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Enabling Factors for SaaS Business Intelligence Adoption: A Theoretical Framework Proposal

  • Antonella Ferrari
  • Cecilia Rossignoli
  • Alessandro Zardini
Chapter

Abstract

The research question of this study attempts to identify which are the enabling factors for the adoption of a sourcing SaaS (Software as a Service) model for Business Intelligence applications. The objective of this paper is to propose a model containing enabling factors for the adoption of BI solutions. We seek to expand on the Benlian et al. model [1] which is based on a theoretical framework including axioms from Transaction Cost Theory, Resource Based View and Theory of Planned Behavior. It is a theoretical research in progress which provides a first step towards a qualitative approach, based on case study, for the practical evaluation of the proposed model. The new model will consider all the three categories of factors: organizational, economic and technological and their relationships with the hypotheses explained in the paper.

References

  1. 1.
    Benlian, A., Hess T. and Buxmann, P. (2009) Drivers of SaaS-Adoption- An Empirical Study of Different Application Types, Business & Information Systems Engineering, 5:357–368Google Scholar
  2. 2.
    Buxmann, P., Hess T. and Lehmann, S. (2008) Software as a Service, Wirtschaftsinfor matik, 50(6):500–503Google Scholar
  3. 3.
    Imhoff, C. And White, C. (2009) An Evolutionary Approach to Master Data Management, Business Intelligence Network Research Report, JanuaryGoogle Scholar
  4. 4.
    Jung, J. and Bube, L.(2008) Software as a Service wird kollabieren. http://www.networkcomputing.de/software-as-a-service-wird-kollabieren/. Accessed 2009-09-13
  5. 5.
    Prehl, S. (2008) Software as a Sevice erreicht Europa. http://www.computerwoche.de/knowledge_center/it_services/1870304/. Accessed 2008-06-30
  6. 6.
    Benlian, A. and Hess, T. (2009) Welche Treiber lassen SaaS auch in Großunternehmen zum Erfolg werden? Eine empirische Analyse der SaaS-Adoption auf Basis der Transaktionkostentheorie, Proceedings of the 9th international conference Wirtschaftinformatik ( Volume 1 ), ViennaGoogle Scholar
  7. 7.
    Williamson, O.E. (1991) Comparative economic organization: The analysis of discrete structural alternatives, Administrative Science Quarterly 36(2):269–296Google Scholar
  8. 8.
    Blumberg, S., Beimborn, D., Koenig, W., (2008) Determinants of IT outsourcing relationships: a conceptual model, Proceedings of the 41th Hawaii international conference on system sciences, WaikoloaGoogle Scholar
  9. 9.
    Nam, K., Rajagopalan, S., Rao, H.R. and Chaudhury, A. (1996) A two-level investigation of information systems outsourcing, Communications of the ACM 39(7):37–44Google Scholar
  10. 10.
    Aubert, B., Rivard, S.and Patry, M. (2004) A transaction cost model of IT outsourcing, Information and Management 41(7):921–932Google Scholar
  11. 11.
    Dibbern, J. (2004) Sourcing of application software services. Empirical evidence of cultural, industry and functional differences. Physica, HeidelbergGoogle Scholar
  12. 12.
    Barney, J. (1991) Firm resources and sustained competitive advantage, Journal of Management 17(1):99–120Google Scholar
  13. 13.
    Porter, M.E. and Millar, V.E. (1980) How information gives you competitive advantage, Harvard Business Review, 63(4), 149–160Google Scholar
  14. 14.
    Clemmons, E.K. , Reddi, S.P. and Row, M.C. (1991) The Impact of Information Technology on the Organization of Economic Activity: The “Move to the Middle” Hypothesis, Journal of Management Information Systems, 10(2), 9–35Google Scholar
  15. 15.
    Ajzen, I. (1985) From intentions to actions: A theory of planned behavior. In J. Kuhl, & J. Beckmann (Eds.), Springer series in social psychology (pp. 11–39). Berlin: SpringerGoogle Scholar
  16. 16.
    Ajzen, I. (1991) The theory of planned behavior, Organizational Behavior and Human Decision Processes, 50(2), 179–211Google Scholar
  17. 17.
    Eagly, A. H. and Chaiken, S. (1993) The psychology of attitudes. Fort Worth: Harcourt Brace Jovanovich College PublishersGoogle Scholar
  18. 18.
    Goodhued, D.L. and Thompson, R.L. (1995) Task-Technology Fit and Individual Performance, MIS Quarterly, June 1995, 19(2), 213–236Google Scholar
  19. 19.
    Lacity, M., Hirschheim, R., Willcocks, L. (1994) Realizing outsourcing expectations: incredible promise, credible outcomes, Journal of Information Systems Management, 11(4),7-18.Google Scholar
  20. 20.
    Clark, D.T., Jones, M.C. and Armstrong, C.P. (2007) The dynamic structure of Management Support System: theory development, research focus, and direction, MIS Quarterly, 31(3), 579–615Google Scholar
  21. 21.
    DeLone, W. and McLean, E.R. (2003) The DeLone and McLean Model of Information Systems Success: A Ten-Year Update, Journal of Management Information Systems, 19(4), 9–30.Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2011

Authors and Affiliations

  • Antonella Ferrari
    • 1
  • Cecilia Rossignoli
    • 2
  • Alessandro Zardini
    • 2
  1. 1.Polytechnic Institute of MilanMilanItaly
  2. 2.Department of Business AdministrationUniversity of VeronaVeronaItaly

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