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Title The effects of socio-technical integration on sustainability practices: a supply chain perspective
ID_Doc 70597
Authors Shan, S; Shou, YY; Kang, MG; Park, Y
Title The effects of socio-technical integration on sustainability practices: a supply chain perspective
Year 2022
Published Industrial Management & Data Systems, 122, 2
DOI 10.1108/IMDS-05-2021-0295
Abstract Purpose This study aims to investigate sustainable supply chain management (SSCM) through the lens of socio-technical system (STS) theory. Specifically, it examines the individual and synergistic effects of social and technical integration on two main sustainability practices (i.e. sustainable production and sustainable sourcing). Supply chain uncertainty is further explored as a key environmental factor. Design/methodology/approach A moderated joint effects model was hypothesized. A sample of 759 manufacturing firms was used to test the proposed hypotheses by hierarchical linear regression. Findings The results show that both social and technical integration have positive effects on sustainable production and sustainable sourcing. Interestingly, social and technical integration have an enhancing synergistic effect on sustainable sourcing, which is further strengthened in high-uncertainty supply chains. Originality/value This study extends the application of STS theory in the SSCM setting. It enriches the sustainability literature by uncovering the impact of the interplay among the firm's social, technical and environmental systems on sustainable production and sourcing, and offers system-wide insights for sustainability management.
Author Keywords Sustainable production; Sustainable sourcing; Socio-technical system; Supply chain uncertainty; Sustainability; Moderated joint effect
Index Keywords Index Keywords
Document Type Other
Open Access Open Access
Source Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
EID WOS:000727925900001
WoS Category Computer Science, Interdisciplinary Applications; Engineering, Industrial
Research Area Computer Science; Engineering
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