Abstract
Cloud computing is a state-of-the-art technology that delivers computing resources to organizations and educational institutions over the Internet. Cloud computing services such as Google Apps, Microsoft education cloud, Amazon Web services, and IBM cloud academy help universities by facilitating teaching, learning, research, and other development activities. Nevertheless, one of the factors influencing cloud computing adoption is trust. Therefore, this paper aims at assessing the impact of trust on adopting cloud services by undergraduate students in Saudi Arabian universities. The study utilized a modified version of Technology Acceptance Model (TAM) by integrating trust to collect the empirical data. The data were gathered using a questionnaire from 527 undergraduate students in two Saudi Arabian universities. The responses were analyzed using SPSS and AMOS software. The findings showed that perceived usefulness, perceived ease of use, and trust are the significant predictors of intention to adopt cloud services. The findings suggested that perceived usefulness, perceived ease of use, and trust should be considered by decision makers in universities and cloud service providers in order to promote adoption of cloud services among students.
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References
Sun, D., et al.: Surveying and analyzing security, privacy and trust issues in cloud computing environments. Proc. Eng. 15, 2852–2856 (2011)
Prabowo, A.H., Janssen, M., Barjis, J.: A conceptual model for assessing the benefits of software as a service from different perspectives. In: Business Information Systems. Springer (2012)
Li, Y., Chang, K.-C.: A study on user acceptance of cloud computing: a multi-theoretical perspective. In: Eighteenth Americas Conference on Information Systems. Association for Information Systems AIS Electronic Library (AISeL), Washington (2012)
Al Tayeb, A., et al.: The impact of cloud computing technologies in e-learning. Int. J. Emerg. Technol. Learn. (iJET) 8(2013), 37–43 (2013)
Kim, W., et al.: Adoption issues for cloud computing. In: Proceedings of the 7th International Conference on Advances in Mobile Computing and Multimedia. ACM (2009)
Gonzalez, N., et al.: A quantitative analysis of current security concerns and solutions for cloud computing. In: 4th IEEE International Conference on Cloud Computing Technology and Science Proceedings. IEEE (2011)
Milić, A., Simić, K., Milutinović, M.: Cloud computing environment for E-learning services for students with disabilities. In: Mahmood, Z. (ed.) Continued Rise of the Cloud, pp. 363–381. Springer, London (2014)
González-MartÃnez, J.A., et al.: Cloud computing and education: a state-of-the-art survey. Comput. Educ. 80, 132–151 (2015)
Gens, F.: New IDC IT Cloud Services Survey: Top Benefits and Challenges (2009)
Alshuwaier, F.A., Alshwaier, A.A., Areshey, A.M.: Effective use of cloud computing services in education. J. Next Gener. Inf. Technol. 3(4), 38 (2012)
Rosati, P., et al.: Quantifying the financial value of cloud investments: a systematic literature review. In: 2017 IEEE International Conference on Cloud Computing Technology and Science (CloudCom). IEEE (2017)
Neelakantan, P.: A Study on E-Learning and Cloud Computing (2018)
Yadegaridehkordi, E., et al.: Predicting the adoption of cloud-based technology using fuzzy analytic hierarchy process and structural equation modelling approaches. Appl. Soft Comput. 66, 77–89 (2018)
Sabi, H.M., Uzoka, F.-M.E., Mlay, S.V.: Staff perception towards cloud computing adoption at universities in a developing country. Educ. Inf. Technol. 23, 1–24 (2018)
Davis, F.D.: A Technology Acceptance Model for Empirically Testing New End-User Information Systems: Theory and results. Massachusetts Institute of Technology, Cambridge (1986)
Davis, F.D.: Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Q. 13(3), 319–340 (1989)
Alharbi, S.T.: Trust and acceptance of cloud computing: a revised UTAUT model. In: 2014 International Conference on Computational Science and Computational Intelligence, Las Vegas, Nevada, USA. IEEE (2014)
