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

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New Perspectives in Partial Least Squares and Related Methods

Part of the book series: Springer Proceedings in Mathematics & Statistics ((PROMS,volume 56))

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.

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Author information

Authors and Affiliations

  1. EUROMED, Marseilles, France

    Omer Farooq

  2. IAE and Cergam, University Aix-Marseille, Aix-Marseille, France

    Dwight Merunka

  3. EUROMED Marseilles School of Management, Marseille, France

    Dwight Merunka

  4. IAE, Grenoble, France

    Pierre Valette-Florence

Authors
  1. Omer Farooq
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  2. Dwight Merunka
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  3. Pierre Valette-Florence
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Corresponding author

Correspondence to Omer Farooq .

Editor information

Editors and Affiliations

  1. School of Behavioral & Brain Sciences, The University of Texas at Dallas, Richardson, Texas, USA

    Herve Abdi

  2. Department of Decision and Information Systems, University of Houston, Houston, Texas, USA

    Wynne W. Chin

  3. ESSEC Business School of Paris, Cergy-Pontoise Cedex, France

    Vincenzo Esposito Vinzi

  4. CNAM, Paris, USA

    Giorgio Russolillo

  5. Rouen Business School, Rouen, France

    Laura Trinchera

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Farooq, O., Merunka, D., Valette-Florence, P. (2013). Employees’ Response to Corporate Social Responsibility: An Application of a Non Linear Mixture REBUS Approach. In: Abdi, H., Chin, W., Esposito Vinzi, V., Russolillo, G., Trinchera, L. (eds) New Perspectives in Partial Least Squares and Related Methods. Springer Proceedings in Mathematics & Statistics, vol 56. Springer, New York, NY. https://doi.org/10.1007/978-1-4614-8283-3_18

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