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SmartISM: Implementation and Assessment of Interpretive Structural Modeling

Author

Listed:
  • Naim Ahmad

    (Department of Information Systems, King Khalid University, Abha 62529, Saudi Arabia)

  • Ayman Qahmash

    (Department of Information Systems, King Khalid University, Abha 62529, Saudi Arabia)

Abstract

Interpretive Structural Modeling (ISM) is a technique to establish the interrelationships between elements of interest in a specific domain through experts’ knowledge of the context of the elements. This technique has been applied in numerous domains and the list continues to grow due to its simplistic concept, while sustainability has taken the lead. The partially automated or manual application of this technique has been prone to errors as witnessed in the literature due to a series of mathematical steps of higher-order computing complexity. Therefore, this work proposes to develop an end-to-end graphical software, SmartISM, to implement ISM technique and MICMAC (Matrice d’Impacts Croisés Multiplication Appliquée á un Classement (cross-impact matrix multiplication applied to classification)), generally applied along with ISM to classify variables. Further, a scoping review has been conducted to study the applications of ISM in the previous studies using Denyer and Tranfield’s (2009) framework and newly developed SmartISM. For the development of SmartISM, Microsoft Excel software has been used, and relevant algorithms and VBA (Visual Basic for Applications) functions have been illustrated. For the transitivity calculation the Warshall algorithm has been used and a new algorithm reduced conical matrix has been introduced to remove edges while retaining the reachability of variables and structure of digraph in the final model. The scoping review results demonstrate 21 different domains such as sustainability, supply chain and logistics, information technology, energy, human resource, marketing, and operations among others; numerous types of constructs such as enablers, barriers, critical success factors, strategies, practices, among others, and their numbers varied from 5 to 32; number of decision makers ranged between 2 to 120 with a median value of 11, and belong to academia, industry, and/or government; and usage of multiple techniques of discourse and survey for decision making and data collection. Furthermore, the SmartISM reproduced results show that only 29 out of 77 studies selected have a correct application of ISM after discounting the generalized transitivity incorporation. The outcome of this work will help in more informed applications of this technique in newer domains and utilization of SmartISM to efficiently model the interrelationships among variables.

Suggested Citation

  • Naim Ahmad & Ayman Qahmash, 2021. "SmartISM: Implementation and Assessment of Interpretive Structural Modeling," Sustainability, MDPI, vol. 13(16), pages 1-27, August.
    • Handle: RePEc:gam:jsusta:v:13:y:2021:i:16:p:8801-:d:609643
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    Cited by:

    1. Jie Dong, 2023. "Study on the Identification of Financial Risk Path Under the Digital Transformation of Enterprise Based on DEMATEL-ISM-MICMAC," Papers 2305.04216, arXiv.org.
    2. Nitad Jaisue & Nipon Ketjoy & Malinee Kaewpanha & Prapita Thanarak, 2023. "The Barriers Analysis for Waste-to-Energy Project Development in Thailand: Using an Interpretive Structural Modeling Approach," Energies, MDPI, vol. 16(4), pages 1-19, February.
    3. Tushar, Saifur Rahman & Alam, Md. Fahim Bin & Bari, A.B.M. Mainul & Karmaker, Chitra Lekha, 2023. "Assessing the challenges to medical waste management during the COVID-19 pandemic: Implications for the environmental sustainability in the emerging economies," Socio-Economic Planning Sciences, Elsevier, vol. 87(PA).
    4. Agarwal, Richa & Bhadauria, Artee & Kaushik, Hans & Swami, Sanjeev & Rajwanshi, Rohit, 2023. "ISM-MICMAC-based study on key enablers in the adoption of solar renewable energy products in India," Technology in Society, Elsevier, vol. 75(C).
    5. Kaushik, Hans & Rajwanshi, Rohit, 2023. "Examining the Linkages of Technology Adoption Enablers in Context of Dairy Farming Using ISM-MICMAC Approach," Research on World Agricultural Economy, Nan Yang Academy of Sciences Pte Ltd (NASS), vol. 4(4), November.
    6. Yung-Fu Huang & Abbott Po-Shun Chen & Manh-Hoang Do & Jen-Chieh Chung, 2022. "Assessing the Barriers of Green Innovation Implementation: Evidence from the Vietnamese Manufacturing Sector," Sustainability, MDPI, vol. 14(8), pages 1-14, April.
    7. Nazir, Lubna & Sharifi, Ayyoob, 2024. "An analysis of barriers to the implementation of smart grid technology in Pakistan," Renewable Energy, Elsevier, vol. 220(C).
    8. Ifra Aziz Khan Niazi & Tehmina Fiaz Qazi & Shabana Naveed & Mashari Mahmood, 2023. "Analysing the Challenges of Insurance Companies in Pakistan While Co-Creating the Service Value," Journal of Policy Research (JPR), Research Foundation for Humanity (RFH), vol. 9(1), pages 113-130, March.
    9. Johan Krisnanto Runtuk & Poh Kiat Ng & Shih Yin Ooi & Remigius Purwanto & Arief Suardi Nur Chairat & Yu Jin Ng, 2023. "Sustainable Growth for Small and Medium-Sized Enterprises: Interpretive Structural Modeling Approach," Sustainability, MDPI, vol. 15(5), pages 1-12, March.
    10. Steffen Foldager Jensen & Jesper Hemdrup Kristensen & Jonas Nygaard Uhrenholt & Maria Camila Rincón & Sofie Adamsen & Brian Vejrum Waehrens, 2022. "Unlocking Barriers to Circular Economy: An ISM-Based Approach to Contextualizing Dependencies," Sustainability, MDPI, vol. 14(15), pages 1-17, August.
    11. Margarida Pimentel & Amílcar Arantes & Carlos Oliveira Cruz, 2022. "Barriers to the Adoption of Reverse Logistics in the Construction Industry: A Combined ISM and MICMAC Approach," Sustainability, MDPI, vol. 14(23), pages 1-21, November.

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