Van der Schyff, K., Krauss, K.E.: Higher education cloud computing in South Africa: towards understanding trust and adoption issues. S. Afr. Comput. J. 55, 40–55 (2014)
Pavlou, P.A.: Consumer acceptance of electronic commerce: integrating trust and risk with the technology acceptance model. Int. J. Electron. Commer. 7(3), 101–134 (2003)
Pavlou, P.: Integrating trust in electronic commerce with the technology acceptance model: model development and validation. In: Seventh Americas Conference on Information Systems, Boston, USA (2001)
Mary, M., Pauline, R.: The impact of trust on the technology acceptance model in business to consumer E-commerce. In: Mehdi, K.-P. (ed.) Innovations Through Information Technology, pp. 921–924. Idea Group Publishing, London (2004)
Davis, F.D., Bagozzi, R.P., Warshaw, P.R.: User acceptance of computer technology: a comparison of two theoretical models. Manag. Sci. 35(8), 982–1003 (1989)
Venkatesh, V., Bala, H.: Technology acceptance model 3 and a research agenda on interventions. Decis. Sci. 39(2), 273–315 (2008)
Pikkarainen, T., et al.: Consumer acceptance of online banking: an extension of the technology acceptance model. Intern. Res. 14(3), 224–235 (2004)
Chapman, D.W., Carter, J.F.: Translation procedures for the cross cultural use of measurement instruments. Educ. Eval. Policy Anal. 1(3), 71–76 (1979)
Hair, J.F., et al.: Multivariate Data Analysis. Pearson, London (2010)
Saunders, M.N., Lewis, P., Thornhill, A.: Research Methods for Business Students, 5th edn. Prentice Hall, London (2009)
Sekaran, U.: Research Methods for Business: A Skill Building Approach, 4th edn. Wiley, New York (2003)
Creswell, J.W.: Research Design: Qualitative, Quantitative, and Mixed Methods Approaches, 3rd edn. Sage Publications, Thousand Oaks (2009)
Kothari, C.R.: Research Methodology: Methods and Techniques. New Age International, New Delhi (2004)
Fornell, C., Larcker, D.F.: Evaluating structural equation models with unobservable variables and measurement error. J. Mark. Res. 18(1), 39–50 (1981)
Behrend, T.S., et al.: Cloud computing adoption and usage in community colleges. Behav. Inf. Technol. 30(2), 231–240 (2011)
Faqih, K.M., Jaradat, M.-I.R.M.: Assessing the moderating effect of gender differences and individualism-collectivism at individual-level on the adoption of mobile commerce technology: TAM3 perspective. J. Retail. Consum. Serv. 22, 37–52 (2015)
Al-Gahtani, S.S.: Empirical investigation of E-learning acceptance and assimilation: a structural equation model. Appl. Comput. Inf. 12(1), 27–50 (2014)
Venkatesh, V., Davis, F.D.: A theoretical extension of the technology acceptance model: four longitudinal field studies. Manag. Sci. 46(2), 186–204 (2000)
Gefen, D., Karahanna, E., Straub, D.W.: Trust and TAM in online shopping: an integrated model. MIS Q. 27(1), 51–90 (2003)
Chircu, A.M., Davis, G.B., Kauffman, R.J.: Trust, expertise, and E-commerce intermediary adoption. In: AMCIS 2000 Proceedings, pp. 710–716 (2000)
Belanche, D., Casaló, L.V., Flavián, C.: Integrating trust and personal values into the technology acceptance model: the case of E-government services adoption. Cuad. Econ. Dir. Empresa 15(4), 192–204 (2012)
Carter, L., Weerakkody, V.: E-government adoption: a cultural comparison. Inf. Syst. Front. 10(4), 473–482 (2008)
Zafiropoulos, K., Karavasilis, I., Vrana, V.: Assessing the adoption of E-government services by teachers in Greece. Future Intern. 4(2), 528–544 (2012)
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Almazroi, A.A., Shen, H., Mohammed, F. (2019). The Impact of Trust on the Adoption of Cloud Computing Services by University Students. In: Saeed, F., Gazem, N., Mohammed, F., Busalim, A. (eds) Recent Trends in Data Science and Soft Computing. IRICT 2018. Advances in Intelligent Systems and Computing, vol 843. Springer, Cham. https://doi.org/10.1007/978-3-319-99007-1_84
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