Knowledge Agora



Scientific Article details

Title Supply-chain sustainability barriers: An empirical assessment
ID_Doc 71384
Authors Movahedipour, M; Zeng, JQ; Yang, MK; Wu, XK
Title Supply-chain sustainability barriers: An empirical assessment
Year 2018
Published Human Systems Management, 37.0, 1
DOI 10.3233/HSM-17101
Abstract Sustainability draws increased supply-chain management (SCM) attention. This article analyzes critical barriers to the assessment, evaluation and attainment of sustainable supply-chain management (SSCM), assessed through criticalbarrier identification and qualitative data analysis. Namely a literature review of 188 articles, published between the years 2010 and 2016, helps identify the most influential barriers. The qualitative data analysis pertains to fifteen such barriers, identified in the literature review and through our collaboration with other academic researchers and industrial specialists. Notably, the study's qualitative data analysis, interpretive structural modeling (ISM), unconceals the mutual impact among the most prominent SSCM barriers. The inadequacy of information-technology implementation is recognized as the most significant barrier, which could prevent business enterprises and other organizations from implementing a SSCM framework, with intentionality the sustainability in their business. The article concludes with suggestions for future research directions.
Author Keywords MICMAC; ISM; sustainability; supply-chain network
Index Keywords Index Keywords
Document Type Other
Open Access Open Access
Source Emerging Sources Citation Index (ESCI)
EID WOS:000425350800004
WoS Category Management
Research Area Business & Economics
PDF
Similar atricles
Scroll