, while 96 articles indicated the nationality of the participants. Some articles opted to identify regions rather than specific countries (e.g., Asia or Africa) without providing details on the nationalities of the participants, leading to ambiguity regarding the participants’ origins and the research locations. The information extracted from the articles was categorised based on the type of international employee (IE) under study, as outlined in Table 4 .

Whenever available, the nationalities of the IE samples were classified according to geographic regions defined by the (United Nations 2022 ): Africa, Asia, Europe, Latin America and the Caribbean, North America, and Oceania. Analysis of the abstracts revealed that the samples predominantly comprised IEs from Asian (42 instances), European (24 instances), and North American (14 instances) origins. Conversely, IEs from Africa (1 instance), Latin America and the Caribbean (3 instances), and Oceania (2 instances) were less frequently examined in terms of adjustment. Among the focal regions, Chinese (17 instances), Japanese (12 instances), and American (12 instances) IEs were the most commonly studied. Notably, the Japanese IE group exclusively consisted of assigned expatriates.

A similar trend is observed concerning the host countries where international employees reside. Based on available data, the majority of research on IE adjustment focused on IEs living in Asia (93 instances), Europe (23 instances), and North America (18 instances), with significantly fewer studies conducted in regions such as Africa (8 instances), Latin America and the Caribbean (4 instances), and Oceania (8 instances). Examining individual countries, the data indicate that China (25 instances), Japan (10 instances), and the United States (13 instances) were the primary host countries for IE adjustment research. Among studies focusing on Japan or China as host countries, the articles predominantly referred to expatriates, particularly assigned expatriates (84% and 70%, respectively), rather than migrants.

Overall, the findings suggest that regions such as Africa, Latin America, the Caribbean, and Oceania, along with their nationals, were significantly underrepresented in research on IE adjustment.

Anticipatory adjustment of IEs

Anticipatory adjustment, comprising 34 studies, was most frequently examined in association with assigned expatriates (23 studies) (refer to Table 5 ). Anticipatory adjustment was not a significant focus in studies involving migrant IE groups (4 studies). The two primary factors explored concerning anticipatory adjustment were cross-cultural training to prepare assigned expatriates for their new roles during foreign assignments (9 studies) and previous international experience (11 studies, of which eight referred to assigned expatriates). Other factors, such as language proficiency, motivation to migrate, pre-departure expectations, organisational support and identification, recruitment/selection, and the host country environment, were only explored in limited studies.

In-country adjustment of IEs

Many studies have dealt with adjustment in the host country, which was named 238 times. Factors/antecedents were grouped into individual-, organisation- and country-related groups (refer to Table 6 ). Individual factors were researched most frequently (155), followed by organisational (95) and country-related (78) factors.

Out of individual factors, demographics such as gender and age were explored in 14 articles related to the expatriate group. Personal characteristics, including cultural competence, personality traits, and networks, were the most extensively researched aspect, with 105 studies dedicated to this area. Most of this research targeted assigned expatriates (79 studies), with relatively fewer studies focusing on SIEs and the broader migrant group (14 and 12 studies, respectively). Additionally, there were 22 articles focusing on spouse/family adjustment, examining how family dynamics impacted IE adjustment and considering factors such as support networks, personality traits, host country nationals, and language proficiency. Most of these articles (20 out of 22) were related to assigned expatriates. Individual work-related characteristics, such as organisational commitment, embeddedness, and job satisfaction, were also investigated in 14 studies, with all but two articles referencing the expatriate group.

Regarding organisational factors, particular attention was given to two areas: human resource strategy and management (including leadership, performance management, and organisational support), which were the focus of 35 studies, and employee relations (such as international teamwork, social support networks, and organisational socialisation), which were explored in 30 studies. Additionally, there were studies examining job-related factors (such as role clarity and workplace learning) and the role of the work environment in adjustment (including organisational culture and extrinsic motivation). Most of these articles primarily focused on assigned expatriates, with four-fifths of the articles on HR strategy and management related to this group.

Finally, concerning country-related factors , studies focused mainly on culture (cross-cultural training, cross-cultural communication, and cultural gap, novelty) (43), as well as networks (social support networks, spousal/family support, and host country nationals) (21) and the impact of the host country environment (culture, safety, location, leisure time, etc.) (14) on IE adjustment. Like the previously analysed groups, country-related factors influencing adjustment primarily concentrated on assigned expatriates (59 studies), potentially limiting the generalisation of adjustment patterns to other types of IEs.

In summary, individual, organisational, and country-related factors were predominantly examined through the lens of assigned expatriates. Regarding the distribution of topics by IE type, the analysis revealed that studies on assigned expatriates (49.8%) and SIEs (50%) primarily focused on individual factors. In contrast, most studies on the migrant group emphasised organisational antecedents (40.8%). Country-related factors received comparatively less attention across all IE types, with 24.5% of studies on assigned expatriates, 15.8% on SIEs, and 26.5% on the migrant group exploring these aspects.

By employing a hybrid analysis, which integrates partial bibliometric analysis and abstract content analysis of scientific articles published between 1990 and 2022, we accomplished two of our objectives: (1) furnishing comprehensive insights into the evolution of the field over time, and (2) identifying trends in research topics to grasp research priorities and essential research areas. In the subsequent sections, we will delve into our third objective, (3) uncovering research gaps that warrant attention in future research. Table 7 outlines the principal findings and a proposed research agenda, which we will elucidate below.

Research agenda

General information about the field progression over time indicates that the number of articles per year increased consistently, indicating that the field of IEs adjustment is of rising interest to management and business researchers. Nevertheless, as shown in the following, abstract content analysis of IE adjustment revealed several under-researched avenues for future research.

This analysis underscores a notable emphasis on expatriates in IE adjustment research, particularly assigned expatriates, which constituted approximately 72% of all articles. Conversely, other types of IEs remain relatively underexplored, aligning with previous research highlighting the dearth of scholarly attention on international career transitions for self-initiated IEs (Hajro et al. 2021 ; Yijälä et al. 2012 ; Zikic et al. 2010 ). Given the likelihood of SIEs and migrants receiving less or no support from their employers during relocation and in the host country, they may encounter distinct and potentially heightened adjustment challenges (Brewster et al. 2017 ). Given the escalating global prevalence of SIEs (Collings et al. 2010 ), the limited coverage of 32 articles on the adjustment of this specific group underscores a critical need for further research.

