Employees' Response to Corporate Social Responsibility: An Application of a Non Linear Mixture REBUS Approach

Omer Farooq, Dwight Merunka, Pierre Valette-Florence

Research output: Chapter in Book/Report/Conference proceedingChapter

12 Citations (Scopus)

Abstract

We examine the effect of perceived corporate social responsibility (CSR) on employees' affective organizational commitment through the mediation of organizational trust and organizational identification. In so doing, the paper advances current understanding by positing a curvilinear relationship between CSR and organizational trust. We further suggest that employees use different processes to develop commitment to their companies' CSR initiatives. The test of the research model relies on data collected from 378 employees in South Asia.We used REBUS-PLS algorithm and identified three homogeneous employee groups that can be further differentiated in terms of work-related attitudes and behaviors.

Original languageEnglish
Title of host publicationNew Perspectives in Partial Least Squares and Related Method
Pages257-268
Number of pages12
DOIs
Publication statusPublished - 2013
Externally publishedYes

Publication series

NameSpringer Proceedings in Mathematics and Statistics
Volume56
ISSN (Print)2194-1009
ISSN (Electronic)2194-1017

Keywords

  • Corporate social responsibility
  • Non-linear path modeling
  • Partial least squares path modeling
  • REBUS-PLS
  • Social exchange
  • Social identity

ASJC Scopus subject areas

  • Mathematics(all)

Fingerprint

Dive into the research topics of 'Employees' Response to Corporate Social Responsibility: An Application of a Non Linear Mixture REBUS Approach'. Together they form a unique fingerprint.

Cite this