Abstract
Interpretive structural modeling (ISM) is a process that transforms unclear and poorly articulated mental models of systems into visible, well-defined models useful for many purposes. The interpretation of links is comparatively weak in ISM; the interpretation of the directed link in terms of how it operates is lacking. This paper is an attempt to interpret the links in the interpretive structural models using the tool of Interpretive Matrix and leads to evolve the framework and methodology of total interpretive structural modeling (TISM). First, an overview of ISM is provided. This is taken-up further by highlighting the need of interpretation of interpretive structural models. In order to evolve the framework of TISM, the tool of Interpretive Matrix is briefly introduced, which is integrated into the methodology of TISM. The basic process of TISM is presented in a step-by-step manner with indicative directions for scaling-up this process. Some tests for validating total interpretive structural models are also proposed. Finally, the basic process of TISM is illustrated with the help of an example in the context of organizational change. This process can be used for conceptualization and theory building in organizational research.
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Agarwal, A., Shankar, R., & Tiwari, M. K. (2007). Modeling agility of supply chain. Industrial Marketing Management, 36(4), 443–457.
Bishwas, S. K., & Sushil. (2011). Knowledge management process in organizations and its linkages with flexibility: A caselets base inductive study, Eleventh Global Conference on Flexibile Systems Management, IIMK-GLOGIFT 11, IIM Kozikode, December 9–12, 2011.
Corbin, J., & Strauss, A. (1990). Grounded theory research: Procedures, canons and evaluative criteria. Qualitative Sociology, 13(1), 3–21.
Haleem, A., Sushil, M. A., Quadri, & Kumar, S. (2012). Analysis of critical success factors of worldclass manufacturing practices: An application of interpretative structural modelling and interpretative ranking process. Production Planning and Control, 1–13.
Hansen, J. V., McKell, L. J., & Heitger, L. E. (1979). ISMS: Computer-aided analysis for design of decision support systems. Management Science, 25(11), 1069–1081.
Harary, F., Norman, R. Z., & Cartwright, D. (1965). Structural models-an introduction to the theory of directed graphs. New York: Wiley.
Hawthrone, R. W., & Sage, A. P. (1975). On application of interpretive structural modelling to higher education program planning. Socio-Economic Planning, 9(1), 31–43.
Hill, J. D., & Warfield, J. N. (1972). Unified program planning. IEEE Transactions on Systems, Man, and Cybernetics, SMC-2(5), 610–621.
Jedlicka, A. & Meyer, R. (1980) Interpretive structural modeling cross cultural uses. IEEE Transactions: System, Man and Cybernetics, SMC-10(1), 49–51.
Lee, D. M. (2008). Structured decision making with ISM—implementing the core of interactive management, www.sorach.com.
Lin, M. C., Wang, C. C., & Chen, T. C. (2006). A strategy for managing customer-oriented product design. Concurrent Engineering, 14(3), 231–244.
Malone, D. W. (1975). An introduction to the applications of interpretive structural modeling. Proceedings of the IEEE, 63(3), 397–404.
Mandal, A., & Deshmukh, S. G. (1994). Vendor selection using interpretive structural modeling (ISM). International Journal of Operations & Production Management, 14(6), 52–59.
Mohammed, I. R., Shankar, R., & Banwet, D. K. (2008). Creating Flex-lean-agile value chain by outsourcing: An ISM based interventional roadmap. Business Process Management Journal, 14(3), 338–389.
Nasim, (2011). Total interpretive structural modeling of continuity and change forces in e-government. Journal of Enterprise Transformation, 1(2), 147–168.
Nasim, S., & Sushil (2010). Managing continuity and change—a new approach for strategizing in e-government. Transforming Government: People, Processes and Policy, 4(4), 338–364.
Nasim, S., & Sushil (2011). Revisiting organizational change: Exploring the paradox of ‘managing continuity and change’. Journal of Change Management, 11(2), 185–206.
Saaty, T. L. (1977). The analytic hierarchy process. New York: McGraw Hill.
