[en] This research paper aims to investigate the interdependent influences of barriers to implementing reverse logistics in the broad spectrum of processing activities in the conditions of an emerging economy. An effort was made to approach these barriers (i.e., organizational and management barriers, technical and technological barriers, and economic, financial, and market barriers) based on the relevant literature, predominant attitudes, and experts’ opinions, thus contributing to the body of knowledge in this domain. Determining the intensity of interdependent influences and the importance of barriers for implementing reverse logistics was performed to determine the most important (key) barriers that can be practically applied as guidelines for decision making. The Fuzzy DEMATEL method was used to determine the intensity of these influences on a sample of manufacturing companies in the Republic of Serbia. The results indicate that the most critical barriers to the successful implementation of reverse logistics are a lack of management support and cooperation with scientific institutions and professional associations to acquire knowledge and follow trends in the field.
Research center :
University of Novi Sad, Faculty of Technical Sciences
Disciplines :
Engineering, computing & technology: Multidisciplinary, general & others
Author, co-author :
Brkljač, Nebojša ; Faculty of Technical Sciences, University of Novi Sad, Novi Sad, Serbia
Delić, Milan ; Faculty of Technical Sciences, University of Novi Sad, Novi Sad, Serbia
OROSNJAK, Marko ; Faculty of Technical Sciences, University of Novi Sad, Novi Sad, Serbia
Medić, Nenad ; Faculty of Technical Sciences, University of Novi Sad, Novi Sad, Serbia ; Research and Development Institute for Artificial Intelligence of Serbia, Novi Sad, Serbia
Rakić, Slavko ; Faculty of Technical Sciences, University of Novi Sad, Novi Sad, Serbia
Popović, Ljiljana ; Faculty of Technical Sciences, University of Novi Sad, Novi Sad, Serbia
External co-authors :
yes
Language :
English
Title :
Interdependent Influences of Reverse Logistics Implementation Barriers in the Conditions of an Emerging Economy
Alternative titles :
[en] Interdependent Influences of Reverse Logistics Implementation Barriers in the Conditions of an Emerging Economy
Original title :
[en] Interdependent Influences of Reverse Logistics Implementation Barriers in the Conditions of an Emerging Economy
Publication date :
August 2024
Journal title :
Mathematics
eISSN :
2227-7390
Publisher :
Multidisciplinary Digital Publishing Institute (MDPI)
Special issue title :
Fuzzy Sets, Fuzzy Numbers, Fuzzy Modeling, and Their Applications in Management and Engineering, 2nd Edition
Volume :
12
Issue :
16
Pages :
2508
Peer reviewed :
Peer Reviewed verified by ORBi
Focus Area :
Computational Sciences
Development Goals :
9. Industry, innovation and infrastructure 17. Partnerships for the goals
Ministry of Science, Technological Development, and Innovation (Contract No. 451-03-65/2024-03/200156) and the Faculty of Technical Sciences, University of Novi Sad through project “Scientific and Artistic Research Work of Researchers in Teaching and Associate Positions at the Faculty of Technical Sciences, University of Novi Sad” (No. 01-3394/1)
Funders :
Ministry of Science, Technological Development, and Innovation Faculty of Technical Sciences, University of Novi Sad
Funding number :
451-03-65/2024-03/200156
Funding text :
This research has been supported by the Ministry of Science, Technological Development, and Innovation (Contract No. 451-03-65/2024-03/200156) and the Faculty of Technical Sciences, University of Novi Sad through project \u201CScientific and Artistic Research Work of Researchers in Teaching and Associate Positions at the Faculty of Technical Sciences, University of Novi Sad\u201D (No. 01-3394/1).
