Exploring the Ethical Dynamics of the Use of Artificial Intelligence (AI) in Hiring in Healthcare Organizations
References
- Al-Ali, A.A., Singh, S.K., Al-Nahyan, M., & Sohal, A.S. (2017). Change management through leadership: the mediating role of organizational culture. International Journal of Organizational Analysis, Vol. 25, Issue 4, 723-739.
- AlManei, M., Salonitis, K., & Tsinopoulos, C. (2018). A conceptual lean implementation framework based on change management theory. Procedia cirp, Vol. 72, 1160-1165.
- Armenakis, A., Brown, S., & Mehta, A. (2011). Organizational culture: Assessment and transformation. Journal of Change Management, Vol. 11, Issue 3, 305-328.
- Bawa, M.A. (2017). Employee motivation and productivity: a review of literature and implications for management practice. International Journal of Economics, Commerce and Management, Vol. 12, 662-673.
- Bott, G., & Tourish, D. (2016). The critical incident technique reappraised: Using essential incidents to illuminate organizational practices and build theory. Qualitative Research in Organizations and Management: An International Journal, Vol. 11, Issue 4, 276-300.
- Cohen, A., & Cohen, A. (2015). Beyond organizational justice: an integrative approach to organizational fairness. Fairness in the Workplace: A Global Perspective, 86-111.
- Cowgill, B. (2018). Bias and productivity in humans and algorithms: Theory and evidence from resume screening. Columbia Business School, Columbia University, 29.
- Daher, N. (2016). The relationships between organizational culture and organizational innovation. International Journal of Business & Public Administration, Vol. 13, Issue 2.
- Dastin, J. (2018). Amazon scraps secret AI recruiting tool that showed bias against women. In Ethics of data and analytics, 296-299. Auerbach Publications.
- Davis, P.J. (2006). Critical incident technique: a learning intervention for organizational problem-solving. Development and Learning in Organizations: An International Journal, Vol. 20, Issue 2, 13-16.
- Deshpande, K.V., Pan, S., & Foulds, J.R. (2020, July). Mitigating demographic Bias in AI-based resume filtering. In Adjunct publication of the 28th ACM conference on user modeling, adaptation and personalization, 268-275.
- Fernando, S., & Lawrence, S. (2014). A theoretical framework for CSR practices: Integrating legitimacy theory, stakeholder theory and institutional theory. Journal of Theoretical Accounting Research, Vol. 10, Issue 1, 149-178.
- Ferrell, O.C. (2016). A framework for understanding organizational ethics. In Business ethics: New challenges for business schools and corporate leaders, 15-29. Routledge.
- Hitt, M.A., Miller, C.C., Colella, A., & Triana, M. (2017). Organizational behavior. John Wiley & Sons.
- Hörisch, J., Freeman, R.E., & Schaltegger, S. (2014). Applying stakeholder theory in sustainability management: Links, similarities, dissimilarities, and a conceptual framework. Organization & Environment, Vol. 27, Issue 4, 328-346.
- Hunkenschroer, A.L., & Luetge, C. (2022). Ethics of AI-enabled recruiting and selection: A review and research agenda. Journal of Business Ethics, Vol. 178, Issue 4, 977-1007.
- Jones, T.M., Felps, W., & Bigley, G.A. (2007). Ethical theory and stakeholder-related decisions: The role of stakeholder culture. Academy of management review, Vol. 32, Issue 1, 137-155.
- Lacroux, A., & Martin-Lacroux, C. (2022). Should I trust the artificial intelligence to recruit? Recruiters’ perceptions and behavior when faced with algorithm-based recommendation systems during resume screening. Frontiers in Psychology, Vol. 13, 895997.
- Martinez, E. A., Beaulieu, N., Gibbons, R., Pronovost, P., & Wang, T. (2015). Organizational culture and performance. American economic review, Vol. 105, Issue 5, 331-335.
- Mujtaba, D.F., & Mahapatra, N.R. (2019, November). Ethical considerations in AI-based recruitment. In 2019 IEEE International Symposium on Technology and Society (ISTAS), 1-7. IEEE.
- Rajan, R., & Ganesan, R. (2017). A critical analysis of John P. Kotter’s change management framework. Asian Journal of Research in Business Economics and Management, Vol. 7, Issue 7, 181-203.
- Rainie. L., Anderson, M., McClain, C., Vogels, E., Gelles-Watnick, R. (2023, April 20). Pew Research Center, AI in Hiring and Evaluating Workers: What Americans Think. Available at: https://www.pewresearch.org/internet/2023/04/20/americans-views-on-use-ofai-in-hiring/.
- Romme, A.G.L. (2011). Organizational development interventions: An artifaction perspective. The Journal of Applied Behavioral Science, Vol. 47, Issue 1, 8-32.
- Scherer, M. (2019). Artificial Intelligence and legal decision-making: The wide open? Journal of international arbitration, Vol. 36, Issue 5.
- Walters, F.S. (2021). Ethics and fairness. In The Routledge Handbook of Language Testing, 563-577. Routledge.
- Wilfred, D. (2018). AI in recruitment. NHRD Network Journal, Vol. 11, Issue 2, 15-18
Language: English
Page range: 309 - 321
Published on: Dec 11, 2023
Published by: Nicolae Balcescu Land Forces Academy
In partnership with: Paradigm Publishing Services
Publication frequency: 4 times per year
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© 2023 Darrell Norman Burrell, Ian Mcandrew, published by Nicolae Balcescu Land Forces Academy
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.