How to cite this paper
Garg, C., Sharma, A & Goyal, G. (2017). A hybrid decision model to evaluate critical factors for successful adoption of GSCM practices under fuzzy environment.Uncertain Supply Chain Management, 5(1), 59-70.
Refrences
Abdulrahman, M. D., Gunasekaran, A., & Subramanian, N. (2014). Critical barriers in implementing reverse logistics in the Chinese manufacturing sectors. International Journal of Production Economics, 147, 460-471.
Agarwal, G., & Vijayvargy, L. (2012). Green supplier assessment in environmentally responsive supply chains through analytical network process. In Proceedings of the 2010 Int. Multi Conference of Engineers and Computer Scientists (Vol. 2).
Al Zaabi, S., Al Dhaheri, N., & Diabat, A. (2013). Analysis of interaction between the barriers for the implementation of sustainable supply chain management. The International Journal of Advanced Manufacturing Technology, 68(1-4), 895-905.
Ageron, B., Gunasekaran, A., & Spalanzani, A. (2012). Sustainable supply management: An empirical study. International Journal of Production Economics, 140(1), 168-182.
Andiç, E., Yurt, Ö., & Baltacıoğlu, T. (2012). Green supply chains: Efforts and potential applications for the Turkish market. Resources, Conservation and Recycling, 58, 50-68.
Azevedo, S. G., Carvalho, H., & Machado, V. C. (2011). The influence of green practices on supply chain performance: a case study approach.Transportation research part E: Logistics and Transportation Review, 47(6), 850-871.
Bai, C., & Sarkis, J. (2013). A grey-based DEMATEL model for evaluating business process management critical success factors. International Journal of Production Economics, 146(1), 281-292.
Büyüközkan, G., & Çifçi, G. (2012). A novel hybrid MCDM approach based on fuzzy DEMATEL, fuzzy ANP and fuzzy TOPSIS to evaluate green suppliers. Expert Systems with Applications, 39(3), 3000-3011.
Carter, C. R., Ellram, L. M., & Ready, K. J. (1998). Environmental purchasing: benchmarking our German counterparts. International Journal of Purchasing and Materials Management, 34(3), 28-38.
Chan, H. K., Chiou, T. Y., & Lettice, F. (2012). Research framework for analyzing the relationship between greening of suppliers and green innovation on firms’ performance. International Journal of Applied Logistics (IJAL), 3(3), 22-36.
Chang, D. Y. (1996). Applications of the extent analysis method on fuzzy AHP. European journal of operational research, 95(3), 649-655.
Diabat, A., Khodaverdi, R., & Olfat, L. (2013). An exploration of green supply chain practices and performances in an automotive industry. The International Journal of Advanced Manufacturing Technology, 68(1-4), 949-961.
Eltayeb, T. K., Zailani, S., & Ramayah, T. (2011). Green supply chain initiatives among certified companies in Malaysia and environmental sustainability: Investigating the outcomes. Resources, conservation and recycling, 55(5), 495-506.
Fontela, E., & Gabus, A. (1976). The DEMATEL observer.
Garg, C. P. (2016). A robust hybrid decision model for evaluation and selection of the strategic alliance partner in the airline industry. Journal of Air Transport Management, 52, 55-66.
Giunipero, L. C., Hooker, R. E., & Denslow, D. (2012). Purchasing and supply management sustainability: Drivers and barriers. Journal of Purchasing and Supply Management, 18(4), 258-269.
Gopalakrishnan, K., Yusuf, Y. Y., Musa, A., Abubakar, T., & Ambursa, H. M. (2012). Sustainable supply chain management: A case study of British Aerospace (BAe) Systems. International Journal of Production Economics,140(1), 193-203.
Govindan, K., Khodaverdi, R., & Vafadarnikjoo, A. (2015). Intuitionistic fuzzy based DEMATEL method for developing green practices and performances in a green supply chain. Expert Systems with Applications, 42(20), 7207-7220.
Govindan, K., Kannan, D., Mathiyazhagan, K., Jabbour, A. B. L. D. S., & Jabbour, C. J. C. (2013). Analysing green supply chain management practices in Brazil’s electrical/electronic industry using interpretive structural modelling. International Journal of Environmental Studies, 70(4), 477-493.
Gupta H., Prakash C, Vishwakarma V., Barua M.K. (2015). Evaluating TQM adoption success factors to improve Indian MSMEs performance using fuzzy DEMATEL approach. International Journal of Productivity and Quality Management [in press].