Govindan K. Soleimani H. A Review of Reverse Logistics and Closed-Loop Supply Chains: A Journal of Cleaner Production Focus J. Clean. Prod. 2017 142 371 384 10.1016/j.jclepro.2016.03.126
Prajapati H. Kant R. Shankar R. Bequeath Life to Death: State-of-Art Review on Reverse Logistics J. Clean. Prod. 2019 211 503 520 10.1016/j.jclepro.2018.11.187
Rachih H. Mhada F.Z. Chiheb R. Meta-Heuristics for Reverse Logistics: A Literature Review and Perspectives Comput. Ind. Eng. 2019 127 45 62 10.1016/j.cie.2018.11.058
Prakash C. Barua M.K. Pandya K.V. Barriers Analysis for Reverse Logistics Implementation in Indian Electronics Industry Using Fuzzy Analytic Hierarchy Process Procedia Soc. Behav. Sci. 2015 189 91 102 10.1016/j.sbspro.2015.03.203
Aparecida E. De Campos R. Tavana M. Schwengber Ten Caten C. Bouzon M. Carísio De Paula I. A Grey-DEMATEL Approach for Analyzing Factors Critical to the Implementation of Reverse Logistics in the Pharmaceutical Care Process Environ. Sci. Pollut. Res. 2021 28 14156 14176 10.1007/s11356-020-11138-8
Pimentel M. Arantes A. Cruz C.O. Barriers to the Adoption of Reverse Logistics in the Construction Industry: A Combined ISM and MICMAC Approach Sustainability 2022 14 15786 10.3390/su142315786
Soares T.d.S. Silva M.M. Santos S.M. A Hybrid Grey-DEMATEL Approach to Identify Barriers to the Implementation of an End-of-Life Vehicle Management System in Brazil J. Clean. Prod. 2023 386 135791 10.1016/j.jclepro.2022.135791
Dutta P. Talaulikar S. Xavier V. Kapoor S. Fostering Reverse Logistics in India by Prominent Barrier Identification and Strategy Implementation to Promote Circular Economy J. Clean. Prod. 2021 294 126241 10.1016/j.jclepro.2021.126241
Bouzon M. Govindan K. Rodriguez C.M.T. Campos L.M.S. Identification and Analysis of Reverse Logistics Barriers Using Fuzzy Delphi Method and AHP Resour. Conserv. Recycl. 2016 108 182 197 10.1016/j.resconrec.2015.05.021
Abdulrahman M.D. Gunasekaran A. Subramanian N. Critical Barriers in Implementing Reverse Logistics in the Chinese Manufacturing Sectors Int. J. Prod. Econ. 2014 147 460 471 10.1016/j.ijpe.2012.08.003
Lau K.H. Wang Y. Reverse Logistics in the Electronic Industry of China: A Case Study Supply Chain. Manag. An. Int. J. 2009 14 447 465
Kaviani M.A. Tavana M. Kumar A. Michnik J. Niknam R. de Campos E.A.R. An Integrated Framework for Evaluating the Barriers to Successful Implementation of Reverse Logistics in the Automotive Industry J. Clean. Prod. 2020 272 122714 10.1016/j.jclepro.2020.122714
Vieira B.d.O. Guarnieri P. e Silva L.C. Alfinito S. Prioritizing Barriers to Be Solved to the Implementation of Reverse Logistics of E-Waste in Brazil under a Multicriteria Decision Aid Approach Sustainability 2020 12 4337 10.3390/su12104337
Sarkis J. Zhu Q. Lai K. An Organizational Theoretic Review of Green Supply Chain Management Literature Int. J. Prod. Econ. 2011 130 1 15 10.1016/j.ijpe.2010.11.010
Zhang T. Chu J. Wang X. Liu X. Cui P. Development Pattern and Enhancing System of Automotive Components Remanufacturing Industry in China Resour. Conserv. Recycl. 2011 55 613 622 10.1016/j.resconrec.2010.09.015
Naseem M.H. Yang J. Xiang Z. Prioritizing the Solutions to Reverse Logistics Barriers for the E-Commerce Industry in Pakistan Based on a Fuzzy AHP-TOPSIS Approach Sustainability 2021 13 12743 10.3390/su132212743