Moreover, standardising terminology for IE types could enhance the development of adjustment research and improve precision. Notably, the term “immigrant” lacks a robust definition compared to terms like “assigned expatriate,” “self-initiated expatriate,” or “skilled migrant.” Consequently, the ambiguity surrounding the delineation of these groups hampers the comparability of research findings. Future studies would benefit from clearly describing the characteristics of the group(s) under investigation, regardless of the label used. Additionally, given the varied definitions of IEs, more comparative research across two or more IE types is warranted to ascertain whether and how they adjust differently to host country circumstances and the underlying reasons.

Finally, regarding sample perspectives, all studies in the corpus exclusively focused on the adjustment of IEs, who typically represent a minority in the host country, to a foreign culture. However, the adjustment of locals to newcomers and the influences they bring from their home countries, which may affect various aspects of local life, warrant a more thorough examination in future research.

Adjustment Terms

As 76% of articles used the term ‘adjustment,’ it might be concluded that this term is the most acceptable for scientists to use in conjunction with IE adjustment. Adaptation (22) was mainly used in connection with expatriates (91%) and – as the only term – and not along with other terms. Interestingly, many publications on adaptation (totalling 19) primarily focused on cross-cultural processes. Although these adaptation studies explicitly employed “adaptation” in their abstracts, they frequently cited sources with synonymous terms in their full text. For instance, three adaptation studies directly referenced acculturation literature sources (e.g., Berry et al. 1988 ) in the complete text, avoiding the explicit use of “acculturation.” Similarly, seven adaptation articles drew on references from the adjustment literature (J. S. Black and Stephens 1989 ; Lazarova et al. 2010 ) as the theoretical foundation for their adaptation research, without employing the term “adjustment” in the full text. In nine articles, the terms “adaptation” and “adjustment” were used interchangeably within the full text (Jyoti and Kour, 2017 ; Zhang et al. 2021 ). Given that conventional literature searches involve seeking relevant texts in databases based on titles, abstracts, and keywords, there exists a risk of parallel development between adaptation research and other adjustment research despite their overlapping content. Thus, future adaptation research should aim to demonstrate the scientific value of the terminological distinction between adaptation and other forms of adjustment. If this distinction is justified, it is crucial to clearly define and delineate these terms or refer to synonymous adjustment terms through cross-references in abstracts or keywords.

Moreover, the bibliometric analysis unveiled variations in dominant adjustment terms across different IE types. When comparing expatriates and migrants, research articles on expatriates predominantly employed the terms “adjustment” and “adaptation,” these terms were notably less utilised for the migrant groups. However, from a content perspective, both terms are equally pertinent and applicable to both groups. This underscores the need for a comprehensive assessment of literature covering both expatriate and migrant IE types, emphasising the importance of scientific exchange between these two research streams in the future.

Research Methods

The limited range of research methods employed in the study is noteworthy. Of the abstracts analysed, 124 indicated quantitative research methods, whereas 38 indicated qualitative methods. Interestingly, while quantitative methods were used across expatriate and migrant groups, qualitative research methods were comparatively more prevalent in studies focusing on migrant groups, albeit in smaller numbers overall. Existing research offers tentative explanations for adjustment; however, adjustment theory remains in a nascent stage, as evidenced by recent efforts at scale redevelopment (Hippler et al. 2014 ), the varied terminology used (Harrison et al. 2004 ), and calls for more significant consideration of context (Szabó 2022 ). Therefore, adjustment theory is currently classified as an intermediate theory. Although research questions permit the formulation of testable hypotheses, the adjustment construct remains preliminary. To achieve methodological congruence, a hybrid approach combining quantitative and qualitative methods is recommended (Edmondson and McManus 2007 ). Quantitative research enables testing associations between variables, while qualitative research facilitates elaboration on phenomena, explanations, and illumination of adjustment constructs and relationships. Incorporating more qualitative research would provide deeper insights into the individual experiences of IEs, given that expatriation/migration is inherently unique. Furthermore, latent class analyses could offer a person-centred perspective on adjustment, exploring different adjustment strategies individuals adopt and their characteristics and antecedents (Morris et al. 2015 ).

The chosen time horizon also reveals explicit limitations in current research practices. Only 5% of the articles indicated the use of a longitudinal design. Given that adjustment is a dynamic process (Banai, 2022 ; Hippler et al. 2015 ), the field could benefit from more longitudinal studies to understand its temporal development, success factors, and obstacles. A broader range of research methods is desirable to address diverse research questions (Sam and Ward 2021 ). Particularly in research on migrants’ adjustment, future studies should strive for more significant methodological variance, as differences in IE types do not inherently dictate differences in research methodology.

Countries of Destination and Sample Nationalities

IEs relocating to and originating from Asia, Europe, and North America were the most researched groups in studies related to IE adjustment. Compared to the absolute number of migrants, which is highest in the destination regions of Europe (87 million), Asia (86 million), and North America (59 million) (IOM UN Migration 2022 ), the host countries in the articles on which the analyses are based reflected the distribution well. Conversely, an analysis of the increase in migration flows from 2000 to 2020 shows that the regions Asia ( + 37 million), Europe ( + 30 million), North America ( + 18 million), and Africa ( + 10 million) (IOM UN Migration, 2022 ) are of the highest relevance. However, the fewest adjustment studies have been conducted in the regions of Africa, as well as Latin America, the Caribbean, and Oceania so far. In particular, the hitherto scarcely explored region of Africa, characterised by a high proportion of migration flow within the region and not across regions as applies to other regions (IOM UN Migration 2022 ), assumes great significance for future adjustment research. Many scholars posit that adjusting to a host culture that is culturally very different proves more difficult for IEs (Li et al. 2013 ; Varela and Gatlin-Watts, 2014 ). However, Selmer ( 2007 ) presents evidence suggesting that adjusting to a similar host culture can be as challenging as adjusting to a different one. Consequently, there should be a focus on the nuances of intraregional migration and adjustment, particularly in Africa.

Based on the information in the article abstracts, the most extensively researched destination countries for IEs were the United States, China, and Japan. Despite the United States being the primary destination for international migrants since 1970 (IOM UN Migration 2022 ), Germany, the second top destination for migrants (IOM UN Migration, 2022 ), was notably underrepresented in the corpus, with only three articles. Similarly, countries like Saudi Arabia (0), Russia (0), the UAE (5), the United Kingdom (5), and France (2) which rank among the countries with the highest migrant populations globally (IOM UN Migration 2022 ; UN DESA, 2022 ), were also underrepresented in adjustment studies. Furthermore, according to the OECD ( 2017 ), Switzerland, Australia, and New Zealand have foreign-born individuals comprising over 20% of their total employment. Nevertheless, research articles on IE adjustment in these destination countries numbered only 2, 6, and 2, respectively. Although Asia is witnessing significant growth in migrants, the proportion of international migrants in the population remains relatively low (1.8%; IOM UN Migration, 2022 ). Historically regarded as a highly homogeneous society with limited global mobility (Andresen et al. 2020 ; Sugimoto, 2014 ), Japan was unexpectedly one of the most studied destination countries for IE adjustment, highlighting the relevance of research in exploring adjustment dynamics in such unique contexts.

