Alabbassam, W. A. (2023). The power of artificial intelligence in recruit-ment: An analytical review of cur-rent AI-based recruitment strate-gies. International Journal of Pro-fessional Business Review, 8(6), e02089-e02089.
Allen, D. G., & Slaughter, J. E. (2024). Key Trends and Future Research Direc-tions in Recruitment Research, Ac-cording to AI (Sort of). Essentials of Employee Recruitment, 369-378.
Allal-Chérif, O., Aránega, A. Y., & Sánchez, R. C. (2021). Intelligent recruit-ment: How to identify, select, and retain talents from around the world using artificial intelligence. Technological Forecasting and So-cial Change, 169, 120822
Almania, N., Alhouli, S., & Sahoo¹, D. (2024). Human Interaction and Emerging Technologies (IHIET-AI 2024), Vol. 120, 2024, 24-36 AHFE. Human Interaction & Emerging Technologies (IHIET-AI 2024), 24.
Akhtar, M. (2023). Artificial Intelligence in HR: Evolution, Trends, and Chal-lenges. Human Resource Manage-ment Journal, 35(2), 58-72.
Armstrong, S., & Lee, M. (2023). The Role of AI in Revolutionizing the Re-cruitment Process. Journal of Digi-tal HR, 5(1), 29-42.
Asif, M. (2024). AI and Human Interaction: Enhancing User Experience Through Intelligent Systems. Fron-tiers in Artificial Intelligence Re-search, 1(02), 209-249.
Bakshi, A., & Damle, M. Using Artificial In-telligence in HR Functions for Re-cruitment: An Overview.
Bakpayev, M., Baek, T. H., Van Esch, P., & Yoon, S. (2022). Programmatic cre-ative: AI can think but it cannot feel. Australasian Marketing Jour-nal, 30(1), 90-95.
Balcioğlu, Y. S., & Artar, M. (2024). Artifi-cial intelligence in employee re-cruitment. Global Business and Or-ganizational Excellence.
Blumen, D., & Cepellos, V. (2023). Dimen-sions of the use of technology and Artificial Intelligence (AI) in Re-cruitment and Selection (R&S): benefits, trends, and resistance. Cadernos EBAPE. BR, 21, e2022-0080.
Bogen, M., & Rieke, A. (2018). Help wanted: An examination of hiring algo-rithms, equity, and bias. Upturn, December, 7.
Brown, S.R. (1996). Q methodology and qualitative research. Qual. Health Res. 6, 561–567, doi: 10.1177/104973239600600408.
Brundage, M., Avin, S., Wang, J., Belfield, H., Krueger, G., Hadfield, G., ... & Anderljung, M. (2020). Toward trustworthy AI development: mechanisms for supporting verifia-ble claims. arXiv preprint arXiv:2004.07213. https://doi.org/10.48550/arXiv.2004.07213
Cabitza, F. (2019). Biases affecting human decision making in AI-supported second opinion settings. In Model-ing Decisions for Artificial Intelli-gence (pp. 283–294). Springer.
Chang, Y.-L., & Ke, J. (2024). Socially re-sponsible artificial intelligence em-powered people analytics: A novel framework towards sustainability. Human Resource Development Re-view, 23(1), 88–120. https://doi.org/10.1177/15344843231200930
Charlwood, A., & Guenole, N. (2022). Can HR adapt to the paradoxes of arti-ficial intelligence?. Human Re-source Management Journal, 32(4), 729-742.
Chen, Z. (2023). Collaboration among re-cruiters and artificial intelligence: removing human prejudices in em-ployment. Cognition, Technology & Work, 25(1), 135-149.
Cheng, M. M., & Hackett, R. D. (2021). A critical review of algorithms in HRM: Definition, theory, and prac-tice. Human Resource Manage-ment Review, 31(1), 100698.
Cho, W., Choi, S., & Choi, H. (2023). Hu-man resources analytics for public personnel management: Concepts, cases, and caveats. Administrative Sciences, 13(2), 41.