U-Dominic C.M. Orji I.J. Okwu M. Analyzing the Barriers to Reverse Logistics (Rl) Implementation: A Hybrid Model Based on If-Dematel-Edas Sustainability 2021 13 10876 10.3390/su131910876
Waqas M. Dong Q.L. Ahmad N. Zhu Y. Nadeem M. Critical Barriers to Implementation of Reverse Logistics in the Manufacturing Industry: A Case Study of a Developing Country Sustainability 2018 10 4202 10.3390/su10114202
Erdiaw-Kwasie M.O. Abunyewah M. Baah C. A Systematic Review of the Factors—Barriers, Drivers, and Technologies—Affecting e-Waste Urban Mining: On the Circular Economy Future of Developing Countries J. Clean. Prod. 2024 436 140645 10.1016/j.jclepro.2024.140645
Hsu C. Choon Tan K. Hanim Mohamad Zailani S. Jayaraman V. Supply Chain Drivers That Foster the Development of Green Initiatives in an Emerging Economy Int. J. Oper. Prod. Manag. 2013 33 656 688 10.1108/IJOPM-10-2011-0401
Mhatre P. Gedam V.V. Unnikrishnan S. Raut R.D. Circular Economy Adoption Barriers in Built Environment- a Case of Emerging Economy J. Clean. Prod. 2023 392 136201 10.1016/j.jclepro.2023.136201
Sharma M. Joshi S. Prasad M. Bartwal S. Overcoming Barriers to Circular Economy Implementation in the Oil & Gas Industry: Environmental and Social Implications J. Clean. Prod. 2023 391 136133 10.1016/j.jclepro.2023.136133
Agrawal S. Singh R.K. Murtaza Q. A Literature Review and Perspectives in Reverse Logistics Resour. Conserv. Recycl. 2015 97 76 92 10.1016/j.resconrec.2015.02.009
Abdullah N.A.H.N. Yaakub S. Reverse Logistics: Pressure for Adoption and the Impact on Firm’s Performance Int. J. Bus. Soc. 2014 15 151 170
Tan K. Tian Y. Xu F. Li C. Research on Multi-Objective Optimal Scheduling for Power Battery Reverse Supply Chain Mathematics 2023 11 901 10.3390/math11040901
Guarnieri P. e Silva L.C. Levino N.A. Analysis of Electronic Waste Reverse Logistics Decisions Using Strategic Options Development Analysis Methodology: A Brazilian Case J. Clean. Prod. 2016 133 1105 1117 10.1016/j.jclepro.2016.06.025
Khor K.S. Udin Z.M. Reverse Logistics in Malaysia: Investigating the Effect of Green Product Design and Resource Commitment Resour. Conserv. Recycl. 2013 81 71 80 10.1016/j.resconrec.2013.08.005
Kaynak R. Koçoğlu İ. Akgün A.E. The Role of Reverse Logistics in the Concept of Logistics Centers Procedia Soc. Behav. Sci. 2014 109 438 442 10.1016/j.sbspro.2013.12.487
Rogers D.S. Tibben-Lembke R. An Examination of Reverse Logistics Practices J. Bus. Logist. 2001 22 129 148 10.1002/j.2158-1592.2001.tb00007.x
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. 2015 96 220 232 10.1016/j.jclepro.2013.12.071
Abdulrahman M.D. Subramanian N. Barriers in Implementing Reverse Logistics in Chinese Manufacturing Sectors: An Empirical Analysis Proceedings of the 23rd Annual POMS Conference Chicago, IL, USA 20–23 April 2012 1 17
Azadnia A.H. Onofrei G. Ghadimi P. Electric Vehicles Lithium-Ion Batteries Reverse Logistics Implementation Barriers Analysis: A TISM-MICMAC Approach Resour. Conserv. Recycl. 2021 174 105751 10.1016/j.resconrec.2021.105751
Prakash C. Barua M.K. Integration of AHP-TOPSIS Method for Prioritizing the Solutions of Reverse Logistics Adoption to Overcome Its Barriers under Fuzzy Environment J. Manuf. Syst. 2015 37 599 615 10.1016/j.jmsy.2015.03.001
Wang J.X. Burke H. Zhang A. Overcoming Barriers to Circular Product Design Int. J. Prod. Econ. 2022 243 108346 10.1016/j.ijpe.2021.108346
