Title: Modelling the causal relationship between justice and citizenship behaviours: an Indian perspective

Authors: Pooja Garg; Renu Rastogi; Parul Malik

Addresses: Department of Humanities and Social Sciences, Indian Institute of Technology Roorkee, Roorkee-247667, Uttarakhand, India ' Department of Humanities and Social Sciences, Indian Institute of Technology Roorkee, Roorkee-247667, Uttarakhand, India ' Department of Humanities and Social Sciences, Indian Institute of Technology Roorkee, Roorkee-247667, Uttarakhand, India

Abstract: This study empirically investigates the nexus between organisational justice and organisational citizenship behaviour among employees working in Indian automobile industries. The present study results affirm that citizenship behaviour is determined by the perceptions, which employees hold about justice in their organisation. The study data were collected from 200 employees working in automobile industries in India using convenience sampling method. The collected data were subjected to exploratory factor analysis and further confirmatory factor analysis (CFA) was utilised to confirm the factorial structure of the study constructs. Finally, structural equation modelling (SEM) was conducted to test the study hypotheses. The study results revealed a positive influence of perceived organisational justice factors on citizenship behaviours. In addition, the analysis of the data indicated the emergence of another dimension of justice perception, which was labelled as informational justice. The findings asserted that employees justice perceptions significantly augment their citizenship behaviours and lubricate the social fabric of the organisation leading to effectiveness.

Keywords: organisational justice; organisational citizenship behaviours; informational justice; automobile sector; India.

DOI: 10.1504/IJICBM.2019.096923

International Journal of Indian Culture and Business Management, 2019 Vol.18 No.1, pp.59 - 84

Received: 07 Sep 2017
Accepted: 12 May 2018

Published online: 29 Nov 2018 *

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