Cloud computing · Longitudinal observational study using data from a SaaS vendor and a linear mixed model to analyze measures intended to improve continued usage over time.
Usage Continuance in Software-as-a-Service
Information Systems Frontiers · 2022
Summary
Several proactive activation measures positively affect usage penetration, while software and client characteristics do not display significant estimates; the authors emphasize proactive activation initiatives to raise usage penetration.
For your marketing
Possible founder application
Use it as a product, platform or behavior mechanism reference rather than a direct forecast for a SaaS funnel.
Reported result
What the study found
Several proactive activation measures positively affect usage penetration, while software and client characteristics do not display significant estimates; the authors emphasize proactive activation initiatives to raise usage penetration.
Research question
What the authors investigated
Which vendor activation measures and software/client characteristics increase continued usage (usage penetration) of SaaS applications after initial adoption?
Design
Longitudinal observational study using data from a SaaS vendor and a linear mixed model to analyze measures intended to improve continued usage over time.
Sample and setting
A SaaS vendor's application usage over time, including vendor activation measures and software/client characteristics; the publisher abstract does not report the number of customers or observations.
Scope and transfer
Limitations to keep in view
Not stated in the publisher abstract.
Research sources
Springer's abstract says the study is longitudinal, uses data from a SaaS vendor and a linear mixed model, and finds that proactive activation initiatives raise usage penetration. Direct publisher-page retrieval was recorded on 2026-10-09; profile summarizes the accessible record and does not claim independent review of inaccessible full text.