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A Bibliometric Analysis of Artificial Intelligence and the Workforce: an Assessment of Trends, Patterns, and Future Directions

Yıl 2025, Sayı: 88, 77 - 126, 25.07.2025
https://doi.org/10.26650/jspc.2023.85.1589508

Öz

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.

Kaynakça

  • 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
  • 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
  • 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
  • ÇaLışır, Y. C. (2024). Uzun dönemLi bakım sigortasının Literatürdeki izLeri: BibLiYometrik bir inceLeme. Journal of Social Policy Conferences, 86, 42-54. google scholar
  • Davenport, T. H., & KirbY, J. (2016). Only humans need apply: Winners and losers in the age of smart machines. HarperBusiness. google scholar
  • DeLipetrev, B., Tsinaraki, C., & Kostic, U. (2020). AI Watch historical evolution of artificial intelligence. European Commission, Joint Research Centre. google scholar
  • 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
  • Drucker, P. F. (1999). Management challenges for the 21st century. HarperCoLLins. google scholar
  • Dusyant, D. (2024). The impact of artificiaL intelligence on workforce dYnamics: Opportunities and challenges. Scholars Digest, 1(1). google scholar
  • 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
  • FreY, C., & Osborne, M. (2016). The future of empLoyment: How susceptible are jobs to computerisation? Technological Forecasting and Social Change. google scholar
  • 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
  • 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
  • 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
  • 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
  • MasLow, A. H. (1943). A theorY of human motivation. Psychological Review, 50, 370-396. google scholar
  • 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
  • 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
  • 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
  • Pritchard, A. (1969). StatisticaL bibLiography or bibLiometrics? Journal of Documentation, 25(4), 348-349. google scholar
  • 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
  • RiedL, M. O. (2019). Human-centered artificiaL inteLLigence and machine Learning. Human Behavior and Emerging Technologies. google scholar
  • RusseLL, S., & Norvig, P. (2022). Artificial intelligence: A modern approach (4th ed.). Pearson Education Limited. google scholar
  • 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
  • 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
  • Spector, P. E. (1997). Job satisfaction: Application, assessment, causes, and consequences. Sage Academic Books. google scholar
  • 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
  • Web of Science. (2024). https://www.webofscience.com/wos/woscc/summarY/a721ae20-c3dc-47bf-881f-d3e8b37c9f06-011b23829a/ (Erişim tarihi: 30.10.2024). google scholar
Yıl 2025, Sayı: 88, 77 - 126, 25.07.2025
https://doi.org/10.26650/jspc.2023.85.1589508

Öz

Kaynakça

  • 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
  • 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
  • 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
  • ÇaLışır, Y. C. (2024). Uzun dönemLi bakım sigortasının Literatürdeki izLeri: BibLiYometrik bir inceLeme. Journal of Social Policy Conferences, 86, 42-54. google scholar
  • Davenport, T. H., & KirbY, J. (2016). Only humans need apply: Winners and losers in the age of smart machines. HarperBusiness. google scholar
  • DeLipetrev, B., Tsinaraki, C., & Kostic, U. (2020). AI Watch historical evolution of artificial intelligence. European Commission, Joint Research Centre. google scholar
  • 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
  • Drucker, P. F. (1999). Management challenges for the 21st century. HarperCoLLins. google scholar
  • Dusyant, D. (2024). The impact of artificiaL intelligence on workforce dYnamics: Opportunities and challenges. Scholars Digest, 1(1). google scholar
  • 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
  • FreY, C., & Osborne, M. (2016). The future of empLoyment: How susceptible are jobs to computerisation? Technological Forecasting and Social Change. google scholar
  • 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
  • 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
  • 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
  • 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
  • MasLow, A. H. (1943). A theorY of human motivation. Psychological Review, 50, 370-396. google scholar
  • 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
  • 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
  • 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
  • Pritchard, A. (1969). StatisticaL bibLiography or bibLiometrics? Journal of Documentation, 25(4), 348-349. google scholar
  • 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
  • RiedL, M. O. (2019). Human-centered artificiaL inteLLigence and machine Learning. Human Behavior and Emerging Technologies. google scholar
  • RusseLL, S., & Norvig, P. (2022). Artificial intelligence: A modern approach (4th ed.). Pearson Education Limited. google scholar
  • 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
  • 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
  • Spector, P. E. (1997). Job satisfaction: Application, assessment, causes, and consequences. Sage Academic Books. google scholar
  • 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
  • Web of Science. (2024). https://www.webofscience.com/wos/woscc/summarY/a721ae20-c3dc-47bf-881f-d3e8b37c9f06-011b23829a/ (Erişim tarihi: 30.10.2024). google scholar
Toplam 28 adet kaynakça vardır.

