IDEAS home Printed from https://ideas.repec.org/p/dar/wpaper/103159.html
   My bibliography  Save this paper

Drivers of SaaS-Adoption - An Empirical Study of different Application Types

Author

Listed:
  • Benlian, Alexander
  • Hess, Thomas
  • Buxmann, Peter

Abstract

Software-as-a-Service (SaaS) is said to become an important cornerstone of the Internet of Services. However, while some market research and IT provider firms fervently support this point of view, others already conjure up the failure of this on-demand sourcing option. Oftentimes based on weak empirical data and shaky reasoning, these inconsistent perspectives lack scientific rigor and neglect to present a more differentiated picture of SaaS-adoption. This study seeks to deepen the understanding of factors driving the adoption of Software-as-a-Service (SaaS). Grounded in transaction cost theory, the resource-based view, and the theory of planned behavior, we develop a research model to assess SaaS-adoption at the application level. Survey data of 297 firms in Germany with 374 valid response items across different industries were collected to test the theoretical model. Our analysis revealed that patterns on the decision on SaaS-adoption differ across application types. Social influence, attitude toward SaaS-adoption, adoption uncertainty, and strategic value turned out to be the strongest and most consistent drivers across all application types. Furthermore, we found that firm size does not matter in SaaS-adoption, since large enterprises and small- and medium-sized companies had similar adoption rates. Overall, this study provides relevant findings that IT vendors can use to better appeal to potential companies that consider adopting SaaS.

Suggested Citation

  • Benlian, Alexander & Hess, Thomas & Buxmann, Peter, 2009. "Drivers of SaaS-Adoption - An Empirical Study of different Application Types," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 103159, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).
    • Handle: RePEc:dar:wpaper:103159
    Note: for complete metadata visit http://tubiblio.ulb.tu-darmstadt.de/103159/
    as

    Download full text from publisher

    File URL: https://link.springer.com/article/10.1007/s12599-009-0068-x
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Detmar Straub & Moez Limayem & Elena Karahanna-Evaristo, 1995. "Measuring System Usage: Implications for IS Theory Testing," Management Science, INFORMS, vol. 41(8), pages 1328-1342, August.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Sarv Devaraj & Robert F. Easley & J. Michael Crant, 2008. "Research Note ---How Does Personality Matter? Relating the Five-Factor Model to Technology Acceptance and Use," Information Systems Research, INFORMS, vol. 19(1), pages 93-105, March.
    2. Sarv Devaraj & Ming Fan & Rajiv Kohli, 2002. "Antecedents of B2C Channel Satisfaction and Preference: Validating e-Commerce Metrics," Information Systems Research, INFORMS, vol. 13(3), pages 316-333, September.
    3. Bierstaker, James & Janvrin, Diane & Lowe, D. Jordan, 2014. "What factors influence auditors' use of computer-assisted audit techniques?," Advances in accounting, Elsevier, vol. 30(1), pages 67-74.
    4. Li-Su Huang & Cheng-Po Lai, 2014. "Knowledge Management Adoption And Diffusion Using Structural Equation Modeling," Global Journal of Business Research, The Institute for Business and Finance Research, vol. 8(1), pages 39-56.
    5. Arun Rai & Sandra S. Lang & Robert B. Welker, 2002. "Assessing the Validity of IS Success Models: An Empirical Test and Theoretical Analysis," Information Systems Research, INFORMS, vol. 13(1), pages 50-69, March.
    6. Viswanath Venkatesh, 2000. "Determinants of Perceived Ease of Use: Integrating Control, Intrinsic Motivation, and Emotion into the Technology Acceptance Model," Information Systems Research, INFORMS, vol. 11(4), pages 342-365, December.
    7. Sora Kang & Kai H. Lim & Min Soo Kim & Hee-Dong Yang, 2012. "Research Note ---A Multilevel Analysis of the Effect of Group Appropriation on Collaborative Technologies Use and Performance," Information Systems Research, INFORMS, vol. 23(1), pages 214-230, March.
    8. Roland Kidwell & Franz Kellermanns & Kimberly Eddleston, 2012. "Harmony, Justice, Confusion, and Conflict in Family Firms: Implications for Ethical Climate and the “Fredo Effect”," Journal of Business Ethics, Springer, vol. 106(4), pages 503-517, April.
    9. repec:dau:papers:123456789/7962 is not listed on IDEAS
    10. Jani Merikivi & Antti Salovaara & Matti Mäntymäki & Lilong Zhang, 2018. "On the way to understanding binge watching behavior: the over-estimated role of involvement," Electronic Markets, Springer;IIM University of St. Gallen, vol. 28(1), pages 111-122, February.
    11. Eddleston, Kimberly A. & Kellermanns, Franz W., 2007. "Destructive and productive family relationships: A stewardship theory perspective," Journal of Business Venturing, Elsevier, vol. 22(4), pages 545-565, July.
    12. Peters, Twan & Işık, Öykü & Tona, Olgerta & Popovič, Aleš, 2016. "How system quality influences mobile BI use: The mediating role of engagement," International Journal of Information Management, Elsevier, vol. 36(5), pages 773-783.
    13. Henri Barki & Ryad Titah & Céline Boffo, 2007. "Information System Use--Related Activity: An Expanded Behavioral Conceptualization of Individual-Level Information System Use," Information Systems Research, INFORMS, vol. 18(2), pages 173-192, June.
    14. Hsiao, Chun Hua & Yang, Chyan, 2011. "The intellectual development of the technology acceptance model: A co-citation analysis," International Journal of Information Management, Elsevier, vol. 31(2), pages 128-136.
    15. Koo, Chulmo & Chung, Namho, 2014. "Examining the eco-technological knowledge of Smart Green IT adoption behavior: A self-determination perspective," Technological Forecasting and Social Change, Elsevier, vol. 88(C), pages 140-155.
    16. Christopher R. Plouffe & John S. Hulland & Mark Vandenbosch, 2001. "Research Report: Richness Versus Parsimony in Modeling Technology Adoption Decisions—Understanding Merchant Adoption of a Smart Card-Based Payment System," Information Systems Research, INFORMS, vol. 12(2), pages 208-222, June.
    17. Sung S. Kim & Naresh K. Malhotra, 2005. "A Longitudinal Model of Continued IS Use: An Integrative View of Four Mechanisms Underlying Postadoption Phenomena," Management Science, INFORMS, vol. 51(5), pages 741-755, May.
    18. Han, Sehee & Min, Jinyoung & Lee, Heeseok, 2015. "Antecedents of social presence and gratification of social connection needs in SNS: A study of Twitter users and their mobile and non-mobile usage," International Journal of Information Management, Elsevier, vol. 35(4), pages 459-471.
    19. Paul A. Pavlou & David Gefen, 2005. "Psychological Contract Violation in Online Marketplaces: Antecedents, Consequences, and Moderating Role," Information Systems Research, INFORMS, vol. 16(4), pages 372-399, December.
    20. Angelika Dimoka & Paul A. Pavlou & Fred D. Davis, 2011. "Research Commentary ---NeuroIS: The Potential of Cognitive Neuroscience for Information Systems Research," Information Systems Research, INFORMS, vol. 22(4), pages 687-702, December.
    21. Kwahk, Kee-Young & Ahn, Hyunchul & Ryu, Young U., 2018. "Understanding mandatory IS use behavior: How outcome expectations affect conative IS use," International Journal of Information Management, Elsevier, vol. 38(1), pages 64-76.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:dar:wpaper:103159. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Dekanatssekretariat (email available below). General contact details of provider: https://edirc.repec.org/data/ivthdde.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.