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Users taking the blame? How service failure, recovery, and robot design affect user attributions and retention
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 f...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Berlin Heidelberg
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9849113/ https://www.ncbi.nlm.nih.gov/pubmed/36691423 http://dx.doi.org/10.1007/s12525-022-00613-4 |
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author | Meyer (née Mozafari), Nika Schwede, Melanie Hammerschmidt, Maik Weiger, Welf Hermann |
author_facet | Meyer (née Mozafari), Nika Schwede, Melanie Hammerschmidt, Maik Weiger, Welf Hermann |
author_sort | Meyer (née Mozafari), Nika |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-9849113 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Springer Berlin Heidelberg |
record_format | MEDLINE/PubMed |
spelling | pubmed-98491132023-01-19 Users taking the blame? How service failure, recovery, and robot design affect user attributions and retention Meyer (née Mozafari), Nika Schwede, Melanie Hammerschmidt, Maik Weiger, Welf Hermann Electron Mark Research Paper 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. Springer Berlin Heidelberg 2023-01-19 2022 /pmc/articles/PMC9849113/ /pubmed/36691423 http://dx.doi.org/10.1007/s12525-022-00613-4 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Research Paper Meyer (née Mozafari), Nika Schwede, Melanie Hammerschmidt, Maik Weiger, Welf Hermann Users taking the blame? How service failure, recovery, and robot design affect user attributions and retention |
title | Users taking the blame? How service failure, recovery, and robot design affect user attributions and retention |
title_full | Users taking the blame? How service failure, recovery, and robot design affect user attributions and retention |
title_fullStr | Users taking the blame? How service failure, recovery, and robot design affect user attributions and retention |
title_full_unstemmed | Users taking the blame? How service failure, recovery, and robot design affect user attributions and retention |
title_short | Users taking the blame? How service failure, recovery, and robot design affect user attributions and retention |
title_sort | users taking the blame? how service failure, recovery, and robot design affect user attributions and retention |
topic | Research Paper |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9849113/ https://www.ncbi.nlm.nih.gov/pubmed/36691423 http://dx.doi.org/10.1007/s12525-022-00613-4 |
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