Coeckelbergh, M. (2023). Narrative re-sponsibility and artificial intelli-gence: How AI challenges human responsibility and sense-making. AI & society, 38(6), 2437-2450.
Dastin, J. (2022). Amazon scraps secret AI recruiting tool that showed bias against women. In Ethics of data and analytics (pp. 296-299). Auer-bach Publications.
Deepa, P., Sridevi, E., Dokku, S. R., Dhina-karan, D. P., Natarajan, S., & Raja-lakshmi, M. (2024). A Study ON Ap-plication OF Artificial Intelligence and Its Chalenges in HR. YUGATO, 76(1).
Delecraz, S., Eltarr, L., Becuwe, M., Bouxin, H., Boutin, N., & Oullier, O. (2022). Responsible Artificial Intel-ligence in Human Resources Tech-nology: An innovative inclusive and fair by design matching algorithm for job recruitment purposes. Journal of Responsible Technolo-gy, 11, 100041.
Desouza, K. C., Dawson, G. S., & Chenok, D. (2020). Designing, developing, and deploying artificial intelligence systems: Lessons from and for the public sector. Business Hori-zons, 63(2), 205-213. https://doi.org/10.1016/j.bushor.2019.11.004
Donner, J. C. (2001). Using Q-sorts in par-ticipatory processes: An introduc-tion to the methodology. Social Development Papers, 36, 24-49.
Drage, E., & Mackereth, K. (2022). Does AI debias recruitment? Race, gender, and AI’s “eradication of difference”. Philosophy & technology, 35(4), 89.
Dreković, E., Karabegović, I., & Teofilović, Ž. (2024). A comprehensive view of the application of AI in recruitment and selection. In Artificial Intelli-gence in Industry 4.0: The Future That Comes True. Academy of Sci-ences and Arts of Bosnia and Her-zegovina. https://doi.org/10.5644/pi2024.215.13
Dutta, S., & Ghosh, S. (2024). Leveraging Artificial Intelligence in Recruit-ment: Case Studies and Emerging Trends. International Journal of Human Resource Studies, 13(2), 101-115.
Evseeva, S., Evseeva, O., Burmistrov, A., & Siniavina, M. (2021). Application of artificial intelligence in human re-source management in the agricul-tural sector. In E3S Web of Con-ferences (Vol. 258, p. 01010). EDP Sciences.
Faliagka, E., Tsakalidis, A., & Tzimas, G. (2012). An integrated e‐recruitment system for automated personality mining and applicant ranking. Internet research, 22(5), 551-568.
Ferrer, J., Saville, K., & Pyman, A. (2024). The HR professional at the centre of extreme work: working intense-ly?. The International Journal of Human Resource Management, 35(10), 1883-1908.
França, T. J. F., São Mamede, H., Barroso, J. M. P., & Dos Santos, V. M. P. D. (2023). Artificial intelligence ap-plied to potential assessment and talent identification in an organisa-tional context. Heliyon, 9(4).
Freire, M. N., & de Castro, L. N. (2021). e-Recruitment recommender sys-tems: a systematic review. Knowledge and Information Sys-tems, 63, 1-20.
Fritts, M., & Cabrera, F. (2021). AI recruit-ment algorithms and the dehu-manization problem. Ethics and In-formation Technology, 23, 791-801.
Gabor, M. R. (2008). Q factor analysis (Q-methodology) as data analysis technique. Analele universităţii din Oradea, 73.
Gabor, M. R. (2013). Q-methodology (Q factor analysis): Particularities and theoretical considerations for marketing data. International Jour-nal of Arts and Commerce, 2(4), 116-126.
Gabor, M. R., & Cristache, N. (2021). Q or R factor analysis for subjectiveness measurement in consumer behav-ior? A study case on durable goods buying behavior in Romania. Math-ematics, 9(10), 1136.
Giermindl, L. M., Strich, F., Christ, O., Leicht-Deobald, U., & Redzepi, A. (2022). The dark sides of people analytics: reviewing the perils for organisations and employees. Eu-ropean Journal of Information Sys-tems, 31(3), 410-435.