Concerning nationality , data indicates that over 40 per cent of all international migrants globally in 2020 hailed from Asia, predominantly from countries like India, China, Bangladesh, Pakistan, the Philippines, and Afghanistan (IOM UN Migration 2022 ). Mexico and Russia are among the largest emigration countries worldwide (UN DESA, 2022 ). However, these regions were scarcely represented in the nationalities studied in the adjustment articles analysed. Despite numerous studies focusing on Chinese IEs (17), other countries were either underrepresented (e.g., the Philippines, 2) or not represented at all (e.g., India, Bangladesh, Pakistan, Afghanistan) in the sampled articles.

Moreover, it is noteworthy that three of the ten GLOBE cultural clusters (House et al. 2004 ) accounted for approximately four-fifths of the destination countries (Confucian Asia, Southern Asia, Anglo) and nationalities (Confucian Asia, Latin Europe, Anglo) studied, with studies based on samples from other cultural clusters such as the Middle East, Sub-Saharan Africa, Latin America, or Eastern Europe being the exception. Future research should systematically examine the combination of nationality and host country to understand the impact of cultural attractiveness on adjustment. While cultural distance measures highlight challenges and losses from cross-cultural interaction, cultural attractiveness focuses on the potential gains from such interaction, even in culturally disparate contexts (Li et al. 2017 ). IEs from countries who perceive the cultural practices of their host country as more valuable than their own may feel attracted to the host country’s cultural practices, which could positively impact their adjustment (Li et al. 2017 ).

To summarise, data accessibility rather than content criteria may have primarily influenced the selection of nationalities and destination countries/regions in previous research. While focusing on countries with high migrant populations and significant migrant inflows may help identify facilitating factors, expanding the scope to include countries with different conditions can help identify equally important barriers. For instance, in countries with few IEs, more personal initiative is required for adjustment, as there are fewer fellow IEs to provide support, and interactions with the native population may be less familiar (Andresen et al. 2020 ). Given that adjustment processes are influenced by social systems that create inequities across individuals and groups, future research should systematically consider the social conditions in different cultures and how these inequities affect IEs’ ability to achieve positive outcomes (Szabó 2022 ). This necessitates a more deliberate sampling approach for destination countries/regions and the nationality of IEs, including “exceptional” destinations and nationalities, and examining the combination of nationality and host country attractiveness in future studies.

Research Themes

Most studies on anticipatory adjustment (68%) focused on assigned expatriates, which is understandable given their affiliation with the same company. Assigned expatriates typically receive support from their organisation before their assignment, facilitating their anticipatory adjustment. However, it is worth noting that all other types of international employees also engage in planning before relocating to another country. Therefore, they will likely undergo some form of individual anticipatory adjustment that could impact their adjustment abroad. Despite this, only seven articles explored the anticipatory adjustment of SIEs, and four studies examined the migrant group. Since SIEs and other migrants typically do not receive financial support from their employers for relocation, studying their anticipatory adjustment could benefit both receiving companies and countries. Hence, there is a need for more research on the anticipatory adjustment of all types of international employees beyond assigned expatriates.

Antecedents of in-country adjustment for international employees were categorised into individual, organisational, and country-level factors. However, some antecedents, such as networks, host country nationals, host country language proficiency, or person-organisation fit, could be attributed to multiple levels depending on the researcher’s perspective. For example, social support networks may not solely be “work-related” at work, even within the workplace environment. Individuals often form close networks with co-workers from various departments based on non-work-related factors like shared interests. Therefore, the impact of these adjustment antecedents on international employee adjustment may extend beyond the organisational level. This highlights the need for research that examines antecedents affecting multiple levels (individual, organisation, country) and stages of international employee adjustment.

Only 14 articles investigated how demographics might affect international employee adjustment; one emphasised the age of international employees, and 13 examined gender (with four focusing on women and seven comparing men with women). It is important to note that no articles addressed adjustment related to transgender or other genders. The lack of understanding regarding how international employees’ demographics or the host country’s environment influence adjustment could lead to poor decision-making and negative consequences for businesses, such as decreased motivation among international employees and disruptions in interactions with customers, suppliers, and colleagues abroad (Olsen and Martins 2009 ). This highlights the need for more research on the effects of international employees’ demographics and the host country’s demographics on adjustment.

A phenomenon not previously explored in existing studies is remote adjustment, which refers to the adjustment process experienced by workers with indirect and often temporary intercultural contact with individuals in geographically separated cultures. This indirect contact occurs virtually through the Internet, where IEs build social networks and seek support. Research by Canhilal et al. ( 2022 ) indicates that these virtual networks and Internet-based support significantly influence IE adjustment.

The concept of remote adjustment may have been particularly accelerated by the COVID-19 pandemic, which brought about widespread changes in workplaces worldwide, especially in technologically advanced countries. With the shift to online work replacing traditional face-to-face interactions, there has been a surge in virtual assignments and international remote work arrangements. As a result, an increasing number of IEs are navigating adjustment challenges in virtual environments. Given the growing prevalence of virtual work arrangements, exploring the adjustment experiences of virtual IEs, particularly in the context of information technologies, becomes essential in the post-COVID era. Understanding how remote adjustment unfolds and identifying effective strategies for supporting virtual IEs will benefit employers and international employees.

Theoretical contributions

To demonstrate the significance of this hybrid review in enriching the adjustment literature, we refer to Mukherjee et al. ( 2022 ) systematisation for delineating the critical pathways to making theoretical contributions. Within theoretical contributions (as outlined by Whetten, 1989 ), our examination reveals that prevailing adjustment research predominantly addresses fundamental theoretical questions. These inquiries encompass defining the adjustment construct, identifying the contributing factors to pre- and post-relocation adjustment phases (the conceptual landscape), delineating the interconnections among these factors (nomological network), and elucidating the underlying causal mechanisms (Mukherjee et al. 2022 ). Whereby the model of Black et al. ( 1991 ) plays a vital role in conceptualising international adjustment as both multifaceted (work and general adjustments together with interactions with host-country nationals) and time-related (anticipatory and in-country adjustments).

