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Total Interpretive Structural Modeling (TISM): approach and application

Author

Listed:
  • J. Jena
  • Sumati Sidharth
  • Lakshman S. Thakur
  • Devendra Kumar Pathak
  • V.C. Pandey

Abstract

Purpose - The purpose of this paper is to elucidate the methodology of total interpretive structural modeling (TISM) in order to provide interpretation for direct as well as significant transitive linkages in a directed graph. Design/methodology/approach - This study begins by unfolding the concepts and advantages of TISM. The step-by-step methodology of TISM is exemplified by employing it to analyze the mutual dependence among inhibitors of smartphone manufacturing ecosystem development (SMED). Cross-impact matrix multiplication applied to the classification analysis is also performed to graphically represent these inhibitors based on their driving power and dependence. Findings - This study highlights the significance of TISM over conventional interpretive structural modeling (ISM). The inhibitors of SMED are explored by reviewing existing literature and obtaining experts’ opinions. TISM is employed to classify these inhibitors in order to devise a five-level hierarchical structure based on their driving power and dependence. Practical implications - This study facilitates decision makers to take required actions to mitigate these inhibitors. Inhibitors (with strong driving power), which occupy the bottom level in the TISM hierarchy, require more attention from top management and effective monitoring of these inhibitors can assist in achieving the organizations’ goals. Originality/value - By unfolding the benefits of TISM over ISM, this study is an endeavor to develop insights toward utilization of TISM for modeling inhibitors of SMED. This paper elaborates step-by-step procedure to perform TISM and hence makes it simple for researchers to understand its concepts. To the best of the authors’ knowledge, this is the first study that analyzes the inhibitors of SMED by utilizing TISM approach.

Suggested Citation

  • 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.
  • Handle: RePEc:eme:jamrpp:jamr-10-2016-0087
    DOI: 10.1108/JAMR-10-2016-0087
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    Citations

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    Cited by:

    1. Neeraj Yadav & Ravi Shankar & Surya Prakash Singh, 2021. "Hierarchy of Critical Success Factors (CSF) for Lean Six Sigma (LSS) in Quality 4.0," International Journal of Global Business and Competitiveness, Springer, vol. 16(1), pages 1-14, June.
    2. Sheerapthi Ramiya & M. Suresh, 2021. "Factors influencing lean-sustainable maintenance using 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. 12(6), pages 1117-1131, December.
    3. Syed Mithun Ali & Asraf Arafin & Md. Abdul Moktadir & Towfique Rahman & Nuzhat Zahan, 2018. "Barriers to Reverse Logistics in the Computer Supply Chain Using Interpretive Structural Model," Global Journal of Flexible Systems Management, Springer;Global Institute of Flexible Systems Management, vol. 19(1), pages 53-68, March.
    4. Shankar, Ravi & Pathak, Devendra Kumar & Choudhary, Devendra, 2019. "Decarbonizing freight transportation: An integrated EFA-TISM approach to model enablers of dedicated freight corridors," Technological Forecasting and Social Change, Elsevier, vol. 143(C), pages 85-100.
    5. 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.
    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. Anshu Agrawal, 2020. "Modified Total Interpretive Structural Model of Corporate Financial Flexibility," Global Journal of Flexible Systems Management, Springer;Global Institute of Flexible Systems Management, vol. 21(4), pages 369-388, December.
    8. Rajan, Rishabh & Rana, Nripendra P. & Parameswar, Nakul & Dhir, Sanjay & Sushil, & Dwivedi, Yogesh K., 2021. "Developing a modified total interpretive structural model (M-TISM) for organizational strategic cybersecurity management," Technological Forecasting and Social Change, Elsevier, vol. 170(C).
    9. 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.
    10. 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.
    11. 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.
    12. 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.
    13. Yuangao Chen & Shuo Wang & Jianrong Yao & Yixiao Li & Shuiqing Yang, 2018. "Socially responsible supplier selection and sustainable supply chain development: A combined approach of total interpretive structural modeling and fuzzy analytic network process," Business Strategy and the Environment, Wiley Blackwell, vol. 27(8), pages 1708-1719, December.
    14. Santosh B. Rane & Yahya A. M. Narvel, 2021. "Leveraging the industry 4.0 technologies for improving agility of project procurement management processes," 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. 12(6), pages 1146-1172, December.
    15. Shankar, Ravi & Gupta, Rachita & Pathak, Devendra Kumar, 2018. "Modeling critical success factors of traceability for food logistics system," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 119(C), pages 205-222.
    16. Sudatta Kar & Arpan Kumar Kar & Manmohan Prasad Gupta, 2021. "Modeling Drivers and Barriers of Artificial Intelligence Adoption: Insights from a Strategic Management Perspective," Intelligent Systems in Accounting, Finance and Management, John Wiley & Sons, Ltd., vol. 28(4), pages 217-238, October.

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