Golbin, I., Rao, A. S., Hadjarian, A., & Krittman, D. (2020, December). Re-sponsible AI: a primer for the legal community. In 2020 IEEE Interna-tional Conference on Big Data (Big Data) (pp. 2121-2126). IEEE.
Gonzalez, M. F., Liu, W., Shirase, L., Tomczak, D. L., Lobbe, C. E., Justenhoven, R., & Martin, N. R. (2022). Allying with AI? Reactions toward human-based, AI/ML-based, and augmented hiring pro-cesses. Computers in Human Be-havior, 130, 107179.
Green, J., & Patel, R. (2023). Artificial Intel-ligence in Human Resources: Au-tomation, Ethics, and Future Pro-spects. Journal of Business Ethics, 180(3), 809-825.
John, A., & Halliburton, A. L. (2010). Q methodology to assess child–father attachment. Early Child De-velopment and Care, 180(1-2), 71-85.
Han, L. (2024). Challenges and opportuni-ties for corporate human resource management in the context of arti-ficial intelligence. International Journal of Global Economics and Management, 2(2), 147–152. https://doi.org/10.62051/ijgem.v2n2.20
Helo, P., & Hao, Y. (2022). Artificial intelli-gence in operations management and supply chain management: An exploratory case study. Production Planning & Control, 33(16), 1573–1590. https://doi.org/10.1080/09537287.2021.1882690
Hermans, F., Kok, K., Beers, P. J., & Veldkamp, T. (2012). Assessing sus-tainability perspectives in rural in-novation projects using Q‐methodology. Sociologia Ruralis, 52(1), 70-91.
Hmoud, B. (2021). The adoption of artifi-cial intelligence in human resource management and the role of hu-man resources. In Forum Scientiae Oeconomia (Vol. 9, No. 1, pp. 105-118). Wydawnictwo Naukowe Akad-emii WSB.
Huang, M.-H., & Rust, R. T. (2018). Artificial intelligence in service. Journal of Service Research, 21(2), 155–172. https://doi.org/10.1177/1094670517752459
Hunkenschroer, A. L., & Kriebitz, A. (2023). Is AI recruiting (un) ethical? A hu-man rights perspective on the use of AI for hiring. AI and Ethics, 3(1), 199-213.
Islam, M., Rahman, M. M., Taher, M. A., Quaosar, G. A. A., & Uddin, M. A. (2024). Using artificial intelligence for hiring talents in a moderated mechanism. Future Business Jour-nal, 10(1), 13.
Jayanti, L. P. S. D., & Wasesa, M. (2022). Application of Predictive Analytics To Improve The Hiring Process In A Telecommunications Company. Jurnal CoreIT, 8(1), 32-39.
Jalota, S. (2024). Essays on Women'S Em-ployment, Poverty, and Health Outcomes (Doctoral dissertation, Stanford University).
Kadirov, A., Shakirova, Y., Ismoilova, G., & Makhmudova, N. (2024, April). AI in Human Resource Management: Reimagining Talent Acquisition, Development, and Retention. In 2024 International Conference on Knowledge Engineering and Com-munication Systems (ICKECS) (Vol. 1, pp. 1-8). IEEE.
Khandelwal, K., Upadhyay, A. K., & Rukadi-kar, A. (2024). The synergy of hu-man resource development (HRD) and artificial intelligence (AI) in to-day’s workplace. Human Resource Development International, 27(4), 622-639.
Khoa, B. Q., Toal, N., Hien, D., Thuan, T., Nguyen, H., ANH, D., ... & Trang, N. (2024). Influential factors of Artifi-cial Intelligence (AI) in the digital transformation of the human re-sources recruitment process sec-tor in Vietnam. Int. J. Multidiscip. Res. Growth Eval, 5, 1181-1193.
Köchling, A., & Wehner, M. C. (2020). Dis-criminated by an algorithm: a sys-tematic review of discrimination and fairness by algorithmic deci-sion-making in the context of HR recruitment and HR development. Business Research, 13(3), 795-848.
