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  1. Applicants’ Fairness Perceptions of Algorithm-Driven Hiring Procedures.Maude Lavanchy, Patrick Reichert, Jayanth Narayanan & Krishna Savani - forthcoming - Journal of Business Ethics:1-26.
    Despite the rapid adoption of technology in human resource departments, there is little empirical work that examines the potential challenges of algorithmic decision-making in the recruitment process. In this paper, we take the perspective of job applicants and examine how they perceive the use of algorithms in selection and recruitment. Across four studies on Amazon Mechanical Turk, we show that people in the role of a job applicant perceive algorithm-driven recruitment processes as less fair compared to human only or algorithm-assisted (...)
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  • Exclusive talent management and its consequences: a review of literature. [REVIEW]Rajneet Bhatia & Papori Baruah - 2020 - Asian Journal of Business Ethics 9 (2):193-209.
    The aim of this paper is twofold, i.e. first to explore the ethical ambiguity arising out of exclusive approach to talent management practices and second to take into consideration the employees’ reaction of such practices. Workforce discrimination or segmentation may be feasible from the point of view of cost-benefit, but it imposes serious implications on the fairness perceived by employees. The paper involves extensive use of existing literature which comprises of journals, books, published reports, articles, etc. from various sources that (...)
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