Service robot anthropomorphism on consumer usage intention: curvilinear and linear effect
Industrial Management & Data Systems
ISSN: 0263-5577
Article publication date: 5 December 2023
Issue publication date: 30 January 2024
Abstract
Purpose
This research proposes and examines a theoretical model grounded in anthropomorphism theory considering the curvilinear and linear relationships between service robot anthropomorphism and consumer usage intention and explores the mediating effect of perceived risk.
Design/methodology/approach
To examine the developed model, two complementary studies are designed. In Study 1, multi-time data of 511 participants show that service robot anthropomorphism inverts U-shaped (curvilinear) relationship on consumer usage intention and perceived risk mediates this curvilinear relationship. In Study 2, multi-source data of 460 volunteers are used to confirm the findings of Study 1 and examine that consumer empathy moderates the complex nonlinear effect of service robot anthropomorphism on perceived risk, and the indirect curvilinear effect of service robot anthropomorphism on consumer usage intention through perceived risk.
Findings
This research provides preliminary and yet important findings on how service robot anthropomorphism most likely is positively associated with consumer usage intention, i.e. the positively influence mechanism of service robot anthropomorphism on consumer usage intention.
Originality/value
This research provides preliminary and yet important findings on how service robot anthropomorphism most likely is positively associated with consumer usage intention, i.e. the positively influence mechanism of service robot anthropomorphism on consumer usage intention.
Keywords
Citation
Yang, M., Li, J., Feng, L., Chen, S.-C. and Tseng, M.-L. (2024), "Service robot anthropomorphism on consumer usage intention: curvilinear and linear effect", Industrial Management & Data Systems, Vol. 124 No. 2, pp. 612-639. https://doi.org/10.1108/IMDS-08-2023-0538
Publisher
:Emerald Publishing Limited
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