Hu, A. H., & Hsu, C. W. (2010). Critical factors for implementing green supply chain management practice: an empirical study of electrical and electronic industries in Taiwan. Management Research Review, 33(6), 586-608.
Haleem, A., Sushil, Qadri, M. A., & Kumar, S. (2012). Analysis of critical success factors of world-class manufacturing practices: an application of interpretative structural modelling and interpretative ranking process.Production Planning & Control, 23(10-11), 722-734.
Kannan, D., de Sousa Jabbour, A. B. L., & Jabbour, C. J. C. (2014). Selecting green suppliers based on GSCM practices: Using fuzzy TOPSIS applied to a Brazilian electronic company. European Journal of Operational Research, 233(2), 432-447.
Kumar D., Garg C.P., (2016). Evaluating sustainable supply chain indicators using Fuzzy AHP: Case of Indian automotive industry. Benchmarking: An International Journal [In press].
Lin, R. J. (2013). Using fuzzy DEMATEL to evaluate the green supply chain management practices. Journal of Cleaner Production, 40, 32-39.
Luthra, S., Kumar, V., Kumar, S., & Haleem, A. (2011). Barriers to implement green supply chain management in automobile industry using interpretive structural modeling technique: An Indian perspective. Journal of Industrial Engineering and Management, 4(2), 231-257.
Luthra, S., Garg, D., & Haleem, A. (2015). An analysis of interactions among critical success factors to implement green supply chain management towards sustainability: An Indian perspective. Resources Policy, 46, 37-50.
Mathiyazhagan, K., Govindan, K., NoorulHaq, A., & Geng, Y. (2013). An ISM approach for the barrier analysis in implementing green supply chain management. Journal of Cleaner Production, 47, 283-297.
Muduli, K., Govindan, K., Barve, A., Kannan, D., & Geng, Y. (2013). Role of behavioural factors in green supply chain management implementation in Indian mining industries. Resources, Conservation and Recycling, 76, 50-60.
Prakash, C., & Barua, M. K. (2016a). An analysis of integrated robust hybrid model for third-party reverse logistics partner selection under fuzzy environment. Resources, Conservation and Recycling, 108, 63-81.
Prakash, C., & Barua, M. K. (2016b). A combined MCDM approach for evaluation and selection of third-party reverse logistics partner for Indian electronic industry. Sustainable Production and Consumption, 7, 66-78.
Prakash, C., & Barua, M. K. (2016c). A Robust Multi-Criteria Decision-Making Framework for Evaluation of the Airport Service Quality Enablers for Ranking the Airports. Journal of Quality Assurance in Hospitality & Tourism, 1-20.
Prakash, C., & Barua, M. K. (2015a). Integration of AHP-TOPSIS method for prioritizing the solutions of reverse logistics adoption to overcome its barriers under fuzzy environment. Journal of Manufacturing Systems, 37, 599-615.
Prakash C., & Barua, M. K. (2015b). Flexible Modelling Approach for Evaluating Reverse Logistics Adoption Barriers using Fuzzy AHP and IRP Framework. International Journal of Operational Research [in press].
Prakash, C., & Barua, M. K. (2015c) A multi criteria decision making approach for prioritizing reverse logistics adoption barriers under fuzzy environment: Case of Indian electronic industry. Global Business Review [in press].
Prakash, C., Barua, M. K., & Balon, V. (2015a). Prioritizing TQM enablers to improve Indian airlines performance under fuzzy environment. Industrial Engineering Journal, 8(8), 28-34.
Prakash, C., Barua, M. K., & Pandya, K. V. (2015b). Barriers analysis for reverse logistics implementation in Indian electronic industry using fuzzy analytic hierarchy process. Procedia-Social and Behavioral Sciences, 189, 91-102.
Prakash C., Barua M.K., Vishwakarma V., & Balon V., (2014). A Multi Criteria Decision Making Approach to Overcome Its Barriers in Green Supply Chain Management under Fuzzy Environment. proceedings of the International Conference on Research & Sustainable Business on March, 08-09, 2014 in DoMS, IIT Roorkee, ISBN: 9789383842193, pg. 965-976.
Saaty, T.L. (1980). Analytic Hierarchy Processes, McGraw-Hill, New York.
