Artificial intelligence in career development: a scoping review

References

• Arksey, H., and L. O’Malley. 2005. “Scoping Studies: Towards a Methodological Framework.” International Journal of Social Research Methodology 8 (1): 19–32. https://doi.org/10.1080/1364557032000119616.
   Google Scholar
• Bartosiak, M., and A. Modliński. 2022. “Fired by an Algorithm? Exploration of Conformism with Biased Intelligent Decision Support Systems in the Context of Workplace Discipline.” Career Development International 27 (6/7): 601–615. https://doi.org/10.1108/cdi-06-2022-0170.
   Web of Science ®Google Scholar
• Birhane, A. 2021. “The Impossibility of Automating Ambiguity.” Artificial Life 27 (1): 44–61. https://doi.org/10.1162/artl_a_00336.
   PubMed Web of Science ®Google Scholar
• Brougham, D., and J. Haar. 2017. “Smart Technology, Artificial Intelligence, Robotics, and Algorithms (STARA): Employees’ Perceptions of Our Future Workplace.” Journal of Management & Organization 24 (2): 239–257. https://doi.org/10.1017/jmo.2016.55.
   Web of Science ®Google Scholar
• Chuang, S., and C. M. Graham. 2018. “Embracing the Sobering Reality of Technological Influences on Jobs, Employment and Human Resource Development.” European Journal of Training & Development 42 (7/8): 400–416. https://doi.org/10.1108/ejtd-03-2018-0030.
   Google Scholar
• Curşeu, P. L., J. Semeijn, and I. Nikolova. 2020. “Career Challenges in Smart Cities: A Sociotechnical Systems View on Sustainable Careers.” Human Relations 74 (5): 656–677. https://doi.org/10.1177/0018726720949925.
   Web of Science ®Google Scholar
• Danysz, K., S. Cicirello, E. Mingle, B. Assuncao, N. Tetarenko, R. Mockute, D. Abatemarco, M. Widdowson, and S. Desai. 2018. “Artificial Intelligence and the Future of the Drug Safety Professional.” Drug Safety 42 (4): 491–497. https://doi.org/10.1007/s40264-018-0746-z.
   Web of Science ®Google Scholar
• Do, H. D., K. T. Tsai, J. M. Wen, and S. K. Huang. 2022. “Hard Skill Gap Between University Education and the Robotic Industry.” Journal of Computer Information Systems 63 (1): 24–36. https://doi.org/10.1080/08874417.2021.2023336.
   Web of Science ®Google Scholar
• Drewery, D., J. Woodside, and K. Eppel. 2022. “Artificial Intelligence and Résumé Critique Experiences.” Canadian Journal of Career Development 21 (2): 28–39. https://doi.org/10.53379/cjcd.2022.338.
   Web of Science ®Google Scholar
• Egan, T. M., M. G. Upton, and S. A. Lynham. 2006. “Career Development: Load-Bearing Wall or Window Dressing? Exploring Definitions, Theories, and Prospects for HRD-Related Theory Building.” Human Resource Development Review 5 (4): 442–477. https://doi.org/10.1177/1534484306294155.
   Google Scholar
• Franklin, J. 2019. GDPR Has Kept AI Ethical Despite Concerns. International Financial Law Review, N.PAG. Retrieved from https://search.ebscohost.com/login.aspx?direct=true&db=bsu&AN=139213623&site=ehost-live&scope=site&authtype=shib&custid=s8516548.
   Google Scholar
• Garrard, J. 2016. Health Sciences Literature Review Made Easy: The Matrix Method. 5th ed. Burlington, MA: Jones & Bartlett Learning.
   Google Scholar
• Gaudet, M. J. 2022. “An Introduction to the Ethics of Artificial Intelligence.” Journal of Moral Theology 11:1–12.Retrieved from https://search.ebscohost.com/login.aspx?direct=true&db=asn&AN=156176447&site=ehost-live&scope=site&authtype=shib&custid=s8516548 Special Issue 1. https://doi.org/10.55476/001c.34121.
   Google Scholar
• Gouda, H. 2022. “Exploring the Effects of Learning Abilities, Technology and Market Changes on the Need for Future Skills.” Higher Education, Skills & Work-Based Learning 12 (5): 900–913. https://doi.org/10.1108/heswbl-10-2021-0200.
   Web of Science ®Google Scholar
• Guleria, P., and M. Sood. 2022. “Explainable AI and Machine Learning: Performance Evaluation and Explainability of Classifiers on Educational Data Mining Inspired Career Counseling.” Education and Information Technologies 28 (1): 1081–1116. https://doi.org/10.1007/s10639-022-11221-2.
   PubMed Web of Science ®Google Scholar
• Guo, P., K. Xiao, Z. Ye, H. Zhu, and W. Zhu. 2022. “Intelligent Career Planning via Stochastic Subsampling Reinforcement Learning.” Scientific Reports 12 (1). https://doi.org/10.1038/s41598-022-11872-8.
