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- An analysis of the literature about the application of Artificial Intelligence to the Recruitment and Personnel Selection
AMBLER, T. & BARROW, S. (1996). The employer brand. Journal ofbrand management, 4 (3), 185-206.
BACKHAUS,K.&TIKOO,S.(2004).Conceptualizingandresearchingemployer branding. Career development international, 9, 501-517.
BHARDWAJ, G., SINGH, S.V. & KUMAR, V. (2020). An empiricalstudy of artificial intelligence and its impact on humanresource functions. Proceedings of International Conference onComputation,AutomationandKnowledgeManagement,ICCAKM2020. https:/
doi.org/10.1109/ICCAKM46823.2020.9051544CHAMORRO-PREMUZIC, T. & FURNHAM, A. (2010). Thepsychology of personnel selection. In The Psychology of PersonnelSelection. Cambridge University Press https:/
doi.org/10.1017/CBO9780511819308CORTESE, C.G. & DEL CARLO, A. (2017). La selezione del personale.Come scegliere il candidato migliore ai tempi del web. RaffaelloCortina Editore.
GEETHA, R. & BHANU SREE REDDY, D. (2018). Recruitmentthrough artificial intelligence: A conceptual study. InternationalJournal of Mechanical Engineering and Technology, 9 (7), 63-70.
GHISLIERI, C., MOLINO, M. & CORTESE, C.G. (2018). Workand organizational psychology looks at the Fourth IndustrialRevolution: How to support workers and organizations? Frontiersin Psychology, 9, 2365. https:/
doi.org/10.3389/fpsyg.2018.02365GUPTA, P., FERNANDES, S.F. & JAIN, M. (2018). Automation inrecruitment: A new frontier. Journal of Information TechnologyTeaching Cases, 8 (2), 118-125. https:/
doi.org/10.1057/s41266-018-0042-xJARRAHI, M.H. (2018). Artificial intelligence and the future ofwork: Human-AI symbiosis in organizational decision making.Business Horizons, 61 (4), 577-586. https:/
doi.org/10.1016/j.bushor.2018.03.007JIA, Q., GUO, Y., LI, R., LI, Y. & CHEN, Y. (2018). A conceptualartificial intelligence application framework in human resourcemanagement. Proceedings of the International Conference onElectronic Business (ICEB).
LUCCI, S. & KOPEC, D. (2016). Artificial intelligence in the 21stcentury: A living introduction. mercury learning and information.Duxbury.NAWAZ, N. (2019a). Artificial intelligence interchange humanintervention in the recruitment process in Indian SoftwareIndustry. International Journal of Advanced Trends in ComputerScience and Engineering, 8 (4), 1433-1441. Retrieved from http://www.warse.org/IJATCSE/static/pdf/file/ijatcse62842019.pdfNAWAZ, N. (2019b). Artificial intelligence is transformingrecruitmenteffectivenessinCMMIlevelcompanies.InternationalJournal of Advanced Trends in Computer Science and Engineering,8 (6). https:/
doi.org/10.30534/ijatcse/2019/56862019NAWAZ, N. & GOMES, A.M. (2019). Artificial intelligence chatbotsare new recruiters. International Journal of Advanced ComputerScience and Applications, 10 (9), 1-5. https:/
doi.org/10.14569/ijacsa.2019.0100901OSOBA, O. & WELSER, W. (2017). An intelligence in our image: Therisks of bias and errors in artificial intelligence. In An intelligencein our image: The risks of bias and errors in artificial intelligence.https:/
doi.org/10.7249/rr1744RAB-KETTLER, K. & LEHNERVP, B. (2019). Recruitment in thetimes of machine learning. Management Systems in ProductionEngineering, 27 (2), 105-109. https:/
doi.org/10.1515/mspe-2019-0018RUSSEL, S. & NORVIG, P. (2012). Artificial intelligence: A modernapproach 3rd edition. In The Knowledge Engineering Review.https:/
doi.org/10.1017/S0269888900007724RYNES, S.L., COLBERT, A.E. & BROWN, K.G. (2002). HRprofessionals’ beliefs about effective human resource practices:Correspondence between research and practice. HumanResource Management, 41 (2), 149-174. https:/
doi.org/10.1002/hrm.10029SIMONOVA, M., LYACHENKOV, Y. & KRAVCHENKO, A. (2020).HR innovation risk assessment. E3S Web of Conferences 157.
SYLVA,H.&MOL,S.T.(2009).E-Recruitment:Astudyintoapplicantperceptions of an online application system. InternationalJournal of Selection and Assessment, 17 (3), 311-323. https:/
doi.org/10.1111/j.1468-2389.2009.00473.xTAMBE, P., CAPPELLI, P. & YAKUBOVICH, V. (2019). Artificialintelligence in human resources management: Challenges anda path forward. California Management Review, 61 (4), 15-42.https:/
doi.org/10.1177/0008125619867910VAN DEN BROEK, E., SERGEEVA, A. & HUYSMAN, M. (2020).Hiring algorithms: An ethnography of fairness in practice. 40thInternational Conference on Information Systems, ICIS 2019.
VAN ESCH, P. & BLACK, J.S. (2019). Factors that influence newgeneration candidates to engage with and complete digital, AI-enabled recruiting. Business Horizons, 62 (6), 729-739. https:/
doi.org/10.1016/j.bushor.2019.07.004VAN ESCH, P., BLACK, J.S. & FEROLIE, J. (2019). Marketing AIrecruitment: The next phase in job application and selection.Computers in Human Behavior, 90, 215-222. https:/
doi.org/10.1016/j.chb.2018.09.009WANG, Y. & KOSINSKI, M. (2017). Deep neural networks can detectsexual orientation from faces. Journal of Personality and SocialPsychology, 1-47.
WRIGHT, J. & ATKINSON, D. (2019). The impact of artificialintelligence within the recruitment industry: Defining a new wayof recruiting. Carmichael Fisher, 1-39.
ZOU, J. & SCHIEBINGER, L. (2018). AI can be sexist and racist: It’stime to make it fair. Nature. https:/
doi.org/10.1038/d41586-018-05707-8First published November 23, 2024
First published November 23, 2024
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