Abstract
Environmental sustainability has become a major concern in the present era. The pressure of sustainable development is not only exerted by the government but also by the customer. Awareness among the society and strict government regulations force the industries to reduce environmental impact from their supply chain. Hence, green supply chain management (GSCM) has become an imperative industrial philosophy to avoid environmental hazards. There are motivational forces which are responsible for the implementation of GSCM practices. These motivational forces are termed as drivers. The objective of this paper is to prioritize the drivers of GSCM in Indian manufacturing industries based on government, industry, environment, and public perspectives using fuzzy TOPSIS methodology. An empirical study is made by collecting the data from a group of 12 decision-makers (DMs), three from each perspective. Sensitivity analysis is performed to check the effect of preferences given by each DM. The results show that the regulations forced by the central government play the most significant role followed by regional/state government legislation. The results obtained help firms in identifying the important drivers to implement GSCM practices in Indian manufacturing industries based on different perspectives. It will also help the policymakers to identify important drivers of GSCM in Indian manufacturing industries and will support in implementing GSCM practices.
This is a preview of subscription content, log in via an institution to check access.
Similar content being viewed by others
References
Ahi P, Searcy C (2013) A comparative literature analysis of definitions for green and sustainable supply chain management. J Clean Prod 52:329–341. https://doi.org/10.1016/j.jclepro.2013.02.018
Ansari ZN, Kant R (2017) A state-of-art literature review reflecting 15 years of focus on sustainable supply chain management. J Clean Prod 142:2524–2543. https://doi.org/10.1016/j.jclepro.2016.11.023
Awasthi A, Chauhan SS, Omrani H, Panahi A (2011) A hybrid approach based on SERVQUAL and fuzzy TOPSIS for evaluating transportation service quality. Comput Ind Eng 61(3):637–646. https://doi.org/10.1016/j.cie.2011.04.019
Azhar SB, Talib P (2015) Green management indicators & environmental sustainability: an ISM based approach. Bus Manag Rev 7(1):377
Bellman RE, Zadeh LA (1970) Decision-making in a fuzzy environment. Manag Sci 17(4):B-141
Bey N, Hauschild MZ, McAloone TC (2013) Drivers and barriers for implementation of environmental strategies in manufacturing companies. CIRP Ann Manuf Technol 62(1):43–46. https://doi.org/10.1016/j.cirp.2013.03.001
Bhool R, Narwal MS (2013) An analysis of drivers affecting the implementation of green supply chain management for the Indian manufacturing industries. Int J Res Eng Technol 2(11):2319–1163
Barve A, Muduli K (2013) Modelling the challenges of green supply chain management practices in Indian mining industries. J Manuf Technol Manag 24(8):1102–1122. https://doi.org/10.1108/JMTM-09-2011-0087
Chai J, Liu JN, Ngai EW (2013) Application of decision-making techniques in supplier selection: a systematic review of literature. Expert Syst Appl 40(10):3872–3885. https://doi.org/10.1016/j.eswa.2012.12.040
Chen CT (2000) Extensions of the TOPSIS for group decision-making under fuzzy environment. Fuzzy Sets Syst 114(1):1–9. https://doi.org/10.1016/S0165-0114(97)00377-1
Chien MK, Shih LH (2007) An empirical study of the implementation of green supply chain management practices in the electrical and electronic industry and their relation to organizational performances. Int J Environ Sci Technol :(IJEST) 4(3):383
Christmann P, Taylor G (2001) Globalization and the environment: determinants of firm self-regulation in China. J Int Bus Stud 32(3):439–458. https://doi.org/10.1057/palgrave.jibs.8490976