   Web of Science ®Google Scholar
• Hagendorff, T. 2020. “The Ethics of AI Ethics: An Evaluation of Guidelines.” Minds & Machines 30 (1): 99–120. https://doi.org/10.1007/s11023-020-09517-8.
   Web of Science ®Google Scholar
• Huang, L., and B. Ding. 2022. “The Establishment of College Student Employment Guidance System Integrating Artificial Intelligence and Civic Education.” Mathematical Problems in Engineering 2022:1–9. https://doi.org/10.1155/2022/3934381.
   Web of Science ®Google Scholar
• Jackson, D., G. Michelson, and R. Munir. 2022. “New Technology and Desired Skills of Early Career Accountants.” Pacific Accounting Review 34 (4): 548–568. https://doi.org/10.1108/par-04-2021-0045.
   Web of Science ®Google Scholar
• Janardhan, K. S., R. Kohnken, O. C. Turner, C. B. Gurumurthy, and R. C. Kovi. 2019. “Looking Forward: Cutting-Edge Technologies and Skills for Pathologists in the Future.” Toxicologic Pathology 47 (8): 1082–1087. https://doi.org/10.1177/0192623319873855.
   PubMed Web of Science ®Google Scholar
• Kambur, E., and C. Akar. 2021. “Human Resource Developments with the Touch of Artificial Intelligence: A Scale Development Study.” International Journal of Manpower 43 (1): 168–205. https://doi.org/10.1108/ijm-04-2021-0216.
   Web of Science ®Google Scholar
• Kantar, N., and T. W. Bynum. 2021. “Global Ethics for the Digital Age – Flourishing Ethics.” Journal of Information, Communication and Ethics in Society 19 (3): 329–344. https://doi.org/10.1108/jices-01-2021-0016.
   Web of Science ®Google Scholar
• Kaswa, R., A. K. Nair, S. Murphy, and K. B. Von Pressentin. 2022. “Artificial Intelligence: A Strategic Opportunity for Enhancing Primary Care in South Africa.” South African Family Practice 64 (1). https://doi.org/10.4102/safp.v64i1.5596.
   Web of Science ®Google Scholar
• Knowles, M. S. 1980. The Modern Practice of Adult Education: From Pedagogy to Andragogy (Rev. and Updated.). New York, NY: Association Press/Follett.
   Google Scholar
• Kong, H., Y. Yuan, Y. Baruch, N. Bu, X. Jiang, and K. Wang. 2021. “Influences of Artificial Intelligence (AI) Awareness on Career Competency and Job Burnout.” International Journal of Contemporary Hospitality Management 33 (2): 717–734. https://doi.org/10.1108/ijchm-07-2020-0789.
   Web of Science ®Google Scholar
• Kraus, S., C. Palmer, N. Kailer, F. L. Kallinger, and J. Spitzer. 2018. “Digital entrepreneurship.” International Journal of Entrepreneurial Behaviour & Research ahead-of-print (ahead–of–print): ahead-of-print(ahead-of–print. https://doi.org/10.1108/ijebr-06-2018-0425.
   Google Scholar
• Lee, D., M. Kim, I. Na, and S. O. Hwang. 2018. “Artificial Intelligence Based Career Matching.” Journal of Intelligent and Fuzzy Systems 35 (6): 6061–6070. https://doi.org/10.3233/jifs-169846.
   Web of Science ®Google Scholar
• Lent, R. W. 2018. “Future of Work in the Digital World: Preparing for Instability And Opportunity.” The Career Development Quarterly 66 (3): 205–219. https://doi.org/10.1002/cdq.12143.
   Web of Science ®Google Scholar
• Lent, R. W., and S. D. Brown. 2013. “Social Cognitive Model of Career Self-Management: Toward a Unifying View of Adaptive Career Behavior Across the Life Span.” Journal of Counseling Psychology 60 (4): 557. https://doi.org/10.1037/a0033446.
   PubMed Web of Science ®Google Scholar
• Levac, D., H. Colquhoun, and K. K. O’Brien. 2010. “Scoping Studies: Advancing the Methodology.” Implementation Science 5 (1). https://doi.org/10.1186/1748-5908-5-69.
   PubMed Web of Science ®Google Scholar
• Lopes, S. A., M. E. Duarte, and J. Lopes. 2018. “Can Artificial Neural Networks Predict lawyers’ Performance Rankings?” International Journal of Productivity and Performance Management 67 (9): 1940–1958. https://doi.org/10.1108/ijppm-08-2017-0212.