Brkljač N. Uticaj Primene Faktora Uspešnosti Povratne Logistike i Barijera za Implementaciju na Performanse Organizacije Ph.D. Thesis Univerzitet u Novom Sadu Novi Sad, Serbia 2017
Jack E.P. Powers T.L. Skinner L. Reverse Logistics Capabilities: Antecedents and Cost Savings Int. J. Phys. Distrib. Logist. Manag. 2010 40 228 246 10.1108/09600031011035100
Chinda T. Examination of Factors Influencing the Successful Implementation of Reverse Logistics in the Construction Industry: Pilot Study Procedia Eng. 2017 182 99 105 10.1016/j.proeng.2017.03.128
Chileshe N. Rameezdeen R. Lehmann S. Hosseini M.R. Reverse Logistics (RL) Implementation among Contractors in Australia: Practices and Barriers Proceedings of the 30th Annual ARCOM Conference Portsmouth, UK 1–3 September 2014 83 92
Wang Z. Mathiyazhagan K. Xu L. Diabat A. A Decision Making Trial and Evaluation Laboratory Approach to Analyze the Barriers to Green Supply Chain Management Adoption in a Food Packaging Company J. Clean. Prod. 2016 117 19 28 10.1016/j.jclepro.2015.09.142
Bouzon M. Govindan K. Rodriguez C.M.T. Evaluating Barriers for Reverse Logistics Implementation under a Multiple Stakeholders’ Perspective Analysis Using Grey Decision Making Approach Resour. Conserv. Recycl. 2016 128 315 335 10.1016/j.resconrec.2016.11.022
Jindal A. Sangwan K.S. Development of an Interpretive Structural Model of Barriers to Reverse Logistics Implementation in Indian Industry Glocalized Solutions for Sustainability in Manufacturing Hesselbach I. Jürgen P.C.H. Springer Berlin/Heidelberg, Germany 2011 Volume 1 448 453
Ravi V. Shankar R. Analysis of Interactions among the Barriers of Reverse Logistics Technol. Forecast. Soc. Chang. 2005 72 1011 1029 10.1016/j.techfore.2004.07.002
Ravi V. Shankar R. Survey of Reverse Logistics Practices in Manufacturing Industries: An Indian Context Benchmarking An. Int. J. 2015 22 874 899 10.1108/BIJ-06-2013-0066
Govindan K. Kaliyan M. Kannan D. Haq A.N. Barriers Analysis for Green Supply Chain Management Implementation in Indian Industries Using Analytic Hierarchy Process Int. J. Prod. Econ. 2014 147 555 568 10.1016/j.ijpe.2013.08.018
Sharma S.K. Panda B.N. Mahapatra S.S. Sahu S. Analysis of Barriers for Reverse Logistics: An Indian Perspective Int. J. Model. Optim. 2011 1 101 106 10.7763/IJMO.2011.V1.18
Murillo-Luna J.L. Garcés-Ayerbe C. Rivera-Torres P. Barriers to the Adoption of Proactive Environmental Strategies J. Clean. Prod. 2011 19 1417 1425 10.1016/j.jclepro.2011.05.005
Mathiyazhagan K. Govindan K. NoorulHaq A. Geng Y. An ISM Approach for the Barrier Analysis in Implementing Green Supply Chain Management J. Clean. Prod. 2013 47 283 297 10.1016/j.jclepro.2012.10.042
Jayant A. Azhar M. Analysis of the Barriers for Implementing Green Supply Chain Management (GSCM) Practices: An Interpretive Structural Modeling (ISM) Approach Procedia Eng. 2014 97 2157 2166 10.1016/j.proeng.2014.12.459
Prajapati H. Kant R. Shankar R. Prioritizing the Solutions of Reverse Logistics Implementation to Mitigate Its Barriers: A Hybrid Modified SWARA and WASPAS Approach J. Clean. Prod. 2019 240 118219 10.1016/j.jclepro.2019.118219
Jalalifar S. Hafshejani K.F. Application of DEMATEL Method for Evaluation of the Effective Barriers in GSCM Implementation N. Y. Sci. J. 2013 6 78 83
Prakash C. Barua M.K. A Multi-Criteria Decision-Making Approach for Prioritizing Reverse Logistics Adoption Barriers under Fuzzy Environment: Case of Indian Electronics Industry Glob. Bus. Rev. 2016 17 1107 1124 10.1177/0972150916656667
