This chapter reviews relevant scholarship on library-based entrepreneurship support, AI technology adoption models, co-creation, experimentation, and Monitoring & Evaluation (M&E). It maps the current state of knowledge and identifies areas where further conceptual development can enhance understanding of AI integration in library business support services. The chapter establishes a strong theoretical framework that supports the empirical studies presented in the book and shows how concepts from multiple disciplines converge to shape library innovation.

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Theoretical Background

  • Varun Gupta

摘要

This chapter reviews relevant scholarship on library-based entrepreneurship support, AI technology adoption models, co-creation, experimentation, and Monitoring & Evaluation (M&E). It maps the current state of knowledge and identifies areas where further conceptual development can enhance understanding of AI integration in library business support services. The chapter establishes a strong theoretical framework that supports the empirical studies presented in the book and shows how concepts from multiple disciplines converge to shape library innovation.