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

doi:10.1108/IMDS-07-2020-0411

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 journal › Article › peer-review

13 Citations (Scopus)

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Abstract

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 language	English
Pages (from-to)	1481-1495
Number of pages	15
Journal	Industrial Management and Data Systems
Volume	121
Issue number	7
Early online date	30 Apr 2021
DOIs	https://doi.org/10.1108/IMDS-07-2020-0411
Publication status	Published - 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.

Funder

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).

Keywords

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

Access to Document

10.1108/IMDS-07-2020-0411

Post-PrintAccepted author manuscript, 1.1 MBLicence: CC BY-NC
Table III. Statistics of the measurement modelLicence: Unspecified
Table IV. Fornell-Larcker HTMT results and correlation matrixLicence: Unspecified
Table V. Results of the structural modelLicence: Unspecified
Table VI. Results of multigroup comparions of all pathsLicence: Unspecified
Table VII. Results of the bootstrapping testLicence: Unspecified

Cite this

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abstract = "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.",

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

Abstract

Bibliographical note

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Keywords

ASJC Scopus subject areas

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