IDEAS home Printed from https://ideas.repec.org/a/eee/joreco/v26y2015icp153-167.html
   My bibliography  Save this article

Analysis on supply chain risks in Indian apparel retail chains and proposal of risk prioritization model using Interpretive structural modeling

Author

Listed:
  • Venkatesh, V.G.
  • Rathi, Snehal
  • Patwa, Sriyans

Abstract

Indian apparel retail industry is on a complete transformation journey and trying to evolve as an organized industry. It is very common to find the disruption factors in every business and the ways to mitigate and manage them is of current research interest. The paper discusses the selective risks associated with the apparel retail supply chains in India by structural analysis of the controllable risks that are identified. The work also reveals the use of Interpretative Structural Modeling (ISM) to establish the interdependencies between these risks spread across various supply chain functions of retail industry. The relationships are established based on expert opinions using Delphi technique followed by ISM modeling technique and Fuzzy MICMAC analysis. It also classifies the risk factors based on their driving and dependence power. ISM is proved to be a useful tool to help understand the impact of risks at stages of retail supply chain. Globalization, labor issues and security and safety of resources turns out to be the strong drivers of other supply chain uncertainties. The domino effect of these risks leads to financial crises for the organization.

Suggested Citation

  • Venkatesh, V.G. & Rathi, Snehal & Patwa, Sriyans, 2015. "Analysis on supply chain risks in Indian apparel retail chains and proposal of risk prioritization model using Interpretive structural modeling," Journal of Retailing and Consumer Services, Elsevier, vol. 26(C), pages 153-167.
  • Handle: RePEc:eee:joreco:v:26:y:2015:i:c:p:153-167
    DOI: 10.1016/j.jretconser.2015.06.001
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0969698915000673
    Download Restriction: Full text for ScienceDirect subscribers only