Köchling, A., Wehner, M. C., & Ruhle, S. A. (2024). This (AI) n’t fair? Employee reactions to artificial intelligence (AI) in career development sys-tems. Review of Managerial Sci-ence, 1-34.
Köchling, A., Wehner, M. C., & Warkocz, J. (2023). Can I show my skills? Affec-tive responses to artificial intelli-gence in the recruitment process. Review of Managerial Science, 17(6), 2109–2138. https://doi.org/10.1007/s11846-021-00514-4
Koivunen, S., Ala-Luopa, S., Olsson, T., & Haapakorpi, A. (2022). The march of Chatbots into recruitment: re-cruiters’ experiences, expecta-tions, and design opportunities. Computer Supported Cooperative Work (CSCW), 31(3), 487-516.
Konidena, B. K., Malaiyappan, J. N. A., & Tadimarri, A. (2024). Ethical con-siderations in the development and deployment of AI sys-tems. European Journal of Technol-ogy, 8(2), 41-53.
Kot, S., Hussain, H. I., Bilan, S., Haseeb, M., & Mihardjo, L. W. (2021). The role of artificial intelligence recruit-ment and quality to explain the phenomenon of employer reputa-tion. Journal of Business Econom-ics and Management, 22(4), 867-883.
Koman, G., Boršoš, P., & Kubina, M. (2024). The Possibilities of Using Artificial Intelligence as a Key Technology in the Current Employee Recruit-ment Process. Administrative Sci-ences, 14(7), 157.
Kumar, S., Chaurasia, M., & Singh, P. Ai based chatbots in recruitment: Generation Z users experience. Manager - The British Journal of Administrative Management ISSN - 1746 1278 Volume 59 Special Issue 01 Feb 2023.
Lacroux, A., & Martin-Lacroux, C. (2022). Should I trust the artificial intelli-gence to recruit? Recruiters’ per-ceptions and behavior when faced with algorithm-based recommen-dation systems during resume screening. Frontiers in Psychology, 13, 895997. https://doi.org/10.3389/fpsyg.2022.895997
Ligeiro, N., Dias, I., & Moreira, A. (2024). Recruitment and Selection Process Using Artificial Intelligence: How Do Candidates React?. Administra-tive Sciences, 14(7), 155.
Liu, J., Chen, K., & Lyu, W. (2024). Embrac-ing artificial intelligence in the la-bour market: the case of statistics. Humanities and Social Sciences Communications, 11(1), 1-14.
Lisa, A. K., & Talla Simo, V. R. (2021). An in-depth study on the stages of AI in recruitment process of HRM and attitudes of recruiters and re-cruitees towards AI in Sweden [Master's thesis, Umeå University]. DiVA. http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-184521
Minbaeva, D. (2021). Disrupted HR?. Hu-man Resource Management Re-view, 31(4), 100820.
Mondragon, N., Aichholzer, C., & Leutner, K. (2018). The next generation of assessments. White Paper. HireVue. https://grow.hirevue.com/thank-you/the-next-generation-of-assessments.
Mupaikwa, E. (2024). Artificial Intelligence for Employee Selection. Human Resource Strategies in the Era of Artificial Intelligence, 1.
Nain, V., & Shyam, H. S. (2024). Empirical Analysis of The Role of Artificial In-telligence in Human Resources Re-cruitment and Selection. Proceed-ings on Engineering Sciences, 6(2), 817-826.
Nawaz, N., & Gomes, A. M. (2019). Artificial intelligence chatbots are new re-cruiters. IJACSA) International Journal of Advanced Computer Sci-ence and Applications, 10(9).
Newman, I., & Ramlo, S. (2010). Using Q methodology and Q factor analysis in mixed methods research. Sage handbook of mixed methods in so-cial and behavioral research, 2, 505-530.
Norman, E., & Pahlawati, E. (2024). Peran artificial intelligence dalam rekrutmen dan seleksi: Meningkat-kan efisiensi dan akurasi dalam MSDM. Sci-Tech Journal, 3(1), 45-59.