   Web of Science ®Google Scholar
• Malik, N., S. N. Tripathi, A. K. Kar, and S. Gupta. 2021. “Impact of Artificial Intelligence on Employees Working in Industry 4.0 Led Organizations.” International Journal of Manpower 43 (2): 334–354. https://doi.org/10.1108/ijm-03-2021-0173.
   Web of Science ®Google Scholar
• Maragno, G., L. Tangi, L. Gastaldi, and M. Benedetti. 2022. “AI As an Organizational Agent to Nurture: Effectively Introducing Chatbots in Public Entities.” Public Management Review 25 (11): 2135–2165. https://doi.org/10.1080/14719037.2022.2063935.
   Web of Science ®Google Scholar
• Mikalef, P., K. Conboy, J. E. Lundström, and A. Popovič. 2022. “Thinking Responsibly About Responsible AI and ‘The Dark side’ of AI.” European Journal of Information Systems 31 (3): 257–268. https://doi.org/10.1080/0960085x.2022.2026621.
   Web of Science ®Google Scholar
• Milton, C. L. 2021. “Risking Human Dignity with Innovations: Artificial Intelligence and the Future of the Discipline of Nursing.” Nursing Science Quarterly 34 (3): 244–246. https://doi.org/10.1177/08943184211010440.
   PubMed Web of Science ®Google Scholar
• Mulder, R. H. 2021. “The Impact of New Technologies on Work and Its Implications for Human Resource Development Research.” Human Resource Development Quarterly 32 (2): 105–109. https://doi.org/10.1002/hrdq.21447.
   Web of Science ®Google Scholar
• Pathak, S., and V. K. Solanki. 2021. Impact of Internet of Things and Artificial Intelligence on Human Resource Development Intelligent Systems Reference Library 239–267. https://doi.org/10.1007/978-3-030-57835-0_19
   Google Scholar
• Petkov, R. 2021. Digital Media Literacy, Artificial Intelligence and Modernization of Youth Career Services. 2021 XXX International Scientific Conference Electronics (ET). https://doi.org/10.1109/et52713.2021.9579955
   Google Scholar
• Pitardi, V., J. Wirtz, S. Paluch, and W. H. Kunz. 2021. “Service Robots, Agency and Embarrassing Service Encounters.” Journal of Service Management 33 (2): 389–414. https://doi.org/10.1108/josm-12-2020-0435.
   Web of Science ®Google Scholar
• Presbitero, A., and M. Teng-Calleja. 2022. “Job Attitudes and Career Behaviors Relating to Employees’ Perceived Incorporation of Artificial Intelligence in the Workplace: A Career Self-Management Perspective.” Personnel Review 52 (4): 1169–1187. https://doi.org/10.1108/pr-02-2021-0103.
   Web of Science ®Google Scholar
• Ronquillo, C., L. Peltonen, L. Pruinelli, C. H. Chu, S. Bakken, A. Beduschi, K. Cato, et al. 2021. “Artificial Intelligence in Nursing: Priorities and Opportunities from an International Invitational Think‐Tank of the Nursing and Artificial Intelligence Leadership Collaborative.” Journal of Advanced Nursing 77 (9): 3707–3717. https://doi.org/10.1111/jan.14855.
   PubMed Web of Science ®Google Scholar
• Sharma, M., S. K. Joshi, S. Luthra, and A. Kumar. 2022. “Analysing the Impact of Sustainable Human Resource Management Practices and Industry 4.0 Technologies Adoption on Employability Skills.” International Journal of Manpower 43 (2): 463–485. https://doi.org/10.1108/ijm-02-2021-0085.
   Web of Science ®Google Scholar
• Singh, R., P. Sharma, C. Foropon, and H. M. Belal. 2022. “The Role of Big Data and Predictive Analytics in the Employee Retention: A Resource-Based View.” International Journal of Manpower 43 (2): 411–447. https://doi.org/10.1108/ijm-03-2021-0197.
   Web of Science ®Google Scholar
• Sivathanu, B., and R. Pillai. 2018. “Smart HR 4.0 – How Industry 4.0 Is Disrupting HR.” Human Resource Management International Digest 26 (4): 7–11. https://doi.org/10.1108/hrmid-04-2018-0059.
   Google Scholar
• Stuart, N., G. Hartfield, D. M. Schultz, K. A. Wilson, G. West, R. R. Hoffman, G. M. Lackmann, et al. 2022. “The Evolving Role of Humans in Weather Prediction and Communication.” Bulletin of the American Meteorological Society 103 (8): E1720–E1746. https://doi.org/10.1175/bams-d-20-0326.1.
   Web of Science ®Google Scholar
• Swanson, R. A., and E. F. Holton. 2009. Foundations of Human Resource Development. 2nd ed. Oakland, CA: Berrett-Kohler.
   Google Scholar
• Tiron-Tudor, A., and D. Deliu. 2021. “Reflections on the Human-Algorithm Complex Duality Perspectives in the Auditing Process.” Qualitative Research in Accounting and Management. https://doi.org/10.1108/qram-04-2021-0059.
