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INTERNATIONAL JOURNAL OF ADVANCED RESEARCH IN COMMERCE, MANAGEMENT & SOCIAL SCIENCE (IJARCMSS) [ Vol. 9 | No. 2 (I) | April - June, 2026 ]

A Bibliometric Review of Artificial Intelligence Technologies in IT Sector: An Overview of Research Trends

Manisha & Karamvir Sheokand

Background: The rapid development of artificial intelligence (AI) has had profound implications throughout the field of information technology, resulting in various applications and research directions. A deep understanding of the existing literature is vital to figure out the major themes and direct future research in this dynamic area.

Objective: The purpose of this article is to systematically review and summarize the academic literature on artificial intelligence and information technology, and to reveal the over-arching research themes and potential directions of future research.

Method: We retrieved data from the Scopus database. Bibliometric tools, including Biblioshiny and VOSviewer, were applied to produce performance analysis, thematic mapping, and network visualization.

Results: Five main research themes were identified: (1) Cloud Computing and Cybersecurity, (2) Information Management and the Internet of Things, (3) Artificial Intelligence as an Integral Cross-Discipline Hub, (4) Machine Learning and Deep Learning Applications, and (5) Educational Technology and E-Learning. This study also demonstrates the developing trends and knowledge gaps in each theme for directions of future research.

Conclusions: The review summarizes the intellectual structure of the literature on artificial intelligence and information technology. Researchers can use this work as a reference for additional research on the subject of artificial intelligence.

