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Usage Continuance in Software-as-a-Service

Author

Listed:
  • Elias Baumann

    (Humboldt-University of Berlin)

  • Jana Kern

    (Humboldt-University of Berlin)

  • Stefan Lessmann

    (Humboldt-University of Berlin)

Abstract

Software-as-a-service applications are experiencing immense growth as their comparatively low cost makes them an important alternative to traditional software. Following the initial adoption phase, vendors are now concerned with the continued usage of their software. To analyze the influence of different measures to improve continued usage over time, a longitudinal study approach using data from a SaaS vendor was implemented. Employing a linear mixed model, the study finds several measures to have a positive effect on a software’s usage penetration. In addition to these activation measures performed by the SaaS vendor, software as well as client characteristics were also examined, but did not display significant estimates. The findings emphasize the need for proactive activation initiatives to raise usage penetration. More generally, the study contributes novel insights into the scarcely researched field of influencing factors on SaaS usage continuance.

Suggested Citation

  • Elias Baumann & Jana Kern & Stefan Lessmann, 2022. "Usage Continuance in Software-as-a-Service," Information Systems Frontiers, Springer, vol. 24(1), pages 149-176, February.
    • Handle: RePEc:spr:infosf:v:24:y:2022:i:1:d:10.1007_s10796-020-10065-w
    DOI: 10.1007/s10796-020-10065-w
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    References listed on IDEAS

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    1. Benlian, Alexander & Koufaris, M. & Hess, Thomas, 2010. "The Role of SaaS Service Quality for Continued SaaS Use: Empirical Insights from SaaS Using Firms," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 58036, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).
    2. Jacqmin-Gadda, Helene & Sibillot, Solenne & Proust, Cecile & Molina, Jean-Michel & Thiebaut, Rodolphe, 2007. "Robustness of the linear mixed model to misspecified error distribution," Computational Statistics & Data Analysis, Elsevier, vol. 51(10), pages 5142-5154, June.
    3. Benlian, Alexander & Koufaris, M. & Hess, Thomas, 2011. "Service quality in Software-As-A-Service: Developing the SaaS-QUAL measure and examining its role in usage continuance," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 58027, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).
    4. Bates, Douglas & Mächler, Martin & Bolker, Ben & Walker, Steve, 2015. "Fitting Linear Mixed-Effects Models Using lme4," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 67(i01).
    5. K. Coussement & D. Van Den Poel, 2006. "Churn Prediction in Subscription Services: an Application of Support Vector Machines While Comparing Two Parameter-Selection Techniques," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 06/412, Ghent University, Faculty of Economics and Business Administration.
    6. Ratten, Vanessa, 2016. "Continuance use intention of cloud computing: Innovativeness and creativity perspectives," Journal of Business Research, Elsevier, vol. 69(5), pages 1737-1740.
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