Improving the Adoption of Artificial Intelligence in Library Financial Services: A Comprehensive UTAUT2 Framework with AI-Specific Variables

Abstract

The use of artificial intelligence (AI) in financial services within library management has the potential to bring about significant transformation. However, the effective implementation of these technologies depends on comprehending the distinct elements that influence consumer approval, particularly in the context of libraries where user trust and resource optimization are critical. This study presents an expanded framework called the Unified Theory of Acceptance and Use of Technology 2 (UTAUT2) that is specifically designed for the use of artificial intelligence (AI) in the financial services industry, with a focus on library management. The paradigm incorporates essential AI-related factors, including trust, explainability, data privacy, algorithmic responsibility, and empowerment theory, which are crucial for ensuring effective financial decision-making in libraries. The suggested model provides a theoretical basis for guiding the adoption strategies of financial services in library management using AI and establishes the necessary framework for future empirical evaluation of its prediction powers, thereby helping libraries optimize their financial operations and enhance user services.