Dashore K, Sohani N (2013) Green supply chain management-barriers & drivers: a review. Int J Eng Res Technol 2(4):2021–2030
Delgado M, Verdegay JL, Vila MA (1992) Linguistic decision-making models. Int J Intell Syst 7(5):479–492. https://doi.org/10.1002/int.4550070507
Dhull S, Narwal M (2016) Drivers and barriers in green supply chain management adaptation: a state-of-art review. Uncertain Supply Chain Manag 4(1):61–76
Diabat A, Kannan D, Mathiyazhagan K (2014) Analysis of enablers for implementation of sustainable supply chain management—a textile case. J Clean Prod 83:391–403. https://doi.org/10.1016/j.jclepro.2014.06.081
Diabat A, Govindan K (2011) An analysis of the drivers affecting the implementation of green supply chain management. Resour Conserv Recycl 55(6):659–667. https://doi.org/10.1016/j.resconrec.2010.12.002
Drumwright ME (1994) Socially responsible organizational buying: environmental concern as a noneconomic buying criterion. J Mark 58(3):1–19. https://doi.org/10.2307/1252307
Elkington J (1997) Cannibals with forks: the triple bottom line of 21st century business. Environ Qual Manag 2:37–51
Gangele A, Verma A (2011) The investigation of green supply chain management practices in pharmaceutical manufacturing industry through waste minimization. Int J Ind Eng Technol 3(4):403–415
Georgiadis P, Besiou M (2010) Environmental and economical sustainability of WEEE closed-loop supply chains with recycling: a system dynamics analysis. Int J Adv Manuf Technol 47(5–8):475–493. https://doi.org/10.1007/s00170-009-2362-7
Govindan K, Khodaverdi R, Vafadarnikjoo A (2015) Intuitionistic fuzzy based DEMATEL method for developing green practices and performances in a green supply chain. Expert Syst Appl 42(20):7207–7220. https://doi.org/10.1016/j.eswa.2015.04.030
Gumus AT (2009) Evaluation of hazardous waste transportation firms by using a two-step fuzzy-AHP and TOPSIS methodology. Expert Syst Appl 36(2):4067–4074. https://doi.org/10.1016/j.eswa.2008.03.013
Hall J (2000) Environmental supply chain dynamics. J Clean Prod 8(6):455–471. https://doi.org/10.1016/S0959-6526(00)00013-5
Hanna MD, Newman WR, Johnson P (2000) Linking operational and environmental improvement through employee involvement. Int J Oper Prod Manag 20(2):148–165. https://doi.org/10.1108/01443570010304233
Henriques I, Sadorsky P (1996) The determinants of an environmentally responsive firm: an empirical approach. J Environ Econ Manag 30(3):381–395. https://doi.org/10.1006/jeem.1996.0026
Herrera F, Herrera-Viedma E (1996) A model of consensus in group decision making under linguistic assessments. Fuzzy Sets Syst 78(1):73–87. https://doi.org/10.1016/0165-0114(95)00107-7
Herrera F, Herrera-Viedma E (2000) Linguistic decision analysis: steps for solving decision problems under linguistic information. Fuzzy Sets Syst 115(1):67–82. https://doi.org/10.1016/S0165-0114(99)00024-X
Herrera F, Herrera-Viedma E, Verdegay JL (1996) Direct approach processes in group decision making using linguistic OWA operators. Fuzzy Sets Syst 79(2):175–190. https://doi.org/10.1016/0165-0114(95)00162-X
Hosseini A (2007) Identification of green management system’s factors: a conceptualized model. Int J Manag Sci Eng Manag 2(3):221–228
Hwang CL, Yoon K (1981) Methods for multiple attribute decision making. In Multiple attribute decision making (pp 58–191). Springer, Berlin, Heidelberg
Karimi M, Azizi M, Javanshir H, Ghomi S (2015) A hybrid approach based on SERVQUAL and fuzzy TOPSIS for evaluating banking service quality. Decis Sci Lett 4(3):349–362
Kathiresan G, Ragunathan S (2016a) Impact of drivers for the implementation of green supply chain management in leather industries of northern Tamilnadu. Adv Nat Appl Sci 10(15):31–43
