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This study aims to identify and prioritize various growth-accelerating factors in the Indian automotive industry. It further develops a hierarchical model to examine the mutual interactions between the factors, their dependence and their driving power.

This study first identifies the growth-accelerating factors and then uses the modified total interpretive structural modeling (m-TISM) framework, which is an extended version of TISM. It further uses MICMAC analysis to analyze the mutual interrelation between the identified factors.

This study highlights the interrelation amongst the factors using m-TISM model. A hierarchical model shows the level of autonomous, dependence, linkage and independent factors considering the Indian automotive industry. This study also provides the understanding related to the interdependence of growth-accelerating factors.

The government and practitioners could evaluate the growth-accelerating factors which have higher driving power for implementing efficient policies and strategy formulation. By implementing m-TISM model in the Indian automotive industry, auto manufacturers can become more productive and profitable. Future studies could use other methods such as expert opinion to derive the factors, and further model could be verified using structural equation modeling technique.

This study uses a novel m-TISM framework for the analysis of growth-accelerating factors in the context of the Indian automotive industry. It further provides a detailed theoretical and conceptual understanding relating to the philosophy and establishes an interrelation amongst these under-researched growth-accelerating factors.

This research aims to conduct a systematic review of the literature on coopetition to assess its impact on firm performance in various contexts.

A bibliometric analysis of 144 papers from 1999 to 2021 and analysis of literature under the premise of theory, context, characteristics and methodology using the Theory–Context–Characteristics–Methodology (TCCM) approach was conducted using Institute for Scientific Information Web of Sciences data on coopetition literature.

The study enlists the influential journals, evolutions and citations of the articles and particularly identifies six research streams under the domain of coopetition and additionally charts out the future research agenda.

The results highlighted in this study may be helpful for managers and practitioners to understand the dynamics of a strategic alliance with their competitor organizations. Moreover, managers may utilize the coopetition strategy to enhance customer value and leverage this relationship for more excellent firm performance. Furthermore, the results obtained through cluster analysis can be considered as a start point to develop frameworks for a business relationship with competitors. This study utilizes content analysis and bibliometric analysis to assess the diverse view and understand the development of the field that may help the researchers increase the rigor and transparency of reviewing the literature and answer various questions that may arise to assess competitors’ interorganizational relationships.

No systematic literature review has analyzed the literature on coopetition using the TCCM approach and identified various research streams under the perspective of different contextual settings.