TY - JOUR
T1 - When service process contradicts service outcome: spillover effect of users’ perceptions in the case of robotaxi service encounters
AU - Huang, Youlin
AU - Qian, Lixian
AU - Song, Jinzhu
PY - 2026/3
Y1 - 2026/3
N2 - The service literature has overlooked situations in which a failed (successful) service process leads to a successful (failed) outcome. To fill this gap, we develop and test a typology of service success and failure to account for contradictory processes and outcomes in robotaxi service encounters. Three studies show that the negative spillover effect of blaming automated driving technology is more prominent in success–failure (successful process but failed outcome) service encounters and that firms’ engagement reinforces the spillover onto the technology in failure–failure encounters. However, in failure–success encounters, perceived competence of robotaxis is more likely to promote perceived competence of service firms. We enrich the service failure and artificial intelligence literature by showing that service processes and outcomes jointly affect the attribution process. We highlight the need for service firms to intervene in automated services after careful consideration, and for user expectation management and adaptive service processes.
AB - The service literature has overlooked situations in which a failed (successful) service process leads to a successful (failed) outcome. To fill this gap, we develop and test a typology of service success and failure to account for contradictory processes and outcomes in robotaxi service encounters. Three studies show that the negative spillover effect of blaming automated driving technology is more prominent in success–failure (successful process but failed outcome) service encounters and that firms’ engagement reinforces the spillover onto the technology in failure–failure encounters. However, in failure–success encounters, perceived competence of robotaxis is more likely to promote perceived competence of service firms. We enrich the service failure and artificial intelligence literature by showing that service processes and outcomes jointly affect the attribution process. We highlight the need for service firms to intervene in automated services after careful consideration, and for user expectation management and adaptive service processes.
U2 - 10.1016/j.jbusres.2025.115954
DO - 10.1016/j.jbusres.2025.115954
M3 - Article
SN - 0148-2963
VL - 206
JO - Journal of Business Research
JF - Journal of Business Research
M1 - 115954
ER -