A review of machine learning applications in human resource management

Garg, Swati; Sinha, Shuchi; Kar, Arpan Kumar; Mani, Mauricio

doi:10.1108/ijppm-08-2020-0427

All Outputs (4)

Idiosyncratic deal seeking for personal brand verification (2025)
Journal Article
Garg, S., Sinha, S., & Anand, S. (in press). Idiosyncratic deal seeking for personal brand verification. International Journal of Manpower, https://doi.org/10.1108/ijm-08-2023-0483

Purpose
Grounded in social learning theory and conservation of resources theory, this study examines the link between witnessing co-workers’ idiosyncratic deals (i-deals) and task crafting, task crafting and task i-deals negotiation; and the route t... Read More about Idiosyncratic deal seeking for personal brand verification.

Getting the deal: a qualitative inquiry into the task and developmental i-deal obtainment process (2024)
Journal Article
Garg, S., & Sinha, S. (2024). Getting the deal: a qualitative inquiry into the task and developmental i-deal obtainment process. Employee Relations, 46(8), https://doi.org/10.1108/er-09-2023-0502

Purpose
Idiosyncratic deals, or i-deals, are customizations that employees make to their jobs with the consent of their organization. This study investigates how employees obtain their task and developmental (T&D) i-deals by using qualitative data o... Read More about Getting the deal: a qualitative inquiry into the task and developmental i-deal obtainment process.

Job crafting and idiosyncratic deals: Recognizing and responding to employee’s customization efforts (2022)
Journal Article
Garg, S., & Sinha, S. (2023). Job crafting and idiosyncratic deals: Recognizing and responding to employee’s customization efforts. Organizational Dynamics, 52(1), Article 100945. https://doi.org/10.1016/j.orgdyn.2022.100945

A review of machine learning applications in human resource management (2021)
Journal Article
Garg, S., Sinha, S., Kar, A. K., & Mani, M. (2022). A review of machine learning applications in human resource management. International Journal of Productivity and Performance Management, 71(5), 1590-1610. https://doi.org/10.1108/ijppm-08-2020-0427

Purpose – This paper reviews 105 Scopus-indexed articles to identify the degree, scope and purposes of machine learning (ML) adoption in the core functions of human resource management (HRM).
Design/methodology/approach – A semi-systematic approach... Read More about A review of machine learning applications in human resource management.