Investigating Cloud Computing Adoption: A Case Study of TVET Institutions in Nigeria
 |
International Journal of Recent Engineering Science (IJRES) |  |
| © 2024 by IJRES Journal | ||
| Volume-11 Issue-5 |
||
| Year of Publication : 2024 | ||
| Authors : Oladipupo Bello, OdunAyo Imoru |
||
| DOI : 10.14445/23497157/IJRES-V11I5P117 |
How to Cite?
Oladipupo Bello, OdunAyo Imoru, "Investigating Cloud Computing Adoption: A Case Study of TVET Institutions in Nigeria," International Journal of Recent Engineering Science, vol. 11, no. 5, pp. 174-184, 2024. Crossref, https://doi.org/10.14445/23497157/IJRES-V11I5P117
Abstract
This paper examined the factors that influence the adoption of cloud computing technology among Technical and Vocational Education and Training (TVET) Institutions in Nigeria. Based on Technology Acceptance Model (TAM) 3, the study was carried out through survey questionnaires administered to 250 respondents from some TVET Institutions in Nigeria. Data collected was analyzed using multiple regression analysis, with results showing that the adoption of cloud computing among TVET Institutions is driven by perceived ease of use, perceived usefulness and subjective norm. Perceived ease of use is found to be the most important factor that determines the adoption of cloud computing among TVET Institutions in Nigeria. The finding suggests that the existing and prospective stakeholders of the TVET Institutions should create more awareness about the usefulness, flexibility, users’ friendliness and social benefits of cloud computing in order to enhance its adoption. It is also recommended that adequate support for the adoption of cloud computing would foster the delivery of quality academic, administrative and extra-curricular services by TVET Institutions in Nigeria.
Keywords
Cloud Computing, Technology Acceptance Model, Technical and Vocational Education and Training, Behavioural Intention.
Reference
[1] Eunil Park, and Ki Joon Kim, “An Integrated Adoption Model of Mobile Cloud Services: Exploration of Key Determinants and Extension of Technology Acceptance Model,” Telematics and Informatics, vol. 31, no. 3, pp. 376-385, 2014.
[CrossRef] [Google Scholar] [Publisher Link]
[2] Salem Asseed Alatresh, Asbi B. Ali, and Morad Ali Ambarek, “Cloud Computing Adoption by Business Organization: A Systematic Review,” Australian Journal of Basic and Applied Sciences, vol. 11, no. 13, pp. 17-28, 2017.
[CrossRef] [Google Scholar] [Publisher Link]
[3] Peter Mell, and Timothy Grance, The NIST Definition of Cloud Computing, National Institute of Standards and Technology, pp. 1-7, 2011.
[Google Scholar] [Publisher Link]
[4] Mahmoud Odeh, Kevin Warwick, and Oswaldo Cadenas, “Major Differences of Cloud Computing Adoption in Universities: Europe vs. Middle East,” Journal of Emerging Trends in Computing and Information Sciences, vol. 5, no. 12, pp. 948-952, 2014.
[Google Scholar] [Publisher Link]
[5] A. Singh, and M. Hemalatha, “Cloud Computing for Academic Environment,” International Journal of Information and Communication Technology Research, vol. 2, no. 2, pp. 97-101, 2012.
[Google Scholar]
[6] Oyeleye Christopher Akin, Fagbola Temitayo Matthew, and Y. Daramola Comfort, “The Impact and Challenges of Cloud Computing Adoption on Public Universities in Southwestern Nigeria,” International Journal of Advanced Computer Science and Applications, vol. 5, no. 8, pp. 13-19, 2014.
[CrossRef] [Google Scholar] [Publisher Link]
[7] A. Saleh, S.M. Drus, and S.S.M. Shariff, “Empirical Studies on Cloud Computing Adoption: A Systematic Literature Review,” Journal of Theoretical and Applied Information Technology, vol. 95, no. 24, pp. 6809-6832, 2017.
[Google Scholar] [Publisher Link]
[8] Nupur Gupta, and Sanjeev Thakur, “The Factors Affecting Adoption of Cloud Computing Technology in Education Institutions,” International Journal of Advanced Research in Computer and Communication Engineering, vol. 3, no. 6, pp. 7229-7235, 2014.
[Google Scholar] [Publisher Link]
[9] Tuncay Ercan, “Effective Use of Cloud Computing In Educational Institutions,” Procedia-Social and Behavioral Sciences, vol. 2, no. 2, pp. 938-942, 2010.
[CrossRef] [Google Scholar] [Publisher Link]
[10] O.T Arogundade et al., “Investigation of Factors Affecting Cloud Computing Adoption in Nigeria,” Journal of Natural Science, Engineering. & Technology, vol. 15, no. 2, pp. 73-94, 2016.
[CrossRef] [Google Scholar] [Publisher Link]
[11] Rebecca Adwoa Amponsah, Joseph Kobina Panford, and James Ben Hayfron-Acquah, “Factors Affecting Cloud Computing Adoption in a Developing Country Ghana: Using Extended Unified Theory of Acceptance and Use of Technology (UTAUT2) Model,” International Research Journal of Engineering and Technology, vol. 3, no. 11, pp. 59-76, 2016.