Ochmann, J., Zilker, S., & Laumer, S. (2021). The evaluation of the black box problem for AI-based recom-mendations: An interview-based study. In Innovation Through In-formation Systems: Volume II: A Collection of Latest Research on Technology Issues (pp. 232-246). Springer International Publishing.
Odili, P. O., Daudu, C. D., Adefemi, A., Ekemezie, I. O., & Usiagu, G. S. (2024). The impact of artificial in-telligence on recruitment and se-lection processes in the oil and gas industry: a review. Engineering Science & Technology Journal, 5(2), 612-638.
Paige, J. B., & Morin, K. H. (2016). Q-sample construction: A critical step for a Q-methodological study. Western Journal of Nursing Re-search, 38(1), 96–110. https://doi.org/10.1177/0193945914545177
Paliwal, N., Zaidi, S., Baby, R., & Siby, A. (2024, September). Artificial Intelli-gence: Economic Impact, Labor Productivity, and Policy Implica-tions. In World Conference on In-formation Systems for Business Management (pp. 29-38). Singa-pore: Springer Nature Singapore. https://doi.org/10.1007/978-981-96-1747-0_3
Pan Y and Froese FJ (2023) An interdisci-plinary review of AI and HRM: Challenges and future directions. Human Resource Management Re-view, 33(1): 100924.
Pessach, D., Singer, G., Avrahami, D., Ben-Gal, H. C., Shmueli, E., & Ben-Gal, I. (2020). Employees recruitment: A prescriptive analytics approach via machine learning and mathemati-cal programming. Decision Support Systems, 134, 113290.
Rana, N. P., Chatterjee, S., Dwivedi, Y. K., & Akter, S. (2022). Understanding dark side of artificial intelligence (AI) integrated business analytics: Assessing firm’s operational ineffi-ciency and competitiveness. Euro-pean Journal of Information Sys-tems, 31(3), 364–387. https://doi.org/10.1080/0960085X.2021.1955628
Sambasivan, N., & Holbrook, J. (2019). To-ward responsible AI for the next billion users. Interactions, 26(1), 68-71.
Sasi, K. P. (2024). Impact of AI in Recruit-ment and Talent Acquisition. Hu-man Resource and Leadership Journal, 9(3), 78–83. https://doi.org/10.47941/hrlj.2117
Sharma, P., & Verma, R. (2024). Human Re-source Management in the Age of Artificial Intelligence: A Compre-hensive Review. International Jour-nal of HR and Organizational Be-havior, 6(1), 23-40.
Shenbhagavadivu, T., Poduval, K., & Vin-itha, V. (2024). ARTIFICIAL INTEL-LIGENCE IN HUMAN RESOURCE: THE KEY TO SUCCESSFUL RE-CRUITING AND PERFORMANCE MANAGEMENT.
Shinebourne, P. (2009). Using Q method in qualitative research. Interna-tional Journal of Qualitative Meth-ods, 8(1), 93–97. https://doi.org/10.1177/160940690900800109
Srivastava, D. G. A. Investigating the Use of Artificial Intelligence in Talent Ac-quisition Procedures.
Stephenson, W. (1975). The study of be-havior: Q-technique and its meth-odology. Chicago, IL: University of Chicago Press.
Surbakti, R. T. (2024). The effect of artifi-cial intelligence on the effective-ness of the recruitment process in startup companies. International Journal of Science and Research Archive, 13(1), 250-256.
Sýkorová, A., Folber, F., Polgárová, K., Móciková, H., Ďuraš, J., Steinerová, K., & Matuš, M. (2024). Artificial in-telligence as a revolutionary tech-nology to enhance recruitment processes in corporate world. Journal of Corporate Communica-tions, 12(1), 24-40.
Talwar, R., & Agarwal, P. (2022). Effective-ness of AI tools with respect to Re-cruitment and Selection Process. Global Journal of Enterprise In-formation System, 14(4), 15-24.