   Web of Science ®Google Scholar
• Tricco, A. C., E. Lillie, W. Zarin, K. K. O’Brien, H. Colquhoun, D. Levac, D. Moher, et al. 2018. “PRISMA Extension for Scoping Reviews (PRISMA-ScR): Checklist and Explanation.” Annals of Internal Medicine 169 (7): 467–473. https://doi.org/10.7326/m18-0850.
   PubMed Web of Science ®Google Scholar
• Veloso, E. F. R., L. N. Trevisan, R. C. Da Silva, and J. S. Dutra. 2018. “The Use of Traditional and Non-Traditional Career Theories to Understand the young’s Relationship with New Technologies.” REGE - Revista de Gestão 25 (4): 340–357. https://doi.org/10.1108/rege-12-2017-0008.
   Google Scholar
• Walker, D. H., and B. Lloyd-Walker. 2019. “The Future of the Management of Projects in the 2030s.” International Journal of Managing Projects in Business 12 (2): 242–266. https://doi.org/10.1108/ijmpb-02-2018-0034.
   Web of Science ®Google Scholar
• Wang, L. 2020. “Artificial Intelligence and Career Development of College Teachers: Challenge and Countermeasures.” Journal of Physics: Conference Series 1550 (2): 022030. https://doi.org/10.1088/1742-6596/1550/2/022030.
   Google Scholar
• Westman, S., J. Kauttonen, A. Klemetti, N. Korhonen, M. Manninen, A. Mononen, S. Niittymäki, and H. Paananen. 2021. “Artificial Intelligence for Career Guidance – Current Requirements and Prospects for the Future.” IAFOR Journal of Education 9 (4): 43–62. https://doi.org/10.22492/ije.9.4.03.
   Google Scholar
• Wilson, M., P. Robertson, P. Cruickshank, and D. Gkatzia. 2022. “Opportunities and Risks in the Use of AI in Career Development Practice.” Journal of the National Institute for Career Education and Counselling 48 (1): 48–57. https://doi.org/10.20856/jnicec.4807.
   Google Scholar
• Wirtz, J., P. G. Patterson, W. H. Kunz, T. Gruber, V. N. Lu, S. Paluch, and A. Martins. 2018. “Brave New World: Service Robots in the Frontline.” Journal of Service Management 29 (5): 907–931. https://doi.org/10.1108/josm-04-2018-0119.
   Web of Science ®Google Scholar
• Xie, S. L., S. Li, and R. Han. 2022. “Competing with Artificial Intelligence – Can the Records and Information Management Profession Withstand the Challenge?” Records Management Journal 32 (2): 151–169. https://doi.org/10.1108/rmj-08-2021-0033.
   Web of Science ®Google Scholar
• Xu, S., J. Stienmetz, and M. Ashton. 2020. “How Will Service Robots Redefine Leadership in Hotel Management? A Delphi Approach.” International Journal of Contemporary Hospitality Management 32 (6): 2217–2237. https://doi.org/10.1108/ijchm-05-2019-0505.
   Web of Science ®Google Scholar
• Yam, K. C., P. M. Tang, J. C. Jackson, R. Su, and K. Gray. 2022. “The Rise of Robots Increases Job Insecurity and Maladaptive Workplace Behaviors: Multimethod Evidence.” Journal of Applied Psychology. https://doi.org/10.1037/apl0001045.
   Web of Science ®Google Scholar
• Yang, Z., and M. Talha. 2021. “A Coordinated and Optimized Mechanism of Artificial Intelligence for Student Management by College Counselors Based on Big Data.” Computational and Mathematical Methods in Medicine 2021:1–11. https://doi.org/10.1155/2021/9508838.
   Web of Science ®Google Scholar
• Yoon, S. W. 2021. “Explosion of People Analytics, Machine Learning, and Human Resource Technologies: Implications and Applications for Research.” Human Resource Development Quarterly 32 (3): 243–250. https://doi.org/10.1002/hrdq.21456.
   Web of Science ®Google Scholar
• Zhang, W., X. Guan, X. Zhou, and J. Lu. 2019. “The Effect of Career Adaptability on Career Planning in Reaction to Automation Technology.” Career Development International 24 (6): 545–559. https://doi.org/10.1108/cdi-05-2018-0135.
   Web of Science ®Google Scholar
• Zhong, J., R. Ho, S. Gourtsoyianni, L. Oleaga, C. Catalano, M. Becker, and V. Goh. 2022. “Attracting the Next Generation of Radiologists: A Statement by the European Society of Radiology (ESR).” Insights Into Imaging 13 (1). https://doi.org/10.1186/s13244-022-01221-8.
   Web of Science ®Google Scholar