Efficiency of lean practices and blockchain combinations for green supplier integration improvements in sustainable development

被引:13
作者
Chen, Ping-Kuo [1 ]
机构
[1] Great Bay Univ, Inst Sci Res, Dongguan, Peoples R China
基金
中国国家自然科学基金;
关键词
blockchain; green supplier integration; lean practices; resilience; sustainable development; CHAIN RESILIENCE; MANAGEMENT-PRACTICES; PERFORMANCE; KNOWLEDGE; ENTERPRISES; CAPABILITY; NETWORK; QUALITY;
D O I
10.1002/sd.2409
中图分类号
F0 [经济学]; F1 [世界各国经济概况、经济史、经济地理]; C [社会科学总论];
学科分类号
0201 ; 020105 ; 03 ; 0303 ;
摘要
Previous studies indicate that green supplier integration can promote supplier knowledge sharing as a core resource and capability to strengthen supply chain resilience and achieve green performance for sustainable development. However, due to the lack of an effective approach and technology to improve green supplier integration, it is difficult for suppliers to promote or even maintain sharing. Few studies note that green supplier integration through lean practices may efficiently promote supplier knowledge sharing, and blockchain combinations may produce efficiencies in maintaining supplier knowledge sharing intention. However, there are still disputes and a lack of deep verification. Thus, this study aims to explore the following questions. First, when green supplier integration is improved through lean practices, can it promote supplier knowledge sharing and further strengthen supply chain resilience and green performance? Second, to what extent do blockchain combinations moderate the relationship between supplier knowledge sharing and supply chain resilience and why? Based on the natural resource-based view and knowledge-based view, this study builds a theoretical framework and verifies it using PLS-SEM based on 214 Chinese manufacturers. The results of our analysis show that suppliers' knowledge sharing with manufacturers can certainly be promoted when lean practices are adopted to improve green supplier integration. In addition, blockchain combinations can certainly maintain supplier knowledge sharing intention and ensure that supply chain resilience related to prevention is continuously strengthened. In sum, our findings make useful contributions to the literature on the efficiencies of lean practices and blockchain combinations in the context of green supplier integration.
引用
收藏
页码:555 / 571
页数:17
相关论文
共 99 条
[31]   Supply Chain Disruption Risk Management with Blockchain: A Dynamic Literature Review [J].
Etemadi, Niloofar ;
Borbon-Galvez, Yari ;
Strozzi, Fernanda ;
Etemadi, Tahereh .
INFORMATION, 2021, 12 (02) :1-25
[32]   EVALUATING STRUCTURAL EQUATION MODELS WITH UNOBSERVABLE VARIABLES AND MEASUREMENT ERROR [J].
FORNELL, C ;
LARCKER, DF .
JOURNAL OF MARKETING RESEARCH, 1981, 18 (01) :39-50
[33]   Applying the green Embedded lean production model in developing countries: A case study of china [J].
Fu, Xiaoxi ;
Guo, Mengzhen ;
Niu Zhanwen .
ENVIRONMENTAL DEVELOPMENT, 2017, 24 :22-35
[34]  
Furlanello C., 2017, ARXIV
[35]   Good problem solvers? Leveraging knowledge sharing mechanisms and management support [J].
Galeazzo, Ambra ;
Furlan, Andrea .
JOURNAL OF KNOWLEDGE MANAGEMENT, 2019, 23 (06) :1017-1038
[36]   Evaluating the role of social capital, tacit knowledge sharing, knowledge quality and reciprocity in determining innovation capability of an organization [J].
Ganguly, Anirban ;
Talukdar, Asim ;
Chatterjee, Debdeep .
JOURNAL OF KNOWLEDGE MANAGEMENT, 2019, 23 (06) :1105-1135
[37]   A Reference Architecture for Blockchain-Based Crowdsourcing Platforms [J].
Gong, Yiwei ;
van Engelenburg, Selinde ;
Janssen, Marijn .
JOURNAL OF THEORETICAL AND APPLIED ELECTRONIC COMMERCE RESEARCH, 2021, 16 (04) :937-958
[38]   Prospering in dynamically-competitive environments: Organizational capability as knowledge integration [J].
Grant, RM .
ORGANIZATION SCIENCE, 1996, 7 (04) :375-387
[39]  
Hair J. F., 2021, A primer on partial least squares structural equation modeling (PLS-SEM), V3rd, DOI DOI 10.15358/9783800653614
[40]   Log-flock: A blockchain-enabled platform for digital asset valuation and risk assessment in E-commerce logistics financing [J].
Harish, Arjun Rachana ;
Liu, X. L. ;
Zhong, Ray Y. ;
Huang, George Q. .
COMPUTERS & INDUSTRIAL ENGINEERING, 2021, 151