Simpson, D., Power, D., & Samson, D. (2007). Greening the automotive supply chain: a relationship perspective. International Journal of Operations & Production Management, 27(1), 28-48.
Toppinen, A., & Korhonen‐Kurki, K. (2013). Global Reporting Initiative and social impact in managing corporate responsibility: a case study of three multinationals in the forest industry. Business ethics: A European review, 22(2), 202-217.
Tseng, M. L., Tan, R. R., & Siriban-Manalang, A. B. (2013). Sustainable consumption and production for Asia: sustainability through green design and practice. Journal of Cleaner Production, 40, 1-5.
Vishwakarma, V., Prakash, C., & Barua, M. K. (2015a). A fuzzy based multi criteria decision making approach for supply chain risk assessment in Indian pharmaceutical industry. International Journal of Logistics Systems and Management. [in Press].
Vishwakarma, V., Prakash, C., & Barua, M. K. (2015b). Evaluating quality dimensions under technological integration in pharmaceutical supply chain: A fuzzy MCDM approach. Shodh Ganga Management Journal, 5(1), 1-4.
Vishwakarma, V., Prakash, C., & Barua, M. K. (2016). Modeling the barriers of Indian Pharmaceutical Supply Chain using fuzzy AHP. International Journal of Operational Research [in press].
Meng, X. (2008, December). Study of evaluation and selection on third party reverse logistics providers. In Business and Information Management, 2008. ISBIM'08. International Seminar on (Vol. 1, pp. 518-521). IEEE.
Li, Y. (2011). Research on the performance measurement of green supply chain management in China. Journal of Sustainable Development, 4(3), 101.
Zadeh, L. A. (1965). Fuzzy sets. Information and Control, 8(3), 338-353.
Zhu, Q., Sarkis, J., & Lai, K. H. (2007). Initiatives and outcomes of green supply chain management implementation by Chinese manufacturers. Journal of Environmental Management, 85(1), 179-189.
Zhu, Q., Sarkis, J., & Lai, K. H. (2008). Green supply chain management implications for “closing the loop”. Transportation Research Part E: Logistics and Transportation Review, 44(1), 1-18.
Zhu, Q., & Sarkis, J. (2006). An inter-sectoral comparison of green supply chain management in China: drivers and practices. Journal of Cleaner Production, 14(5), 472-486.
Zhu, Q., Cordeiro, J., & Sarkis, J. (2012). International and domestic pressures and responses of Chinese firms to greening. Ecological Economics, 83, 144-153.
Agarwal, G., & Vijayvargy, L. (2012). Green supplier assessment in environmentally responsive supply chains through analytical network process. In Proceedings of the 2010 Int. Multi Conference of Engineers and Computer Scientists (Vol. 2).
Al Zaabi, S., Al Dhaheri, N., & Diabat, A. (2013). Analysis of interaction between the barriers for the implementation of sustainable supply chain management. The International Journal of Advanced Manufacturing Technology, 68(1-4), 895-905.
Ageron, B., Gunasekaran, A., & Spalanzani, A. (2012). Sustainable supply management: An empirical study. International Journal of Production Economics, 140(1), 168-182.
Andiç, E., Yurt, Ö., & Baltacıoğlu, T. (2012). Green supply chains: Efforts and potential applications for the Turkish market. Resources, Conservation and Recycling, 58, 50-68.
Azevedo, S. G., Carvalho, H., & Machado, V. C. (2011). The influence of green practices on supply chain performance: a case study approach.Transportation research part E: Logistics and Transportation Review, 47(6), 850-871.
Bai, C., & Sarkis, J. (2013). A grey-based DEMATEL model for evaluating business process management critical success factors. International Journal of Production Economics, 146(1), 281-292.
Büyüközkan, G., & Çifçi, G. (2012). A novel hybrid MCDM approach based on fuzzy DEMATEL, fuzzy ANP and fuzzy TOPSIS to evaluate green suppliers. Expert Systems with Applications, 39(3), 3000-3011.
Carter, C. R., Ellram, L. M., & Ready, K. J. (1998). Environmental purchasing: benchmarking our German counterparts. International Journal of Purchasing and Materials Management, 34(3), 28-38.
Chan, H. K., Chiou, T. Y., & Lettice, F. (2012). Research framework for analyzing the relationship between greening of suppliers and green innovation on firms’ performance. International Journal of Applied Logistics (IJAL), 3(3), 22-36.
