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Interpretive Structural Modeling: Research Trends, Linkages to Sustainable Development Goals, and Impact of COVID-19

Author

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  • Aswathy Sreenivasan

    (Amrita School of Business, Amrita Vishwa Vidyapeetham, Coimbatore 641112, India)

  • Suresh Ma

    (Amrita School of Business, Amrita Vishwa Vidyapeetham, Coimbatore 641112, India)

  • Prema Nedungadi

    (Amrita School of Computing, Amrita Vishwa Vidyapeetham, Amritapuri, Kollam 690525, India)

  • V. Raja Sreedharan

    (Cardiff School of Management, Cardiff Metropolitan University, Cardiff CF5 2YB, UK)

  • R. Raghu Raman

    (Amrita School of Business, Amrita Vishwa Vidyapeetham, Amritapuri, Kollam 690525, India
    Amrita School of Computing, Amrita Vishwa Vidyapeetham, Amaravati 522503, India)

Abstract

Interpretive structural modeling (ISM) is widely used to understand the complex connections between different components. This study presents a bibliometric overview of ISM research, with a focus on its linkages to the Sustainable Development Goals (SDGs) and the impact of COVID-19. The study analyzed 1988 publications on ISM published between 2012 and 2021, of which 1202 were directly mapped to the SDGs and 59 were related to COVID-19. The study identified key authors, institutions, countries, and journals involved in the research and their linkages to the SDGs. The results showed that ISM research is strongly linked to SDG 12 (on responsible consumption and production) and SDG 9 (on industry, innovation, and infrastructure). We also identified influential SDGs on the basis of centrality measures such as betweenness and eigenvector. The top four countries contributing to ISM publications were India, China, the United Kingdom, and the United States. The most frequently cited journals were Benchmarking: An International Journal, Sustainability, the Journal of Modelling in Management, and the Journal of Cleaner Production. Four main clusters were identified in the ISM research, including (1) integration with AHP and fuzzy logic for promoting sustainability alignment, (2) ISM-based strategy development for various stakeholders, (3) ISM-based decision-making in various fields, and (4) ISM-based risk evaluation. For the first time, studies that used the ISM approach to understand the epidemiological characteristics of COVID-19 were identified, and their key findings were discussed. The study also identified several emerging topics for future ISM research, such as blockchain and IoT, environmental management systems, climate change adaptation, smart cities, and humanitarian logistics and their potential linkages to the SDGs.

Suggested Citation

  • Aswathy Sreenivasan & Suresh Ma & Prema Nedungadi & V. Raja Sreedharan & R. Raghu Raman, 2023. "Interpretive Structural Modeling: Research Trends, Linkages to Sustainable Development Goals, and Impact of COVID-19," Sustainability, MDPI, vol. 15(5), pages 1-27, February.
    • Handle: RePEc:gam:jsusta:v:15:y:2023:i:5:p:4195-:d:1080679
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    References listed on IDEAS

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    Cited by:

    1. Raghu Raman & Aswathy Sreenivasan & Suresh Ma & Anand Patwardhan & Prema Nedungadi, 2023. "Green Supply Chain Management Research Trends and Linkages to UN Sustainable Development Goals," Sustainability, MDPI, vol. 15(22), pages 1-27, November.
    2. Raghu Raman & Vinith Kumar Nair & Prema Nedungadi, 2023. "Discrepancies in Mapping Sustainable Development Goal 3 (Good Health and Well-Being) Research: A Comparative Analysis of Scopus and Dimensions Databases," Sustainability, MDPI, vol. 15(23), pages 1-23, November.
    3. Leandra Bezerra dos Santos & Fagner José Coutinho de Melo & Djalma Silva Guimaraes Junior & Eryka Fernanda Miranda Sobral & Denise Dumke de Medeiros, 2023. "Application of ISM to Identify the Contextual Relationships between the Sustainable Solutions Based on the Principles and Pillars of Industry 4.0: A Sustainability 4.0 Model for Law Offices," Sustainability, MDPI, vol. 15(19), pages 1-20, October.

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