The Impact of Service Failure Controllability and Relationship Strength on Post-Complaint Consumer Behavior - An Empirical Analysis

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dc.contributor.authorvon Aswege, Frederike
dc.contributor.authorKemper, Jan
dc.contributor.authorBrettel, Malte
dc.date.accessioned2017-12-28T00:49:58Z
dc.date.available2017-12-28T00:49:58Z
dc.date.issued2018-01-03
dc.description.abstractThe purpose of this research is to explore the impact of service failure controllability on consumer purchase behavior and to clarify the moderating role of relationship strength. Our conceptual model posits that high levels of firm controllability are associated with negative customer reactions. In addition, we examine two opposing hypotheses discussed in literature: the "love becomes hate" and the "love is blind" effect. We base our analysis on an extensive data set provided by a leading European online retailer that includes more than 14,000 complaints and 165,000 orders. Our research emphasizes the relevance of attribution theory in the context of actual consumer behavior and confirms that high levels of firm controllability are associated with negative consumer reactions. The empirical results further show that a strong customer-organization relationship mitigates the negative effects of service failures independently of the level of firm controllability. Therefore, the "love is blind" effect is strongly supported.
dc.format.extent10 pages
dc.identifier.doi10.24251/HICSS.2018.189
dc.identifier.isbn978-0-9981331-1-9
dc.identifier.urihttp://hdl.handle.net/10125/50076
dc.language.isoeng
dc.relation.ispartofProceedings of the 51st Hawaii International Conference on System Sciences
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 International
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subjectService Analytics
dc.subjectAttribution theory, Complaint behavior, Controllability, Relationship strength, Service failure
dc.titleThe Impact of Service Failure Controllability and Relationship Strength on Post-Complaint Consumer Behavior - An Empirical Analysis
dc.typeConference Paper
dc.type.dcmiText

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