A primary theoretical contribution emanating from our analysis is the recognition that while the model proposed by Black et al. ( 1991 ) remains prominent, adjustment research also incorporates other theoretical constructs (such as acculturation, integration, and adaptation, albeit infrequently assimilation), which are often used synonymously. Consequently, regarding construct definition, a pressing need exists for either consolidation or precise demarcation of these constructs. A comprehensive comparison of literature concerning expatriates and migrants, as detailed in the research agenda mentioned earlier, holds promise for theoretically refining the conceptual landscape, nomological network, and causal mechanisms (Mukherjee et al. 2022 ).

Secondly, by delineating knowledge clusters or primary themes in adjustment research (Mukherjee et al. 2022 ), our analysis underscores the underexplored boundaries of adjustment theory, particularly temporal and contextual factors. These boundary conditions encompass discerning variances in adjustment predicated on the identity of the individuals undergoing adjustment (types of IEs, locals), the geographical locations involved (countries of origin and destination), and the timing of adjustment (anticipatory and in-country phases). Studies on expatriation and migration have explored distinct boundary conditions, but the findings need to be synthesised to inform future research on adjustment. Statistical data has revealed that the sampled populations are not fully representative, highlighting some research gaps that must be addressed. It is essential to compare the findings in the context of the “where” boundary condition to understand the topic better.

Thirdly, our systematic analysis underscores elevated researcher interest despite the increasing productivity in IE adjustment research over time by tracing evolutionary nuances to understand the trajectory of adjustment research (Mukherjee et al. 2022 ). However, a notable trend emerges wherein most research has predominantly focused on assigned expatriates, with all other IE categories receiving considerably less scholarly attention. This discrepancy highlights the imperative for a more equitable distribution of research focus across diverse IE cohorts to foster a comprehensive understanding of adjustment phenomena.

The fourth theoretical contribution centres on identifying significant knowledge gaps within adjustment research. Addressing these gaps necessitates a heightened focus on several areas in future studies. Specifically, increased attention should be given to anticipatory adjustment, particularly for migrants but encompassing all types of IEs. Additionally, there should be a more concentrated examination of in-country adjustment, specifically emphasising migrants and various country-related factors such as the cultural appeal of the home versus the host country, economic considerations, and political dynamics. Expanding the scope to include a broader range of countries of origin and destination, demographic variables, remote adjustment, and locals’ attitudes towards IEs’ adjustment or even their adjustment to them is essential.

The theoretical insights gleaned from systematic mapping highlight the necessity for future studies to adopt research methodologies that facilitate the evolution of adjustment theory from an intermediate to a mature stage, advocating for a hybrid research approach.

These findings contribute significantly to international human resource management and business, emphasising the need for additional research involving SIEs and migrants. Given the global rise in their numbers, particularly in less-explored countries and adjustment factors, such research has the potential to deepen our comprehension of the adjustment phenomenon.

Limitations and implications for research

The study is subject to several limitations that warrant acknowledgement. A methodological constraint is inherent in bibliometric analysis, as it primarily involves categorising and organising extensive bibliometric data (Andersen 2019 ). Although the supplementary content analysis of abstracts in this hybrid review offers additional insights into the state of research, it remains somewhat superficial. Future researchers are encouraged to delve deeper into relevant publications to facilitate a more nuanced differentiation of their research questions based on the research fields identified in this review.

Secondly, a limitation arises from our focus on business and management. The selection of articles inherently reflects a somewhat homogeneous perspective on IE adjustment research, with the organisational context typically foregrounded in these studies. Publications in sociology, economics, or psychology could offer additional insights into IE adjustment, such as those related to the macroeconomic context (sociology, economics) or individual antecedents, such as memory and identity (psychology).

Thirdly, our exploration was confined to the WoS database, inevitably influencing the articles. While it is generally acknowledged that there is a significant overlap in content indexed between WoS and Scopus (Pranckutė 2021 ), Donthu et al. ( 2021 ) advocate for selecting “one appropriate database to mitigate the need for that consolidation” (p. 293) and the associated risks of errors, a search in Scopus or Dimensions databases could have broadened the scope, considering they encompass journals not included in WoS.

Fourthly, our study’s search was restricted to English-language articles. Including articles in various languages would introduce research from diverse nations, fostering the exchange of research insights.

Conclusions

Based on a comprehensive review spanning 32 years of theory and research on adjustment, it is evident that studies concerning IE adjustment have seen a remarkable increase over this period. To advance adjustment theory and research further, future research should be deliberate in two key aspects: research design, incorporating purposeful sampling across demographics, types of IE, nationality, and destination countries, and methodological alignment through a hybrid approach that integrates qualitative and quantitative methods; and research focus, involving systematic selection and analysis of host countries alongside their social, political, and technological contexts, comparison of IE adjustment with that of local populations, examination of pre-departure and in-country adjustment among various IE types, and tracking adjustment over time, including remote settings. This proposed research agenda is extensive and essential for progressing intermediate adjustment theory towards maturity.

Data availability

All data generated or analysed during this study are included in this published article [and its supplementary information files].

Andersen N (2019) Mapping the expatriate literature: A bibliometric review of the field from 1998 to 2017 and identification of current research fronts. Int J Human Resource Manag 32(22):4687–4724. https://doi.org/10.1080/09585192.2019.1661267

Article   Google Scholar  

Andresen M, Bergdolt F, Margenfeld J, Dickmann M (2014) Addressing international mobility confusion – Developing definitions and differentiations for self-initiated and assigned expatriates as well as migrants. Int J Human Resource Manag 25(16):2295–2318. https://doi.org/10.1080/09585192.2013.877058

Andresen, M, Dickmann, M, & Suutari, V (2018). Typologies of internationally mobile employees. In M Dickmann, V Suutari, & O Wurtz (Eds.), The management of global careers: Exploring the rise of international work (pp. 33-61). Springer International Publishing

Andresen M, Pattie MW, Hippler T (2020) What does it mean to be a ‘self-initiated’ expatriate in different contexts? A conceptual analysis and suggestions for future research. Int J Human Resource Manag 31(1):174–201. https://doi.org/10.1080/09585192.2019.1674359

Aycan Z (1997) Expatriate adjustment as a multifaceted phenomenon: Individual and organizational level predictors. Int J Human Resource Manag 8(4):434–456. https://doi.org/10.1080/095851997341540

Banai M (2022) Toward a general theory of expatriates’ cross-cultural adjustment. Int Stud Manag Organ 52(1):25–43. https://doi.org/10.1080/00208825.2021.2023444

