References
- Aggerholm, H., Andersen, S., & Thomsen, C. (2011). Conceptualising employer branding in sustainable organisations. Corporate Communications: An International Journal, 16, 105–123.
https://doi.org/10.1108/13563281111141642 - Armstrong, M. (2002). Zarządzanie zasobami ludzkimi [Human resource management]. Oficyna Ekonomiczna.
- Bacon, N. (2007). The Oxford handbook of human resource management (P. Boxall, J. Purcell, & P. Wright, Eds.). British Journal of Industrial Relations, 45, 858–859.
https://doi.org/10.1111/j.1467-8543.2007.00651.x - Baker, N. (2010). Employee feedback technologies in the human performance system. Human Resource Development International, 13, 477–485.
https://doi.org/10.1080/13678868.2010.501994 - Berhil, S., Benlahmar, H., & Labani, N. (2020). A review paper on artificial intelligence at the service of human resources management. Indonesian Journal of Electrical Engineering and Computer Science, 18(1), 32–40.
https://doi.org/10.11591/ijeecs.v18.i1.pp 32-40 - Bharodiya, A., & Gonsai, A. (2020). An intelligent assistive algorithm for bone tumor detection from human X-Ray images based on binary Blob analysis. International Journal of Information Technology, 14, 1–7.
https://doi.org/10.1007/s41870-020-00539-0 - Bujold, A., Roberge-Maltais, I., Parent-Rocheleau, X., Boasen, J., Sénécal, S., & Léger, P.-M. (2023). Responsible artificial intelligence in human resources management: a review of the empirical literature. AI and Ethics.
https://doi.org/10.1007/s43681-023-00325-1 - Chen, Z. (2023). Ethics and discrimination in artificial intelligence-enabled recruitment practices. Humanities and Social Sciences Communications, 10(1), 567.
https://doi.org/10.1057/s41599-023-02079-x - Cioffi, R., Travaglioni, M., Piscitelli, G., Petrillo, A., & De Felice, F. (2020). Artificial Intelligence and Machine Learning Applications in Smart Production: Progress, Trends, and Directions. Sustainability, 12(2), 492.
https://doi.org/10.3390/su12020492 - Czakon, W. (2011). Metodyka systematycznego przeglądu literatury [Methodology of systematic literature review]. Przegląd Organizacji, 3, 57–61.
- Czakon, W., Smyczek, S., Niemczyk, J., Dyduch, W., Stańczyk-Hugiet, E., Stanczyk, S., Czernek-Marszałek, K., Wachowicz, T., Struzyna, J., Klimas, P., Swiatowiec-Szczepanska, J., Sułkowski, Ł., Gondek, A., & Mazur, K. (2015). Podstawy metodologii badań w naukach o zarządzaniu [Fundamentals of research methodology in management sciences].
- Denyer, D., & Tranfield, D. (2009). Producing a systematic review. In D. Buchanan & A. Bryman (Eds.), The Sage Handbook of Organizational Research Methods (pp. 671–687). Sage Publications Ltd.
- Elo, S., Kääriäinen, M., Kanste, O., Pölkki, T., Päätalo, K., & Kyngäs, H. (2014). Qualitative Content Analysis: A Focus on Trustworthiness. Sage Open, 4.
https://doi.org/10.1177/2158244014522633 - Esteva, A., & Topol, E. (2019). Can skin cancer diagnosis be transformed by AI? The Lancet, 394, 1795.
https://doi.org/10.1016/S0140-6736(19)32726-6 - Fenwick, A., & Molnar, G. (2022). The importance of humanizing AI: using a behavioral lens to bridge the gaps between humans and machines. Discover Artificial Intelligence, 2(1), 14.
https://doi.org/10.1007/s44163-022-00030-8 - Fjelland, R. (2020). Why general artificial intelligence will not be realized. Humanities and Social Sciences Communications, 7(1), 10.
https://doi.org/10.1057/s41599-020-0494-4 - Ganiyu, I., Oyedele, O., & Derera, E. (2021). Disruptions of the Fourth Industrial Revolution: Implication for Work-Life Balance Strategies (pp. 189–199).
https://doi.org/10.4018/978-1-7998-3347-5.ch013 - Gînguță, A., Ștefea, P., Noja, G. G., & Munteanu, V. P. (2023). Ethical Impacts, Risks and Challenges of Artificial Intelligence Technologies in Business Consulting: A new modelling approach based on structural equations. Electronics, 12(6), 1462.
https://doi.org/10.3390/electronics12061462 - Glikson, E., & Woolley, A. (2020). Human trust in artificial intelligence: Review of empirical research. Academy of Management Annals (in press). The Academy of Management Annals.
