TY  - JOUR
T1  - A Bibliometric Analysis of Artificial Intelligence and the Workforce: an Assessment of Trends, Patterns, and Future Directions
AU  - Tekin, Emrulah
AU  - Türk, Armağan
PY  - 2025
DA  - July
Y2  - 2025
DO  - 10.26650/jspc.2023.85.1589508
JF  - Sosyal Siyaset Konferansları Dergisi
PB  - İstanbul Üniversitesi
WT  - DergiPark
SN  - 1304-0103
SP  - 77
EP  - 126
IS  - 88
LA  - en
AB  - When the literature on artificial intelligence and the workforce is examined, it is seen that the impact of artificial intelligence on the workforce is addressed in a historical perspective and examined in different frameworks.Our study is about a bibliometric analysis using the keywords “artificial intelligence” and “workforce” in the Web of Science (WOS) database in order to examine academic studies in this field. Thus, it aims to understand the relationship, trends, patterns, and future expectations between artificial intelligence and the workforce. In this context, 130 studies published between 2003 and 2024 in the WOS database were examined. Accordingly, it was seen that the relationship between artificial intelligence and the workforce has been investigated with increasing interest in recent years; the interaction between artificial intelligence and the workforce is a multifaceted subject and requires perspectives from different disciplines; the United States of America and the People's Republic of China are leading artificial intelligence research and applications; concepts such as “technology”, “automation”, “employment” and “work” are prominent. Therefore, it has emerged that the potential effects of artificial intelligence on the workforce, especially concerns about automation and job loss, have been intensively addressed by researchers.Furthermore, relevant studies reveal that the relationship in question is complex and multifaceted and contains both opportunities and challenges. In this context, it has been determined that artificial intelligence affects labour markets, an important issue that requires further research and policy discussion in the future.
KW  - Artificial Intelligence
KW  - Workforce
KW  - Bibliometric analysis
KW  - WOSviewer
CR  - Autor, D. H., Levy, F., & Murnane, R. J. (2003). The skill content of recent technoLogical change: An empiricaL exploration. Quarterly Journal of Economics, 118 (4), 1279-1333. google scholar
CR  - Brynjolfsson, E., & McAfee, A. (2014). The second machine age: Work, progress, and prosperity in a time of brilliant technologies. W. W. Norton & Company. google scholar
CR  - CherrY, M. A. (2016). Beyond miscLassification: The digitaL transformation of work. Comparative Labor Law & Policy Journal (Forthcoming), Saint Louis U. Legal Studies Research Paper No. 2016-2. google scholar
CR  - ÇaLışır, Y. C. (2024). Uzun dönemLi bakım sigortasının Literatürdeki izLeri: BibLiYometrik bir inceLeme. Journal of Social Policy Conferences, 86, 42-54. google scholar
CR  - Davenport, T. H., & KirbY, J. (2016). Only humans need apply: Winners and losers in the age of smart machines. HarperBusiness. google scholar
CR  - DeLipetrev, B., Tsinaraki, C., & Kostic, U. (2020). AI Watch historical evolution of artificial intelligence. European Commission, Joint Research Centre. google scholar
CR  - Donthu, N., Kumar, S., Mukherjee, D., PandeY, N., & Lim, W. M. (2021). How to conduct a bibLiometric anaLYsis: An overview and guideLines. Journal of Business Research, 133, 285-296. https://doi.org/10.1016/j.jbusres.2021.04.070 google scholar
CR  - Drucker, P. F. (1999). Management challenges for the 21st century. HarperCoLLins. google scholar
CR  - Dusyant, D. (2024). The impact of artificiaL intelligence on workforce dYnamics: Opportunities and challenges. Scholars Digest, 1(1). google scholar
