INVESTIGATION OF FACTORS AFFECTING CLOUD COMPUTING ADOPTION IN NIGERIA
DOI:
https://doi.org/10.51406/jnset.v15i2.1687Keywords:
attitude, cloud computing, intention, TAM, adoption and self-efficacyAbstract
Cloud computing is a viable alternative for meeting the technological needs of many enterprises with the benefits of instantaneous computing resource fulfillment, technology expenditures at lower costs, common technology platforms that can facilitate standardization and decreased need for internal technology support personnel. This paper examined the behavioral intention to adopt cloud computing services in large and small organization using an Enhanced Technology Acceptance Model (ETAM). The aim is to investigate the factors affecting cloud computing adoption in Nigeria. The model includes variables that other research has found related to adoption of new computing services and technologies. Regression Analysis was then deployed to test the research hypotheses. The result of regression analysis revealed that attitude and adopters ability to use cloud computing (self-efficacy) were better predictor of intention; perceived usefulness and perceived ease of use of cloud computing were better predictor of attitude; perceived ease of use and the relevant of cloud computing to adopters’ work (job relevance) were the predictor of perceived usefulness.
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Bhaskar P., Admela J., Dimitrios K., Yves, G. 2011. Architectural Requirements for Cloud Computing Systems: An Enterprise Cloud Approach. Journal of Grid Computing 9(1), 2011, 3-26.
Cervone, H. F. 2010. An overview of virtual and cloud computing. OCLC Systems and
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Chau P. Y. K., Tam K. Y. 1997. Factors Affecting the Adoption of Open Systems. School of Business, The University of Hong Kong, Pokfulam, Hong Kong, PR China, 1997.
Compeau, D. R., Higgins, C. A. 1995. Computer Self-Efficacy: Development of a Measure and Initial Test. MIS Quarterly, 19(2), 189-211.
COSO, 2013. Defining “Cloud Service” and “Cloud Computing” www.gartner.com.
Davis F. 1991. A Technology Acceptance Model for Empirically Testing New End-
User Information Systems: Theory and Results. Massachusetts Institute of Technology: Salon School of Management, Cambridge USA.
Davis, F. D. 1989. Perceived usefulness, Perceived ease of use, and User Acceptance of Information Technology. MIS Quarterly 13 (3), 319–340.
Davis, F. D., Bagozzi, R. P., Warshaw, P. R. 1993. Extrinsic and Intrinsic Motivation to Use Computers in the Workplace. Journal of Applied Social Psychology, 22(14): 1111-1132.
Davis, F. D., Bagozzi, R. P., Warshaw, P. R. 1989. User Acceptance of Computer Technology: A Comparison of Two Theoretical Models. Management Science, 35 (8), 982-1003.
Chao, W. P. 2006. Acceptance of Electronic Tax Filing: A study of tax payers intentions, Journal of Information & Management, 43, 109-126.
Gital, A. Y., Zambuk, F. U. 2011. Cloud Computing: Solution to IT in higher education in Nigeria. Advances in Applied Science Research, 2, 364-369.
Hair, J. F., Black, W. C., Babin, J. B., Anderson, R. E. 2010. Multivariate Data Analysis. Englewood Cliffs, NJ: Prentice Hall.
Igbaria, M., Iivari, J. 1995. The Effects of Self-Efficacy on Computer Usage. Omega, 23(6), 587- 605.
Igbaria, M., Guimaraes, T., Davis, B. D. 1995. Testing the Determinants of Microcomputer Usage via a Structural Equation Model. Journal of Management Information Systems, 11(4), 87-114. Kaiser, M. O. (1974). Test for Sampling Adequacy. ww.statisticshowto.com/kaiser-meyer-olkin/. May 11,1974.
Kottemann, J. E., Davis, F. D. 1991. Decisional Conflict and User Acceptance of Multicriteria Decision-Making Aids.
Mell, P., Grance, T. 2011. The NIST Definition of Cloud Computing. Computer Security Division, Information Technology Laboratory, National Institute of Standards and Technology, United States Department of Commerce.
Moore, G. C., Benbasat, I. 1991. Development of an instrument to measure the perceptions of adopting an information technology innovation. Information Systems Research, 2( 3) ,173-191.
National Institute of Standards and Technology (NIST) - Computer Security Division http://csrc.nist.gov/groups/SNS/cloud-computing/
Repschlaeger, J., Wind, S., Zarnekow, R. and Turowski, K. 2012. "Selection Criteria for Software as a Service: An Explorative Analysis of Provider Requirements" AMCIS 2012 Proceedings. 3.
Rogers, E. 2003. Diffusion of Innovations. Simon and Schuster.
Safiya, O., Mueen, U., Amad, A., Raed, A., Asdullah, S. 2014. Cloud Computing Adoption Model for Universities to Increase IT Proficiency. Published by: http://www.sagepublications.com
Shimba, F. 2010. Cloud computing : Strategies for cloud computing adoption (Master’s thesis). Dublin Institute of Technology, Ireland.
Taylor, S., Todd, P. 1995. Assessing IT Usage: The Role of Prior Experience. MIS Quarterly, Vol. 19(4), 561-570
Tojib, D., Sugianto, L. 2011. Construct validity assessment in IS research: Methods and case example of user satisfaction scale. Journal of Organizational and End User Computing. 23 (1): 38 - 63 26
Triandis, H. C., 1980. Values, Attitudes and Interpersonal Behavior. University of Nebraska Press, Lincoln, NE.
Ume, A., Bassey, A., Ibrahim, H. 2012. Impediments facing the introduction of cloud computing among organizations in developing countries: Finding the answer. Asian Transactions on Computers, 2, 12-20.
Venkatesh, V., Davis, F. D. 2000. A theoretical extension of the technology Acceptance model: Four longitudinal field studies. Management Science 46 (2), 186–204.
Zhang, Q., Cheng, L., Boutab, R., 2010. Cloud Computing: state-of-the-art and research challenges. Journal of Internet Services and Applications, 1, 7-18.