[Google Scholar] [Publisher Link]
[12] Christopher Omotunde, and Oluwatobi Iyanu Omotunde, “Factors Influencing Administrative Staff toward the Adoption of Cloud Computing,” Library Philosophy and Practice (e-journal), pp. 1-23, 2017.
[Google Scholar] [Publisher Link]
[13] Mark Stieninger et al., “Factors Influencing the Organizational Adoption of Cloud Computing: A Survey Among Cloud Workers,” International Journal of Information Systems and Project Management, vol. 6, no. 1, pp. 5-23, 2018.
[CrossRef] [Google Scholar] [Publisher Link]
[14] Garima Rastogi, Hemraj Verma, and Rama Sushil, “Determining Factors Influencing Cloud Services Adoption in India,” Serbian Journal of Management, vol. 13, no. 2, pp. 335-352, 2018.
[CrossRef] [Google Scholar] [Publisher Link]
[15] Abdulwahab Ali Almazroi et al., “Gender Effect on Cloud Computing Services Adoption by University Students: Case Study of Saudi Arabia,” International Journal of Innovation, vol. 7, no. 1, pp. 155-177, 2019.
[CrossRef] [Google Scholar] [Publisher Link]
[16] Viswanath Venkatesh, and Hillol Bala, “Technology Acceptance Model 3 and a Research Agenda on Intervention,” Decision Sciences, vol. 39, no. 2, pp. 273-315, 2008.
[CrossRef] [Google Scholar] [Publisher Link]
[17] Martin Fishbein, and Icek Ajzen, Belief, Attitude, Intention and Behavior: An Introduction to Theory and Research, Philippines: Addison Wesley Publishing Company, pp. 1-578, 1975.
[Google Scholar] [Publisher Link]
[18] Viswanath Venkatesh, and Fred D. Davis, “A Theoretical Extension of the Technology Acceptance Model: Four Longitudinal Field Studies,” Management Science, vol. 46, no. 2, pp. 186-204, 2000.
[CrossRef] [Google Scholar] [Publisher Link]
[19] Said S. Al-Gahtani, “Empirical Investigation of E-Learning Acceptance and Assimilation: A Structural Equation Model,” Applied Computing and Informatics, vol. 12, no. 1, pp. 27-50, 2014.
[CrossRef] [Google Scholar] [Publisher Link]
[20] Khaled M.S. Faqih, and Mohammed-Issa Riad Mousa Jaradat, “Assessing the Moderating Effect of Gender Differences and Individualism Collectivism at Individual-Level on the Adoption of Mobile Commerce Technology: TAM3 Perspective,” Journal of Retailing and Consumer Services, vol. 22, pp. 37-52, 2015.
[CrossRef] [Google Scholar] [Publisher Link]
[21] Gary C. Moore, and Izak Benbasat, “Development of an Instrument to Measure the Perceptions of Adopting an Information Technology Innovation,” Information Systems Research, vol. 2, no. 3, pp. 192-222, 1991.
[CrossRef] [Google Scholar] [Publisher Link]
[22] Viswanath Venkatesh, “Determinants of Perceived Ease of Use: Integrating Control, Intrinsic Motivation, and Emotion into the Technology Acceptance Model,” Information Systems Research, vol. 11, no. 4, pp. 342-365, 2000.
[CrossRef] [Google Scholar] [Publisher Link]
[23] Tony Cheng-Kui Huang, Chuang-Chun Liu, and Dong-Cheng Chang, “An Empirical Investigation of Factors Influencing the Adoption of Data Mining Tools,” International Journal of Information Management, vol. 32, no. 3, pp. 257-270, 2012.
[CrossRef] [Google Scholar] [Publisher Link]
[24] Ángel F. Agudo-Peregrina, Ángel Hernández-García, and Félix J. Pascual-Miguel, “Behavioral Intention, Use Behavior and the Acceptance of Electronic Learning Systems: Differences between Higher Education and Lifelong Learning,” Computers in Human Behavior, vol. 34, pp. 301-314, 2014.
[CrossRef] [Google Scholar] [Publisher Link]
[25] Jane Webster, and Joseph J. Martocchio, “Microcomputer Playfulness: Development of a Measure with Workplace Implications,” MIS Quarterly, vol. 16, no. 2, pp. 201-226, 1992.
[CrossRef] [Google Scholar] [Publisher Link]
[26] Abdulwahab Ali Almazroi, “An Empirical Study of Factors that Influence the Adoption of Cloud Computing Applications by Students in Saudi Arabian Universities,” Doctoral Dissertation, Flinders University, School of Computer Science, Engineering and Mathematics), pp. 1-354, 2017.
[Publisher Link]
[27] Julie Pallant, SPSS Survival Manual: A Step By Step Guide to Data Analysis Using SPSS, 4th Edition, Australia: Allen & Unwin, 2011.
[CrossRef] [Google Scholar] [Publisher Link]