Unveiling the complexity of consumers’ intention to use service robots: An fsQCA approach
作者：
Highlights：
• This study adopts a holistic and unifying approach to understand service robot adoption.
• We employed a novel analytical method (fSQCA) and complexity theory to unveil the complexity behind the adoption decision.
• The fsQCA results show that none of the factors are necessary conditions for achieving a high level of behavioral intention.
• Four combinations of the human-like, technology-like, and consumer features can lead to a high level of behavioral intention.
• We offer guidance for managers on how to tailor robot characteristics in consideration of consumer personalities.
摘要
•This study adopts a holistic and unifying approach to understand service robot adoption.•We employed a novel analytical method (fSQCA) and complexity theory to unveil the complexity behind the adoption decision.•The fsQCA results show that none of the factors are necessary conditions for achieving a high level of behavioral intention.•Four combinations of the human-like, technology-like, and consumer features can lead to a high level of behavioral intention.•We offer guidance for managers on how to tailor robot characteristics in consideration of consumer personalities.
论文关键词：Service robots,Artificial intelligence,Technology adoption,fsQCA,Complexitity theory
论文评审过程：Received 29 January 2021, Revised 11 April 2021, Accepted 15 May 2021, Available online 17 May 2021, Version of Record 19 May 2021.
论文官网地址：https://doi.org/10.1016/j.chb.2021.106870
