Abstract
Human capital constitutes an important and essential asset in any organization. Identifying and evaluating various human capital indicators or assessors is a multi-attribute decision making problem (MADM) which includes both qualitative and quantitative factors and therefore an appropriate MADM technique is required for proper evaluation and assessment of these factors or attributes. This study aims at defining a methodology based on Delphi method as well as Fuzzy Analytic Hierarchy Process (FAHP) is proposed to prioritize various human capital indicators associated with the five main attributes i.e. Talent, Integration, enabling a performance-based culture/climate, capability and leadership. The findings showed that in context with the case problem, Employees satisfaction with advancement opportunities, Internal relationship index, Employee skills, Creating results by using knowledge, Percentage of employees with access to appropriate training and development opportunities are the most important indicators for the HC in an Indian organization.
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Aggarwal, R. (2014). Identifying and Prioritizing Human Capital Measurement Indicators for Personnel Selection Using Fuzzy MADM. In: Pant, M., Deep, K., Nagar, A., Bansal, J. (eds) Proceedings of the Third International Conference on Soft Computing for Problem Solving. Advances in Intelligent Systems and Computing, vol 258. Springer, New Delhi. https://doi.org/10.1007/978-81-322-1771-8_37
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DOI: https://doi.org/10.1007/978-81-322-1771-8_37
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