Ayrıntılar

Birincil Dil İngilizce
Konular Çalışma Ekonomisi
Bölüm Araştırma Makalesi
Yazarlar

Armağan Türk 0000-0002-3573-0922

Emrulah Tekin 0000-0001-9350-5769

Yayımlanma Tarihi 25 Temmuz 2025
Gönderilme Tarihi 21 Kasım 2024
Kabul Tarihi 21 Nisan 2025
Yayımlandığı Sayı Yıl 2025 Sayı: 88

Kaynak Göster

APA Türk, A., & Tekin, E. (2025). A Bibliometric Analysis of Artificial Intelligence and the Workforce: an Assessment of Trends, Patterns, and Future Directions. Sosyal Siyaset Konferansları Dergisi(88), 77-126. https://doi.org/10.26650/jspc.2023.85.1589508
AMA Türk A, Tekin E. A Bibliometric Analysis of Artificial Intelligence and the Workforce: an Assessment of Trends, Patterns, and Future Directions. Sosyal Siyaset Konferansları Dergisi. Temmuz 2025;(88):77-126. doi:10.26650/jspc.2023.85.1589508
Chicago Türk, Armağan, ve Emrulah Tekin. “A Bibliometric Analysis of Artificial Intelligence and the Workforce: An Assessment of Trends, Patterns, and Future Directions”. Sosyal Siyaset Konferansları Dergisi, sy. 88 (Temmuz 2025): 77-126. https://doi.org/10.26650/jspc.2023.85.1589508.
EndNote Türk A, Tekin E (01 Temmuz 2025) A Bibliometric Analysis of Artificial Intelligence and the Workforce: an Assessment of Trends, Patterns, and Future Directions. Sosyal Siyaset Konferansları Dergisi 88 77–126.
IEEE A. Türk ve E. Tekin, “A Bibliometric Analysis of Artificial Intelligence and the Workforce: an Assessment of Trends, Patterns, and Future Directions”, Sosyal Siyaset Konferansları Dergisi, sy. 88, ss. 77–126, Temmuz 2025, doi: 10.26650/jspc.2023.85.1589508.
ISNAD Türk, Armağan - Tekin, Emrulah. “A Bibliometric Analysis of Artificial Intelligence and the Workforce: An Assessment of Trends, Patterns, and Future Directions”. Sosyal Siyaset Konferansları Dergisi 88 (Temmuz 2025), 77-126. https://doi.org/10.26650/jspc.2023.85.1589508.
JAMA Türk A, Tekin E. A Bibliometric Analysis of Artificial Intelligence and the Workforce: an Assessment of Trends, Patterns, and Future Directions. Sosyal Siyaset Konferansları Dergisi. 2025;:77–126.
MLA Türk, Armağan ve Emrulah Tekin. “A Bibliometric Analysis of Artificial Intelligence and the Workforce: An Assessment of Trends, Patterns, and Future Directions”. Sosyal Siyaset Konferansları Dergisi, sy. 88, 2025, ss. 77-126, doi:10.26650/jspc.2023.85.1589508.
Vancouver Türk A, Tekin E. A Bibliometric Analysis of Artificial Intelligence and the Workforce: an Assessment of Trends, Patterns, and Future Directions. Sosyal Siyaset Konferansları Dergisi. 2025(88):77-126.