Customer behavior and adoption · Scenario-based experiments manipulating service failure and recovery characteristics; post-encounter evaluations were measured.
An Experimental Investigation of Customer Reactions to Service Failure and Recovery Encounters: Paradox or Peril?
Amy K. Smith, Ruth N. Bolton (1998). An Experimental Investigation of Customer Reactions to Service Failure and Recovery Encounters: Paradox or Peril?. Journal of Service Research. https://doi.org/10.1177/109467059800100106.
Plain-English take
The experiments show that failure/recovery outcomes depend on failure and recovery attributes and customer responses; recovery can improve evaluations, but superior recovery does not uniformly erase the damage of failure. 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
3.5/5 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.
Scenario-based experiments manipulating service failure and recovery characteristics; post-encounter evaluations were measured.
Consumers responding to hypothetical service-failure/recovery encounters in two experiments.
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
How do customers react to service failure and recovery encounters, and when does recovery repair evaluations?
Design
Scenario-based experiments manipulating service failure and recovery characteristics; post-encounter evaluations were measured.
Sample and setting
Consumers responding to hypothetical service-failure/recovery encounters in two experiments.
Reported result
What the study found
The experiments show that failure/recovery outcomes depend on failure and recovery attributes and customer responses; recovery can improve evaluations, but superior recovery does not uniformly erase the damage of failure.
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
Scenario experiments provide internal tests of reactions but do not observe actual churn, usage, or real support interactions; external validity to SaaS is therefore untested.
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.
SAGE search result describes two experiments and explicitly frames the article as an experimental investigation of failure and recovery encounters. 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.