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OCB-E among Chinese employees of different contract types

Shuang Ren (Deakin Business School, Deakin University, Melbourne, Australia)
Guiyao Tang (School of Management, Shandong University, Jinan, China)
Andrea Kim (SKK Business School, Sungkyunkwan University, Seoul, Republic of Korea)

Employee Relations

ISSN: 0142-5455

Article publication date: 24 March 2020

Issue publication date: 15 March 2022

625

Abstract

Purpose

Drawing on a motivational model of proactive behavior, this study theorizes that employment status, reflective moral attentiveness (RMA), and organization-based self-esteem (OBSE) constitute the can-do, reason-to, and energized-to motivational states, which interact to induce organizational citizenship behavior toward the environment (OCB-E).

Design/methodology/approach

The authors conducted random coefficient modeling (RCM) analysis with a multisource, time-lagged data set collected from 235 employees in Chinese firms.

Findings

This RCM analysis found that more OCB-E resulted from standard employees with higher levels of RMA and OBSE.

Originality/value

The value of this research lies in understanding of the antecedents of green behavior at the individual level by identifying specific motivational states and highlighting the coexistence of motivational states in predicting OCB-E. These findings provide new insight into the theory of developing and managing green OCB performers in today's workplace characterized by workforce mixing.

Keywords

Acknowledgements

Conflict of interest: The authors declare that they have no conflict of interest.We wish to acknowledge the assistance of Jinhee Moon in data analysis.This research was supported by the National Natural Science Foundation of China, Project No. 71872102.

Citation

Ren, S., Tang, G. and Kim, A. (2022), "OCB-E among Chinese employees of different contract types", Employee Relations, Vol. 44 No. 3, pp. 609-628. https://doi.org/10.1108/ER-01-2019-0067

Publisher

:

Emerald Publishing Limited

Copyright © 2020, Emerald Publishing Limited

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