Chang, D. Y. (1996). Applications of the extent analysis method on fuzzy AHP. European journal of operational research, 95(3), 649-655.
Diabat, A., Khodaverdi, R., & Olfat, L. (2013). An exploration of green supply chain practices and performances in an automotive industry. The International Journal of Advanced Manufacturing Technology, 68(1-4), 949-961.
Eltayeb, T. K., Zailani, S., & Ramayah, T. (2011). Green supply chain initiatives among certified companies in Malaysia and environmental sustainability: Investigating the outcomes. Resources, conservation and recycling, 55(5), 495-506.
Fontela, E., & Gabus, A. (1976). The DEMATEL observer.
Garg, C. P. (2016). A robust hybrid decision model for evaluation and selection of the strategic alliance partner in the airline industry. Journal of Air Transport Management, 52, 55-66.
Giunipero, L. C., Hooker, R. E., & Denslow, D. (2012). Purchasing and supply management sustainability: Drivers and barriers. Journal of Purchasing and Supply Management, 18(4), 258-269.
Gopalakrishnan, K., Yusuf, Y. Y., Musa, A., Abubakar, T., & Ambursa, H. M. (2012). Sustainable supply chain management: A case study of British Aerospace (BAe) Systems. International Journal of Production Economics,140(1), 193-203.
Govindan, K., Khodaverdi, R., & Vafadarnikjoo, A. (2015). Intuitionistic fuzzy based DEMATEL method for developing green practices and performances in a green supply chain. Expert Systems with Applications, 42(20), 7207-7220.
Govindan, K., Kannan, D., Mathiyazhagan, K., Jabbour, A. B. L. D. S., & Jabbour, C. J. C. (2013). Analysing green supply chain management practices in Brazil’s electrical/electronic industry using interpretive structural modelling. International Journal of Environmental Studies, 70(4), 477-493.
Gupta H., Prakash C, Vishwakarma V., Barua M.K. (2015). Evaluating TQM adoption success factors to improve Indian MSMEs performance using fuzzy DEMATEL approach. International Journal of Productivity and Quality Management [in press].
Hu, A. H., & Hsu, C. W. (2010). Critical factors for implementing green supply chain management practice: an empirical study of electrical and electronic industries in Taiwan. Management Research Review, 33(6), 586-608.
Haleem, A., Sushil, Qadri, M. A., & Kumar, S. (2012). Analysis of critical success factors of world-class manufacturing practices: an application of interpretative structural modelling and interpretative ranking process.Production Planning & Control, 23(10-11), 722-734.
Kannan, D., de Sousa Jabbour, A. B. L., & Jabbour, C. J. C. (2014). Selecting green suppliers based on GSCM practices: Using fuzzy TOPSIS applied to a Brazilian electronic company. European Journal of Operational Research, 233(2), 432-447.
Kumar D., Garg C.P., (2016). Evaluating sustainable supply chain indicators using Fuzzy AHP: Case of Indian automotive industry. Benchmarking: An International Journal [In press].
Lin, R. J. (2013). Using fuzzy DEMATEL to evaluate the green supply chain management practices. Journal of Cleaner Production, 40, 32-39.
Luthra, S., Kumar, V., Kumar, S., & Haleem, A. (2011). Barriers to implement green supply chain management in automobile industry using interpretive structural modeling technique: An Indian perspective. Journal of Industrial Engineering and Management, 4(2), 231-257.
Luthra, S., Garg, D., & Haleem, A. (2015). An analysis of interactions among critical success factors to implement green supply chain management towards sustainability: An Indian perspective. Resources Policy, 46, 37-50.
Mathiyazhagan, K., Govindan, K., NoorulHaq, A., & Geng, Y. (2013). An ISM approach for the barrier analysis in implementing green supply chain management. Journal of Cleaner Production, 47, 283-297.
Muduli, K., Govindan, K., Barve, A., Kannan, D., & Geng, Y. (2013). Role of behavioural factors in green supply chain management implementation in Indian mining industries. Resources, Conservation and Recycling, 76, 50-60.
Prakash, C., & Barua, M. K. (2016a). An analysis of integrated robust hybrid model for third-party reverse logistics partner selection under fuzzy environment. Resources, Conservation and Recycling, 108, 63-81.
Prakash, C., & Barua, M. K. (2016b). A combined MCDM approach for evaluation and selection of third-party reverse logistics partner for Indian electronic industry. Sustainable Production and Consumption, 7, 66-78.
