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在存在争议的行业领域通过企业社会责任提升环境绩效。

Promoting environmental performance through corporate social responsibility in controversial industry sectors.

作者信息

Channa Nisar Ahmed, Hussain Tahir, Casali Gian Luca, Dakhan Sarfraz Ahmed, Aisha Rabail

机构信息

Department of Business Administration, Sukkur IBA University, Sukkur, Sindh, Pakistan.

School of Management, Queensland University of Technology, Brisbane, Queensland, Australia.

出版信息

Environ Sci Pollut Res Int. 2021 May;28(18):23273-23286. doi: 10.1007/s11356-020-12326-2. Epub 2021 Jan 14.

DOI:10.1007/s11356-020-12326-2
PMID:33447970
Abstract

Using two theoretical lenses-social identity theory (SIT) and organizational citizenship behavior towards environment (OCBE)-the current study examines the impact of employee CSR perceptions on environmental performance via mediation of employee pro-environmental behavior and organizational citizenship behavior towards environment (OCBE) utilizing data from three controversial industry sectors (i.e., hotel, tobacco, oil, and gas). We conducted a multi-time survey (sample n = 282) of employees working in organizations operating in controversial industry sectors to test a serial mediation model. The collected data were analyzed through partial least square structural equation modeling (PLS-SEM) technique using Smart PLS 3.3.2. The findings suggest that employee CSR perception significantly influences environmental performance. Furthermore, the mediating effects of employee pro-environmental behavior and OCBE were also found statistically significant. Using theories of SIT and OCBE, this study is an attempt to unveil what is unknown about CSR perception and environmental performance relationships.

摘要

本研究运用社会认同理论(SIT)和组织公民环境行为(OCBE)这两个理论视角,利用来自三个有争议行业部门(即酒店、烟草、石油和天然气)的数据,通过员工亲环境行为和组织公民环境行为(OCBE)的中介作用,考察员工企业社会责任认知对环境绩效的影响。我们对在有争议行业部门运营的组织中工作的员工进行了多次调查(样本n = 282),以检验一个串行中介模型。使用Smart PLS 3.3.2,通过偏最小二乘结构方程建模(PLS-SEM)技术对收集到的数据进行分析。研究结果表明,员工企业社会责任认知显著影响环境绩效。此外,员工亲环境行为和OCBE的中介作用在统计上也具有显著性。本研究运用SIT和OCBE理论,试图揭示企业社会责任认知与环境绩效关系中未知的方面。

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