Co-opetition in Practice: Critical Success Factors in a Strategic Partnerships for AI-Driven Fraud Detection within the Insurance Industry

Abstract

This master thesis explores a case of project collaboration between direct competitors within the insurance industry for the creation of an AI-driven model for fraud detection and prevention, to identify the critical sucess factors of co-opetition. The study does this through utilizing theoretical frameworks such as Game Theory, Resource Based View, and Complex Collaborations for understanding these co-operative settings, while the Translucent Hand of Ecosystems is used as a lens for better understanding how these collaborations should be approached and managed for sucessful outcomes. It follows a qualitative method of semi-structured interviews of participants from the case study, with supplementation from secondary data analysis of relevant documents. In conclusion, the thesis provides five critical sucess factors for co-operative projects for practical implementation and further suggest future research based on these findings.