- Haenlein, M., Huang, M.-H., & Kaplan, A. (2022). Guest Editorial: Business Ethics in the Era of Artificial Intelligence. Journal of Business Ethics, 178(4), 867–869.
https://doi.org/10.1007/s10551-022-05060-x - Hall, E. T. (1976). Beyond Culture. Knopf Doubleday Publishing Group.
- Jafari, N., Azarian, M., & Yu, H. (2022). Moving from Industry 4.0 to Industry 5.0: What are the implications for smart logistics? Logistics, 6(2), 26.
https://doi.org/10.3390/logistics6020026 - Jagger, S., & Siala, H. (2015). It’s All in the Game: A 3D learning model for business ethics. Journal of Business Ethics, 137.
https://doi.org/10.1007/s10551-015-2557-9 - Jiaping, Y. (2022). Enterprise Human Resource Management Model by Artificial Intelligence Digital Technology. Computational Intelligence and Neuroscience, 2022, 1–9.
https://doi.org/10.1155/2022/6186811 - Joiner, I. (2018). Artificial Intelligence (pp. 1–22).
https://doi.org/10.1016/B978-0-08-102253-5.00002-2 - Kaur, M., & Gandolfi, F. (2023). Artificial Intelligence in Human Resource Management - Challenges and Future Research Recommendations. 24, 382–393.
https://doi.org/10.24818/RMCI.2023.3.382 - Kepplinger, H. M. (1989). Content analysis and reception analysis. American Behavioral Scientist, 33(2), 175–182.
https://doi.org/10.1177/0002764289033002010 - Kiran, V., Shanmugam, V., Raju, R., Kanagasabapathy, J., & Kannan, R. R. (2022). Impact of human capital management on organizational performance with the mediation effect of human resource analytics. International Journal of Professional Business Review, 7, 1–27.
https://doi.org/10.26668/businessreview/2022.v7i3.0667 - Köchling, A., Wehner, M. C., & Warkocz, J. (2023). Can I show my skills? Affective responses to artificial intelligence in the recruitment process. Review of Managerial Science, 17(6), 2109–2138.
https://doi.org/10.1007/s11846-021-00514-4 - Lambrecht, A., & Tucker, C. (2019). Algorithmic bias? An empirical study of apparent gender-based discrimination in the display of STEM career ads. Management Science, 65(7), 2966–2981.
https://doi.org/10.1287/mnsc.2018.3093 - Listwan, T. (Ed.). (2002). Zarządzanie kadrami [Personnel management]. Wydawnictwo C.H. Beck.
- Luo, B. N., Sun, T., Lin, C. H. (Veronica), Luo, D., Qin, G., & Pan, J. (2021). The human resource architecture model: A twenty-year review and future research directions. The International Journal of Human Resource Management, 32(2), 241–278.
https://doi.org/10.1080/09585192.2020.1787486 - Makieła, Z., Stuss, M. M., & Borowiecki, R. (2021). Sustainability, Technology and Innovation 4.0. Routledge.
https://doi.org/10.4324/9781003184065 - Mantzaris, K., & Myloni, B. (2023). Human resources under technological transformation: what HR professionals believe in an international scale. Employee Relations: The International Journal, 45(1), 172–189.
https://doi.org/10.1108/ER-06-2021-0244 - Mathis, J. (2018). Innovations are coming to the human resource. The Journal of Private Equity, 21(4), 14–17.
https://doi.org/10.3905/jpe.2018.21.4.014 - Miles, R. E., & Rosenberg, H. R. (1982). The human resources approach to management: Second-generation issues. Organizational Dynamics, 10(3), 26–41.
https://doi.org/10.1016/0090-2616(82)90034-1 - Obeidat, S. M. (2016). The link between e-HRM use and HRM effectiveness: an empirical study. Personnel Review, 45(6), 1281–1301.
https://doi.org/10.1108/PR-04-2015-0111 - Pocztowski, A. (2007). Zarządzanie zasobami ludzkimi: strategie, procesy, metody [Human resource management: strategies, processes, methods]. Polskie Wydawnictwo Ekonomiczne.
