Talent Management through Integration of Talent Value Chain and Human Capital Analytics Approaches

Authors: Wuttigrai Ngamsirijit

Abstract:

Talent management in today’s modern organizations has become data-driven due to a demand for objective human resource decision making and development of analytics technologies. HR managers have been faced with some obstacles in exploiting data and information to obtain their effective talent management decisions. These include process-based data and records; insufficient human capital-related measures and metrics; lack of capabilities in data modeling in strategic manners; and, time consuming to add up numbers and make decisions. This paper proposes a framework of talent management through integration of talent value chain and human capital analytics approaches. It encompasses key data, measures, and metrics regarding strategic talent management decisions along the organizational and talent value chain. Moreover, specific predictive and prescriptive models incorporating these data and information are recommended to help managers in understanding the state of talent, gaps in managing talent and the organization, and the ways to develop optimized talent strategies.    

Keywords: Decision making, human capital analytics, talent management, talent value chain.

Digital Object Identifier (DOI): doi.org/10.5281/zenodo.3299473

References:

[1] R. Silzer & B. E. Dowell, “Strategy-driven talent management: A leadership imperative,” San Francisco: John wiley & sons, 2009, pp. 73-122.
[2] A. McAfee, E. Brynjolfsson, T. H. Davenport, D. J. Patil & D. Barton, “Big data: the management revolution,” in Harvard business review, vol. 90, 2012, pp. 60-68.
[3] S. P. Dash & V. Agrawal, V., “Role of human capital management in economic value addition of large scale organizations: a literature review.” in International journal of financial management, vol. 2, no. 1, 2012, pp. 63-72.
[4] K. Van Veen, W. S. J. Geerlings, & R. Popping, “Generating job mobility patterns: using simulation techniques for the explanation of employees' organizational careers.”, 2001. s.n.
[5] M. M. Savino, A. Brun & A. Mazza, “Dynamic workforce allocation in a constrained flow shop with multi-agent system,” in Computers in industry, vol. 65, no. 6, 2014, pp. 967-975.