Causal modelling between human capital and firm performance indicators: an IT industries' perspective

Chandra Sekhar, Manoj Patwardhan and Vishal Vyas

International Journal of Learning and Intellectual Capital, 2017, vol. 14, issue 3, 277-294

Abstract: In a knowledge-based economy, Human Capital (HC) is the most important asset. It represents knowledge, skills, experience and capabilities of the employees. The present study utilised standardised scale of HC. Simultaneously, the firm performance scale was adapted from previous researches of respective domains. Database was accumulated from the IT firms that deal in the software development and integration, consultancy, maintenance services to banking industries, manufacturing and other domains of leading national and multi-national IT firms operating in India. The measurement model is a Confirmatory Factor Analysis. Reliability of the construct was reported under acceptable range, and the regression weights were significant. All observed variables loaded to their corresponding first-order construct. In the end, causal relations were analysed through DEMATEL (Decision-Making and Trial Evaluation Laboratory) methodology. Direct-relation matrix is obtained for all the criteria of HC and firm performance and finally, the degree of impact graph is obtained.

Keywords: confirmatory factor analysis; DEMATEL; employees; firm performance; human capital. (search for similar items in EconPapers)
Date: 2017
References: Add references at CitEc
Citations:

Downloads: (external link)
http://www.inderscience.com/link.php?id=86394 (text/html)
Access to full text is restricted to subscribers.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:ids:ijlica:v:14:y:2017:i:3:p:277-294

Access Statistics for this article

More articles in International Journal of Learning and Intellectual Capital from Inderscience Enterprises Ltd
Bibliographic data for series maintained by Sarah Parker ().