- Renkema, M., Meijerink, J., & Bondarouk, T. (2016). Advancing multilevel thinking and methods in HRM research. Journal of Organizational Effectiveness: People and Performance, 3(2), 204–218.
https://doi.org/10.1108/JOEPP-03-2016-0027 - Rowley, J., & Slack, F. (2004). Conducting a literature review. Management Research News, 27(6), 31–39.
https://doi.org/10.1108/01409170410784185 - Sabharwal, A., & Selman, B. (2011). S. Russell, P. Norvig, Artificial Intelligence: A modern approach, third edition. Artificial Intelligence, 175, 935–937.
https://doi.org/10.1016/j.artint.2011.01.005 - Sadok, H., Sakka, F., & El Maknouzi, M. E. H. (2022). Artificial intelligence and bank credit analysis: A review. Cogent Economics & Finance, 10(1).
https://doi.org/10.1080/23322039.2021.2023262 - Saghiri, A. M., Vahidipour, S. M., Jabbarpour, M. R., Sookhak, M., & Forestiero, A. (2022). A Survey of Artificial Intelligence Challenges: Analyzing the definitions, relationships, and evolutions. Applied Sciences, 12(8), 4054.
https://doi.org/10.3390/app12084054 - Sarker, I. H. (2022). AI-Based Modeling: Techniques, Applications and Research Issues Towards Automation, Intelligent and Smart Systems. SN Computer Science, 3(2), 158.
https://doi.org/10.1007/s42979-022-01043-x - Shaw, J., Rudzicz, F., Jamieson, T., & Goldfarb, A. (2019). Artificial Intelligence and the Implementation Challenge. Journal of Medical Internet Research, 21(7), e13659.
https://doi.org/10.2196/13659 - Stańczyk, I., & Stuss, M. M. (2021). Human resource management 4.0. In Sustainability, Technology and Innovation 4.0 (pp. 193–212). Routledge.
https://doi.org/10.4324/9781003184065-15 - Stuss, M. M. (2021). Zarządzanie talentami. Koncepcje, modele i praktyki [Talent management: concepts, models, and practices]. Wydawnictwo Uniwersytetu Jagiellońskiego.
- Stuss, M. M. (2023). The concept of HR 4.0: A literature review. International Entrepreneurship Review, 9(3), 109–121.
https://doi.org/10.15678/IER.2023.0903.07 - Tambe, P., Cappelli, P., & Yakubovich, V. (2019). Artificial Intelligence in Human Resources Management: challenges and a path forward. California Management Review, 61(4), 15–42.
https://doi.org/10.1177/0008125619867910 - Ulrich, D., Allen, J., Brockbank, W., Younger, J., & Nyman, M. (2010). HR Transformation: Building Human Resources from the outside in. NHRD Network Journal, 3, 102.
https://doi.org/10.1177/0974173920100421 - Ulrich, D., & Beatty, D. (2001). From Partners to Players: extending the HR playing field. Human Resource Management, 40.
https://doi.org/10.1002/hrm.1020 - Ulrich, D., & Grochowski, J. (2018). Building a world class HR department. Strategic HR Review, 17.
https://doi.org/10.1108/SHR-05-2018-0046 - Vemuri, V. (2014). The Second Machine Age: work, progress, and prosperity in a time of brilliant technologies, by Erik Brynjolfsson and Andrew McAfee. Journal of Information Technology Case and Application Research, 16, 112–115.
https://doi.org/10.1080/15228053.2014.943094 - Wamba-Taguimdje, S. L., Fosso Wamba, S., Jean Robert, K. K., & Tchatchouang, C. E. (2020). Influence of Artificial Intelligence (AI) on Firm Performance: The Business Value of AI-based Transformation Projects.
- Wilkens, U. (2020). Artificial intelligence in the workplace – A double-edged sword. The International Journal of Information and Learning Technology, ahead-of-p.
https://doi.org/10.1108/IJILT-02-2020-0022 - Wirtky, T., Laumer, S., Eckhardt, A., & Weitzel, T. (2016). On the untapped value of e-HRM – a literature review. Communications of the Association for Information Systems, 38, 20–83.
https://doi.org/10.17705/1CAIS.03802 - Yigitcanlar, T., Desouza, K., Butler, L., & Roozkhosh, F. (2020). Contributions and Risks of Artificial Intelligence (AI) in Building Smarter Cities: Insights from a systematic review of the literature. Energies, 13(6), 1473.
https://doi.org/10.3390/en13061473