IDEAS home Printed from https://ideas.repec.org/a/rfh/jprjor/v9y2023i2p548-564.html
   My bibliography  Save this article

Using the Binary Matrices for Modeling the Supply Chain Issues of Virtual Shops: An Evidence from Pakistan

Author

Listed:
  • Abdul Aziz Khan Niazi

    (Department of Management Sciences, University of Engineering and Technology, Lahore, Pakistan)

  • Tehmina Fiaz Qazi

    (Hailey College of Banking & Finance, University of the Punjab, Lahore, Pakistan)

  • Maryam Aziz

    (Institute of Business and Management, University of Engineering and Technology, Lahore, Pakistan)

  • Abdul Basit

    (Lahore Institute of Science & Technology, Lahore, Pakistan)

  • Ifra Aziz Khan Niazi

    (Faculty of Management Studies, UCP Business School, University of Central Punjab, Lahore, Pakistan)

Abstract

The study aims at developing a list of supply chain issues in virtual shops and construct a hierarchal model of those supply chain issues with the purpose to prioritize them. It is also geared towards unfolding the inter-relationships of those issues. The research design entails comprehensive review of literature and qualitative analysis following the collection of primary data from panel of experts utilizing Interpretive Structural Modeling (ISM) coupled with Cross-Impact Matrix Multiplication Applied to Classification (MICMAC) as a methodology, this paper intends to probe into the supply chain issues creating bottlenecks in virtual shops’ operations. ISM is conducive to find the influential supply chain issues whereas MICMAC classifies and analyzes the supply chain issues based on their driving and dependence powers. The results of ISM point out that the supply chain issue ‘data centers affected by natural disasters’ is the most influential issue since it occupies bottom level of ISM model whereas supply chain issues ‘long lead time’ and ‘customer unavailability’ occupy top of ISM model being least critical. Results of MICMAC disclosed that issues ‘high delivery costs’, ‘long lead time’ and ‘customer unavailability’ are categorized as dependent whereas ‘network errors’ and ‘data centers affected by natural disaster’ are classified as independent. All the other issues are contained into linkage cluster while no supply chain issue is autonomous depicting that all the issues are relevant. Over the past few years, the extent of research on e-commerce logistics and supply chain has been increased. Most of the researches have been conducted to create awareness on the importance of logistics and supply chain in e-commerce industry. But the supply chain issues faced by virtual shops have not been comprehensively identified in any research till date. This study attempt to find those issues and prioritize them. The findings of the study provide understanding of most influential and most influenced supply chain issues so that the practitioners can set their priority actions. This study has contributed theoretically and possess practical implications for the stakeholders of virtual shops as well. In view of the fact that the study is conducted without financial assistance and data is collected from medium-sized panel in a field setting, the study is limited to an extent.

Suggested Citation

  • Abdul Aziz Khan Niazi & Tehmina Fiaz Qazi & Maryam Aziz & Abdul Basit & Ifra Aziz Khan Niazi, 2023. "Using the Binary Matrices for Modeling the Supply Chain Issues of Virtual Shops: An Evidence from Pakistan," Journal of Policy Research (JPR), Research Foundation for Humanity (RFH), vol. 9(2), pages 548-564.
    • Handle: RePEc:rfh:jprjor:v:9:y:2023:i:2:p:548-564
    as

