Drivers for the Actual Usage of Cloud Services: An Examination of Influencing Factors for Digital Natives

  • Mark Stieninger
  • Dietmar Nedbal
Part of the Lecture Notes in Computer Science book series (LNCS, volume 8512)


Cloud Computing has been gaining significant relevance throughout the business as well as the private environment. With several factors responsible for this adoption, this paper explores the influence of the perceived usefulness, perceived ease of use, trust, costs and age on the actual usage of Cloud services. The focus is set on the group of digital natives whereat attitudinal differences amongst them are examined in a survey. Correlation analyses show that the factors perceived usefulness, perceived ease of use, trust and age influence the actual usage of Cloud services, whereas the factor costs has no statistically significant relationship with the actual usage.


Cloud Computing cloud services digital natives technology acceptance model influencing factors technology adoption 


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  1. 1.
    Dillon, T., Wu, C., Chang, E.: Cloud Computing: Issues and Challenges. In: 2010 24th IEEE International Conference on Advanced Information Networking and Applications (AINA), pp. 27–33. IEEE Computer Society (2010), doi:10.1109/AINA.2010.187Google Scholar
  2. 2.
    Sun, W., Zhang, X., Guo, C.J., Sun, P., Su, H.: Software as a Service: Configuration and Customization Perspectives. In: IEEE Congress on Services Part II, pp. 18–25 (2008)Google Scholar
  3. 3.
    Weinhardt, C., Anandasivam, A., Blau, B., Borissov, N., Meinl, T., Michalk, W., Stoesser, J.: Cloud Computing – A Classification, Business Models and Research Directions. Business & Information Systems Engineering 1(5), 391–399 (2009)CrossRefGoogle Scholar
  4. 4.
    Hayes, B.: Cloud computing. Commun. ACM 51(7), 9–11 (2008), doi:10.1145/1364782.1364786CrossRefGoogle Scholar
  5. 5.
    BITKOM - Bundesverband Informationswirtschaft, Telekommunikation und neue Medien e.V.: Umsatz mit Cloud Computing steigt auf fast 8 Milliarden Euro, Hannover (2013)Google Scholar
  6. 6.
    KPMG AG Wirtschaftsprüfungsgesellschaft: Cloud Monitor 2013. Cloud Computing in Deutschland - Status quo und Perspektiven (2013)Google Scholar
  7. 7.
    Stieninger, M., Nedbal, D.: Diffusion and Acceptance of Cloud Computing in SMEs: Towards a Valence Model of Relevant Factors. In: Proceedings of the 47th Hawaii International Conference on System Sciences. Hawaii International Conference on System Sciences, pp. 3307–3316 (2014)Google Scholar
  8. 8.
    Cullen, R.: Addressing the digital divide. Online Information Review 25(5), 311–320 (2001)CrossRefGoogle Scholar
  9. 9.
    Nedbal, D., Auinger, A., Hochmeier, A., Holzinger, A.: A Systematic Success Factor Analysis in the Context of Enterprise 2.0: Results of an Exploratory Analysis Comprising Digital Immigrants and Digital Natives. In: Huemer, C., Lops, P. (eds.) EC-Web 2012. LNBIP, vol. 123, pp. 163–175. Springer, Heidelberg (2012), doi:10.1007/978-3-642-32273-0_14CrossRefGoogle Scholar
  10. 10.
    Palfrey, J.G., Gasser, U.: Born digital. Understanding the first generation of digital natives. Basic Books, New York (2008)Google Scholar
  11. 11.
    Stieninger, M., Nedbal, D.: Characteristics of Cloud Computing in the Business Context: A Systematic Literature Review. Global Journal of Flexible Systems Management (2014)Google Scholar
  12. 12.
    Yang, H., Tate, M.: A Descriptive Literature Review and Classification of Cloud Computing Research. Communications of the ACM 31(1), 35–60 (2012)Google Scholar
  13. 13.
    Mell, P., Grance, T.: The NIST definition of cloud computing, 800-145. National Institute of Standards and Technology (2011), (accessed January 23, 2013)
  14. 14.
    Wang, E., Myers, M.D., Sundaram, D.: Digital Natives and Digital Immigrants: Towards a Model of Digital Fluency. In: ECIS 2012 Proceedings (2012)Google Scholar
  15. 15.
    Neumair, S.M., Schlesinger, D.M., Haas, H.D.: Internationale Wirtschaft: Unternehmen und Weltwirtschaftsraum im Globalisierungsprozess. Oldenbourg Wissenschaftsverlag (2012)Google Scholar
  16. 16.
    James, J.: From origins to implications: key aspects in the debate over the digital divide. J. Inf. Technol. 22(3), 284–295 (2007), doi:10.1057/palgrave.jit.2000097CrossRefGoogle Scholar
  17. 17.
    OECD: Understanding the Digital Divide (2001)Google Scholar
  18. 18.
    Colby, D.: Conceptualizing The “Digital Divide”: Closing The “Gap” By Creating A Postmodern Network That Distributes The Productive Power Of Speech. Communication Law and Policy 6(1), 123–173 (2001), doi:10.1207/S15326926CLP0601_04CrossRefMathSciNetGoogle Scholar
  19. 19.
    Vie, S.: Digital Divide 2.0: “Generation M” and Online Social Networking Sites in the Composition Classroom. Computers and Composition 25(1), 9–23 (2008), doi:10.1016/j.compcom.2007.09.004CrossRefGoogle Scholar
  20. 20.
    Wei, K.-K., Teo, H.-H., Chan, H.C., Tan, B.C.Y.: Conceptualizing and Testing a Social Cognitive Model of the Digital Divide. Information Systems Research 22(1), 170–187 (2011), doi:10.1287/isre.1090.0273CrossRefGoogle Scholar
  21. 21.
    Riggins, F.J., Dewan, S.: The Digital Divide: Current and Future Research Directions. Journal of the Association for Information Systems (6) (2005)Google Scholar
  22. 22.
    Prensky, M.: Digital Natives, Digital Immigrants Part 1. On the Horizon 9(5), 1–6 (2001)CrossRefGoogle Scholar
  23. 23.
    Davis, F.: User Acceptance of Information Systems. The Technology Acceptance Model (TAM), Michigan (1987)Google Scholar

Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  • Mark Stieninger
    • 1
  • Dietmar Nedbal
    • 1
  1. 1.University of Applied Sciences Upper AustriaSteyrAustria

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