Berry JW, Kim U, Boski P (1988) Psychological acculturation of immigrants. J Soc Issues 57(3):615–631. https://doi.org/10.1111/0022-4537.00231

Bhaskar-Shrinivas P, Harrison DA, Shaffer MA, Luk DM (2005) Input-based and time-based models of international adjustment: Meta-analytic evidence and theoretical extensions. Acad Manag J 48(2):257–281. https://doi.org/10.5465/amj.2005.16928400

Black JS, Mendenhall M, Oddou G (1991) Toward a comprehensive model of international adjustment: An integration of multiple theoretical perspective. Acad Manag Rev 16(2):291–317. https://doi.org/10.2307/258863

Black JS, Stephens GK (1989) The influence of the spouse on American expatriate adjustment and intent to stay in Pacific Rim overseas assignments. J Manag 15(4):529–544. https://doi.org/10.1177/014920638901500403

Brewster C, Dickmann M, Mäkelä L, Suutari V (2017) Managing global and migrant workers. In R Kramar & J Syed (Eds.), Human resource management: A global and critical perspective (pp. 359-378). Macmillan Education UK

Caligiuri P, Hyland M, Joshi A, Bross A (1998) Testing a theoretical model for examining the relationship between family adjustment and expatriates’ work adjustment. J Appl Psychol 83(4):598–614. https://doi.org/10.1037/0021-9010.83.4.598

Article   CAS   PubMed   Google Scholar  

Canhilal SK, Canboy B, Bakici T (2022) Social support for expatriates through virtual platforms: Exploring the role of online and offline participation. Int J Human Resource Manag 33(5):1005–1036. https://doi.org/10.1080/09585192.2020.1752283

Canhilal SK, Gabel Shemueli R, Dolan S (2015) Antecedent factors for success in international assignments: The case of expatriates in Peru. J Global Mobility 3(4):378–396. https://doi.org/10.1108/JGM-06-2014-0016

Cerdin J-L, Selmer J (2014) Who is a self-initiated expatriate? Towards conceptual clarity of a common notion. Int J Human Resource Manag 25(9):1281–1301. https://doi.org/10.1080/09585192.2013.863793

Chadegani AA, Salehi H, Yunus MM, Farhadi H, Fooladi M, Farhadi M, Ebrahim NA (2013) A comparison between two main academic literature collections: Web of Science and Scopus databases. Asian Soc Sci 9(5):18–26

Chen HF (2010) The relationships of organizational justice, social exchange, psychological contract, and expatriate adjustment: An example of Taiwanese business expatriates. Int J Human Resource Manag 21(7):1090–1107. https://doi.org/10.1080/09585191003783520

Chenyang L (2022) Meta-analysis of the impact of cross-cultural training on adjustment, cultural intelligence, and job performance. Career Dev Int 27(2):185–200. https://doi.org/10.1108/CDI-09-2020-0247

Collings DG, McDonnell A, Gunnigle P, Lavelle J (2010) Swimming against the tide: Outward staffing flows from multinational subsidiaries. Human Resource Manag 49(4):575–598. https://doi.org/10.1002/hrm.20374

Dang QT, Rammal HG, Michailova S (2022) Expatriates’ families: A systematic literature review and research agenda. Human Resource Manag Rev 32(4):100877. https://doi.org/10.1016/j.hrmr.2021.100877

Donthu N, Kumar S, Mukherjee D, Pandey N, Lim WM (2021) How to conduct a bibliometric analysis: An overview and guidelines. J Bus Res 133:285–296

Downe-Wamboldt B (1992) Content analysis: Method, applications, and issues. Health Care Women Int 13(3):313–321. https://doi.org/10.1080/07399339209516006

Duan C, Kotey B, Sandhu K (2021) Transnational immigrant entrepreneurship: Effects of home-country entrepreneurial ecosystem factors. Int J Entrepreneurial Behav Res 27(3):711–729. https://doi.org/10.1108/IJEBR-05-2020-0300

Edmondson AC, McManus SE (2007) Methodological fit in management field research. Acad Manag Rev 32(4):1246–1264

Emich KJ, Kumar S, Lu L, Norder K, Pandey N (2020) Mapping 50 years of small group research through small group research. Small Group Res 51(6):659–699

Hajro A, Caprar DV, Zikic J, Stahl GK (2021) Global migrants: Understanding the implications for international business and management. J World Bus 56(2):101192. https://doi.org/10.1016/j.jwb.2021.101192

Hajro A, Stahl GK, Clegg CC, Lazarova MB (2019) Acculturation, coping, and integration success of international skilled migrants: An integrative review and multilevel framework. Human Resource Manag J 29(3):328–352. https://doi.org/10.1111/1748-8583.12233

Harari MB, Reaves AC, Beane DA, Laginess AJ, Viswesvaran C (2018) Personality and expatriate adjustment: A meta‐analysis. J Occup Organ Psychol 91(3):486–517. https://doi.org/10.1111/joop.12215

Harrison DA, Shaffer MA, Bhaskar-Shrinivas P (2004) Going places: Roads more and less traveled in research on expatriate experiences. In M Buckley, J Halbesleben, & AR Wheeler (Eds.), Research in personnel and human resources management (Vol. 23, pp. 199-247). Emerald

Haslberger A, Brewster C (2008) The expatriate family: An international perspective. J Manag Psychol 23(3):324–346. https://doi.org/10.1108/02683940810861400

Hippler T, Brewster C, Haslberger A (2015) The elephant in the room: The role of time in expatriate adjustment. Int J Human Resource Manag 26(15):1920–1935. https://doi.org/10.1080/09585192.2015.1041762

Hippler T, Caligiuri PM, Johnson JE, Baytalskaya N (2014) The development and validation of a theory-based expatriate adjustment scale. Int J Human Resource Manag 25(14):1938–1959. https://doi.org/10.1080/09585192.2013.870286

House RJ, Hanges PJ, Javidan M, Dorfman PW, Gupta V (Eds.) (2004) Culture, leadership, and organizations: The GLOBE study of 62 societies . Sage publications

IOM UN Migration (2022) World migration report 2022 . Retrieved from https://worldmigrationreport.iom.int/wmr-2022-interactive/ [Last accessed 21 February 2023]

James KL, Randall NP, Haddaway NR (2016) A methodology for systematic mapping in environmental sciences. Environ Evid 5:1–13

Jyoti J, Kour S (2017) Cultural intelligence and job performance: An empirical investigation of moderating and mediating variables. Int J Cross Cult Manag 17(3):305–326. https://doi.org/10.1177/1470595817718001

