
The students will get introduced to the basic idea of ISM and where it can be applied. The section explains the application areas and provides the course outline.
The students will understand the underlying concept behind using ISM, its definition and how it helps in transforming complex mental models to simple structured ones.
The lecture will help students in establishing contextual relationships between variables reaching to a common research problem.
The students will learn about the next steps on how to form Structural Self-interaction matrix and Initial Reachability Matrix.
The students will be able to understand the concept of transitivity and examine the transitive relationships between variables.
The students will learn about the level partitioning and iterations.
The last step of ISM, students will learn how to develop Digraph and conduct MICMAC Analysis.
The students will be able to conduct last minute checks before they are ready with their ISM model.
Interpretive Structural Modelling (ISM) is a well- established methodology for identifying relationships among different variables that define a common research problem. It transforms the complex mental models into well defined and well structured models that are clear and hence easy to interpret. The method also imposes order and direction to the variables and can thus provide a base for further research based on relationships like Structural Equation Modelling and Analytical Network Process. By the end of this course, students will be in a position to prepare their own research paper using ISM.