Litcius/Paper detail

Users taking the blame? How service failure, recovery, and robot design affect user attributions and retention

Nika Mozafari, Melanie Schwede, Maik Hammerschmidt, Welf H. Weiger

2022Electronic Markets39 citationsDOIOpen Access PDF

Abstract

Firms use robots to deliver an ever-expanding range of services. However, as service failures are common, service recovery actions are necessary to prevent user churn. This research further suggests that firms need to know how to design service robots that avoid alienating users in case of service failures. Robust evidence across two experiments demonstrates that users attribute successful service outcomes internally, while robot-induced service failures are blamed on the firm (and not the robot), confirming the well-known self-serving bias. While this external attributional shift occurs regardless of the robot design (i.e., it is the same for warm vs. competent robots), the findings imply that service recovery minimizes the undesirable external shift and that this effect is particularly pronounced for warm robots. For practitioners, this implies prioritizing service robots with a warm design for maximizing user retention for either type of service outcome (i.e., success, failure, and failure with recovery). For theory, this work demonstrates that attribution represents a meaningful mechanism to explain the proposed relationships. Supplementary Information: The online version contains supplementary material available at 10.1007/s12525-022-00613-4.

Topics & Concepts

AttributionBlameRobotService (business)Service designAffect (linguistics)Service robotComputer scienceWork (physics)Service providerBusinessHuman–computer interactionProcess managementEngineeringPsychologyMarketingArtificial intelligenceSocial psychologyCommunicationMechanical engineeringAI in Service InteractionsService and Product InnovationService-Oriented Architecture and Web Services