Evaluating barriers for reverse logistics implementation under a multiple stakeholders’ perspective analysis using grey decision making approach

Resources, Conservation and Recycling

Volumn 128, Issue , 2018, Pages 315-335

  Bouzon, Marina ^a,b   Govindan, Kannan ^a   Rodriguez, Carlos M Taboada ^b  

^a UNIVERSITY OF SOUTHERN DENMARK   (Denmark)

^b FEDERAL UNIVERSITY OF SANTA CATARINA   (Brazil)

Author keywords

Barriers; Decision making; DEMATEL; Grey theory; Reverse logistics; Stakeholder

Indexed keywords

DECISION MAKING; DECISION THEORY; SUPPLY CHAINS;

BARRIERS; DEMATEL; GREY THEORY; REVERSE LOGISTICS; STAKEHOLDER;

LOGISTICS;

DECISION MAKING; IMPLEMENTATION PROCESS; LOGISTICS; MULTICRITERIA ANALYSIS; STAKEHOLDER;

CASE REPORT; DECISION MAKING; EXTRACT; GOVERNMENT; HUMAN; MANAGER; STATISTICAL MODEL;

BRAZIL;

EID: 85008498560     PISSN: 09213449     EISSN: 18790658     Source Type: Journal    
DOI: 10.1016/j.resconrec.2016.11.022     Document Type: Article

References (72)

