Factors influencing librarian adoption of ChatGPT technology for entrepreneurial support: A study protocol

• DOI: 10.1016/j.ject.2024.04.006
• Publication Date: 2024-04-22T06:11:34Z
• Authors: Varun Gupta
• Keywords: Social Sciences; QA75.5-76.95; Chat Generative Pre-trained Transformer (ChatGPT); H; Generative Artificial Intelligence; Economics as a science; 0302 clinical medicine; Entrepreneurial support; Librarians; Electronic computers. Computer science; 0509 other social sciences; HB71-74; Technology adoption

Artificial intelligence (AI) has become a revolutionary force in the constantly evolving technology landscape, transforming many industries, including libraries. Libraries have been focusing on experimenting with emerging AI technologies to innovate their services, especially for supporting entrepreneurs. Generative AI, instance, ChatGPT, holds immense potential libraries by enabling them provide advanced support entrepreneurs, meeting business needs of or strengthening entrepreneurial education programs. By concentrating adoption generative librarians will be encouraged experiment and use expertise current test out future ones adopt more useful ones. The objective research is investigate factors influencing ChatGPT provision aims insights that can help formulate strategies successful library settings enhance To achieve objective, study adopts correlational design empirically hypothesis- relationship between latent variables affecting three stages adoption. Surveys administered actively engaged assisting aiming capture data various decisions, hence aiding empirical validation formulated hypothesis. Before commencing collection, participants provided detailed informed consent sheet outlining research's purpose, procedures involved, voluntary nature participation, risks involved. Only after explicitly are they granted access survey questionnaire. This ensures transparency ethical compliance throughout process. safeguard participant confidentiality maintain integrity, all securely stored password-protected cloud storage platforms, such as University OneDrive. Strict handling protocols followed, limited authorized team members. Moreover, participants' personal information not collected, ensuring anonymity privacy. Stringent quality assurance measures implemented ensure reliability validity findings. administration, pilot conducted refine instrument identify any ambiguities. testing adhere guidelines principles, mandatory consent, well storage, procedures, safety considerations outlined main study. Continuous monitoring peer review processes employed mitigate individual biases errors, thereby enhancing overall robustness outcomes. Data cleaning outlier detection imputation techniques, further reinforce integrity completeness dataset. Additionally, member checking accuracy alignment interpretations perspectives, bolstering credibility Through Partial Least Squares Structural Equation Modeling (PLS-SEM), collected undergo rigorous analysis using SmartPLS 4 software version, validating complex relationships different constructs theoretical model. both practical contributions. Theoretically, it seeks among enriching our understanding dynamics services. Practically, findings offer actionable librarians, stakeholders innovation. uncovering drivers barriers, develop dynamic capabilities technologies, foster co-creation patrons, strengthen entrepreneur results also greater implications countries where yet positioned innovation actor entrepreneurship.