Walker H. Di Sisto L. McBain D. Drivers and Barriers to Environmental Supply Chain Management Practices: Lessons from the Public and Private Sectors J. Purch. Supply Manag. 2008 14 69 85 10.1016/j.pursup.2008.01.007
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. Manag. 2010 21 889 904 10.1111/j.1467-8551.2009.00655.x
Bhatia M.S. Srivastava R.K. Analysis of External Barriers to Remanufacturing Using Grey-DEMATEL Approach: An Indian Perspective Resour. Conserv. Recycl. 2018 136 79 87 10.1016/j.resconrec.2018.03.021
Lamba D. Yadav D.K. Barve A. Panda G. Prioritizing Barriers in Reverse Logistics of E-Commerce Supply Chain Using Fuzzy-Analytic Hierarchy Process Electron. Commer. Res. 2020 20 381 403 10.1007/s10660-019-09333-y
Rameezdeen R. Chileshe N. Hosseini M.R. Lehmann S. A Qualitative Examination of Major Barriers in Implementation of Reverse Logistics within the South Australian Construction Sector Int. J. Constr. Manag. 2016 16 185 196 10.1080/15623599.2015.1110275
Xia X. Govindan K. Zhu Q. Analyzing Internal Barriers for Automotive Parts Remanufacturers in China Using Grey-DEMATEL Approach J. Clean. Prod. 2015 87 811 825 10.1016/j.jclepro.2014.09.044
Janse B. Schuur P. De Brito M.P. A Reverse Logistics Diagnostic Tool: The Case of the Consumer Electronics Industry Int. J. Adv. Manuf. Technol. 2010 47 495 513 10.1007/s00170-009-2333-z
Kissling R. Coughlan D. Fitzpatrick C. Boeni H. Luepschen C. Andrew S. Dickenson J. Success Factors and Barriers in Re-Use of Electrical and Electronic Equipment Resour. Conserv. Recycl. 2013 80 21 31 10.1016/j.resconrec.2013.07.009
Shaik M.N. Abdul-Kader W. Comprehensive Performance Measurement and Causal-Effect Decision Making Model for Reverse Logistics Enterprise Comput. Ind. Eng. 2014 68 87 103 10.1016/j.cie.2013.12.008
Gandhi S. Mangla S.K. Kumar P. Kumar D. Evaluating Factors in Implementation of Successful Green Supply Chain Management Using DEMATEL: A Case Study Int. Strateg. Manag. Rev. 2015 3 96 109 10.1016/j.ism.2015.05.001
Mangla S.K. Govindan K. Luthra S. Critical Success Factors for Reverse Logistics in Indian Industries: A Structural Model J. Clean. Prod. 2016 129 608 621 10.1016/j.jclepro.2016.03.124
Rahman S. Subramanian N. Factors for Implementing End-of-Life Computer Recycling Operations in Reverse Supply Chains Int. J. Prod. Econ. 2012 140 239 248 10.1016/j.ijpe.2011.07.019
Wu H.-H. Chang S.-Y. A Case Study of Using DEMATEL Method to Identify Critical Factors in Green Supply Chain Management Appl. Math. Comput. 2015 256 394 403 10.1016/j.amc.2015.01.041
Kayikci Y. Kazancoglu Y. Lafci C. Gozacan N. Exploring Barriers to Smart and Sustainable Circular Economy: The Case of an Automotive Eco-Cluster J. Clean. Prod. 2021 314 127920 10.1016/j.jclepro.2021.127920
Khan S.A. Mubarik M.S. Paul S.K. Analyzing Cause and Effect Relationships among Drivers and Barriers to Circular Economy Implementation in the Context of an Emerging Economy J. Clean. Prod. 2022 364 132618 10.1016/j.jclepro.2022.132618
Gedam V.V. Raut R.D. Lopes de Sousa Jabbour A.B. Tanksale A.N. Narkhede B.E. Circular Economy Practices in a Developing Economy: Barriers to Be Defeated J. Clean. Prod. 2021 311 127670 10.1016/j.jclepro.2021.127670
Tzeng G.-H. Huang J.-J. Multiple Attribute Decision Making CRC Press, Taylor & Francis Group Boca Raton, FL, USA 2011 978-1-4398-6157-8
