Optimize your leadership pipeline: leveraging HR analytics for C-suite executive development

Guorong Zhu, Lan Wang and Douglas T. Hall

International Journal of Manpower, 2023, vol. 44, issue 7, 1328-1361

Abstract: Purpose - This paper employs human resources (HR) analytics to investigate the pathways through which high-potential managers ascend to C-suite positions, and how different developmental paths influence turnover among executives. Design/methodology/approach - By combining job analysis and competency assessment with sequence analysis, the authors utilize HR analytics to analyze the work experiences of 53 general managers spanning 57 years (n = 2,742), encompassing various roles, job requirements, and 20 executive competencies attached to over 1,000 positions. Findings - This study's findings reveal three distinct developmental paths that lead to the C-suite, characterized by differences in the content, context, timing, and complexity of work experience. Furthermore, the authors identify that a more complex developmental path tends to reinforce executives' competency in self-awareness while inhibiting their development of technical competency, ultimately resulting in reduced executive turnover. Originality/value - By employing HR analytics to analyze empirical data embedded in job and organizational contexts, this study sheds light on the critical role of timing and complexity of work experiences in executive development. It also offers practical implications for firms seeking to optimize their leadership pipeline and reduce executive turnover by leveraging HR analytics effectively.

Keywords: HR analytics; Executive development; Work experience; Executive turnover; Sequence analysis; Job analysis; Competency assessment (search for similar items in EconPapers)
Date: 2023
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Persistent link: https://EconPapers.repec.org/RePEc:eme:ijmpps:ijm-07-2022-0341

DOI: 10.1108/IJM-07-2022-0341

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