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Paper Number
1167
Paper Type
Completed
Description
This study delves into the potential influence of Algorithmic Personnel Management (APM)-based systems on optimizing personnel management (PM) processes and their subsequent impact on personnel slack. Employing a multi-case study analysis, we probe the capabilities afforded by APM-based systems, with a keen focus on their potential effects on PM processes, personnel slack, and organizational outcomes. Our exploration intimates the possibility of APM-based systems augmenting talent acquisition, talent management, and performance management processes, aligning employee competencies with organizational opportunities, and fostering adaptability amidst tumultuous business landscapes. Furthermore, the study conjectures the metamorphosis of conventional personnel managerial roles within the APM-based systems context, accentuating the necessity for personnel managers to acclimate to strategic and analytical duties. This research endeavors to enrich the academic discourse on algorithmic personnel management, workforce optimization, and organizational outcomes, proffering pragmatic implications for organizations contemplating APM-based systems implementation and shedding light on prospective trajectories for future inquiries.
Recommended Citation
Kakkar, Ishan Prempradeep; Sharma, Mayank; and Krishnaswamy, Venkataraghavan, "Algorithmic Personnel Management: A Personnel Slack View" (2023). ICIS 2023 Proceedings. 13.
https://aisel.aisnet.org/icis2023/gov_strategy/gov_strategy/13
Algorithmic Personnel Management: A Personnel Slack View
This study delves into the potential influence of Algorithmic Personnel Management (APM)-based systems on optimizing personnel management (PM) processes and their subsequent impact on personnel slack. Employing a multi-case study analysis, we probe the capabilities afforded by APM-based systems, with a keen focus on their potential effects on PM processes, personnel slack, and organizational outcomes. Our exploration intimates the possibility of APM-based systems augmenting talent acquisition, talent management, and performance management processes, aligning employee competencies with organizational opportunities, and fostering adaptability amidst tumultuous business landscapes. Furthermore, the study conjectures the metamorphosis of conventional personnel managerial roles within the APM-based systems context, accentuating the necessity for personnel managers to acclimate to strategic and analytical duties. This research endeavors to enrich the academic discourse on algorithmic personnel management, workforce optimization, and organizational outcomes, proffering pragmatic implications for organizations contemplating APM-based systems implementation and shedding light on prospective trajectories for future inquiries.
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Comments
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