Cloud Computing Services Adoption by University Students: Pilot Study Results

  • Abdulwahab Ali AlmazroiEmail author
  • Haifeng Shen
  • Fathey Mohammed
  • Nabil Hasan Al-Kumaim
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 1073)


Cloud computing applications provide computing resources and services on demand via the Internet. Implementation and adoption of cloud services can lead to improved performance and reduced cost related to the computing services. In developing countries, more specific in the high education sector, cloud computing services adoption is low. This paper presents the pilot study which is conducted to validate the instrument developed for examining the factors affecting the adoption of cloud computing services by university students. A small sample of university students in Saudi Arabia was targeted to collect the data for validating the questionnaire which was developed by adapting TAM3 and related studies constructs’ items. The results indicate that all the measures used in the questionnaire are reliable.


Cloud services University students Technology acceptance model Adoption 


  1. 1.
    Sultan, N.: Cloud computing for education: a new dawn? Int. J. Inf. Manag. 30(2), 109–116 (2010)CrossRefGoogle Scholar
  2. 2.
    Buyya, R., Broberg, J., Goscinski, A.M.: Cloud Computing: Principles and Paradigms, vol. 87. Wiley, Hoboken (2010)Google Scholar
  3. 3.
    Armbrust, M., et al.: Above the Clouds: a Berkeley View of Cloud Computing 2009. University of California at Berkeley, Berkeley (2016)Google Scholar
  4. 4.
    Motta, G., Sfondrini, N., Sacco, D.: Cloud computing: an architectural and technological overview. In: 2012 International Joint Conference on Service Sciences. IEEE (2012)Google Scholar
  5. 5.
    González-Martínez, J.A., et al.: Cloud computing and education: a state-of-the-art survey. Comput. Educ. 80, 132–151 (2015)CrossRefGoogle Scholar
  6. 6.
    Tashkandi, A.N., Al-Jabri, I.M.: Cloud computing adoption by higher education institutions in Saudi Arabia: an exploratory study. Cluster Comput. 18(4), 1527–1537 (2015)CrossRefGoogle Scholar
  7. 7.
    AlCattan, R.F.: Integration of cloud computing and web 2.0 collaboration technologies in E-learning. Int. J. Comput. Trends Technol. 12(1), 46–55 (2014)CrossRefGoogle Scholar
  8. 8.
    Ministry of Communications and Information Technology: $29 billion, the size of Saudi Arabia’s investments in cloud (2014). Accessed 5 Feb 2015
  9. 9.
    Alsanea, M., Wainwright, D.: Identifying the determinants of cloud computing adoption in a government sector – a case study of Saudi organisation. Int. J. Bus. Manag. Stud. 6(2), 29–43 (2014)Google Scholar
  10. 10.
    Sabi, H.M., et al.: Conceptualizing a model for adoption of cloud computing in education. Int. J. Inf. Manag. 36(2), 183–191 (2016)CrossRefGoogle Scholar
  11. 11.
    Irshad, M.B.M., Johar, M.G.M.: A study of undergraduate use of cloud computing applications: special reference to Google Docs. Eur. J. Comput. Sci. Inf. Technol. 3(4), 22–32 (2015)Google Scholar
  12. 12.
    Tashkandi, A., Al-Jabri, I.M.: Cloud computing adoption by higher education institutions in Saudi Arabia. In: 2015 International Conference on Cloud Computing, Riyadh, Saudi Arabia (2015)Google Scholar
  13. 13.
    Hashim, H.S., Hassan, Z.B., Hashim, A.S.: Factors influence the adoption of cloud computing: A comprehensive review. Int. J. Educ. Res. 3(7), 295–306 (2015)Google Scholar
  14. 14.
    Alotaibi, M.B.: Exploring users’ attitudes and intentions toward the adoption of cloud computing in Saudi Arabia: an empirical investigation. J. Comput. Sci. 10(11), 2315–2329 (2014)CrossRefGoogle Scholar
  15. 15.
    Ibrahim, M.S., Salleh, N., Misra, S.: Empirical studies of cloud computing in education: a systematic literature review, In: The 15th International Conference on Computational Science and Its Applications, pp. 725–737. Springer, Alberta, Canada (2015)Google Scholar
  16. 16.
