Diffusion of innovations: still a relevant theory for studying library technology in the age of AI?

Purpose This paper aims to examine the relevance of Rogers’ diffusion of innovations theory, with a particular focus on the adopter categories concept, for library technology research in light of rapid changes sparked by the emergence of generative artificial intelligence and other emerging technologies at the dawn of the fourth industrial revolution. Design/methodology/approach The applicability of the diffusion of innovation model is critically evaluated, highlighting some discrepancies that exist between the traditional framework and observed behaviors in recent studies. In particular, it appears that many people are more eager adopters of innovations than at any point in the past, perhaps due to the ubiquity of information within the modern media ecosystem. Findings The traditional diffusion of innovation adopter categories may fail to capture the adoption patterns of specific populations, such as college students and faculty. Revised survey methodologies reveal the potential for more accurate identification of adopter categories by addressing biases in self-reporting and incorporating practical considerations of innovation usefulness. Originality/value This paper proposes refinements to the study of innovation diffusion, particularly in the context of library technology. By adapting the model to better align with modern patterns of technological adoption, it aims to provide a deeper understanding of innovation behaviors in today’s rapidly evolving technological environment.