Browsing by Author "Jebet, Teclah"

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    Adoption and Use of Artificial Intelligence Tools for Service Provision in Selected University Libraries in Kenya
    (Kenyatta University, 2025-06) Jebet, Teclah
    University libraries are adopting AI technologies more and more to improve productivity, accessibility and improve user experience in the digital age. However, despite its potential in libraries, artificial intelligence still seems like a grey idea, especially in the Kenyan context. The objective of the study was to assess the adoption and use of artificial intelligence tools on service delivery in selected university libraries in Kenya. Specifically, the study sought to examine librarians’ awareness levels on existence of artificial intelligence tools, to determine the uptake levels of artificial intelligence tools, to establish the contribution of AI in the core academic library functions and to identify challenges of adopting and using artificial intelligence tools in selected university libraries in Kenya. Diffusion of innovation theory served as the study's anchor theory. The research design used in the study was descriptive research design. A total of eighty-seven library employees were considered in the study as the study population. The research institutions chosen for the study were USIU, Strathmore, the University of Nairobi, and Jomo Kenyatta University of Agriculture and Technology (JKUAT). A total of seventy-one participants were chosen using a stratified random selection method. The study relied on primary data gathered via research questionnaires. Descriptive statistics were used to analyze the data, including frequencies, percentages, means, standard deviations, and scores. Tables were used to display the study's findings. According to the results, university librarians in Kenya are well-informed about the availability of AI resources. University librarians' familiarity with AI technologies and their possible uses was, nevertheless, minimal. The study also found that several university libraries have a high level of AI tools adoption. The study identified that AI tools were used in information retrieval and search optimization, cataloguing, user support, data analysis and decision-making as well as data preservation. The study also found that university libraries face obstacles like financial, economic, and technical hurdles while trying to use AI capabilities. The results highlight the need to overcome challenges occurring in the process of adopting AI technologies. This calls for raising awareness and highlighting the advantages of AI adoption in improving library services. To overcome obstacles and increase the acceptance and usage of AI technologies in university libraries, the study recommends developing targeted training programs, properly allocating resources, and cultivating a supportive corporate culture.
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    Adoption and Use of Artificial Intelligence Tools in Service Delivery in Selected Academic Libraries in Kenya
    (International Academic Journal of Information Sciences and Project Management, 2025-04) Jebet, Teclah
    Academic libraries are continuously adopting artificial intelligence technologies to improve productivity, accessibility, and the user experience. With the volume and complexity of library information and the user needs continuing to expand exponentially, libraries face a daunting challenge of how to efficiently manage, access, and disseminate information to meet the diverse user needs. Thus, the adoption and utilization of Artificial Intelligence (AI) tools powered by machine learning and big data, have emerged as a transformative trend in libraries which has revolutionized the way libraries collect, curate, and deliver information. However, despite its potential in libraries, artificial intelligence still seems like a grey idea, especially in developing countries such as Kenya. The objective of the study was to assess the adoption and use of artificial intelligence tools on service delivery in selected academic libraries in Kenya. Diffusion of innovation theory served as the study's anchor theory. The research design used was descriptive research design where a total of eighty-seven library staff drawn from USIU, Strathmore, the University of Nairobi and Jomo Kenyatta University of Agriculture and Technology (JKUAT) were considered. A total of seventy-one participants were chosen using stratified random selection technique. The study relied on primary data collected via research questionnaires which was analyzed using descriptive statistics including frequencies, percentages, means scores and standard deviations. Tables were used to display the study findings. Results showed that academic libraries in Kenya are well-informed about the availability of AI resources. Academic libraries' familiarity with AI technologies and their possible uses was nevertheless minimal. The study also found that several university libraries have a high level of AI tools adoption. In order to overcome obstacles and increase the acceptance and usage of AI technologies in academic libraries, the study recommends developing targeted training programs, properly allocating resources, and cultivating a supportive corporate culture.