SmartISM: Implementation and Assessment of Interpretive Structural Modeling

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