Institutional structure of organization and employees’ pro-environmental behaviors: the mediating effect of employees’ organizational identification

结构方程建模 组织识别 鉴定(生物学) 独创性 价值(数学) 变量 多级模型 心理学 业务 知识管理 组织承诺 社会心理学 计算机科学 创造力 植物 生物 机器学习
作者
Lei Qi,Ji Li,Zhiqiang Pang,Bing Liu
出处
期刊:Employee Relations [Emerald (MCB UP)]
卷期号:46 (7): 1388-1405
标识
DOI:10.1108/er-10-2023-0518
摘要

Purpose The purpose of this study is to enrich the literature on employee relations with a new model focusing on the effect of institutional structure and that of employees’ organizational identification on the relationship between institutional structure in an organization and employees’ pro-environmental behaviors, which represents an alternative approach for understanding employees’ pro-environmental performance. Design/methodology/approach We collect multi-level and multi-source data from 52 four- or five-star hotels in China ( N = 963). For data analysis, we adopt the approach of multilevel structural equation modeling. Findings The results suggest that organizations’ green institutional structure (G-structure) can significantly influence employees’ organizational identification, which in turn can increase their pro-environmental performance. Originality/value We propose a new multi-level theoretical perspective to explain employees’ pro-environmental behaviors. While prior studies on the issue mainly consider only the effects of such micro-level variables as ability, motivation and personality, we focus on the effect of organizational institution and its interaction with micro-level variables so that we can evaluate the effect a commonly-studied contextual variable, i.e. green institutions, on the behaviors. Moreover, in this new theoretical model, we also take into account the effect of another insufficiently-tested micro-level variable, i.e. employees’ identification, which has not been considered as frequently as other micro-level variables in studying employees’ pro-environmental performance. Our results highlight the importance of all these variables and suggest a valuable alternative model for more comprehensive research of employees’ green performance.
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