Journal Screenshot

International Journal of Academic Research in Business and Social Sciences

Open Access Journal

ISSN: 2222-6990

47 Years of Interpretive Structural Modelling (ISM) as a Methodology: A Worldwide View

Ahmad Fikri Ab Rahman, Zamri Mahamod, Muhammad Zulhilmi Zainuddin

http://dx.doi.org/10.6007/IJARBSS/v12-i5/13299

Open access

This study aims to review a worldwide view of the evolution, dissemination, keyword frequency and collaboration among authors and countries in ISM. Using the Scopus database, this paper used the bibliometric analysis to examine 556 scholarly works related to ISM from 1974 to December 2021. This study`s finding shows that India dominates the ISM study in terms of authors, institution and country. Even though the Business, Management and Accounting field dominate the research of ISM, other fields have begun to use ISM as a methodology in their research. The implication of this study is summed up in the presentation of a worldwide view of the ISM in 47 years, which allows other researchers to use this methodology in various fields as a starting point for additional analyses.

Abdullah, M. R. T. L., & Siraj, S. (2018). The evaluation of mLearning implementation model for English language learning via fuzzy delphi method. Pertanika Journal of Social Sciences & Humanities, 26(S), 33–54.
Agrawal, V., Agarwal, S., & Agrawal, A. M. (2020). Modelling of factors of e-learning: An ISM approach. International Journal of Continuing Engineering Education and Life-Long Learning, 30(3), 327–349. https://doi.org/10.1504/ijceell.2020.108563
Ahmad, M., Tang, X. W., Qiu, J. N., & Ahmad, F. (2019). Interpretive structural modeling and micmac analysis for identifying and benchmarking significant factors of seismic soil liquefaction. Applied Sciences (Switzerland), 9(2). https://doi.org/10.3390/APP9020233
Ahmi, A., Tapa, A., & Hamzah, A. H. (2020). Mapping of financial technology (FinTech) research: A bibliometric analysis. International Journal of Advanced Science and Technology, 29(8), 379–392.
Ahmi, A., Saidin, Z. S., Nasir, H. M. M., & Ismail, Z. (2020). Applicability of lotka’s law in extensible business reporting language (XBRL) studies. International Journal of Advanced Science and Technology, 29(6), 282–289.
Anantatmula, V. S., & Kanungo, S. (2010). Modeling enablers for successful KM implementation. Journal of Knowledge Management, 14(1), 100–113.
https://doi.org/10.1108/13673271011015598
Attri, R., Dev, N., & Sharma, V. (2013). Interpretive structural modelling (ISM) approach: An overview. Research Journal of Management Sciences, 2(2), 3–8.
Bashir, H., & Ojiako, U. (2020a). An integrated ism-micmac approach for modelling and analysing dependencies among engineering parameters in the early design phase. Journal of Engineering Design, 31(8–9), 461–483.
https://doi.org/10.1080/09544828.2020.1817347
Bashir, H., & Ojiako, U. (2020b). An integrated ism-micmac approach for modelling and analysing dependencies among engineering parameters in the early design phase. Journal of Engineering Design, 31(8–9), 461–483.
https://doi.org/10.1080/09544828.2020.1817347
Chauhan, A., Singh, A., & Jharkharia, S. (2018). An interpretive structural modeling (ISM) and decision-making trail and evaluation laboratory (DEMATEL) method approach for the analysis of barriers of waste recycling in India. Journal of the Air and Waste Management Association, 68(2), 100–110.
https://doi.org/10.1080/10962247.2016.1249441
Chen, W. K., Nalluri, V., Ma, S., Lin, M. M., & Lin, C. T. (2021). An exploration of the critical risk factors in sustainable telecom services: An analysis of indian telecom industries. Sustainability (Switzerland), 13(2), 1–22. https://doi.org/10.3390/su13020445
Chiaraluce, G., Bentivoglio, D., & Finco, A. (2021). Circular economy for a sustainable agri-food supply chain: A review for current trends and future pathways. Sustainability, 13(16), 9294. https://doi.org/10.3390/SU13169294
Cowhitt, T., Butler, T., & Wilson, E. (2019). Using social network analysis to complete literature reviews: A new systematic approach for independent researchers to detect and interpret prominent research programs within large collections of relevant literature. International Journal of Social Research Methodology, 23(5), 483–496. https://doi.org/10.1080/13645579.2019.1704356
Ghazali, N. H., Siraj, S., Ali, S. K. S., & Asra, K. (2020). Applications of Interpretive Structural Modeling for Walking Digital Gallery Physical Education and Health Model. International Journal of Academic Research in Business and Social Sciences, 10(7), 660–670.
Hsu, W.-L., Chen, Y.-S., Shiau, Y.-C., Liu, H.-L., & Chern, T.-Y. (2019). Curriculum design in construction engineering departments for colleges in Taiwan. Education Sciences, 9(65), 2–15.
Janes, F. R. (1988). Interpretive structural modelling: A methodology for structuring complex issues. Transactions of the Institute of Measurement & Control, 10(3), 145–154. https://doi.org/10.1177/014233128801000306
