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作者:

Wang, Jing (Wang, Jing.) | Dai, Jun (Dai, Jun.)

收录:

SSCI EI Scopus SCIE

摘要:

Purpose - The purpose of this paper is to contribute significantly to the empirical investigations related to the impact of sustainable supply chain management (SSCM) practices on performance in Chinese firms. The paper also aims to theorize and empirically assess a comprehensive SSCM practices and performance model. The model incorporates two aspects of SSCM practices: internal and external management, and analyses the impact on corporate sustainability performance from all dimensions. Design/methodology/approach - This paper develops a conceptual model to investigate the impact of SSCM practices on the firm performance. Based on the data of 172 Chinese firms, this paper analyzes the impact of SSCM practices on firm economic performance, environmental performance, and social performance for each dimension by using PLS structural equation methods. Findings - The results show that firm's internal SSCM practices have a positive impact on firm's environmental performance and social performance. Moreover, environmental performance and social performance are positively related to economic performance. Originality/value - A comprehensive SSCM practices performance model is proposed and empirically assessed for Chinese firms. The results of this investigation support the hypotheses that SSCM practices are environmentally and socially necessary and are favorable for business. A series of approach and implications of SSCM practices is recommended.

关键词:

China Emerging economies Firm performance Sustainable operations Sustainable supply chain management

作者机构:

  • [ 1 ] [Wang, Jing]Beijing Technol & Business Univ, Sch Business, Beijing, Peoples R China
  • [ 2 ] [Dai, Jun]Beijing Univ Technol, Coll Appl Sci, Beijing, Peoples R China

通讯作者信息:

  • [Wang, Jing]Beijing Technol & Business Univ, Sch Business, Beijing, Peoples R China

电子邮件地址:

查看成果更多字段

相关关键词:

来源 :

INDUSTRIAL MANAGEMENT & DATA SYSTEMS

ISSN: 0263-5577

年份: 2018

期: 1

卷: 118

页码: 2-21

5 . 5 0 0

JCR@2022

ESI学科: ENGINEERING;

ESI高被引阀值:76

JCR分区:1

被引次数:

WoS核心集被引频次: 98

SCOPUS被引频次: 115

ESI高被引论文在榜: 0 展开所有

万方被引频次:

中文被引频次:

近30日浏览量: 3

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