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Extending social responsibility to small and medium-sized suppliers in supply chains: A fuzzy-set qualitative comparative analysis
- Source :
- Applied Soft Computing. 88:105899
- Publication Year :
- 2020
- Publisher :
- Elsevier BV, 2020.
-
Abstract
- Buying firms’ sales and reputation will be greatly damaged by any non-responsible behaviors on the part of suppliers, especially when those suppliers, like small and medium-sized enterprises (SMEs), have restricted resources and capabilities. To eradicate these risks, a growing number of buying firms have introduced socially responsible supplier development (SRSD). SRSD, including monitoring and evaluating suppliers, can provide them with incentives and assistance. Based on configuration theory and contingency theory, fuzzy-set qualitative comparative analysis (fsQCA) is adopted in this study to examine how SRSD practices adopted by buying firms, supply chain partnership, and market turbulence affect the corporate social responsibility (CSR) performance of their SME suppliers. We find that, as core factors, supplier monitoring, supplier assistance, and supply chain partnership can work together with peripheral conditions to achieve superior CSR performance. In addition, even at different levels of market turbulence, superior CSR performance can be realized through different causal configurations.
- Subjects :
- 0209 industrial biotechnology
Qualitative comparative analysis
Supply chain
media_common.quotation_subject
ComputerApplications_COMPUTERSINOTHERSYSTEMS
02 engineering and technology
Contingency theory
020901 industrial engineering & automation
Incentive
General partnership
0202 electrical engineering, electronic engineering, information engineering
Corporate social responsibility
020201 artificial intelligence & image processing
Business
Social responsibility
Software
Industrial organization
Reputation
media_common
Subjects
Details
- ISSN :
- 15684946
- Volume :
- 88
- Database :
- OpenAIRE
- Journal :
- Applied Soft Computing
- Accession number :
- edsair.doi...........7321512c9768a54e8b8886677355489c