Kang H, Shen J (2018) Antecedents and consequences of host-country nationals’ attitudes and behaviors toward expatriates: What we do and do not know. Human Resource Manag Rev 28(2):164–175. https://doi.org/10.1016/j.hrmr.2017.07.001

Lazarova M, Westman M, Shaffer MA (2010) Elucidating the positive side of the work-family interface on international assignments: A model of expatriate work and family performance. Acad Manag Rev 35(1):93–117. https://doi.org/10.5465/AMR.2010.45577883

Lee LY, Veasna S, Sukoco BM (2014) The antecedents of cultural effectiveness of expatriation: Moderating effects of psychological contracts. Asia Pacific J Human Resources 52(2):215–233. https://doi.org/10.1111/j.1744-7941.2013.00055.x

Lett L, Smith M (2009) East meets West: The case of Polish expatriates in the UK. Int J Human Resource Manag 20(9):1864–1878. https://doi.org/10.1080/09585190903142332

Li C, Brodbeck FC, Shenkar O, Ponzi LJ, Fisch JH (2017) Embracing the foreign: Cultural attractiveness and international strategy. Strat Manag J 38(4):950–971

Li K, Rollins J, Yan E (2018) Web of Science use in published research and review papers 1997–2017: A selective, dynamic, cross-domain, content-based analysis. Scientometrics 115(1):1–20. https://doi.org/10.1007/s11192-017-2622-5

Article   PubMed   Google Scholar  

Li M, Mobley WH, Kelly A (2013) When do global leaders learn best to develop cultural intelligence? An investigation of the moderating role of experiential learning style. Acad Manag Learn Educ 12(1):32–50

McNulty Y, Brewster C (2017) Theorizing the meaning(s) of ‘expatriate’: Establishing boundary conditions for business expatriates. Int J Human Resource Manag 28(1):27–61. https://doi.org/10.1080/09585192.2016.1243567

McNulty Y, Selmer J (Eds.) (2017) Research handbook of expatriates . Edward Elgar

Morris MW, Chiu CY, Liu Z (2015) Polycultural psychology. Ann Rev Psychol 66:631–659

Morris MW, Savani K, Mor S, Cho J (2014) When in Rome: Intercultural learning and implications for training. Res Organ Behav 34:189–215. https://doi.org/10.1016/j.riob.2014.09.003

Mukherjee D, Lim WM, Kumar S, Donthu N (2022) Guidelines for advancing theory and practice through bibliometric research. J Bus Res 148:101–115

Nam KA, Cho Y, Lee M (2014) West meets East? Identifying the gap in current cross-cultural training research. Human Resource Dev Rev 13(1):36–57. https://doi.org/10.1177/1534484313500143

OECD (2017) International migration outlook 2017. Organisation for Economic Co-operation and Development

Olsen JE, Martins LL(2009) The effects of expatriate demographic characteristics on adjustment: A social identity approach Human Resource Management: Published in Cooperation with the School of Business Administration, The University of Michigan and in alliance with the Society of Human Resources Management 48(2):311–328. https://doi.org/10.1002/hrm.20281

Paul J, Criado AR (2020) The art of writing literature review: What do we know and what do we need to know? Int Bus Rev 29(4):1–7. https://doi.org/10.1016/j.ibusrev.2020.101717

Petersen K, Feldt R, Mujtaba S, Mattsson M(2008) Systematic mapping studies in software engineering In Proceedings of 12th International Conference on Evaluation and Assessment in Software Engineering (EASE) 12:1–10

Pranckutė R (2021) Web of Science (WoS) and Scopus: The titans of bibliographic information in today’s academic world. Publications 9(12):1–59

Google Scholar  

Ritchie W, Brantley BI, Pattie M, Swanson B, Logsdon J (2015) Expatriate cultural antecedents and outcomes: An assessment tool for nonprofit managers. Nonprofit Manag Leadership 25(3):325–342. https://doi.org/10.1002/nml.21128

Sam DL, Ward C (2021) Three generations of psychological acculturation research: Theoretical advancements and methodological challenges. In M Bender & BG Adams (Eds.), Methods and assessment in culture and psychology (pp. 17-40). Cambridge University Press

Saunders M, Lewis P, Thornhill A (2009) Research methods for business students . Pearson

Schudey AP, Jensen O, Sachs S (2012) 20 Jahre Rückanpassungsforschung–eine Metaanalyse. German J Human Resource Manag 26(1):48–73. https://doi.org/10.1177/239700221202600108

Selmer J (2007) Which is easier, adjusting to a similar or to a dissimilar culture? American business expatriates in Canada and Germany. Int J Cross Cult Manag 7(2):185–201

Shaffer MA, Harrison DA, Gilley KM (1999) Dimensions, determinants, and differences in the expatriate adjustment process. J Int Bus Stud 30:557–581. https://doi.org/10.1057/palgrave.jibs.8490083

Shen Y, Hall DT (2009) When expatriates explore other options: Retaining talent through greater job embeddedness and repatriation adjustment. Human Resource Manag 48(5):793–816. https://doi.org/10.1002/hrm.20314

Soaita AM, Serin B, Preece J (2020) A methodological quest for systematic literature mapping. Int J Housing Policy 20(3):320–343. https://doi.org/10.1080/19491247.2019.1649040

Stemler S (2000) An overview of content analysis. Pract Assessment Res Evaluat 7(1):17

Sugimoto, Y (2014). An introduction to Japanese society (4th ed.). Cambridge University Press

Szabó Á (2022) Addressing the causes of the causes: Why we need to integrate social determinants into acculturation theory. Int J Intercultural Relat 91:318–322

Takeuchi R (2010) A critical review of expatriate adjustment research through a multiple stakeholder view: Progress, emerging trends, and prospects. J Manag 36(4):1040–1064. https://doi.org/10.1177/0149206309349308

Takeuchi R, Chen J (2013) The impact of international experiences for expatriates’ cross-cultural adjustment: A theoretical review and a critique. Organ Psychol Rev 3(3):248–290. https://doi.org/10.1177/2041386613492167

UN (2022) World population prospect . Retrieved from https://population.un.org/wpp/DefinitionOfRegions/ [Last accessed 21 February 2023]

UN DESA (2022) The sustainable development goals report 2022 - July 2022 . UN DESA. https://unstats.un.org/sdgs/report/2022/

Van Bakel M (2019) It takes two to tango: A review of the empirical research on expatriate-local interactions. Int J Human Resource Manag 30(21):2993–3025. https://doi.org/10.1080/09585192.2018.1449763