Vujanović D.B. Contribution to the Development of the Vehicle Fleet Maintenance Management Ph.D. Thesis University of Belgrade Belgrade, Serbia 2013
Falatoonitoosi E. Leman Z. Sorooshian S. Salimi M. Decision-Making Trial and Evaluation Laboratory Res. J. Appl. Sci. Eng. Technol. 2013 5 3476 3480 10.19026/rjaset.5.4475
Shao J. Taisch M. Ortega M. Elisa D. Application of the DEMATEL Method to Identify Relations among Barriers between Green Products and Consumers Proceedings of the 17th European Roundtable on Sustainable Consumption and Production—ERSCP 2014 Portoroz, Slovenia 14–16 October 2014 1029 1040
Shao J. Taisch M. Ortega-Mier M. A Grey-DEcision-MAking Trial and Evaluation Laboratory (DEMATEL) Analysis on the Barriers between Environmentally Friendly Products and Consumers: Practitioners’ Viewpoints on the European Automobile Industry J. Clean. Prod. 2016 112 3185 3194 10.1016/j.jclepro.2015.10.113
Li C.-W. Tzeng G.-H. Identification of a Threshold Value for the DEMATEL Method Using the Maximum Mean De-Entropy Algorithm to Find Critical Services Provided by a Semiconductor Intellectual Property Mall Expert. Syst. Appl. 2009 36 9891 9898 10.1016/j.eswa.2009.01.073
Tzeng G.-H. Chen W.-H. Yu R. Shih M.-L. Fuzzy Decision Maps: A Generalization of the DEMATEL Methods Soft Comput. 2010 14 1141 1150 10.1007/s00500-009-0507-0
Patil S.K. Kant R. A Hybrid Approach Based on Fuzzy DEMATEL and FMCDM to Predict Success of Knowledge Management Adoption in Supply Chain Appl. Soft Comput. J. 2014 18 126 135 10.1016/j.asoc.2014.01.027
Büyüközkan G. Ifi G. A Novel Hybrid MCDM Approach Based on Fuzzy DEMATEL, Fuzzy ANP and Fuzzy TOPSIS to Evaluate Green Suppliers Expert. Syst. Appl. 2012 39 3000 3011 10.1016/j.eswa.2011.08.162
Tadić S. Zečević S. Krstić M. A Novel Hybrid MCDM Model Based on Fuzzy DEMATEL, Fuzzy ANP and Fuzzy VIKOR for City Logistics Concept Selection Expert. Syst. Appl. 2014 41 8112 8128 10.1016/j.eswa.2014.07.021
Wu H.H. Chen H.K. Shieh J.I. Evaluating Performance Criteria of Employment Service Outreach Program Personnel by DEMATEL Method Expert. Syst. Appl. 2010 37 5219 5223 10.1016/j.eswa.2009.12.068
He H. Cheng H. Analyzing Key Influence Factors of City Logistics Development Using the Fuzzy Decision Making Trial and Evaluation Laboratory (DEMATEL) Method Afr. J. Bus. Manag. 2012 6 11281 11293 10.5897/AJBM12.429
Wu K.J. Liao C.J. Tseng M.L. Chiu A.S.F. Exploring Decisive Factors in Green Supply Chain Practices under Uncertainty Int. J. Prod. Econ. 2015 159 147 157 10.1016/j.ijpe.2014.09.030
Sumrit D. Anuntavoranich P. Using DEMATEL Method to Analyze the Causal Relations on Technological Innovation Capability Evaluation Factors in Thai Technology-Based Firms Int. Trans. J. Eng. Manag. Appl. Sci. Technol. 2013 4 81 103
Paul J. Chris H. Sam C.A.T. Shams Rahman and Qingda (Peter) Yuan A Fuzzy DEMATEL Approach to Assess Determinants of Efficient Kerbside Waste Management in an Urban Context People and the Planet 2013 Conference: Transforming the Future Global Cities Research Institute, RMIT University Melbourne, Australia 2013 1 14
Hsu C.Y. Chen K.T. Tzeng G.H. FMCDM with Fuzzy DEMATEL Approach for Customers’ Choice Behavior Model Int. J. Fuzzy Syst. 2007 9 236 246
Govindan K. Bouzon M. From a Literature Review to a Multi-Perspective Framework for Reverse Logistics Barriers and Drivers J. Clean. Prod. 2018 187 318 337 10.1016/j.jclepro.2018.03.040
