IDEAS home Printed from https://ideas.repec.org/a/spr/opsear/v58y2021i3d10.1007_s12597-020-00496-z.html
   My bibliography  Save this article

Pathways towards reverse logistics adoption in Indian educational institutes: a challenging factors analysis

Author

Listed:
  • K. Mathiyazhagan

    (Amity School of Engineering and Technology, Amity University)

  • Srijit Krishnan

    (Amity School of Engineering and Technology, Amity University)

  • Uma Bharathi

    (The NorthCap University)

  • Andrea Appolloni

    (University of Rome Tor Vergata
    National Research Council (CNR))

Abstract

Reverse logistics (RL) has been proven to have a positive effect on addressing the issue of effectively utilizing resources. India has a population of over one billion people with most of it dominated by youth. Developing RL strategies and exposing it to students will encourage them to find ways to manage the limited resources available in our country. This study is focused on identifying the challenges of RL implementation in education institutes in India and finding the inter-relationship among them. The most crucial barrier to RL implementation in educational institutes is also sought in the process. We initially review the RL practices in the Indian sub-continent to examine the challenges of effectively implementing RL. We then identify the challenges of RL based on literature and discussions with experts from the education industry. The experts selected for this study include administrators from schools and universities in Kerala, India (South India). A survey was conducted in two phases. The Fuzzy-DEMATEL technique was applied to determine the inter-relationship between the challenges and obtain the causal diagram. Initially, 45 challenges were identified. Based on responses from experts from phase one of the survey, it was narrowed down to 29 crucial challenges. A pairwise comparison among the challenges was then done by experts in the education field. Finally, on the application of Fuzzy-DEMATEL, a causal diagram was generated to indicate the extent of influence of the RL challenges. Our findings indicate that educational institutions are faced with lack of awareness about reverse logistic, lack of responsibilities about environment, resistance to change, lack of supplies on supplier end, lack of knowledge, and no proper outlet for disposal in managing RL operations in educational institutes. The challenges identified in our study is unique to the Indian sub-continent and provides a result based on the current scenario of RL implementation in Indian educational institutes. The findings from our study indicate a unique perspective of RL implementation challenges. We analyzed 29 challenges to obtain our findings. Furthermore, we use Fuzzy-DEMATEL as our analysis tool to facilitate finding results. We present this as the uniqueness of our study from the available literature.

