Anotace:
Sustainable supply chain management (SSCM) is a tactical concern for managers seeking a long-term result. Different managers are attempting to apply SSCM in order to get a competitive advantage. One of the critical processes is the identification of strategy implementation hurdles, which has been a research focus. As a result, this paper identifies these obstacles and analyzes their interrelationships. A list of obstacles was initially established by a survey of the literature and expert judgment in the form of the fuzzy Delphi approach. Next, an investigation was designed to collect expert opinions on the interrelationships between these obstacles. The fuzzy DEMATEL (FDEMATEL) approach was employed for examining the causal linkages and interdependencies of these obstacles. Subsequently, the interpretative structural modeling (ISM) technique was utilized to create a classified structure and to identify the driving and dependent connections. A fuzzy MICMAC analysis was applied for categorizing the obstacles based on driving and dependent power. The results reveal that barriers, \“cost of implementation sustainability (B1)\”, \“lack of financial resources (B2)\”, \“institutional complexity (B3)\”, \“complexity in measuring and monitoring sustainability practices (B4)\”, \“lack of effective regulations (B5)\”, \“lack of a proper evaluation system for suppliers (B6)\”, \“lack of sustainability knowledge (B7)\”, and \“strategic and structural restraints (B8)\”, are the influence-forwarding obstacles. These obstacles influence \“inadequate government support (B9)\”,\ “high investments for sustainability and less return-on- investments (B10)\”, \“old equipment and machinery (B11)\”, and \“lack of management commitment (B12)\”, which are the greatest influences on SSCM practices. Identifying the important obstacles and their interdependences can help policymakers in the manufacturing sector minimize or overcome them, boosting the possibilities of effectively incorporating sustainable principles into these projects.