Tambe, P., Cappelli, P., & Yakubovich, V. (2019). Artificial intelligence in hu-man resources management: Chal-lenges and a path forward. Califor-nia Management Review, 61(4), 15–42. https://doi.org/10.1177/0008125619867910
Thomas, R. J., & Mann, G. (2021). Artificial Intelligence and Its Impact on Hu-man Resources in Recruitment and Talent Development. Research in Business and Management Journal.
Tong, S., Jia, N., Luo, X., & Fang, Z. (2021). The Janus face of artificial intelli-gence feedback: Deployment ver-sus disclosure effects on employee performance. Strategic Manage-ment Journal, 42(9), 1600–1631. https://doi.org/10.1002/smj.3322
Van Dijk, N., Casiraghi, S., & Gutwirth, S. (2021). The ‘Ethification’ of ICT governance: Artificial intelligence and data protection in the Europe-an Union. Computer Law & Securi-ty Review, 43, 105597. https://doi.org/10.1016/j.clsr.2021.105597
Vedapradha, R., Hariharan, R., Praveenraj, D. D. W., Sudha, E., & Ashok, J. (2023). Talent acquisition-artificial intelligence to manage recruit-ment. In E3S Web of Conferences (Vol. 376, p. 05001). EDP Sciences.
Vrontis, D., Christofi, M., Pereira, V., Tarba, S., Makrides, A., & Trichina, E. (2022). Artificial intelligence, ro-botics, advanced technologies and human resource management: A systematic review. The Interna-tional Journal of Human Resource Management, 33(6), 1237–1266. https://doi.org/10.1080/09585192.2020.1871398
West, D. M. (2024). The Future of Work: Artificial Intelligence and Human Resource Development. Journal of Business Research, 112(4), 249-265.
Wirtz, J., & McInerney, C. (2021). Future of AI in HRM. Business Research, 25(3), 295-312.
Xie, X. Y., Zuo, Y. H., & Hu, Q. J. (2021). Human resources management in the digital era: A human-technology interaction lens. Man-agement World, 37(1), 200–216. https://doi.org/10.19744/j.cnki.11-1235/f.2021.0013
Yang, M., & Wang, P. (2024). The Trans-formative Role of Artificial Intelli-gence in Recruitment Process. In-ternational Journal of Artificial In-telligence Research, 15(3), 9-18.
Yarger, L., Cobb Payton, F., & Neupane, B. (2020). Algorithmic equity in the hiring of underrepresented IT job candidates. Online Information Re-view, 44(2), 383–395. https://doi.org/10.1108/OIR-10-2018-0334
Zabala, A., & Pascual, U. (2016). Bootstrap-ping Q methodology to improve the understanding of human per-spectives. PloS one, 11(2), e0148087.
Zaker Ul Oman, A., Siddiqua, A., & Noorain, R. (2024). Artificial intelli-gence and its ability to reduce re-cruitment bias. World Journal of Advanced Research and Reviews, 24(1), 551–564. https://doi.org/10.30574/wjarr.2024.24.1.3054
Zhang, J., & Li, S. (2024). Artificial Intelli-gence in Employee Recruitment: A Systematic Review. Human Re-source Management Journal, 9(1), 18-28.
Zhang, Y., Xu, Z., & Lin, H. (2023). Machine learning techniques in recruit-ment: Past, present, and future trends. Journal of Artificial Intelli-gence Research, 28(2), 356-379.
Zhao, F., & Wei, H. (2024). Employee re-cruitment in the digital era: The role of artificial intelligence. Jour-nal of Strategic HRM, 17(6), 78-89.
Zheng, C., & Yang, Q. (2023). Towards an AI-enabled talent acquisition pro-cess: Enhancing candidate selec-tion and organizational perfor-mance. Journal of Organizational Behavior, 41(5), 387-405.
Zhou, Y., & Liu, S. (2024). AI applications in recruitment and the implications for HR professionals. Advances in Human Resource Management, 7(1), 15-26.
Ziemba, E., & Sierżant, M. (2024). Recruit-ment and artificial intelligence: the human factor in the age of auto-mation. Management.