    Almazroi, A.A., Shen, H., Mohammed, F.: The impact of trust on the adoption of cloud computing services by university students. In: International Conference of Reliable Information and Communication Technology. Springer (2018)Google Scholar
  17. 17.
    AlAjmi, Q., et al.: A conceptual model of e-learning based on cloud computing adoption in higher education institutions. In: 2017 International Conference on Electrical and Computing Technologies and Applications (ICECTA). IEEE (2017)Google Scholar
  18. 18.
    Al-Sharafi, M.A., Arshah, R.A., Abu-Shanab, E.A.: Factors influencing the continuous use of cloud computing services in organization level. In: Proceedings of the International Conference on Advances in Image Processing. ACM (2017)Google Scholar
  19. 19.
    Alhammadi, A., Stanier, C., Eardley, A.: The determinants of cloud computing adoption in Saudi Arabia. In: Second International Conference on Computer Science & Engineering. AIRCC Publishing Corporation, Duba, United Arab Emirates (2015)Google Scholar
  20. 20.
    Al-Jabri, I.M.: The perceptions of adopters and non-adopters of cloud computing: application of technology-organization-environment framework. In: 14th International Conference on Electronic Business, Taipei, Taiwan (2014.)Google Scholar
  21. 21.
    Opala, O.J., Rahman, S.M.: An exploratory analysis of the influence of information security on the adoption of cloud computing. In: 2013 8th International Conference on System of Systems Engineering. IEEE, Wailea-Makena, Hawaii, USA (2013)Google Scholar
  22. 22.
    Alharbi, S.T.: Users’ acceptance of cloud computing in Saudi Arabia: an extension of technology acceptance model. Int. J. Cloud Appl. Comput. 2(2), 1–11 (2012)MathSciNetGoogle Scholar
  23. 23.
    Hew, T.-S., Kadir, S.L.S.A.: Predicting the acceptance of cloud-based virtual learning environment: the roles of self determination and channel expansion theory. Telemat. Inf. 33(4), 990–1013 (2016)CrossRefGoogle Scholar
  24. 24.
    Cao, Y., Bi, X., Wang, L.: A study on user adoption of cloud storage service in China: a revised unified theory of acceptance and use of technology model. In: 2013 International Conference on Information Science and Cloud Computing Companion. IEEE, Guangzhou, China (2013)Google Scholar
  25. 25.
    Nguyen, T.D., et al.: Acceptance and use of E-learning based on cloud computing: the role of consumer innovativeness. In: International Conference on Computational Science and Its Applications. Springer, Guimarães, Portugal (2014)Google Scholar
  26. 26.
    Ratten, V.: Continuance use intention of cloud computing: innovativeness and creativity perspectives. J. Bus. Res. 69(5), 1737–1740 (2016)CrossRefGoogle Scholar
  27. 27.
    Park, S.-T., et al.: Factors affecting the continuous use of cloud service: focused on security risks. Cluster Comput. 19(1), 485–495 (2015)CrossRefGoogle Scholar
  28. 28.
    Burda, D., Teuteberg, F.: The role of trust and risk perceptions in cloud archiving—results from an empirical study. J. High Technol. Manag. Res. 25(2), 172–187 (2014)CrossRefGoogle Scholar
  29. 29.
    Arpaci, I.: Understanding and predicting students’ intention to use mobile cloud storage services. Comput. Hum. Behav. 58, 150–157 (2016)CrossRefGoogle Scholar
  30. 30.
    Ratten, V.: Factors influencing consumer purchase intention of cloud computing in the United States and Turkey: the role of performance expectancy, ethical awareness and consumer innovation. EuroMed J. Bus. 10(1), 80–97 (2015)CrossRefGoogle Scholar
  31. 31.
    Trenz, M., Huntgeburth, J.C., Veit, D.: The role of uncertainty in cloud computing continuance: antecedents, mitigators, and consequences. In: 21st European Conference on Information Systems, Utrecht, Netherlands (2013)Google Scholar
  32. 32.
    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, USA (2012)Google Scholar
  33. 33.
    Behrend, T.S., et al.: Cloud computing adoption and usage in community colleges. Behav. Inf. Technol. 30(2), 231–240 (2011)CrossRefGoogle Scholar
  34. 34.
    Clarke, R.: A primer in diffusion of innovations theory (1999). Accessed 15 Mar 2016
  35. 35.
