Authors: Abbas Al-Refaie; Dina Al-Momani; Rawan Al-Tarawneh
Addresses: Department of Industrial Engineering, University of Jordan, Amman, 11942, Jordan ' Department of Industrial Engineering, University of Jordan, Amman, 11942, Jordan ' Department of Industrial Engineering, University of Jordan, Amman, 11942, Jordan
Abstract: This research investigates ten barriers to adoption of green supply chain management (GSCM) adoption in Jordanian firms using interpretive structural modelling (ISM). Twenty experts from academia and 18 industry were interviewed. Structural self-interaction matrix (SSIM) is developed and then adopted to construct the reachability matrices. The results of ISM model revealed that 'lack of support from government' barrier achieved the highest driving power followed by the barrier 'cost implications' and 'lack of customer awareness'. Moreover, the linkage barriers were the 'IT implementation problem', 'resistance to technology advancement adoption', 'market competition', 'lack of management commitment', 'supplier reluctance to change towards GSCM', and 'lack of sustainability of certificate ISO 14001'. These findings suggest that government authorities and top management should resolve barriers at the strategic level by developing effective regulations and incentive policies that enhance customer awareness, supplier commitment to the application of GSCM practices. Further, top managements should ponder on evolving strategies that generate awareness about GSCM adoption. In conclusion, the developed ISM model may provide a valuable guidance to decision makers to understand interdependence of the barriers, determine the required actions to overcome their impacts, and adopt efficient methodologies for effective implementation of GSCM practices in Jordanian firms.
Keywords: green supply chain management; GSCM; interpretive structural modelling; ISM; barriers; supply chain; MICMAC analysis.
International Journal of Productivity and Quality Management, 2020 Vol.29 No.3, pp.397 - 417
Received: 08 Mar 2018
Accepted: 11 Dec 2018
Published online: 24 Mar 2020 *