TY - JOUR
T1 - Can (A)I Give You a Ride? Development and Validation of the CRUISE Framework for Autonomous Vehicle Services
AU - Osburg, Victoria Sophie
AU - Yoganathan, Vignesh
AU - Kunz, Werner H.
AU - Tarba, Shlomo
N1 - Publisher Copyright:
© The Author(s) 2022.
PY - 2022/11/1
Y1 - 2022/11/1
N2 - Advances in artificial intelligence (AI) are increasingly enabling firms to develop services that utilize autonomous vehicles (AVs). Yet, there are significant psychological barriers to adoption, and insights from extant literature are insufficient to understand customer emotions regarding AV services. To allow for a holistic exploration of customer perspectives, we synthesize multidisciplinary literature to develop the Customer Responses to Unmanned Intelligent-transport Services based on Emotions (CRUISE) framework, which lays the foundation for improved strategizing, targeting, and positioning of AV services. We subsequently provide empirical support for several propositions underpinning the CRUISE framework using representative multinational panel data (N = 27,565) and an implicit association test (N = 300). We discover four distinct customer segments based on their preferred degree of service autonomy and service risk. The segments also differ in terms of the valence and intensity of emotional responses to fully autonomous vehicle services. Additionally, exposure to positive information about AV services negatively correlates with the likelihood of membership in the two most resistant segments. Our contribution to service research is chiefly twofold; we provide: 1) a formal treatise of AV services, emphasizing their uniqueness and breadth of application, and 2) empirically validated managerial directions for effective strategizing based on the CRUISE framework.
AB - Advances in artificial intelligence (AI) are increasingly enabling firms to develop services that utilize autonomous vehicles (AVs). Yet, there are significant psychological barriers to adoption, and insights from extant literature are insufficient to understand customer emotions regarding AV services. To allow for a holistic exploration of customer perspectives, we synthesize multidisciplinary literature to develop the Customer Responses to Unmanned Intelligent-transport Services based on Emotions (CRUISE) framework, which lays the foundation for improved strategizing, targeting, and positioning of AV services. We subsequently provide empirical support for several propositions underpinning the CRUISE framework using representative multinational panel data (N = 27,565) and an implicit association test (N = 300). We discover four distinct customer segments based on their preferred degree of service autonomy and service risk. The segments also differ in terms of the valence and intensity of emotional responses to fully autonomous vehicle services. Additionally, exposure to positive information about AV services negatively correlates with the likelihood of membership in the two most resistant segments. Our contribution to service research is chiefly twofold; we provide: 1) a formal treatise of AV services, emphasizing their uniqueness and breadth of application, and 2) empirically validated managerial directions for effective strategizing based on the CRUISE framework.
KW - artificial intelligence
KW - driverless car
KW - emotions
KW - segmentation
KW - service automation
UR - http://www.scopus.com/inward/record.url?scp=85135852687&partnerID=8YFLogxK
UR - https://journals.sagepub.com/doi/10.1177/10946705221118233
U2 - 10.1177/10946705221118233
DO - 10.1177/10946705221118233
M3 - Article
AN - SCOPUS:85135852687
SN - 1094-6705
VL - 25
SP - 630
EP - 648
JO - Journal of Service Research
JF - Journal of Service Research
IS - 4
ER -