    Liu, J.: E-learning in english classroom: Investigating factors impacting on ESL (english as second language) college students’ acceptance and use of the modular object-oriented dynamic learning environment (Moodle). Iowa State University - Ames, Iowa, USA (2013)Google Scholar
  36. 36.
    Rui, G.: Information systems innovation adoption among organizations - a match-based framework and empirical studies, in Information System. National University of Singapore – Singapore (2007)Google Scholar
  37. 37.
    Venkatesh, V., Davis, F.D.: A theoretical extension of the technology acceptance model: four longitudinal field studies. Manag. Sci. 46(2), 186–204 (2000)CrossRefGoogle Scholar
  38. 38.
    Venkatesh, V., Bala, H.: Technology acceptance model 3 and a research agenda on interventions. Dec. Sci. 39(2), 273–315 (2008)CrossRefGoogle Scholar
  39. 39.
    Al-Gahtani, S.S.: Empirical investigation of E-learning acceptance and assimilation: a structural equation model. Appl. Comput. Inf. 12(1), 27–50 (2014)Google Scholar
  40. 40.
    Chang, S.J., Im, E.-O.: A path analysis of internet health information seeking behaviors among older adults. Geriatric Nurs. 35(2), 137–141 (2014)CrossRefGoogle Scholar
  41. 41.
    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)CrossRefGoogle Scholar
  42. 42.
    Agudo-Peregrina, Á.F., Hernández-García, Á., Pascual-Miguel, F.J.: Behavioral intention, use behavior and the acceptance of electronic learning systems: differences between higher education and lifelong learning. Comput. Hum. Behav. 34, 301–314 (2014)CrossRefGoogle Scholar
  43. 43.
    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)Google Scholar
  44. 44.
    Alharbi, S.T.: Trust and acceptance of cloud computing: a revised UTAUT model. In: 2014 International Conference on Computational Science and Computational Intelligence. IEEE, Las Vegas, Nevada, USA (2014)Google Scholar
  45. 45.
    Davis, F.D.: Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Q. 319–340 (1989)Google Scholar
  46. 46.
    Compeau, D.R., Higgins, C.A.: Computer self-efficacy: development of a measure and initial test. MIS Q. 189–211 (1995)Google Scholar
  47. 47.
    Mathieson, K.: Predicting user intentions: Comparing the technology acceptance model with the theory of planned behavior. Information systems research 2(3), 173–191 (1991)CrossRefGoogle Scholar
  48. 48.
    Taylor, S., Todd, P.A.: Understanding information technology usage: a test of competing models. Inf. Syst. Res. 6(2), 144–176 (1995)CrossRefGoogle Scholar
  49. 49.
    Heinssen, R.K., Glass, C.R., Knight, L.A.: Assessing computer anxiety: development and validation of the computer anxiety rating scale. Comput. Hum. Behav. 3(1), 49–59 (1987)CrossRefGoogle Scholar
  50. 50.
    Davis, F.D., Bagozzi, R.P., Warshaw, P.R.: Extrinsic and intrinsic motivation to use computers in the workplace. J. Appl. Soc. Psychol. 22(14), 1111–1132 (1992)CrossRefGoogle Scholar
  51. 51.
    Moore, G.C., Benbasat, I.: Development of an instrument to measure the perceptions of adopting an information technology innovation. Inf. Syst. Res. 2(3), 192–222 (1991)CrossRefGoogle Scholar
  52. 52.
    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)CrossRefGoogle Scholar
  53. 53.
    Sekaran, U.: Research Methods for Business: A Skill Building Approach, 4th edn. Wiley, Hoboken (2003)Google Scholar
  54. 54.
    Hair, J.F., et al.: Multivariate Data Analysis. Pearson, London (2010)Google Scholar

Copyright information

© Springer Nature Switzerland AG 2020

Authors and Affiliations

  • Abdulwahab Ali Almazroi
    • 1
    Email author
  • Haifeng Shen
    • 2
  • Fathey Mohammed
    • 3
  • Nabil Hasan Al-Kumaim
    • 4
  1. 1.Faculty of Computing and Information TechnologyUniversity of JeddahKhulaisSaudi Arabia
  2. 2.Faculty of Law and BusinessAustralian Catholic UniversityBrisbaneAustralia
  3. 3.School of ComputingUniversiti Utara MalaysiaBukit Kayu HitamMalaysia
  4. 4.Faculty of Technology Management and TechnopreneurshipUniversiti Teknikal MalaysiaMelakaMalaysia

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