Prakash, C., & Barua, M. K. (2016c). A Robust Multi-Criteria Decision-Making Framework for Evaluation of the Airport Service Quality Enablers for Ranking the Airports. Journal of Quality Assurance in Hospitality & Tourism, 1-20.
Prakash, C., & Barua, M. K. (2015a). Integration of AHP-TOPSIS method for prioritizing the solutions of reverse logistics adoption to overcome its barriers under fuzzy environment. Journal of Manufacturing Systems, 37, 599-615.
Prakash C., & Barua, M. K. (2015b). Flexible Modelling Approach for Evaluating Reverse Logistics Adoption Barriers using Fuzzy AHP and IRP Framework. International Journal of Operational Research [in press].
Prakash, C., & Barua, M. K. (2015c) A multi criteria decision making approach for prioritizing reverse logistics adoption barriers under fuzzy environment: Case of Indian electronic industry. Global Business Review [in press].
Prakash, C., Barua, M. K., & Balon, V. (2015a). Prioritizing TQM enablers to improve Indian airlines performance under fuzzy environment. Industrial Engineering Journal, 8(8), 28-34.
Prakash, C., Barua, M. K., & Pandya, K. V. (2015b). Barriers analysis for reverse logistics implementation in Indian electronic industry using fuzzy analytic hierarchy process. Procedia-Social and Behavioral Sciences, 189, 91-102.
Prakash C., Barua M.K., Vishwakarma V., & Balon V., (2014). A Multi Criteria Decision Making Approach to Overcome Its Barriers in Green Supply Chain Management under Fuzzy Environment. proceedings of the International Conference on Research & Sustainable Business on March, 08-09, 2014 in DoMS, IIT Roorkee, ISBN: 9789383842193, pg. 965-976.
Saaty, T.L. (1980). Analytic Hierarchy Processes, McGraw-Hill, New York.
Simpson, D., Power, D., & Samson, D. (2007). Greening the automotive supply chain: a relationship perspective. International Journal of Operations & Production Management, 27(1), 28-48.
Toppinen, A., & Korhonen‐Kurki, K. (2013). Global Reporting Initiative and social impact in managing corporate responsibility: a case study of three multinationals in the forest industry. Business ethics: A European review, 22(2), 202-217.
Tseng, M. L., Tan, R. R., & Siriban-Manalang, A. B. (2013). Sustainable consumption and production for Asia: sustainability through green design and practice. Journal of Cleaner Production, 40, 1-5.
Vishwakarma, V., Prakash, C., & Barua, M. K. (2015a). A fuzzy based multi criteria decision making approach for supply chain risk assessment in Indian pharmaceutical industry. International Journal of Logistics Systems and Management. [in Press].
Vishwakarma, V., Prakash, C., & Barua, M. K. (2015b). Evaluating quality dimensions under technological integration in pharmaceutical supply chain: A fuzzy MCDM approach. Shodh Ganga Management Journal, 5(1), 1-4.
Vishwakarma, V., Prakash, C., & Barua, M. K. (2016). Modeling the barriers of Indian Pharmaceutical Supply Chain using fuzzy AHP. International Journal of Operational Research [in press].
Meng, X. (2008, December). Study of evaluation and selection on third party reverse logistics providers. In Business and Information Management, 2008. ISBIM'08. International Seminar on (Vol. 1, pp. 518-521). IEEE.
Li, Y. (2011). Research on the performance measurement of green supply chain management in China. Journal of Sustainable Development, 4(3), 101.
Zadeh, L. A. (1965). Fuzzy sets. Information and Control, 8(3), 338-353.
Zhu, Q., Sarkis, J., & Lai, K. H. (2007). Initiatives and outcomes of green supply chain management implementation by Chinese manufacturers. Journal of Environmental Management, 85(1), 179-189.
Zhu, Q., Sarkis, J., & Lai, K. H. (2008). Green supply chain management implications for “closing the loop”. Transportation Research Part E: Logistics and Transportation Review, 44(1), 1-18.
Zhu, Q., & Sarkis, J. (2006). An inter-sectoral comparison of green supply chain management in China: drivers and practices. Journal of Cleaner Production, 14(5), 472-486.
Zhu, Q., Cordeiro, J., & Sarkis, J. (2012). International and domestic pressures and responses of Chinese firms to greening. Ecological Economics, 83, 144-153.