    Download full text from publisher

    File URL: https://jprpk.com/index.php/jpr/article/view/245/536
    Download Restriction: no
    File URL: https://jprpk.com/index.php/jpr/article/view/245
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Yi Cai & Chunping Xia, 2018. "Interpretive Structural Analysis of Interrelationships among the Elements of Characteristic Agriculture Development in Chinese Rural Poverty Alleviation," Sustainability, MDPI, vol. 10(3), pages 1-19, March.
    2. Can Ding & Li Liu & Yi Zheng & Jianxiu Liao & Wenxing Huang, 2022. "Role of Distribution Centers Disruptions in New Retail Supply Chain: An Analysis Experiment," Sustainability, MDPI, vol. 14(11), pages 1-17, May.
    3. Jasneet Kaur & Ramneet Sidhu & Anjali Awasthi & Satyaveer Chauhan & Suresh Goyal, 2018. "A DEMATEL based approach for investigating barriers in green supply chain management in Canadian manufacturing firms," International Journal of Production Research, Taylor & Francis Journals, vol. 56(1-2), pages 312-332, January.
    4. He, Peng & He, Yong & Tang, Xiaoying & Ma, Shigui & Xu, Henry, 2022. "Channel encroachment and logistics integration strategies in an e-commerce platform service supply chain," International Journal of Production Economics, Elsevier, vol. 244(C).
    5. Avinash, A. & Sasikumar, P. & Murugesan, A., 2018. "Understanding the interaction among the barriers of biodiesel production from waste cooking oil in India- an interpretive structural modeling approach," Renewable Energy, Elsevier, vol. 127(C), pages 678-684.
    6. J. Jena & Sumati Sidharth & Lakshman S. Thakur & Devendra Kumar Pathak & V.C. Pandey, 2017. "Total Interpretive Structural Modeling (TISM): approach and application," Journal of Advances in Management Research, Emerald Group Publishing Limited, vol. 14(2), pages 162-181, May.
    7. Abdul Aziz Khan Niazi & Tehmina Fiaz Qazi & Abdul Basit, 2019. "An Interpretive Structural Model of Barriers in Implementing Corporate Governance (CG) in Pakistan," Global Regional Review, Humanity Only, vol. 4(1), pages 359-375, March.
    8. J. Jena & Sumati Sidharth & Lakshman S. Thakur & Devendra Kumar Pathak & V.C. Pandey, 2017. "Total Interpretive Structural Modeling (TISM): approach and application," Journal of Advances in Management Research, Emerald Group Publishing Limited, vol. 14(2), pages 162-181, May.
    9. Taha Benarbia & Kyandoghere Kyamakya, 2021. "A Literature Review of Drone-Based Package Delivery Logistics Systems and Their Implementation Feasibility," Sustainability, MDPI, vol. 14(1), pages 1-15, December.
    10. Sheng Liu & Long He & Zuo-Jun Max Shen, 2021. "On-Time Last-Mile Delivery: Order Assignment with Travel-Time Predictors," Management Science, INFORMS, vol. 67(7), pages 4095-4119, July.
    11. Pourya Pourhejazy, 2020. "Destruction Decisions for Managing Excess Inventory in E-Commerce Logistics," Sustainability, MDPI, vol. 12(20), pages 1-12, October.
    12. Deepak Mathivathanan & K. Mathiyazhagan & Nripendra P. Rana & Sangeeta Khorana & Yogesh K. Dwivedi, 2021. "Barriers to the adoption of blockchain technology in business supply chains: a total interpretive structural modelling (TISM) approach," International Journal of Production Research, Taylor & Francis Journals, vol. 59(11), pages 3338-3359, June.
    13. Beamon, Benita M., 1998. "Supply chain design and analysis:: Models and methods," International Journal of Production Economics, Elsevier, vol. 55(3), pages 281-294, August.
    14. Ying Wang & Fu Jia & Tobias Schoenherr & Yu Gong, 2018. "Supply Chain-Based Business Model Innovation: The Case of a Cross-Border E-Commerce Company," Sustainability, MDPI, vol. 10(12), pages 1-23, November.
    15. Chen, Xinwei & Ulmer, Marlin W. & Thomas, Barrett W., 2022. "Deep Q-learning for same-day delivery with vehicles and drones," European Journal of Operational Research, Elsevier, vol. 298(3), pages 939-952.
    16. Deepak Lamba & Devendra K. Yadav & Akhilesh Barve & Ganapati Panda, 2020. "Prioritizing barriers in reverse logistics of E-commerce supply chain using fuzzy-analytic hierarchy process," Electronic Commerce Research, Springer, vol. 20(2), pages 381-403, June.
    Full references (including those not matched with items on IDEAS)