Janssen, M., Rana, N. P., Slade, E. L., & Dwivedi, Y. K. (2018). Trustworthiness of digital government services: Deriving a comprehensive theory through interpretive structural modelling. Public Management Review, 20(5), 647–671.
https://doi.org/10.1080/14719037.2017.1305689
Jena, J., Sidharth, S., Thakur, L. S., Kumar Pathak, D., & Pandey, V. C. (2017). Total interpretive structural modeling (TISM): Approach and application. Journal of Advances in Management Research, 14(2), 162–181. https://doi.org/10.1108/JAMR-10-2016-0087
Kaur, H., & Sharma, A. (2017). Dealing with interdependency among nfr using ism. Pertanika Journal of Science & Technology, 25(3), 871–889.
Khaba, S., & Bhar, C. (2017). Modeling the key barriers to lean construction using interpretive structural modeling. Journal of Modelling in Management, 12(4), 652–670. https://doi.org/10.1108/JM2-07-2015-0052
Lan, Q., Sughrue, M., Hopf, N. J., Mori, K., Park, J., Andrade-Barazarte, H., Balamurugan, M., Cenzato, M., Broggi, G., Kang, D., Kikuta, K., Zhao, Y., Zhang, H., Irie, S., Li, Y., Liew, B. S., & Kato, Y. (2021). International expert consensus statement about methods and indications for keyhole microneurosurgery from international society on minimally invasive neurosurgery. Neurosurgical Review, 44, 1–17.
Mannan, B., Khurana, S., & Haleem, A. (2016). Modeling of critical factors for integrating sustainability with innovation for Indian small- and medium-scale manufacturing enterprises: An ism and micmac approach. Cogent Business and Management, 3(1). https://doi.org/10.1080/23311975.2016.1140318
Mathiyazhagan, K., Govindan, K., NoorulHaq, A., & Geng, Y. (2013). An ism approach for the barrier analysis in implementing green supply chain management. Journal of Cleaner Production, 47, 283–297. https://doi.org/10.1016/j.jclepro.2012.10.042
Jamil, M. R. (2016). Pembangunan model kurikulum latihan SkiVes bagi program pengajian kejuruteraan pembelajaran berasaskan kerja. [Development of SkiVes Training Curriculum Model for Work-Based Learning Engineering Studies Program]. Doctoral Thesis, Institute of Graduate Studies, Universiti Malaya.
Nilashi, M., Dalvi, M., Ibrahim, O., Zamani, M., & Ramayah, T. (2019). An interpretive structural modelling of the features influencing researchers’ selection of reference management software. Journal of Librarianship and Information Science, 51(1), 34–46. https://doi.org/10.1177/0961000616668961
Piya, S., Shamsuzzoha, A., & Khadem, M. (2020). An approach for analysing supply chain complexity drivers through interpretive structural modelling. International Journal of Logistics Research and Applications, 23(4), 311–336.
https://doi.org/10.1080/13675567.2019.1691514
Rahman, M. N. A., Saad, M. I. M., Mamat, A. B., & Raji, M. N. A. (2021). Aplikasi pendekatan interpretive structural modeling (ISM) dalam pembangunan model pengurusan pentaksiran kanak-kanak prasekolah. Southeast Asia Early Childhood Journal, 10, 1–9. https://doi.org/10.37134/SAECJ.VOL10.SP.1.2021
Rana, N. P., Barnard, D. J., Baabdullah, A. M. A., Rees, D., & Roderick, S. (2019). Exploring barriers of m-commerce adoption in SMEs in the UK: Developing a framework using ism. International Journal of Information Management, 44, 141–153.
https://doi.org/10.1016/J.IJINFOMGT.2018.10.009
Srivastava, A. K., & Sushil. (2013). Modeling strategic performance factors for effective strategy execution. International Journal of Productivity and Performance Management, 62(6), 554–582. https://doi.org/10.1108/IJPPM-11-2012-0121
Sushil. (2012). Interpreting the interpretive structural model. Global Journal of Flexible Systems Management, 13(2), 87–106. https://doi.org/10.1007/S40171-012-0008-3
Sushil. (2018). How to check correctness of total interpretive structural models? Annals of Operations Research, 270(1–2), 473–487. https://doi.org/10.1007/S10479-016-2312-3
Wahid, R., Ahmi, A., & Alam, A. S. A. F. (2020). Growth and collaboration in massive open online courses: A bibliometric analysis. International Review of Research in Open and Distance Learning, 21(4), 292–322. https://doi.org/10.19173/IRRODL.V21I4.4693
Warfield, J. N. (1974). Developing interconnection matrices in structural modeling. IEEE Transactions on Systems, Man and Cybernetics, SMC-4(1), 81–87.
https://doi.org/10.1109/TSMC.1974.5408524
Yahaya, N., Rasul, M. S., & Yasin, R. M. (2018). Membangunkan model kompetensi nilai sosial bagi program perantisan sistem dual: Aplikasi interpretive structural modeling (ISM). Sains Humanika, 10(3–3). https://doi.org/10.11113/SH.V10N3-3.1515
Zakaria, R., Ahmi, A., Ahmad, A. H., Othman, Z., Azman, K. F., Aziz, C. B. A., Ismail, C. A. N., & Shafin, N. (2021). Visualising and mapping a decade of literature on honey research: a bibliometric analysis from 2011 to 2020. Journal of Apicultural Research, 60(3), 359–368. https://doi.org/10.1080/00218839.2021.1898789

In-Text Citation: (Ab Rahman ET AL., 2022)
To Cite this Article: Ab Rahman, A. F., Mahamod, Z., Zainuddin, M. Z. (2022). 47 Years of Interpretive Structural Modelling (ISM) as a Methodology: A Worldwide View. International Journal of Academic Research in Business and Social Sciences. 12(5), 1673 – 1689.