Customer behavior and adoption · Campbell systematic review of experimental and quasi-experimental evaluations of exogenous incentives/interventions affecting firm technology adoption; standardized effects were synthesized across included studies.
Interventions to promote technology adoption in firms: A systematic review
Alfaro-Serrano, D., Balantrapu, T., Chaurey, R., Goicoechea, A., & Verhoogen, E. (2021). Interventions to promote technology adoption in firms: A systematic review. Campbell Systematic Reviews.
Plain-English take
Some interventions produced positive technology-adoption effects, but results varied substantially by context and methodology. Effects on profits, productivity, employment, and farm yields were mixed; the review could not identify one universally superior intervention. For a SaaS founder: Use the review as a reason to run context-specific experiments: compare guided onboarding, training, incentives, peer learning, and support while measuring activated accounts and sustained usage. Do not assume a successful intervention in one customer segment transfers to another.
How much weight to give this
4.0/5 Useful synthesis or empirical evidence with transfer limits
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.
The design type and its limits are described from the directly fetched article.
Reported sample details are included; when the source does not give a count, that is stated.
The experimental, review, observational, or model comparison is identified without converting it into a causal claim.
The full article was directly retrieved.
Double-blind? Blinding is not reported in the source reviewed; that does not establish whether blinding was or was not used.
Research question
What the authors investigated
Which types of intervention have been evaluated to promote technology adoption in firms, and how consistent are their effects?
Design
Campbell systematic review of experimental and quasi-experimental evaluations of exogenous incentives/interventions affecting firm technology adoption; standardized effects were synthesized across included studies.
Sample and setting
Firms in manufacturing, services, and agriculture across varied countries and contexts; the review reports 1,108 regression coefficients from selected studies and separately analyzes sectors. It does not describe one single pooled SaaS sample.
Reported result
What the study found
Some interventions produced positive technology-adoption effects, but results varied substantially by context and methodology. Effects on profits, productivity, employment, and farm yields were mixed; the review could not identify one universally superior intervention.
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
Very broad intervention, sector, outcome, and country heterogeneity limits generalization; the authors call results suggestive rather than definitive, did not conduct heterogeneity analysis, and note reporting gaps (including needing to contact authors for information). This is not SaaS-specific evidence.
Possible founder application
Use the review as a reason to run context-specific experiments: compare guided onboarding, training, incentives, peer learning, and support while measuring activated accounts and sustained usage. Do not assume a successful intervention in one customer segment transfers to another.
Evidence access
Open full text directly retrieved
Direct publisher scrape verified title/record and available text; Firecrawl source ID 01a1228d-b061-74d9-ae40-2a828d88b89b. Correction notices were not separately checked.
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.