Title: A content analysis approach toward the human capital components: the state-of-the-art

Authors: Kosar Roshani; Zahra Mojallal; Mohammad Saleh Owlia

Addresses: Faculty of Industrial Engineering, Yazd University, Daneshgah Blvd., Yazd, Iran ' Faculty of Industrial Engineering, Yazd University, Daneshgah Blvd., Yazd, Iran ' Faculty of Industrial Engineering, Yazd University, Daneshgah Blvd., Yazd, Iran

Abstract: This study involves a structured review of peer-reviewed articles in the domain of intellectual capital categorisation, and in particular human capital (HC). The aim of this paper is to provide a framework of all the components that have so far been recognised as HC components. Sixty-five models were identified in the HC field (as a part of intellectual capital or independently), and the timeline of these studies was drawn accordingly. To achieve the study purpose, the content analysis method has been used on the qualitative data available in the models and a HC conceptual model was developed. Through this model, the main dimensions and components of HC were introduced. In many cases, the identification of HC components is difficult and some components may be missed. This paper provides a comprehensive and applicable list for any industry or organisation through identifying all value drivers and HC components.

Keywords: intellectual capital; human capital frameworks; systematic literature review; content analysis; qualitative data analysis; conceptual model.

DOI: 10.1504/IJMOM.2020.112373

International Journal of Modelling in Operations Management, 2020 Vol.8 No.2, pp.127 - 160

Received: 16 Aug 2019
Accepted: 29 Dec 2019
Published online: 13 Jan 2021 *

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