Kathiresan G, Ragunathan S (2016b) An exploratory study of drivers for the adoption of green supply chain management in small and medium-sized tanneries of northern Tamilnadu using ISM, ANP and fuzzy ANP. Adv Nat Appl Sci 10(16):103–115
Lamming R, Hampson J (1996) The environment as a supply chain management issue. Brit J Manag 9,7(Special issue 1):S45–S62
Lee KH (2005) First course on fuzzy theory and applications. Springer-Verlag Berlin, Heidelberg
Lin CY, Ho YH (2011) Determinants of green practice adoption for logistics companies in China. J Bus Ethics 98(1):67–83. https://doi.org/10.1007/s10551-010-0535-9
Luken R, Van Rompaey F (2008) Drivers for and barriers to environmentally sound technology adoption by manufacturing plants in nine developing countries. J Clean Prod 16(1):S67–S77. https://doi.org/10.1016/j.jclepro.2007.10.006
Luthra S, Garg D, Haleem A (2013) Identifying and ranking of strategies to implement green supply chain management in Indian manufacturing industry using Analytical Hierarchy Process. J Ind Eng Manag 6(4):930
Luthra S, Garg D, Haleem A (2016) The impacts of critical success factors for implementing green supply chain management towards sustainability: an empirical investigation of Indian automobile industry. J Clean Prod 121:142–158. https://doi.org/10.1016/j.jclepro.2016.01.095
Malviya RK, Kant R (2016) Hybrid decision-making approach to predict and measure the success possibility of green supply chain management implementation. J Clean Prod 135:387–409. https://doi.org/10.1016/j.jclepro.2016.06.046
Mathiyazhagan K, Govindan K, Noor ul Haq A, Geng Y (2013) An ISM approach for the barrier analysis in implementing green supply chain management. J Clean Prod 47:283–297. https://doi.org/10.1016/j.jclepro.2012.10.042
Mathiyazhagan K, Haq AN (2013) Analysis of the influential pressures for green supply chain management adoption—an Indian perspective using interpretive structural modeling. Int J Adv Manuf Technol 68(1–4):817–833. https://doi.org/10.1007/s00170-013-4946-5
Min H, Galle WP (1997) Green purchasing strategies: trends and implications. J Supply Chain Manag 33(2):10–17
Mittal VK, Sangwan KS (2014a) Development of a model of barriers to environmentally conscious manufacturing implementation. Int J Prod Res 52(2):584–594. https://doi.org/10.1080/00207543.2013.838649
Mittal VK, Sangwan KS (2014b) Fuzzy TOPSIS method for ranking barriers to environmentally conscious manufacturing implementation: government, industry and expert perspectives. Int J Environ Technol Manag 17(1):57–82. https://doi.org/10.1504/IJETM.2014.059466
Montabon F, Melnyk SA, Sroufe R, Calantone RJ (2000) ISO 14000: assessing its perceived impact on corporate performance. J Supply Chain Manag 36(1):4–16. https://doi.org/10.1111/j.1745-493X.2000.tb00073.x
Muduli K, Govindan K, Barve A, Geng Y (2013) Barriers to green supply chain management in Indian mining industries: a graph-theoretic approach. J Clean Prod 47:335–344. https://doi.org/10.1016/j.jclepro.2012.10.030
Narasimhan R, Carter JR (1998) Linking business unit and material sourcing strategies. J Bus Logist 19(2):155
Porter ME, Van der Linde C (1995) Green and competitive: ending the stalemate. Harv Bus Rev 73(5):120–134
Rondinelli DA, Berry MA (2000) Environmental citizenship in multinational corporations: social responsibility and sustainable development. Eur Manag J 18(1):70–84. https://doi.org/10.1016/S0263-2373(99)00070-5
Sarkis J (1998) Evaluating environmentally conscious business practices. Eur J Oper Res 107(1):159–174. https://doi.org/10.1016/S0377-2217(97)00160-4
Sarkis J (2003) A strategic decision framework for green supply chain management. J Clean Prod 11(4):397–409. https://doi.org/10.1016/S0959-6526(02)00062-8
Sarkis, J. (Ed.). (2006). Greening the supply chain. Springer Science & Business Media, DOI: https://doi.org/10.1007/1-84628-299-3
