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J·BJon BishopIndependent growth marketer

Paid media and measurement · Empirical survey study using structural equation modeling to compare direct and mediated effects.

The Mediation of External Variables in the Technology Acceptance Model

Anthony Burton-Jones, Gordon S. Hubona (2006). The Mediation of External Variables in the Technology Acceptance Model. Information Systems Research. https://doi.org/10.1287/isre.1060.0080.

Information Systems Research · 2006DOI: 10.1287/isre.1060.0080 ↗

Plain-English take

External variables influenced usage largely through perceived usefulness and ease of use, supporting mediation rather than treating external variables as direct usage drivers. For your marketing: Use it to shape a local channel or message test; account for audience, timing and attribution limits before reallocating budget.

How much weight to give this

2.5/5 Evidence needs cautious interpretation

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.

Design · 1/2

Empirical survey study using structural equation modeling to compare direct and mediated effects.

Sample · 0.5/1

Information-system users in an organizational usage context.

Comparison · 0.5/1

Judged from the publisher-described design and comparison; consult the paper for complete analysis.

Can we check it? · 0.5/1

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

How do external variables enter TAM—directly or through usefulness/ease-of-use beliefs?

Design

Empirical survey study using structural equation modeling to compare direct and mediated effects.

Sample and setting

Information-system users in an organizational usage context.

Reported result

What the study found

External variables influenced usage largely through perceived usefulness and ease of use, supporting mediation rather than treating external variables as direct usage drivers.

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

Single survey context and self-reported usage make causal mediation and consumer-SaaS generalization uncertain.

Possible founder application

Use it to shape a local channel or message test; account for audience, timing and attribution limits before reallocating budget.

Evidence access

Publisher record and abstract retrieved; consult the linked paper for full methods and tables.

INFORMS DOI landing page identifies the article and its empirical mediation test. 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.

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