Varela OE, Gatlin-Watts R (2014) The development of the global manager: An empirical study on the role of academic international sojourns. Acad Manag Learn Educ 13(2):187–207

Vlase I, Lähdesmäki T (2023) A bibliometric analysis of cultural heritage research in the humanities: The Web of Science as a tool of knowledge management. Human Soc Sci Commun 10(1):1–14. https://doi.org/10.1057/s41599-023-01582-5

Waxin MF, Panaccio A (2005) Cross‐cultural training to facilitate expatriate adjustment: It works! Personnel Rev 34(1):51–67. https://doi.org/10.1108/00483480510571879

Whetten DA (1989) What constitutes a theoretical contribution? Acad Manag Rev 14(4):490–495

Yijälä A, Jasinskaja-Lahti I, Likki T, Stein D (2012) Pre-migration adaptation of highly skilled self-initiated foreign employees: The case of an EU agency. Int J Human Resource Manag 23(4):759–778. https://doi.org/10.1080/09585192.2011.561252

Zhang J, Yu Q, Zheng F, Long C, Lu Z, Duan Z (2016) Comparing keywords plus of WOS and author keywords: A case study of patient adherence research. J Assoc Inf Sci Technol 67(4):967–972. https://doi.org/10.1002/asi.23437

Zhang Y, Li Y, Frost M, Rong S, Jiang R, Cheng ET (2021) The impact of organizational position level and cultural flow direction on the relationship between cultural intelligence and expatriate cross-border adaptation. Cross Cult Strat Manag 28(2):332–367. https://doi.org/10.1108/CCSM-01-2020-0012

Zikic J, Bonache J, Cerdin JL (2010) Crossing national boundaries: A typology of qualified immigrants’ career orientations. J Organ Behav 31(5):667–686. https://doi.org/10.1002/job.705

Download references

Author information

Authors and affiliations.

Kaunas University of Technology, School of Economics and Business, Kaunas, Lithuania

Irma Baneviciene

University of Bamberg, Department of Social Sciences, Economics, and Business Administration, Bamberg, Germany

Maike Andresen

Vilmante Kumpikaite-Valiuniene

You can also search for this author in PubMed   Google Scholar

Contributions

All authors contributed equally to this work.

Corresponding author

Correspondence to Irma Baneviciene .

Ethics declarations

Competing interests.

The authors declare no competing interests.

Ethical approval

Ethical approval was not required as the study did not involve human participants.

Informed consent

Informed consent was not required as the study did not involve human participants.

Additional information

Publisher’s note Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Supplementary information

Supplemental mterial, rights and permissions.

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ .

Reprints and permissions

About this article

Cite this article.

Baneviciene, I., Andresen, M. & Kumpikaite-Valiuniene, V. Assessing the status quo of international employees’ adjustment research, 1990–2022: a review and future research agenda. Humanit Soc Sci Commun 11 , 633 (2024). https://doi.org/10.1057/s41599-024-03098-y

Download citation

Received : 06 November 2023

Accepted : 23 April 2024

Published : 17 May 2024

DOI : https://doi.org/10.1057/s41599-024-03098-y

Share this article

Anyone you share the following link with will be able to read this content:

Sorry, a shareable link is not currently available for this article.

Provided by the Springer Nature SharedIt content-sharing initiative

Quick links

  • Explore articles by subject
  • Guide to authors
  • Editorial policies

literature review topics in human resource management

IMAGES

  1. Literature Review for Human Resource Management System

    literature review topics in human resource management

  2. (PDF) Human Resource Management Journal: A look to the past, present

    literature review topics in human resource management

  3. Human Resources Management Research Paper Topics

    literature review topics in human resource management

  4. Literature Review

    literature review topics in human resource management

  5. Literature review on human resource planning

    literature review topics in human resource management

  6. Human Resource Management Full Notes

    literature review topics in human resource management

VIDEO

  1. Human Resource Management and Administration Introduction Lecture (2023/05/11)

  2. Chapter 3 Human Resources Planning Process Part 2|មេរៀនទី៣ ដំណើរការ​រៀបចំផែនការធនធានមនុស្ស ​ផ្នែកទី២

  3. Literature search and review to identify research gaps

  4. Top 10 Human Resource Thesis research topics research paper

  5. Recruitment & Selection (Part 1) (HRM Lecture)

  6. Lec 01 Introduction of Human Resource Management (Chapter 1) BBA,MBA

COMMENTS

  1. A Systematic Review of Human Resource Management Systems and Their

    Strategic human resource management (SHRM) research increasingly focuses on the performance effects of human resource (HR) systems rather than individual HR practices (Combs, Liu, Hall, & Ketchen, 2006).Researchers tend to agree that the focus should be on systems because employees are simultaneously exposed to an interrelated set of HR practices rather than single practices one at a time, and ...

  2. Innovation and human resource management: a systematic literature review

    1. Introduction. Potgieter and Mokomane (2020) argue that the strategic emphasis of a human resource management (HRM) department can be summarized as the effective management of teams and individuals in an organization aimed at competitive advantage and performance success. Thus, there is growing interest in investigating the role of HRM departments and practices in supporting companies ...

  3. Human resources management 4.0: Literature review and trends

    To achieve this objective, this study performs a systematic literature review and content analysis of 93 papers from 75 journals. The main results of the research show that digital trends resulting from Industry 4.0 affect the field of HRM in 13 different themes, promoting trends and challenges for HRM, the workforce, and organizations.

  4. AI in Human Resource Management: Literature Review and Research

    Here, we review the literature on the application of AI to HRM in enterprise management and its related effects. "Data Source" section introduces the process of conducting the literature review, and "Methods" section describes the bibliometric analysis.Data Sources. Data were retrieved on April 14, 2022, from the Web of Science (WOS) (with SCI-E) database created by Clarivate Analytics (United ...

  5. Human resources analytics: A systematization of research topics and

    We conduct a systematic review of literature and identify 106 topics and 6 sub-categories related to HR analytics ... The first book on 'How to Measure Human Resources Management' was published in 1984 by the pioneer Jac Fitz-enz, (Fitz-enz, 1984). With the time, the meaning and the process of HR analytics has significantly evolved due to ...

  6. Emerging Trends in People-Centric Human Resource Management: A

    Jayashree Mahesh ([email protected]) is an Associate Professor in the Department of Management, Birla Institute of Technology and Science (BITS Pilani).She is Myers-Briggs Type Indicator Certified Practitioner and Accredited Belbin Trainer. Her research interest is in the areas of Mindfulness and Employee Well-being, Innovative Pedagogies for Student Engagement, Leadership and Futuristic ...

