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Conceptualizing hybrid model for influencing intention to adopt cloud computing in North-Eastern Nigerian academic libraries
Institution:1. School of Computer Sciences, Universiti Sains Malaysia, 11800 Penang, Malaysia;2. Department of Library and Information Science, University of Maiduguri, Nigeria;1. Department of Information Science, Bar-Ilan University, Israel;2. Department of Education & Psychology, The Open University of Israel, Israel;1. Department of Computer Science & Software Engineering, 205 Benton Hall, Miami University, Oxford 45056 OH, USA;2. Miami University Libraries, King Library, 151 S. Campus Ave, Oxford, OH 45056, USA;1. New Mexico State University Library, MSC 3475, P.O. Box 30006, Las Cruces, NM 88003, United States;2. New Mexico State University, College of Business, Department of Economics, Applied Statistics, and International Business, MSC 3CQ, P.O. Box 30001, Las Cruces, NM 88003, United States;1. Rutgers University, 4 Huntington Street, New Brunswick, NJ 08901, United States of America;2. The College of New Jersey, 2000 Pennington Rd, Ewing Township, NJ 08618, United States of America;1. University Library, Bayero University, Kano, Nigeria;2. Kashim Ibrahim Library, Ahmadu Bello University, Zaria, Nigeria;3. Donald Ekong Library, University of Port Harcourt, Port Harcourt, Nigeria
Abstract:The understanding of cloud computing adoption in academic libraries in North-Eastern Nigeria is still unclear. Therefore, this research combines two technology adoption theories of technology-organizational-environmental and diffusion of innovation (TOE-DOI) theories to identify the influencing factors and develop a model for the adoption of cloud computing in academic libraries. A quantitative technique using survey design was adopted and previously used scales were adapted and formulated structured questionnaires. The study population comprises decision-makers from North-Eastern Nigerian academic libraries and purposive sampling was used in selecting 212 sample respondents where 192 were found usable. Statistical Package for Social Science (SPSS) and Partial Least Square–Structured Equation Modeling (PLS-SEM) was used for analyzing the data. Findings revealed that all the independent variables (relative advantage, compatibility, technophobia, government regulations and competitive pressure) were significant factors in the adoption of cloud computing in academic libraries. In contrast, the moderating variable (perceived trust) was found to be insignificant in all the relationships. Based on this finding, it is recommended that the significant factors should be given serious attention when deciding to adopt cloud computing by academic libraries. The moderating variable should be tested in future studies to ascertain its effect in that context.
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