The Path to Comprehensiveness: An LLM-Enhanced Systematic Literature Review on the Innovation Mindset

Abstract

The study of the innovation mindset is not a new endeavor within and outside business and management. However, most of the studies and meta-analyses that have been undertaken on the topic rely on manual coding or simple keyword filters, thereby possibly missing some key artifacts due to the sheer scope of the daunting task. In this work, we try to overcome the comprehensiveness problem by introducing a multi‑LLM ensemble pipeline that integrates DeepSeekR1, Llama3, and QWEN models to retrieve, classify, and thematically cluster scholarly articles. Applying the pipeline to 106 peer‑reviewed publications, we identify four recurrent themes: (A) Creativity‑Risk Synergy, (B) Innovation Capacity, (C) Entrepreneurial Orientation, and (D) Adaptability and Problem Solving. These combinations improve over author‑supplied keywords, demonstrating the methodological value of using LLM models. The identified themes clarify the key needs for further research into the innovation mindset and offer an agenda for future explorations in information systems sciences.