Suggested Citation

  • K. Mathiyazhagan & Srijit Krishnan & Uma Bharathi & Andrea Appolloni, 2021. "Pathways towards reverse logistics adoption in Indian educational institutes: a challenging factors analysis," OPSEARCH, Springer;Operational Research Society of India, vol. 58(3), pages 661-689, September.
    • Handle: RePEc:spr:opsear:v:58:y:2021:i:3:d:10.1007_s12597-020-00496-z
    DOI: 10.1007/s12597-020-00496-z
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s12597-020-00496-z
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.
    File URL: https://libkey.io/10.1007/s12597-020-00496-z?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Kannan, Govindan & Pokharel, Shaligram & Sasi Kumar, P., 2009. "A hybrid approach using ISM and fuzzy TOPSIS for the selection of reverse logistics provider," Resources, Conservation & Recycling, Elsevier, vol. 54(1), pages 28-36.
    2. Govindan, Kannan & Kaliyan, Mathiyazhagan & Kannan, Devika & Haq, A.N., 2014. "Barriers analysis for green supply chain management implementation in Indian industries using analytic hierarchy process," International Journal of Production Economics, Elsevier, vol. 147(PB), pages 555-568.
    3. Malik Asghar Naeem & Richard Welford, 2009. "A comparative study of corporate social responsibility in Bangladesh and Pakistan," Corporate Social Responsibility and Environmental Management, John Wiley & Sons, vol. 16(2), pages 108-122, March.
    4. Bouzon, Marina & Govindan, Kannan & Rodriguez, Carlos M.Taboada & Campos, Lucila M.S., 2016. "Identification and analysis of reverse logistics barriers using fuzzy Delphi method and AHP," Resources, Conservation & Recycling, Elsevier, vol. 108(C), pages 182-197.
    5. Unknown, 2005. "Forward," 2005 Conference: Slovenia in the EU - Challenges for Agriculture, Food Science and Rural Affairs, November 10-11, 2005, Moravske Toplice, Slovenia 183804, Slovenian Association of Agricultural Economists (DAES).
    6. Joseph Sarkis & Marilyn Michelle Helms & Aref A. Hervani, 2010. "Reverse logistics and social sustainability," Corporate Social Responsibility and Environmental Management, John Wiley & Sons, vol. 17(6), pages 337-354, November.
    7. Sachin K. Patil & Ravi Kant, 2014. "Ranking the barriers of knowledge management adoption in supply chain using fuzzy AHP method," International Journal of Business Innovation and Research, Inderscience Enterprises Ltd, vol. 8(1), pages 52-75.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Bo Wang & Ning Wang, 2022. "Decision Models for a Dual-Recycling Channel Reverse Supply Chain with Consumer Strategic Behavior," Sustainability, MDPI, vol. 14(17), pages 1-18, August.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Bouzon, Marina & Govindan, Kannan & Rodriguez, Carlos M.Taboada & Campos, Lucila M.S., 2016. "Identification and analysis of reverse logistics barriers using fuzzy Delphi method and AHP," Resources, Conservation & Recycling, Elsevier, vol. 108(C), pages 182-197.
    2. Agrawal, Saurabh & Singh, Rajesh K. & Murtaza, Qasim, 2016. "Outsourcing decisions in reverse logistics: Sustainable balanced scorecard and graph theoretic approach," Resources, Conservation & Recycling, Elsevier, vol. 108(C), pages 41-53.
    3. Laura Maria Ferri & Nelly Oelze & André Habisch & Mario Molteni, 2016. "Implementation of responsible Procurement Management: An Institutional Perspective," Business Strategy and the Environment, Wiley Blackwell, vol. 25(4), pages 261-276, May.
    4. Ozden Tozanli & Gazi Murat Duman & Elif Kongar & Surendra M. Gupta, 2017. "Environmentally Concerned Logistics Operations in Fuzzy Environment: A Literature Survey," Logistics, MDPI, vol. 1(1), pages 1-42, June.
    5. Wei Shan & Jingyi Wang, 2018. "Mapping the Landscape and Evolutions of Green Supply Chain Management," Sustainability, MDPI, vol. 10(3), pages 1-23, February.
    6. V. G. Venkatesh & Abraham Zhang & Eric Deakins & Sunil Luthra & S. Mangla, 2019. "A fuzzy AHP-TOPSIS approach to supply partner selection in continuous aid humanitarian supply chains," Annals of Operations Research, Springer, vol. 283(1), pages 1517-1550, December.
    7. Devendra K. Yadav & Akhilesh Barve, 2019. "Prioritization of cyclone preparedness activities in humanitarian supply chains using fuzzy analytical network process," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 97(2), pages 683-726, June.
    8. Kaihan Yang & Ai Chin Thoo, 2023. "Visualising the Knowledge Domain of Reverse Logistics and Sustainability Performance: Scientometric Mapping Based on VOSviewer and CiteSpace," Sustainability, MDPI, vol. 15(2), pages 1-23, January.
    9. Md. Raquibuzzaman Khan & Mohammad Jahangir Alam & Nazia Tabassum & Niaz Ahmed Khan, 2022. "A Systematic Review of the Delphi–AHP Method in Analyzing Challenges to Public-Sector Project Procurement and the Supply Chain: A Developing Country’s Perspective," Sustainability, MDPI, vol. 14(21), pages 1-20, October.
    10. Sajid Ullah & Naveed Ahmad & Farman Ullah Khan & Alina Badulescu & Daniel Badulescu, 2021. "Mapping Interactions among Green Innovations Barriers in Manufacturing Industry Using Hybrid Methodology: Insights from a Developing Country," IJERPH, MDPI, vol. 18(15), pages 1-25, July.
    11. Fengsheng Chien & Hafiz Waqas Kamran & Muhammad Atif Nawaz & Nguyen Ngoc Thach & Pham Dinh Long & Zulfiqar Ali Baloch, 2022. "Assessing the prioritization of barriers toward green innovation: small and medium enterprises Nexus," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 24(2), pages 1897-1927, February.
    12. Tamoor Azam & Songjiang Wang & Muhammad Mohsin & Muhammad Nazam & Muhammad Hashim & Sajjad Ahmad Baig & Muhammad Zia-ur-Rehman, 2021. "Does Stakeholder Pressure Matters in Adopting Sustainable Supply Chain Initiatives? Insights from Agro-Based Processing Industry," Sustainability, MDPI, vol. 13(13), pages 1-30, June.
    13. Pilar Lopez-Llompart & G. Mathias Kondolf, 2016. "Encroachments in floodways of the Mississippi River and Tributaries Project," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 81(1), pages 513-542, March.
    14. Cheng, Jianquan & Bertolini, Luca, 2013. "Measuring urban job accessibility with distance decay, competition and diversity," Journal of Transport Geography, Elsevier, vol. 30(C), pages 100-109.
    15. M. De Donno & M. Pratelli, 2006. "A theory of stochastic integration for bond markets," Papers math/0602532, arXiv.org.
    16. Prilly Oktoviany & Robert Knobloch & Ralf Korn, 2021. "A machine learning-based price state prediction model for agricultural commodities using external factors," Decisions in Economics and Finance, Springer;Associazione per la Matematica, vol. 44(2), pages 1063-1085, December.
    17. Michelle Sheran Sylvester, 2007. "The Career and Family Choices of Women: A Dynamic Analysis of Labor Force Participation, Schooling, Marriage and Fertility Decisions," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 10(3), pages 367-399, July.
    18. Henrekson, Magnus & Johansson, Dan, 2010. "Firm Growth, Institutions and Structural Transformation," Ratio Working Papers 150, The Ratio Institute.
    19. Karen K. Lewis, 2011. "Global Asset Pricing," Annual Review of Financial Economics, Annual Reviews, vol. 3(1), pages 435-466, December.
    20. DAVID M. BLAU & WILBERT van der KLAAUW, 2013. "What Determines Family Structure?," Economic Inquiry, Western Economic Association International, vol. 51(1), pages 579-604, January.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:opsear:v:58:y:2021:i:3:d:10.1007_s12597-020-00496-z. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.