The Path to Comprehensiveness: An LLM-Enhanced Systematic Literature Review on the Innovation Mindset
Sadan Kulturel-Konak, Abdullah Konak, Katia Passerini, César Bandera, Michael R. Bartolacci · ScholarSpace (University of Hawaii at Manoa) · 2025
AI-generated evidence extraction, verified across multiple analytical personas. Not a substitute for the peer-reviewed original.
Methodology & findings
Study design
Multi-LLM ensemble pipeline systematic review.
Primary method
Design science (systematic approach using LLM ensemble methods for literature review automation)
Main result
The study identifies four recurrent themes in innovation mindset research: "(A) Creativity‑Risk Synergy, (B) Innovation Capacity, (C) Entrepreneurial Orientation, and (D) Adaptability and Problem Solving." The authors demonstrate that "These combinations improve over author‑supplied keywords, demonstrating the methodological value of using LLM models."
Research paradigm
Positivist/computational empiricism
Author conclusions
The authors conclude that "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."
Risk of bias
LLM model bias and hallucination risks (multiple models used but potential for systematic biases); Selection bias in the 106 publications chosen for analysis (selection criteria not specified in abstract); Potential algorithmic bias in thematic clustering based on LLM training data
Open questions raised
- The study identifies the need for further research into the innovation mindset and proposes an agenda for future explorations in information systems sciences based on the four identified thematic clusters.
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