  7. Human Resource Management Review

    The Human Resource Management Review (HRMR) is a quarterly academic journal devoted to the publication of scholarly conceptual/theoretical articles pertaining to human resource management and allied fields (e.g. industrial/organizational psychology, human …. View full aims & scope. $4610. Article publishing charge.

  8. Core functions of Sustainable Human Resource Management. A hybrid

    Core functions of Sustainable Human Resource Management. A hybrid literature review with the use of H-Classics methodology. Katarzyna Piwowar-Sulej, ... It can be seen that as HR flow does not represent a topic of interest for many authors of the H-Core articles, only a few lines of research refer to HR flow. ... Green human resource management ...

  9. The employee perspective on HR practices: A systematic literature

    Second, the systematic literature review conducted for the empirical studies, is based on articles published in 11 refereed international journals in dedicated HRM, applied psychology and management journals. ... A Systematic Review of Human Resource Management Systems and Their Measurement. Journal of Management, 45(6), 1-40. https://doi.org ...

  10. Research trends in human resource management. A text-mining-based

    The purpose of the study was to detect trends in human resource management (HRM) research presented in journals during the 2000-2020 timeframe. ... The main problem when choosing research topics is deciding whether to continue topics fixed in the literature or take the risk of exploring new, hitherto unknown themes. ... Identification of ...

  11. A Review Of The Literature On Human Resource Development: Leveraging Hr

    Part of the Business Administration, Management, and Operations Commons Recommended Citation Thoman, Daniel and Lloyd, Robert (2018) "A Review Of The Literature On Human Resource Development: Leveraging Hr As Strategic Partner In The High Performance Organization," Journal of International & Interdisciplinary Business Research: Vol. 5, Article 9.

  12. (PDF) Human Resource (HR) Practices

    Human Resource (HR) practices are an integral part of an organization's management strategy that focuses on. effectively managing the organization's workforce. HR practices enco mpass a wide range ...

  13. Innovation and human resource management: a systematic literature review

    When examining the research methods of the publications, we found that the majority, namely 20 studies (55.6%), were quantitative by nature, followed by 11 (30.6%) qualitative studies. Among them, four (11%) were conceptual, and one (2.8%) was a mixed-method study that applied qualitative and quantitative methods.

  14. (PDF) Review of Human Resource Management (HRM) Literature: A

    This study reviews Human Resource Management (HRM) literature by adopting a hybrid research approach - bibliometric. analaysis and content analysis - on 1802 documents from the Scopus database ...

  15. MPA 602 Human Resources Management: Literature Review

    Introduction: Explain why this research topic is important.Outline what direction your review will take: i.e., what aspects of the topic you're focusing on. Body: Present your summaries and evaluations of the sources in a clear, logical, and coherent manner.Some options for organizing your review include chronological, order of importance, two sides of a controversial problem, differences in ...

  16. What is a Literature Review?

    The Purpose of a Literature Review is to gain an understanding of the existing research relevant to a particular topic or area of study and to present that knowledge in the form of a written report. Learning important concepts, and research methods will bring insights into the topic chosen. Ultimately, achieving a better understanding of a particular discipline and/or topic based upon the ...

  17. Research Topics and Collaboration in Human Resource Development Review

    Human Resource Development Review (HRDR) began in March 2002, starting with Holton's (2002) editorial, The Mandate for Theory in Human Resource Development.As of this writing, HRDR is one of leading journals in organizational research fields.HRDR became a Social Science Citation Index (SSCI) journal in July 2014, thanks to the tremendous efforts of the former editor, Jamie Callahan, and the ...

  18. Systematic Literature Review on Human Resource Management Effect on

    this research study examines the possible literature review of the impact of human resource. management on organizational performance. Control is made feasible by m anagement, which allows. for ...

  19. Assessing the status quo of international employees ...

    This study aims to comprehensively review scientific journal articles related to the adjustment of international employees within the management and business domain from 1990 to 2022. The study ...

  20. Sustainable human resource management practices and corporate

    This study extends the existing literature on HRM and SSCM practice adoption in three aspects. First, the justification of H1 supplemented the extant literature on sustainability-related human resource management, for instance, the association between CSR and green human resource management (Úbeda-García et al. Citation 2021). It can be seen ...

  21. AI-Based Human Resource Management Tools and Techniques; A Systematic

    AI-driven HRM: literature review study details and key insights Study Study Purpose Methodology Key Findings/Results Discussion and Answer to RQ [12] Explore AI adoption determinants and impact on HR system effectiveness PLS-SEM with task- organization-environment and task-technology fit models Organizational preparedness, perceived benefits ...

  22. Mapping the Landscape of the Literature on Environmental, Social

    Increased interest in sustainability and related issues has led to the development of disclosed corporate information on environmental, social, and governance (ESG) issues. Additionally, questions have arisen about whether these disclosures affect the firm's value. Therefore, we conducted a bibliometric analysis coupled with a systematic literature review (SLR) of the current literature in ...

  23. Research trends in human resource management. A text-mining-based

    well as topics which are of particular interest and importance. Keywords Human resource management, Trends, Text-mining Paper type Literature review 1. Introduction The human resource (HR) function has evolved over the years from serving a purely administrative role into one that is more strategic in character. Today it is believed that the

  24. Performance Management: A Scoping Review of the Literature and an

    As the goal of our analysis was to explore PM topics and themes in the literature and to map out implications for scholarship and practice, ... Human Resource Management Review, 19, 154-166. Crossref. ISI. Google Scholar. Tkachenko O., Hahn H., Peterson S. L. (2017). Research-practice gap in applied fields: An integrative literature review.

  25. Sustainability

    Sustainability of biological, social, and economic systems is crucial for protecting our common future and preserving the balance between nature and humans. Environmental concerns should be adopted by all units of society and sustainability awareness should be adapted to all processes through optimum technologies both in daily life and in business management. The basic objective of this ...

  26. Healthcare

    Advances in anti-retroviral therapy (ART) have decreased mortality rates and subsequently led to a rise in the number of HIV-positive people living longer. The housing experiences of this new population of interest—older adults (50 years and older) living with HIV—are under-researched. Understanding the housing experiences and unmet needs of older people with HIV can better provide ...

  27. Diseases

    Epidermolysis Bullosa (EB) is an extremely rare and disabling inherited genetic skin disease with a predisposition to develop bullous lesions on the skin and inner mucous membranes, occurring after mild friction or trauma, or even spontaneously. Within the spectrum of EB forms, dystrophic EB (DEB) represents the most intriguing and challenging in terms of clinical management, especially with ...