1. Abdullah, N., Yaakub, S., Abdullah, H.H., The impact of customer and stakeholder pressure, financial and competitive pressure, regulatory pressure and corporate citizenship pressure on reverse logistics adoption. 2nd International Conference on Management proceedings, 2012, 842–852.
2. Abdulrahman, M.D., Gunasekaran, A., Subramanian, N., Critical barriers in implementing reverse logistics in the Chinese manufacturing sectors. Int. J. Prod. Econ. 147:Part B (2014), 460–471.
3. Agrawal, S., Singh, R.K., Murtaza, Q., A literature review and perspectives in reverse logistics. Resour. Conserv. Recycl. 97 (2015), 76–92.
4. Aitken, J., Harrison, A., Supply governance structures for reverse logistics systems. Int. J. Oper. Prod. Manage. 33:6 (2013), 745–764.
5. Akdoğan, M.Ş., Coşkun, A., Drivers of reverse logistics activities: an empirical investigation. Procedia – Soc. Behav. Sci. 58:0 (2012), 1640–1649.
6. Alvarez-Gil, M.J., Berrone, P., Husillos, F.J., Lado, N., Reverse logistics, stakeholders' influence, organizational slack, and managers' posture. J. Bus. Res. 60 (2007), 463–473.
7. Azar, A., Ardakani, D., Application of gray-based DEMATEL technique in designing of the aggregate green supply chain management's model. Uncertain Supply Chain Manage. 2:3 (2014), 199–208.
8. Bai, C., Sarkis, J., A grey-based DEMATEL model for evaluating business process management critical success factors. Int. J. Prod. Econ. 146:1 (2013), 281–292.
9. Bernon, M., Upperton, J., Bastl, M., Cullen, J., An exploration of supply chain integration in the retail product returns process. Int. J. Phys. Distrib. Logist. Manage. 43:7 (2013), 586–608.
10. Bouzon, M., Govindan, K., Rodriguez, C.M.T., Reducing the extraction of minerals: reverse logistics in the machinery manufacturing industry sector in Brazil using ISM approach. Resour. Policy 46:1 (2015), 27–36.
11. Bouzon, M., Spricigo, R., Rodriguez, C.M., de Queiroz, A.A., Cauchick Miguel, P.A., Reverse logistics drivers: empirical evidence from a case study in an emerging economy. Prod. Plann. Control 26:16 (2015), 1368–1385.
12. Chan, F.T.S., Chan, H.K., Jain, V., A framework of reverse logistics for the automobile industry. Int. J. Prod. Res. 50:5 (2012), 1318–1331.
13. Chileshe, N., Rameezdeen, R., Hosseini, M.R., Lehmann, S., Wagner, B., Barriers to implementing reverse logistics in South Australian construction organisations. Supply Chain Manage.: Int. J., 20(2), 2015.
14. Crane, A., Ruebottom, T., Stakeholder theory and social identity: rethinking stakeholder identification. J. Bus. Ethics 102:1 (2011), 77–87.
15. Deng, J.-L., Introduction to grey system theory. J. Grey Syst. 1:1 (1989), 1–24.
16. Dou, Y., Sarkis, J., A multiple stakeholder perspective on barriers to implementing China RoHS regulations. Resour. Conserv. Recycl. 81:0 (2013), 92–104.
17. Flapper, S.D.P., Gayon, J.P., Vercraene, S., Control of a production-inventory system with returns under imperfect advance return information. Eur. J. Oper. Res. 218:2 (2012), 392–400.
18. Freeman, R.E., Strategic Management: A Stakeholder Approach. 1984, Pitman Boston, MA.
19. Fu, X., Zhu, Q., Sarkis, J., Evaluating green supplier development programs at a telecommunications systems provider. Int. J. Prod. Econ. 140:1 (2012), 357–367.
20. Gabus, A., Fontela, E., World Problems, an Invitation to Further Thought Within the Framework of DEMATEL. 1972, Battelle Geneva Research Center, Geneva, Switzerland.
21. González-Torre, P., Álvarez, M., Sarkis, J., Adenso-Díaz, B., Barriers to the implementation of environmentally oriented reverse logistics: evidence from the automotive industry sector. Br. J. Manage. 21 (2010), 889–904.
22. Govindan, K., Sarkis, J., Palaniappan, M., An analytic network process-based multicriteria decision making model for a reverse supply chain. Int. J. Adv. Manuf. Technol. 68:1–4 (2013), 863–880.
23. Govindan, K., Kaliyan, M., Kannan, D., Haq, A., Barriers analysis for green supply chain management implementation in Indian industries using analytic hierarchy process. Int. J. Prod. Econ. 147 (2014), 555–568.
