Interpretive Structural Modeling in Organizational Innovation
Summary
Interpretive Structural Modeling (ISM) has emerged as a systematic methodology for unravelling the complex web of relationships among factors that drive organisational innovation. By engaging domain experts to interpret pairwise relationships among identified variables, ISM produces a structured model that organises those variables into a multi-level hierarchy. This approach enables managers and researchers to discern root drivers, mediating influences and dependent outcomes, thereby guiding strategic prioritisation and intervention. The extension known as Total Interpretive Structural Modeling (TISM) enriches this framework by incorporating explicit rationale for each relationship, yielding deeper insights into the underlying logic of innovation processes. When combined with cross-impact techniques such as MICMAC analysis, ISM and TISM offer a powerful toolkit for classifying factors according to their driving and dependence power, highlighting leverage points for policy and practice. Across diverse sectors—from manufacturing to healthcare—these methodologies have informed the design of innovation ecosystems, supported resource allocation decisions and fostered agile, sustainable organisational change.
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Interpretive Structural Modeling in Organizational Innovation publication trend
The graph below shows the total number of articles in interpretive structural modeling in organizational innovation across all publications each year (not limited to Nature Index journals).
Technical terms
Interpretive Structural Modeling (ISM): A methodology that uses expert judgments to identify and hierarchically organise relationships among elements within a system.
Total Interpretive Structural Modeling (TISM): An extension of ISM that provides explicit interpretive logic for each identified relationship, enriching the explanatory depth of the model.
MICMAC analysis: A cross‐impact technique that classifies variables by their driving and dependence power to reveal leverage points within complex systems.
References
- Applying total interpretive structural modeling to study factors affecting construction labour productivity. Construction Economics and Building (2014).
- Green Operation Strategies in Healthcare for Enhanced Quality of Life. Healthcare (2022).
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