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

Omer Farooq; Dwight Merunka; Pierre Valette-Florence

doi:10.1007/978-1-4614-8283-3_18

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 proceeding › Chapter

17 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 language	English
Title of host publication	New Perspectives in Partial Least Squares and Related Method
Pages	257-268
Number of pages	12
DOIs	https://doi.org/10.1007/978-1-4614-8283-3_18
Publication status	Published - 2013
Externally published	Yes

Publication series

Name	Springer Proceedings in Mathematics and Statistics
Volume	56
ISSN (Print)	2194-1009
ISSN (Electronic)	2194-1017

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 12 Responsible Consumption and Production

Keywords

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

ASJC Scopus subject areas

General Mathematics

Access to Document

10.1007/978-1-4614-8283-3_18

Cite this

Employees' Response to Corporate Social Responsibility: An Application of a Non Linear Mixture REBUS Approach. / Farooq, Omer; Merunka, Dwight; Valette-Florence, Pierre.
New Perspectives in Partial Least Squares and Related Method. 2013. p. 257-268 (Springer Proceedings in Mathematics and Statistics; Vol. 56).

Research output: Chapter in Book/Report/Conference proceeding › Chapter

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AB - 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.

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KW - Non-linear path modeling

KW - Partial least squares path modeling

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KW - Social exchange

KW - Social identity

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M3 - Chapter

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T3 - Springer Proceedings in Mathematics and Statistics

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ER -

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

Abstract

Publication series

UN SDGs

Keywords

ASJC Scopus subject areas

Access to Document

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