    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. Kayikci, Yasanur & Kabadurmus, Ozgur, 2022. "Barriers to the adoption of the mobility-as-a-service concept: The case of Istanbul, a large emerging metropolis," Transport Policy, Elsevier, vol. 129(C), pages 219-236.
    2. Mkedder, Nadjim & Jain, Varsha & Salunke, Parth, 2024. "Determinants of virtual reality stores influencing purchase intention: An interpretive structural modeling approach," Journal of Retailing and Consumer Services, Elsevier, vol. 78(C).
    3. M. Suguna & Bhavin Shah & S. Karthik Raj & M. Suresh, 2022. "A study on the influential factors of the last mile delivery projects during Covid-19 era," Operations Management Research, Springer, vol. 15(1), pages 399-412, June.
    4. Nidhi Mundra & Rajesh P. Mishra, 2023. "Development of a model of critical failure factors for integrated LSS–AM practices in Indian manufacturing industries: a fuzzy TISM approach," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 14(4), pages 1479-1491, August.
    5. Tehmina Fiaz Qazi & Abdul Aziz Khan Niazi & Aqsa Mahmood & Abdul Basit & Ifra Aziz Khan Niazi, 2023. "An Analysis of the Determinants of Trust in Virtual Buying: An Interpretive Structural Modeling Approach," Journal of Policy Research (JPR), Research Foundation for Humanity (RFH), vol. 9(2), pages 87-102.
    6. Sorooshian, Shahryar & Tavana, Madjid & Ribeiro-Navarrete, Samuel, 2023. "From classical interpretive structural modeling to total interpretive structural modeling and beyond: A half-century of business research," Journal of Business Research, Elsevier, vol. 157(C).
    7. Mkedder, Nadjim & Das, Manish, 2024. "Metaverse integration challenges: An in-depth ISM and MICMAC analysis," Journal of Retailing and Consumer Services, Elsevier, vol. 77(C).
    8. M. Suguna & Bhavin Shah & B. U. Sivakami & M. Suresh, 2022. "Factors affecting repurposing operations in Micro Small and Medium Enterprises during Covid-19 emergency," Operations Management Research, Springer, vol. 15(3), pages 1181-1197, December.
    9. Abdul Aziz Khan Niazi & Tehmina Fiaz Qazi & Asna Sarwar & Ifra Aziz Khan Niazi & Abdul Basit, 2023. "A Structural Model of Hindrances to Switch from Traditional to Virtual Real Estate Marketing in Pakistan," Journal of Policy Research (JPR), Research Foundation for Humanity (RFH), vol. 9(2), pages 1-16.
    10. Abdul Aziz Khan Niazi & Tehmina Fiaz Qazi & Abdul Basit, 2019. "Expounding the Structure of Slyer Ways of Tunneling in Pakistan," Global Regional Review, Humanity Only, vol. 4(2), pages 329-343, June.
    11. Idris, Nurjihan & Arshad, Fatimah Mohamed & Radam, Alias & Ali, Noor Azman, 2009. "Construct validation of supply chain management in cooperative," MPRA Paper 19483, University Library of Munich, Germany.
    12. Ana Labella-Fernández & M. Mar Serrano-Arcos & Belén Payán-Sánchez, 2021. "Firm Growth as a Driver of Sustainable Product Innovation: Mediation and Moderation Analysis. Evidence from Manufacturing Firms," IJERPH, MDPI, vol. 18(5), pages 1-22, March.
    13. Ogulin, R. & Selen, W. & Ashayeri, J., 2010. "Determinants of Informal Coordination in Networked Supply Chains," Discussion Paper 2010-133, Tilburg University, Center for Economic Research.
    14. Rich, Karl M. & Ross, R. Brent & Baker, A. Derek & Negassa, Asfaw, 2011. "Quantifying value chain analysis in the context of livestock systems in developing countries," Food Policy, Elsevier, vol. 36(2), pages 214-222, April.
    15. Davies, Jennifer & Sharifi, Hossein & Lyons, Andrew & Forster, Rick & Elsayed, Omar Khaled Shokry Mohamed, 2024. "Non-fungible tokens: The missing ingredient for sustainable supply chains in the metaverse age?," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 182(C).
    16. Chen, Xinwei & Wang, Tong & Thomas, Barrett W. & Ulmer, Marlin W., 2023. "Same-day delivery with fair customer service," European Journal of Operational Research, Elsevier, vol. 308(2), pages 738-751.
    17. Sajjad Aslani Khiavi & Hamid Khaloozadeh & Fahimeh Soltanian, 2021. "Suboptimal sliding manifold For nonlinear supply chain with time delay," Journal of Combinatorial Optimization, Springer, vol. 42(1), pages 151-173, July.
    18. García Cáceres, Rafael Guillermo & Aráoz Durand, Julián Arturo & Gómez, Fernando Palacios, 2009. "Integral analysis method - IAM," European Journal of Operational Research, Elsevier, vol. 192(3), pages 891-903, February.
    19. Amol Adkonkar & Anand Sharma & Pooja Arora, 2024. "Validation of Instrument Measuring the Impact of SCM Practices and SCM Agility on Competitive Advantage and Organization Performance in Indian Pharmaceutical Firms," Paradigm, , vol. 28(1), pages 65-83, June.
    20. repec:tkp:ijsrsy:v:2:y:2012:i:2:p:73-91 is not listed on IDEAS
    21. Monideepa Tarafdar & Sufian Qrunfleh, 2017. "Agile supply chain strategy and supply chain performance: complementary roles of supply chain practices and information systems capability for agility," International Journal of Production Research, Taylor & Francis Journals, vol. 55(4), pages 925-938, February.

    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:rfh:jprjor:v:9:y:2023:i:2:p:548-564. 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: Dr. Muhammad Irfan Chani (email available below). General contact details of provider: https://edirc.repec.org/data/rffhlpk.html .

    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.