Interactional service failures in a pseudorelationship: The role of organizational attributions
By R. Hess, Shankar Ganesan, Noreen M. Klein. 2007
126 citations recorded by the source corpus.
Subfields: Organizational Behavior and Human Resource Management, Social Psychology, Sociology and Political Science
View Paper: https://www.semanticscholar.org/paper/666cb4efb8b6855a57ba85eda5ce2064fb958995
How researchers see this paper
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In Organizational Behavior and Human Resource Management
- Luis Vicente Casaló
- Jeroen J. L. Schepers
- Daniel Belanche
- Carlos Flavián
- Robert W. Palmatier
- Mark Houston
- L. Harris
- Colleen M. Harmeling
In Social Psychology
- L. Harris
- Colleen M. Harmeling
- Mark J. Arnold
- Robert W. Palmatier
- Daniel Belanche
- Luis Vicente Casaló
- Jeroen J. L. Schepers
- Hongwei He
In Sociology and Political Science
- Luis Vicente Casaló
- Carlos Flavián
- Daniel Belanche
- Robert W. Palmatier
- L. Harris
- Colleen M. Harmeling
- Mark Houston
- Mark J. Arnold
Citations in the corpus
- Transformational Relationship Events (2015, background): “As a control, we also included the typicality of the event, or the customer’s belief that this event was a common occurrence in the industry, because it can affect customer responses to service encounters (Hess, Ganesan, and Klein 2007).”
- Moral disengagement of hotel guest negative WOM: moral identity centrality, moral awareness, and anger. (2014, background): “Prior research on this area main focuses on the cognitive processes, such as attribution (Hess et al., 2007), perceived justice (Grégoire & Fisher, 2008), and consumer power (Grégoire et al., 2010).”
- Robots or frontline employees? Exploring customers’ attributions of responsibility and stability after service failure or success (2020, background): “Customers can distinguish between employee and firm when attributing credit and blame for service actions (Hess et al., 2007), but to what extent do customers hold a frontline robot accountable for its performance? This article aims to better understand attributions that customers make following a s”