  1. Arslan A, Cooper C, Khan Z, Golgeci I, Ali I. Artificial intelligence and human workers interaction at team level: a conceptual assessment of the challenges and potential HRM strategies. International Journal of Manpower. 2022 Apr 22;43(1):75-88.
  2.  McCarthy J, Minsky ML, Rochester N, Shannon CE. A proposal for the dartmouth summer research project on artificial intelligence, august 31, 1955. AI magazine. 2006 Dec 15;27(4):12-.
  3. Moor J. The Dartmouth College artificial intelligence conference: The next fifty years. AI magazine. 2006 Dec 15;27(4):87-.
  4. Hajra V, Aggarwal A. Unveiling the antecedents of senior citizens′ behavioural intentions to travel: A mixed-method approach. Tourism and Hospitality Research. 2023 Jul;23(3):312-31.
  5. Mikalef P, Gupta M. Artificial intelligence capability: Conceptualization, measurement calibration, and empirical study on its impact on organizational creativity and firm performance. Information & management. 2021 Apr 1;58(3):103434.
  6. Lehman-Wilzig S. Book Review: an introduction to communication and artificial intelligence.
  7. Palos-Sánchez PR, Baena-Luna P, Badicu A, Infante-Moro JC. Artificial intelligence and human resources management: A bibliometric analysis. Applied Artificial Intelligence. 2022 Dec 31;36(1):2145631.
  8. Qamar Y, Agrawal RK, Samad TA, Chiappetta Jabbour CJ. When technology meets people: the interplay of artificial intelligence and human resource management. Journal of Enterprise Information Management. 2021 Nov 9;34(5):1339-70.
  9. Kambur E, Yildirim T. From traditional to smart human resources management. International Journal of Manpower. 2023 May 1;44(3):422-52.
  10. Jatobá MN, Ferreira JJ, Fernandes PO, Teixeira JP. Intelligent human resources for the adoption of artificial intelligence: a systematic literature review. Journal of Organizational Change Management. 2023 Dec 11;36(7):1099-124.
  11. Hamouche S, Rofa N, Parent-Lamarche A. Systematic bibliometric review of artificial intelligence in human resource development: insights for HRD researchers, practitioners and policymakers. European Journal of Training and Development. 2023 Dec 19;49(1/2):43-62.
  12. Panda G, Dash MK, Samadhiya A, Kumar A, Mulat-weldemeskel E. Artificial intelligence as an enabler for achieving human resource resiliency: past literature, present debate and future research directions. International journal of industrial engineering and operations management. 2023 Sep 25;6(4):326-47.
  13. Mozaffari F, Rahimi M, Yazdani H, Sohrabi B. Employee attrition prediction in a pharmaceutical company using both machine learning approach and qualitative data. Benchmarking: An International Journal. 2023 Dec 1;30(10):4140-73.
  14. Garg S, Sinha S, Kar AK, Mani M. A review of machine learning applications in human resource management. International Journal of Productivity and Performance Management. 2022 May 6;71(5):1590-610.
  15. Maqueira Marin JM, Oliveira-Dias DD, Jafari Navimipour N, Gardas B, Unal M. Cloud computing and human resource management: systematic literature review and future research agenda. Kybernetes. 2022 May 17;51(6):2172-91.
  16. Vrontis D, Christofi M, Pereira V, Tarba S, Makrides A, Trichina E. Artificial intelligence, robotics, advanced technologies and human resource management: a systematic review. Artificial intelligence and international HRM. 2023 May 22:172-201.
  17. Ashley KD. Artificial intelligence and legal analytics: new tools for law practice in the digital age. Cambridge University Press; 2017 Jul 10.
  18. Jackson PC. Toward human-level artificial intelligence: Representation and computation of meaning in natural language.
  19. Alpaydin E. Introduction to machine learning. MIT press; 2020 Mar 24.
  20. Patil KA, Kale NR. A model for smart agriculture using IoT. In2016 international conference on global trends in signal processing, information computing and communication (ICGTSPICC) 2016 Dec 22 (pp. 543-545). IEEE.
  21. Dirican C. The impacts of robotics, artificial intelligence on business and economics. Procedia-social and behavioral sciences. 2015 Jul 3;195:564-73.
  22. Matthews JR. Facing the digital reality. Public Library Quarterly. 2017 Apr 3;36(2):95-.
  23. Chen Y, Wang Y, Nevo S, Jin J, Wang L, Chow WS. IT capability and organizational performance: the roles of business process agility and environmental factors. European Journal of Information Systems. 2014 May 1;23(3):326-42.
  24. Lu Y, K.(Ram) Ramamurthy.: An empirical examination. MIS quarterly. 2011 Dec 1:931-54.
  25. Upadhyay N, Upadhyay S, Dwivedi YK. Theorizing artificial intelligence acceptance and digital entrepreneurship model. International Journal of Entrepreneurial Behavior & Research. 2022 Jul 8;28(5):1138-66.
  26. Wider W, Jiang L, Lin J, Fauzi MA, Li J, Chan CK. Metaverse chronicles: a bibliometric analysis of its evolving landscape. International Journal of Human–Computer Interaction. 2024 Sep 1;40(17):4873-86.
  27. Arora M, Prakash A, Dixit S, Mittal A, Singh S. A critical review of HR analytics: visualization and bibliometric analysis approach. Information Discovery and Delivery. 2022 Dec 22;51(3):267-82.
  28. Bornmann L, Mutz R. Growth rates of modern science: A bibliometric analysis based on the number of publications and cited references. Journal of the association for information science and technology. 2015 Nov;66(11):2215-22.
  29. Moed HF. Citation analysis in research evaluation. Dordrecht: Springer Netherlands; 2005 Dec.
  30. Waltman L. A review of the literature on citation impact indicators. Journal of informetrics. 2016 May 1;10(2):365-91.
  31. Glänzel W, Moed HF. Journal impact measures in bibliometric research. Scientometrics. 2002 Feb;53(2):171-93.
  32. Donthu N, Kumar S, Mukherjee D, Pandey N, Lim WM. How to conduct a bibliometric analysis: An overview and guidelines. Journal of business research. 2021 Sep 1;133:285-96.
  33. Adams J. The fourth age of research. Nature. 2013 May 30;497(7451):557-60.
  34. Tahamtan I, Safipour Afshar A, Ahamdzadeh K. Factors affecting number of citations: a comprehensive review of the literature. Scientometrics. 2016 Jun;107(3):1195-225.
  35. Donthu N, Kumar S, Mukherjee D, Pandey N, Lim WM. How to conduct a bibliometric analysis: An overview and guidelines. Journal of business research. 2021 Sep 1;133:285-96.
  36. Aria M, Cuccurullo C. bibliometrix: An R-tool for comprehensive science mapping analysis. Journal of informetrics. 2017 Nov 1;11(4):959-75.
  37. Van Eck N, Waltman L. Software survey: VOSviewer, a computer program for bibliometric mapping. scientometrics. 2010 Aug 1;84(2):523-38.
  38. Dwivedi YK, Kshetri N, Hughes L, Slade EL, Jeyaraj A, Kar AK, Baabdullah AM, Koohang A, Raghavan V, Ahuja M, Albanna H. Opinion Paper:“So what if ChatGPT wrote it?” Multidisciplinary perspectives on opportunities, challenges and implications of generative conversational AI for research, practice and policy. International journal of information management. 2023 Aug 1;71:102642.

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