Saxena, J. P., Sushil & Vrat, P. (2006). Policy and strategy formulation: An application of flexible systems methodology. Global Institute of Flexible Systems Management, New Delhi: GIFT Publishing.
Sharma, H. D., & Sushil (1995). The objectives of waste management in india: A futures inquiry. Technological Forecasting and Social Change, 48, 285–309.
Srivastava, A., & Sushil (2011). Adapt: The pillar of strategy execution process linking back to strategy, Eleventh Global Conference on Flexibile Systems Management, IIMK-GLOGIFT 11, IIM Kozhikode, December 9–12, 2011.
Sushil (2005a). Interpretive matrix: A tool to aid interpretation of management and social research. Global Journal of Flexible Systems Management, 6(2), 27–30.
Sushil (2005b). A flexible strategy framework for managing continuity and change. International Journal of Global Business and Competitiveness, 1(1), 22–32.
Sushil (2009a). SAP-LAP linkages—a generic interpretive framework for analyzing managerial contexts. Global Journal of Flexible Systems Management, 10(2), 11–20.
Sushil (2009b). Interpretive ranking process. Global Journal of Flexible Systems Management, 10(4), 1–10.
Sushil (2012). Flowing stream strategy: Managing confluence of continuity and change. Journal of Enterprise Transformation, 2(1), 26–49.
Waller, R. J. (1980). Contextual relations and mathematical relations in interpretive structural modeling. IEEE Transactions: System, Man and Cybernetics, 10(3), 143–145.
Warfield, J. N. (1973a). Intent structures. IEEE Transactions: System, Man and Cybernetics, SMC-3(2), 133–140.
Warfield, J. N. (1973b). Binary matrices in system modeling. IEEE Transactions: System, Man and Cybernetics, SMC-3, 441–449.
Warfield, J. N. (1973c). Assault on complexities. Battelle Monograph, 3 April. Battelle Memorial Inst., Columbus, OH.
Warfield, J. N. (1973d). On arranging elements of a hierarchy in graphic form. IEEE Transactions: System, Man and Cybernetics, SMC-3, 121–132.
Warfield, J. N. (1974a). Structuring complex systems. Battelle monograph. Columbus, OH: Battelle Memorial Inst. 4.
Warfield J.N. (1974b) Developing Sub-System Matrices in Structural Modeling, IEEE Transactions: System, Man and Cybernetics, SMC-4, 74-80.
Warfield, J. N. (1974c). Towards Interpretation of complex structural models. IEEE Transactions: System, Man and Cybernetics, SMC-4(5), 405–417.
Warfield, J. N. (1976). Societal systems: Planning. Policy and complexity. New York: Wiley.
Warfield, J. N. (1994). A science of generic design: Managing complexity through systems design. Iowa: Iowa State University Press.
Warfield, J. N. (1999). Twenty laws of complexity: Science applicable in organizations. Systems Research and Behavioral Science, 16(1), 3–40.
Warfield, J. N. (2003). The mathematics of structure. Palam Harbor, FL: Ajar Publishing Company.
Warfield, J. N., & Cárdenas, A. R. (1994). A handbook of interactive management. Ames, IA: The Iowa State University Press.
Whetten, D. A. (1989). What constitutes a theoretical contribution? Academy of Management Review, 14(4), 490–495.
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Appendix: Illustration of TISM Process for Organizational Change Forces
Appendix: Illustration of TISM Process for Organizational Change Forces
Please indicate your response to the relationship between the pair of ‘Change Forces’ affecting businesses in general, as given below, by writing ‘Y’ for ‘Yes’ and ‘N’ for ‘No’ and also cite the reason for the same, in brief (See Exhibits 1, 2, 3a–e, 4, 5a, b and 6).
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Sushil Interpreting the Interpretive Structural Model. Glob J Flex Syst Manag 13, 87–106 (2012). https://doi.org/10.1007/s40171-012-0008-3
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DOI: https://doi.org/10.1007/s40171-012-0008-3