CSR and technology companies: A study on its implementation, integration and effects on the competitiveness of companies

Juan Andres Bernal-Conesa, Carmen de Nieves-Nieto, Antonio Briones-Peñalver

Abstract


Purpose: In this paper, a structural equation model is presented in order to explain the motivations of implementing Corporate Social Responsibility (CSR) in Spanish technology companies and its linkage with others standardized management systems before CSR implementation. It also examines whether CSR influences the competitiveness of these companies.

Design/methodology/approach: The study was conducted in companies located in Spanish Science and Technology Parks. For this study, a survey was sent and structural equation model was used.

Findings and Originality/value: Model results show that there is a positive, direct and statistically significant relationship between the motivations, previous management systems, implementation of CSR and the real integration of CSR in the organization.

Research limitations/implications: Limitations are determined by the technique used for the proposed model: structural equations, which assume linearity of the relationship between latent variables.

Practical implications: Companies can use the results of this study as a foothold to enhance the integration of CSR based on previous management systems and take advantage of synergies between them, since the integration of CSR has a direct relationship with the competitiveness of the company.

Originality/value: The link between the motivations of CSR, CSR actions and their integration in technology companies are reliably and empirically demonstrated.


Keywords


Corporate Social Responsibility, motivation, technology companies, integration, structure equation modelling

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DOI: http://dx.doi.org/10.3926/ic.721


Licencia de Creative Commons 

This work is licensed under a Creative Commons Attribution 4.0 International License

Intangible Capital, 2004-2019

Online ISSN: 1697-9818; Print ISSN: 2014-3214; DL: B-33375-2004

Publisher: OmniaScience