TY - JOUR
T1 - The influence of knowledge management on adoption intention of electric vehicles: perspective on technological knowledge
AU - Huang , Xingjun
AU - Lin, Yun
AU - Lim, Ming
AU - Tseng, Ming-Lang
AU - Zhou, Fuli
N1 - Copyright © and Moral Rights are retained by the author(s) and/ or other copyright owners. A copy can be downloaded for personal non-commercial research or study, without prior permission or charge. This item cannot be reproduced or quoted extensively from without first obtaining permission in writing from the copyright holder(s). The content must not be changed in any way or sold commercially in any format or medium without the formal permission of the copyright holders.
PY - 2021/7/5
Y1 - 2021/7/5
N2 - Purpose: Technological innovation is one of the remarkable characteristics of electric vehicles (EVs). This study aims to analyze how consumers' technological knowledge affects their intention to adopt EVs. Design/methodology/approach: Original data were collected via a survey of 443 participants in China. An extended technology acceptance model was constructed to identify the factors influencing consumers' intention to adopt EVs and related technological knowledge pathways. Findings: The results show that consumer technological knowledge is positively and significantly related to EVs' perceived usefulness, perceived ease of use, perceived fun to use and consumers' intention to adopt EVs. In addition, no direct and significant relationship is found between perceived fun to use and willingness to adopt EVs, from the technical knowledge dimension. Practical implications: Imparting consumers with EV technological knowledge and usefulness may be an effective way to enhance their awareness and willingness to use EVs. Moreover, the role of females in the decision to adopt EVs should not be ignored, especially in decisions to purchase a family car. Originality/value: Prior studies lack a technological knowledge-based view, and few studies have discussed how to explore the effects of consumer technological knowledge about EVs on their adoption intention. This study fills the research gap.
AB - Purpose: Technological innovation is one of the remarkable characteristics of electric vehicles (EVs). This study aims to analyze how consumers' technological knowledge affects their intention to adopt EVs. Design/methodology/approach: Original data were collected via a survey of 443 participants in China. An extended technology acceptance model was constructed to identify the factors influencing consumers' intention to adopt EVs and related technological knowledge pathways. Findings: The results show that consumer technological knowledge is positively and significantly related to EVs' perceived usefulness, perceived ease of use, perceived fun to use and consumers' intention to adopt EVs. In addition, no direct and significant relationship is found between perceived fun to use and willingness to adopt EVs, from the technical knowledge dimension. Practical implications: Imparting consumers with EV technological knowledge and usefulness may be an effective way to enhance their awareness and willingness to use EVs. Moreover, the role of females in the decision to adopt EVs should not be ignored, especially in decisions to purchase a family car. Originality/value: Prior studies lack a technological knowledge-based view, and few studies have discussed how to explore the effects of consumer technological knowledge about EVs on their adoption intention. This study fills the research gap.
KW - Consumer technological knowledge
KW - Intention to adopt EVs
KW - Mediating effects
KW - Perceived fun to use
KW - Technology acceptance model
UR - http://www.scopus.com/inward/record.url?scp=85106331367&partnerID=8YFLogxK
U2 - 10.1108/IMDS-07-2020-0411
DO - 10.1108/IMDS-07-2020-0411
M3 - Article
SN - 0263-5577
VL - 121
SP - 1481
EP - 1495
JO - Industrial Management and Data Systems
JF - Industrial Management and Data Systems
IS - 7
ER -