    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. Wang, GuoHong & Wang, YunXia & Zhao, Tao, 2008. "Analysis of interactions among the barriers to energy saving in China," Energy Policy, Elsevier, vol. 36(6), pages 1879-1889, June.
    2. Tang, Christopher S., 2006. "Perspectives in supply chain risk management," International Journal of Production Economics, Elsevier, vol. 103(2), pages 451-488, October.
    3. Wei, Ying & Choi, Tsan-Ming, 2010. "Mean-variance analysis of supply chains under wholesale pricing and profit sharing schemes," European Journal of Operational Research, Elsevier, vol. 204(2), pages 255-262, July.
    4. Anna Corinna Cagliano & Alberto De Marco & Sabrina Grimaldi & Carlo Rafele, 2012. "An integrated approach to supply chain risk analysis," Journal of Risk Research, Taylor & Francis Journals, vol. 15(7), pages 817-840, August.
    5. Tommaso Rossi & Margherita Pero, 2012. "A formal method for analysing and assessing operational risk in supply chains," International Journal of Operational Research, Inderscience Enterprises Ltd, vol. 13(1), pages 90-109.
    6. repec:pal:jorsoc:v:58:y:2007:i:11:d:10.1057_palgrave.jors.2602412 is not listed on IDEAS
    7. repec:pal:jorsoc:v:58:y:2007:i:11:d:10.1057_palgrave.jors.2602410 is not listed on IDEAS
    8. Ashish Soti & O.P. Kaushal & Ravi Shankar, 2011. "Modelling the barriers of Six Sigma using interpretive structural modelling," International Journal of Business Excellence, Inderscience Enterprises Ltd, vol. 4(1), pages 94-110.
    9. Goh, Mark & Lim, Joseph Y.S. & Meng, Fanwen, 2007. "A stochastic model for risk management in global supply chain networks," European Journal of Operational Research, Elsevier, vol. 182(1), pages 164-173, October.
    10. Tang, Ou & Nurmaya Musa, S., 2011. "Identifying risk issues and research advancements in supply chain risk management," International Journal of Production Economics, Elsevier, vol. 133(1), pages 25-34, September.
    11. WEI, Ying & CHOI, Tsan-Ming, 2010. "Mean-variance analysis of supply chains under wholesale pricing and profit sharing schemes," CORE Discussion Papers RP 2186, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    12. Hallikas, Jukka & Karvonen, Iris & Pulkkinen, Urho & Virolainen, Veli-Matti & Tuominen, Markku, 2004. "Risk management processes in supplier networks," International Journal of Production Economics, Elsevier, vol. 90(1), pages 47-58, July.
    13. Wu, Desheng & Olson, David L., 2008. "Supply chain risk, simulation, and vendor selection," International Journal of Production Economics, Elsevier, vol. 114(2), pages 646-655, August.
    14. Klibi, Walid & Martel, Alain, 2012. "Scenario-based Supply Chain Network risk modeling," European Journal of Operational Research, Elsevier, vol. 223(3), pages 644-658.
    15. Hallikas, Jukka & Virolainen, Veli-Matti & Tuominen, Markku, 2002. "Risk analysis and assessment in network environments: A dyadic case study," International Journal of Production Economics, Elsevier, vol. 78(1), pages 45-55, July.
    16. O. Lavastre & A. Gunasekaran & Alain Spalanzani, 2012. "Supply chain risk management in french companies," Post-Print halshs-00740450, HAL.
    17. Pfohl, Hans-Christian & Gallus, Philipp & Thomas, David, 2011. "Interpretive structural modeling of supply chain risks," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 55230, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).
    18. Li, Haitao & Womer, Keith, 2012. "Optimizing the supply chain configuration for make-to-order manufacturing," European Journal of Operational Research, Elsevier, vol. 221(1), pages 118-128.
    19. Mohd Nishat Faisal & D.K. Banwet & Ravi Shankar, 2007. "Supply chain risk management in SMEs: analysing the barriers," International Journal of Management and Enterprise Development, Inderscience Enterprises Ltd, vol. 4(5), pages 588-607.
    20. Arcelus, F.J. & Kumar, Satyendra & Srinivasan, G., 2012. "Risk tolerance and a retailer's pricing and ordering policies within a newsvendor framework," Omega, Elsevier, vol. 40(2), pages 188-198, April.
    21. Tang, Christopher & Tomlin, Brian, 2008. "The power of flexibility for mitigating supply chain risks," International Journal of Production Economics, Elsevier, vol. 116(1), pages 12-27, November.
    22. Lee, Chang Hwan & Rhee, Byong-Duk, 2011. "Trade credit for supply chain coordination," European Journal of Operational Research, Elsevier, vol. 214(1), pages 136-146, October.
    23. R. Anbanandam, 2011. "Evaluation of supply chain collaboration: a case of apparel retail industry in India," International Journal of Productivity and Performance Management, Emerald Group Publishing, vol. 60(2), pages 82-98, January.
    24. Oke, Adegoke & Gopalakrishnan, Mohan, 2009. "Managing disruptions in supply chains: A case study of a retail supply chain," International Journal of Production Economics, Elsevier, vol. 118(1), pages 168-174, March.
    25. Holweg, Matthias & Reichhart, Andreas & Hong, Eui, 2011. "On risk and cost in global sourcing," International Journal of Production Economics, Elsevier, vol. 131(1), pages 333-341, May.
    26. repec:eee:jouret:v:85:y:2009:i:1:p:84-94 is not listed on IDEAS
    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. repec:eee:renene:v:118:y:2018:i:c:p:615-626 is not listed on IDEAS
    2. repec:spr:gjofsm:v:19:y:2018:i:1:d:10.1007_s40171-017-0176-2 is not listed on IDEAS
    3. repec:spr:gjofsm:v:18:y:2017:i:3:d:10.1007_s40171-017-0160-x is not listed on IDEAS
    4. Rajesh, R., 2017. "Technological capabilities and supply chain resilience of firms: A relational analysis using Total Interpretive Structural Modeling (TISM)," Technological Forecasting and Social Change, Elsevier, vol. 118(C), pages 161-169.
    5. repec:spr:gjofsm:v:18:y:2017:i:4:d:10.1007_s40171-017-0167-3 is not listed on IDEAS

    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:eee:joreco:v:26:y:2015:i:c:p:153-167. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Dana Niculescu). General contact details of provider: https://www.journals.elsevier.com/journal-of-retailing-and-consumer-services .

    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 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.

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

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.