The influence of knowledge management on adoption intention of electric vehicles: perspective on technological knowledge

Xingjun Huang , Yun Lin, Ming Lim, Ming-Lang Tseng, Fuli Zhou

    Research output: Contribution to journalArticlepeer-review

    13 Citations (Scopus)
    67 Downloads (Pure)


    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.

    Original languageEnglish
    Pages (from-to)1481-1495
    Number of pages15
    JournalIndustrial Management and Data Systems
    Issue number7
    Early online date30 Apr 2021
    Publication statusPublished - 5 Jul 2021

    Bibliographical note

    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.


    This study is supported by the Chinese National Funding of Social Science (Grant No. 18BJY066), Chongqing Science and Technology Commission (Grant No. cstc2018jszx-cyzd0711) and the Fundamental Research Funds for the Central Universities (Grant No. 2019CDCGGK318).


    • Consumer technological knowledge
    • Intention to adopt EVs
    • Mediating effects
    • Perceived fun to use
    • Technology acceptance model

    ASJC Scopus subject areas

    • Management Information Systems
    • Industrial relations
    • Computer Science Applications
    • Strategy and Management
    • Industrial and Manufacturing Engineering


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