Observational analysis developed a hierarchical model for coopetition and innovation performance, indicating critical success factors enhance outcomes.
This study aims to understand the influence of critical success factors (CSFs) on coopetition and innovation performance. Using Modified Total Interpretive Structural Modelling technique (M-TISM) and MICMAC (Matriced’ Impacts Croisés Multiplication Appliquée á un Classement) analysis, this study establishes the relationships between various CSFs. M-TISM is used to develop a hierarchical model, and MICMAC analysis is used to study the driver-dependence relationship. Based on the extant literature, seven CSFs are identified as key drivers of coopetition and innovation performance. A five-level hierarchical model illustrates the interlinkages between CSFs and their impact on coopetition. Furthermore, MICMAC analysis categorises CSFs into independent, linkage, and dependent factors. The study offers a structured approach to understanding how firms can optimise coopetition for better innovation outcomes. This study provides insights for practitioners to refine coopetition strategies and enhance innovation-driven performance in highly competitive industries. The study contributes to understanding innovation, performance measurement, coopetition, and modelling literature. This study provides a multi-level hierarchical framework highlighting how firms can strategically leverage CSFs for coopetition and attaining better innovation performance.
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Sarkar et al. (2025) studied this question.
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