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Global Journal of Flexible Systems Management

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01.06.2016 | Original Article

Enablers and Barriers of Flexible Green Supply Chain Management: A Total Interpretive Structural Modeling Approach

verfasst von: K. T. Shibin, Angappa Gunasekaran, Thanos Papadopoulos, Rameshwar Dubey, Manju Singh, Samuel Fosso Wamba

Erschienen in: Global Journal of Flexible Systems Management | Ausgabe 2/2016

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Abstract

In this paper an attempt has been made to build a theoretical framework of the enablers and barriers of flexible green supply chain management (FGSCM). This study is unique in its kind, as it clearly illustrates both the enablers and barriers and their complex interrelationships that impact the design and implementation of flexible and green strategies in a supply chain closed loop system. Ten enablers and eight barriers of FGSCM are identified through an extensive literature review process. Then, an expert survey is developed and conducted to further understand the interactions and the transitive links between the enablers and barriers. Separate frameworks are developed and proposed regarding the enablers and barriers of FGSCM by using total interpretive structural modeling approach. Finally, we have discussed the findings of the study in light of the relevant literature, followed by limitations and further research directions.

Vorheriger Artikel Integrated Forecasting Using the Discrete Wavelet Theory and Artificial Intelligence Techniques to Reduce the Bullwhip Effect in a Supply Chain

Nächster Artikel A Review of RFID in Supply Chain Management: 2000–2015

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Titel: Enablers and Barriers of Flexible Green Supply Chain Management: A Total Interpretive Structural Modeling Approach
verfasst von: K. T. Shibin
Angappa Gunasekaran
Thanos Papadopoulos
Rameshwar Dubey
Manju Singh
Samuel Fosso Wamba
Publikationsdatum: 01.06.2016
Verlag: Springer India
Erschienen in: Global Journal of Flexible Systems Management / Ausgabe 2/2016
Print ISSN: 0972-2696
Elektronische ISSN: 0974-0198
DOI: https://doi.org/10.1007/s40171-015-0109-x

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