24. Govindan, K., Kannan, D., Shankar, K.M., Evaluating the drivers of corporate social responsibility in the mining industry with multi-criteria approach: a multi-stakeholder perspective. J. Clean. Prod. 84:0 (2014), 214–232.
25. Govindan, K., Soleimani, H., Kannan, D., Reverse logistics and closed-loop supply chain: a comprehensive review to explore the future. Eur. J. Oper. Res. 240:3 (2015), 603–626.
26. Govindan, K., Paam, P., Abtahi, A., A fuzzy multi-objective optimization model for sustainable reverse logistics network design. Ecol. Indic. 67 (2016), 753–768.
27. Hillary, R., Environmental management systems and the smaller enterprise. J. Clean. Prod. 12:6 (2004), 561–569.
28. Hsu, C.-C., Tan, K.C., Zailani, S.H.M., Jayaraman, V., Supply chain drivers that foster the development of green initiatives in an emerging economy. Int. J. Oper. Prod. Manage. 33:6 (2013), 656–688.
29. Jalalifar, S., Hafshejani, K., Application of DEMATEL method for evaluation of the effective barriers in GSCM implementation. N. Y. Sci. 6:11 (2013), 1–7.
30. Jindal, A., Sangwan, K.S., Development of an interpretive structural model of drivers for reverse logistics implementation in Indian industry. Int. J. Bus. Perform. Supply Chain Model. 5:4 (2013), 325–342.
31. Ju-Long, D., Control problems of grey systems. Syst. Control Lett. 1:5 (1982), 288–294.
32. Kannan, D., Diabat, A., Shankar, K.M., Analyzing the drivers of end-of-life tire management using interpretive structural modeling (ISM). Int. J. Adv. Manuf. Technol. 72:9–12 (2014), 1603–1614.
33. Kapetanopoulou, P., Tagaras, G., Drivers and obstacles of product recovery activities in the Greek industry. Int. J. Oper. Prod. Manage. 31:2 (2011), 148–166.
34. Khor, K.S., Udin, Z.M., Ramayah, T., Hazen, B.T., Reverse logistics in Malaysia: the contingent role of institutional pressure. Int. J. Prod. Econ. 175 (2016), 96–108.
35. Kim, S.T., Lee, S.Y., Stakeholder pressure and the adoption of environmental logistics practices: is eco-oriented culture a missing link?. Int. J. Logist. Manage. 23:2 (2012), 238–258.
36. Lau, K.H., Wang, Y., Reverse logistics in the electronic industry of China: a case study. Supply Chain Manage.: Int. J. 14:6 (2009), 447–465.
37. Li, P., Tan, T., Lee, J., Grey relational analysis of amine inhibition of mild steel corrosion in acids. Corrosion 53:3 (1997), 186–194.
38. Mangla, S., Madaan, J., Chan, F.S., Analysis of performance focused variables for multi-objective flexible decision modeling approach of product recovery systems. Global J. Flex. Syst. Manage. 13:2 (2012), 77–86.
39. Mangla, S., Kumar, P., Barua, M.K., An evaluation of attribute for improving the green supply chain performance via DEMATEL method. Int. J. Mech. Eng. Rob. Res. 1:1 (2014), 30–35.
40. Mangla, S.K., Govindan, K., Luthra, S., Critical success factors for reverse logistics in Indian industries: a structural model. J. Clean. Prod. 129:0 (2016), 608–621.
41. Martins, P.P.P., Boaventura, J.M.G., Fischmann, A.A., Costa, B.K., Spers, R.G., Scenarios for the Brazilian road freight transport industry. Foresight 14:3 (2012), 207–224.
42. Mitchell, R.K., Agle, B.R., Wood, D.J., Toward a theory of stakeholder identification and salience: defining the principle of who and what really counts. Acad. Manage. Rev. 22:4 (1997), 853–886.
43. Naiming Xie, D.Y.Y., Chuanmin Mi, P., Huang, Y., Development prediction of logistics industry in Henan province and its dynamic analysis. Grey Syst.: Theory Appl. 4:2 (2014), 186–194.
44. Nikolaou, I.E., Evangelinos, K.I., Allan, S., A reverse logistics social responsibility evaluation framework based on the triple bottom line approach. J. Clean. Prod. 56:1 (2013), 173–184.
45. Nunes, K.R.A., Mahler, C.F., Valle, R.A., Reverse logistics in the Brazilian construction industry. J. Environ. Manage. 90:12 (2009), 3717–3720.
46. Pumpinyo, S., Nitivattananon, V., Investigation of barriers and factors affecting the reverse logistics of waste management practice: a case study in Thailand. Sustainability 6:10 (2014), 7048–7062.
47. Ravi, V., Shankar, R., Analysis of interactions among the barriers of reverse logistics. Technol. Forecast. Soc. Change 72:8 (2005), 1011–1029.