Singh A, Singh A, Trivedi A, Trivedi A (2016) Sustainable green supply chain management: trends and current practices. Compet Rev 26(3):265–288
Singh A, Singh B, Dhingra AK (2012) Drivers and barriers of green manufacturing practices: a survey of Indian industries. Int J Eng Sci 1(1):5–19
Studer S, Welford R, Hills P (2006) Engaging Hong Kong businesses in environmental change: drivers and barriers. Bus Strateg Environ 15(6):416–431. https://doi.org/10.1002/bse.516
Walker H, Di Sisto L, McBain D (2008) Drivers and barriers to environmental supply chain management practices: lessons from the public and private sectors. J Purch Supply Manag 14(1):69–85. https://doi.org/10.1016/j.pursup.2008.01.007
Walton SV, Handfield RB, Melnyk ST (1998) The green supply chain: integrating suppliers into environmental management process. Int J Purch Mater Manag Spring 34:2–11
Yu CS (2002) A GP-AHP method for solving group decision-making fuzzy AHP problems. Comput Oper Res 29(14):1969–2001. https://doi.org/10.1016/S0305-0548(01)00068-5
Yu J, Hills P, Welford R (2008) Extended producer responsibility and eco-design changes: perspectives from China. Corp Soc Responsib Environ Manag 15(2):111–124
Jain VK, Sharma S (2014) Drivers affecting the green supply chain management adaptation: a review. IUP J Oper Manag 13:54–63
Zhang B, Bi J, Liu B (2009) Drivers and barriers to engage enterprises in environmental management initiatives in Suzhou Industrial Park, China. Front Environ Sci Eng China 3(2):210–220. https://doi.org/10.1007/s11783-009-0014-7
Zhu Q, Geng Y (2013) Drivers and barriers of extended supply chain practices for energy saving and emission reduction among Chinese manufacturers. J Clean Prod 40:6–12. https://doi.org/10.1016/j.jclepro.2010.09.017
Zhu Q, Sarkis J (2004) Relationships between operational practices and performance among early adopters of green supply chain management practices in Chinese manufacturing enterprises. J Oper Manag 22(3):265–289
Zhu Q, Sarkis J (2006) An inter-sectoral comparison of green supply chain management in China: drivers and practices. J Clean Prod 14(5):472–486. https://doi.org/10.1016/j.jclepro.2005.01.003
Zhu Q, Sarkis J, Geng Y (2005) Green supply chain management in China: pressures, practices and performance. Int J Oper Prod Manag 25(5):449–468. https://doi.org/10.1108/01443570510593148
Zhu Q, Sarkis J, Lai KH (2007) Green supply chain management: pressures, practices and performance within the Chinese automobile industry. J Clean Prod 15(11):1041–1052. https://doi.org/10.1016/j.jclepro.2006.05.021
Zhu Q, Sarkis J, Lai KH (2008a) Green supply chain management implications for “closing the loop”. Transpor Res Part E: Log Transp Rev 44(1):1–18. https://doi.org/10.1016/j.tre.2006.06.003
Zhu Q, Sarkis J, Lai KH (2008b) Confirmation of a measurement model for green supply chain management practices implementation. Int J Prod Econ 111(2):261–273. https://doi.org/10.1016/j.ijpe.2006.11.029
Zhu Q, Sarkis J, Cordeiro JJ, Lai KH (2008) Firm-level correlates of emergent green supply chain management practices in the Chinese context. Omega 36(4):577–591 http://www.who.int/mediacentre/news/releases/2016/air-pollution-rising/en/ (29 December 2016) (1)
Author information
Authors and Affiliations
Corresponding author
Ethics declarations
Conflict of Interest
The authors declare that they have no conflict of interest.
Rights and permissions
About this article
Cite this article
Dhull, S., Narwal, M.S. Prioritizing the Drivers of Green Supply Chain Management in Indian Manufacturing Industries Using Fuzzy TOPSIS Method: Government, Industry, Environment, and Public Perspectives. Process Integr Optim Sustain 2, 47–60 (2018). https://doi.org/10.1007/s41660-017-0030-1
Received:
Revised:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s41660-017-0030-1