Customer behavior and adoption · Empirical survey comparison of TAM, TPB and decomposed TPB models.
Understanding Information Technology Usage: A Test of Competing Models
Shirley Taylor, Peter A. Todd (1995). Understanding Information Technology Usage: A Test of Competing Models. Information Systems Research. https://doi.org/10.1287/isre.6.2.144.
Plain-English take
The decomposed TPB model provided useful explanatory power for intention and usage; perceived usefulness and social/behavioral determinants were important. For your marketing: Use it as a behavioral mechanism or experiment-design reference, not a direct forecast for a SaaS funnel.
How much weight to give this
3/5 Moderate evidence for a specific setting
The 1–5 evidence-check score is a practical reading aid, not a formal peer review or a probability that a conclusion is true. It combines design strength (2 points), sample reporting (1), comparison/control clarity (1), and how much of the paper could be checked (1). Access affects how confidently this directory can assess a study, not the study's underlying quality. Blinding is reported separately because it is not relevant to every design.
Empirical survey comparison of TAM, TPB and decomposed TPB models.
University students using a computer resource centre.
Judged from the publisher-described design and comparison; consult the paper for complete analysis.
Publisher page and abstract were retrieved directly; full text was not assumed open.
Double-blind? Blinding was not established from the retrieved publisher record.
Research question
What the authors investigated
Which competing behavioral models best explain IT usage?
Design
Empirical survey comparison of TAM, TPB and decomposed TPB models.
Sample and setting
University students using a computer resource centre.
Reported result
What the study found
The decomposed TPB model provided useful explanatory power for intention and usage; perceived usefulness and social/behavioral determinants were important.
This is a paraphrase of the source. Check the original paper for definitions, estimates, statistical uncertainty and analysis details.
Scope and transfer
Limitations to keep in view
Student/computer-resource context, cross-sectional survey and self-reported outcomes limit SaaS-funnel generalization.
Possible founder application
Use it as a behavioral mechanism or experiment-design reference, not a direct forecast for a SaaS funnel.
Evidence access
Publisher record and abstract retrieved; consult the linked paper for full methods and tables.
INFORMS page identifies publication and DOI; the paper tests competing acceptance models empirically. Direct publisher-page retrieval was recorded on 2026-10-09; this profile uses publisher metadata/abstract and does not claim independent review of unavailable full text.
If only an abstract or metadata was available, the profile is limited to claims supported there. A paper's paywall does not change its evidentiary status, but it limits what we can substantiate from accessible text.