48. Rogers, D.S., Tibben-Lembke, R.S., 1999, Reverse Logistics Executive Council, Pittsburgh, PA.
49. Rogers, D.S., Tibben-Lembke, R., An examination of reverse logistics practices. J. Bus. Logist. 22:2 (2001), 129–148.
50. Sarkis, J., Zhu, Q., Lai, K.-h., An organizational theoretic review of green supply chain management literature. Int. J. Prod. Econ. 130:1 (2011), 1–15.
51. Shaharudin, M.R., Zailani, S., Tan, K.C., Barriers to product returns and recovery management in a developing country: investigation using multiple methods. J. Clean. Prod. 96:0 (2014), 220–232, 10.1016/j.jclepro.2013.1012.1071.
52. Shaik, M.N., Abdul-Kader, W., Transportation in reverse logistics enterprise: a comprehensive performance measurement methodology. Prod. Plann. Control 24:6 (2013), 495–510.
53. Shaik, M.N., Abdul-Kader, W., Comprehensive performance measurement and causal-effect decision making model for reverse logistics enterprise. Comput. Ind. Eng. 68 (2014), 87–103.
54. Sharma, S., Panda, B., Mahapatra, S., Sahu, S., Analysis of barriers for reverse logistics: an Indian perspective. Int. J. Model. Optim. 1:2 (2011), 101–106.
55. Sharma, S.K., Mahapatra, S.S., Parappagoudar, M.B., Benchmarking of product recovery alternatives in reverse logistics. Benchmarking: Int. J. 23:2 (2016), 406–424.
56. Srivastava, S.K., Network design for reverse logistics. Omega 36:4 (2008), 535–548.
57. Srivastava, S.K., Issues and challenges in reverse logistics. Gupta, S.M., (eds.) Reverse Supply Chains: Issues and Analysis, 2013, Taylor & Francis, Boca Raton, FL, 61–82.
58. Starostka-Patyk, M., Zawada, M., Pabian, A., Abed, M., Barriers to reverse logistics implementation in enterprises. 2013 International Conference on Advanced Logistics and Transport (ICALT), 2013, 506–511.
59. Su, C.-M., Horng, D.-J., Tseng, M.-L., Chiu, A.S.F., Wu, K.-J., Chen, H.-P., Improving sustainable supply chain management using a novel hierarchical grey-DEMATEL approach. J. Clean. Prod. 134:B (2016), 469–481.
60. Subramoniam, R., Huisingh, D., Chinnam, R.B., Subramoniam, S., Remanufacturing Decision-Making Framework (RDMF): research validation using the analytical hierarchical process. J. Clean. Prod. 40:0 (2013), 212–220.
61. Tsao, C.C., Wu, W.W., Evaluation of design conditions for compound special-core drilling composite materials using the fuzzy DEMATEL method. Int. J. Comput. Integr. Manuf. 27:11 (2014), 979–985.
62. Tseng, M.-L., A causal and effect decision making model of service quality expectation using grey-fuzzy DEMATEL approach. Expert Syst. Appl. 36:4 (2009), 7738–7748.
63. United_Nations, Resilient People, Resilient Planet: A Future Worth Choosing. 2012, United Nations, New York.
64. Van Der Wiel, A., Bossink, B., Masurel, E., Reverse logistics for waste reduction in cradle-to-cradle-oriented firms: waste management strategies in the Dutch metal industry. Int. J. Technol. Manage. 60:1–2 (2012), 96–113.
65. Wassenhove, L., Besiou, M., Complex problems with multiple stakeholders: how to bridge the gap between reality and OR/MS?. J. Bus. Econ. 83:1 (2013), 87–97.
66. Wu, W.-W., Lee, Y.-T., Developing global managers’ competencies using the fuzzy DEMATEL method. Expert Syst. Appl. 32:2 (2007), 499–507.
67. Xia, X., Govindan, K., Zhu, Q., Analyzing internal barriers for automotive parts remanufacturers in China using grey-DEMATEL approach. J. Clean. Prod. 87:0 (2014), 811–825.
68. Yamaguchi, D., Li, G.-D., Chen, L.-C., Nagai, M., Reviewing crisp, fuzzy, grey and rough mathematical models. GSIS 2007. IEEE International Conference on Grey Systems and Intelligent Services, 2007, 547–552.
69. Yang, Y., John, R., Grey systems and interval valued fuzzy sets. EUSFLAT Conf., 2003, 193–197.
70. Ying, L., Qinghua, Z., Xiqiang, X., Analysis of barriers to green food sustainable supply chain on grey-DEMATEL basis. Contemp. Econ. Manage., 6, 2013, 006.
71. Zhu, Q., Sarkis, J., Geng, Y., Barriers to environmentally-friendly clothing production among Chinese apparel companies. Asian Bus. Manage. 10:3 (2011), 425–452.
72. Zhu, Q., Sarkis, J., Lai, K.-h., Supply chain-based barriers for truck-engine remanufacturing in China. Transp. Res. Part E: Logist.Transp. Rev. 68 (2014), 103–117.