CR  - Ensruld, K. (2024, January 17). Navigating the new normal: Adapting in the age of AI and hybrid work models. Chief Learning Offi-cer. https://www.chieflearningofhcer.com/2024/01/17/navigating-the-new-normaL-adapting-in-the-age-of-ai-and-hYbrid-work-models/ (Erişim tarihi: 16.10.2024). google scholar
CR  - FreY, C., & Osborne, M. (2016). The future of empLoyment: How susceptible are jobs to computerisation? Technological Forecasting and Social Change. google scholar
CR  - 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. google scholar
CR  - Haustein, S., & Lariviere, V. (2015). The use of bibliometrics for assessing research: PossibiLities, Limitations and adverse effects. İn I. M. WeLpe, J. WoLLersheim, S. RingeLhan, & M. OsterLoh (Eds.), Incentives and performance: Governance of research organizations (pp. 121-139). Springer InternationaL PubLishing. google scholar
CR  - Judijanto, L., Asfahani, A., & Vandika, Y. (2022). 21st century economic transformation: The impact of artificiaL inteLLigence on markets and empLoYment. Journal of Artificial Intelligence and Development, 1(1). google scholar
CR  - Liao, H., Tang, M., Luo, L., Li, C., ChicLana, F., & Zeng, X. J. (2018). A bibLiometric anaLYsis and visuaLization of medicaL big data research. Sustainability, 10(1), 166. google scholar
CR  - MasLow, A. H. (1943). A theorY of human motivation. Psychological Review, 50, 370-396. google scholar
CR  - NicuLescu, V. (2020). On the impact of high performance computing in big data anaLYtics for medicine. Applied Medical Informatics, 42(1), 9-18. google scholar
CR  - Pereira, V., HadjieLias, E., Christofi, M., & Vrontis, D. (2023). A systematic Literature review on the impact of artificiaL intelligence on workplace outeomes: A multi-process perspeetive. Human Resource Management Review, 33(i). google scholar
CR  - Pettinger, T. (2022, October 17). The Luddite fallacy. Economics Help. https://www.economicshelp.org/bLog/6717/economics/the-Luddite-fallacy/ (Erişim tarihi: 17.10.2024). google scholar
CR  - Pritchard, A. (1969). StatisticaL bibLiography or bibLiometrics? Journal of Documentation, 25(4), 348-349. google scholar
CR  - PwC. (2024). PwCs2024 Al jobs barometer. https://www.pwc.com/gx/en/issues/artificiaL-intelligence/job-barometer/report.pdf (Erişim tarihi: 01.11.2024). google scholar
CR  - RiedL, M. O. (2019). Human-centered artificiaL inteLLigence and machine Learning. Human Behavior and Emerging Technologies. google scholar
CR  - RusseLL, S., & Norvig, P. (2022). Artificial intelligence: A modern approach (4th ed.). Pearson Education Limited. google scholar
CR  - Scerbo, M. W. (1996). Theoretical perspectives on adaptive automation. In R. Parasuraman & M. Mouloua (Eds.), Automation and human performance: Theory and Applications (pp. 201-223). CRC Press. google scholar
CR  - SodaLes. (2024). The role of Al in creating a more inclusive and supportive work environment. https://www.sodalessolutions.com/the-roLe-of-ai-in-creating-a-more-incLusive-and-supportive-work-environment/ (Erişim tarihi: 17.10.2024). google scholar
CR  - Spector, P. E. (1997). Job satisfaction: Application, assessment, causes, and consequences. Sage Academic Books. google scholar
CR  - Wang, Q., Su, M., & Li, R. (2020). Is China the world’s blockchain leader? Evidence, evolution and outlook of China’s blockchain research. Journal of Cleaner Production, 264, 121742. google scholar
CR  - Web of Science. (2024). https://www.webofscience.com/wos/woscc/summarY/a721ae20-c3dc-47bf-881f-d3e8b37c9f06-011b23829a/ (Erişim tarihi: 30.10.2024). google scholar
UR  - https://doi.org/10.26650/jspc.2023.85.1589508
L1  - https://dergipark.org.tr/tr/download/article-file/4385566
ER  -