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Factors Influencing of SSCM Performance of the Indian Insurance Industry: An ISM Approach

Author

Listed:
  • Puspalata Mahapatra

    (KIIT University (Deemed), Odisha, India)

  • Sushanta Tripathy

    (KIIT University (Deemed), Odisha, India)

  • Surya Kanta Panda

    (Kunja Bihari College, Barang, India)

Abstract

In to-days economy, Service Supply Chain Management draws surprisingly more attention and insurance sector is one among them. Here the study is an attempt to overcome the challenges that impacts the effectiveness, efficiency and success of SSCM of Indian Insurance Industry. To show the hierarchical interrelationship among the selected significant factors of Insurance Industry an integrated comprehensive frame work has been developed, displayed and explained through an interpretive structural modeling (ISM) technique. Beneath the study various classification of influential factors have been carried out like Autonomous, linkage, Dependencies and Driving force. Finally this study developed a hierarchical structure of selected prominent factors responsible for the success of SSCM of Indian Insurance Industry by using ISM technique. The findings so drawn from the study can be used by the Indian Insurers and Foreign Insurers.

Suggested Citation

  • Puspalata Mahapatra & Sushanta Tripathy & Surya Kanta Panda, 2021. "Factors Influencing of SSCM Performance of the Indian Insurance Industry: An ISM Approach," International Journal of System Dynamics Applications (IJSDA), IGI Global, vol. 10(4), pages 1-18, October.
    • Handle: RePEc:igg:jsda00:v:10:y:2021:i:4:p:1-18
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    References listed on IDEAS

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    2. Kanchan Das & Scott A. Dellana, 2013. "A Quality and Partnering-Based Model for Improving Supply Chain Performance," International Journal of Strategic Decision Sciences (IJSDS), IGI Global, vol. 4(3), pages 1-31, July.
    3. Yusuf, Yahaya Y. & Gunasekaran, Angappa & Musa, Ahmed & Dauda, Mohammed & El-Berishy, Nagham M. & Cang, Shuang, 2014. "A relational study of supply chain agility, competitiveness and business performance in the oil and gas industry," International Journal of Production Economics, Elsevier, vol. 147(PB), pages 531-543.
    4. Satyendra Kumar Sharma & Anil Bhat & Vinod Kumar & Aayushi Agarwal, 2017. "Path Analysis Model for Supply Chain Risk Management," International Journal of Information Systems and Supply Chain Management (IJISSCM), IGI Global, vol. 10(2), pages 21-41, April.
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