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      Examination of the adoption intention of new energy vehicles from the perspective of functional attributes and media richness

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          Abstract

          Drawing on the theory of media richness, this paper aims to explore the impact of media richness on consumers' adoption intention through their perception of new energy vehicle (NEV) function attributes, and assess the moderation roles of brand familiarity and locus of control. A structural equation model is applied to analyze the data collected from 427 respondents. Empirical results demonstrate that consumers' perception of an electric attribute (i.e., charging efficiency) and two intelligent attributes (i.e., car networking and self-driving) are determinants of their adoption intention of NEVs. The other electric attribute (range) is trivial in consumers' perception. We also find that low, medium, and high-richness media significantly affect consumers' perception of NEVs' functional attributes. Compared to the high-richness, medium-richness correlates significantly with two types of NEV functional attributes. Regarding moderating effects, consumer familiarity with NEV's brand negatively impacts the relationship between media richness and adoption intention. Furthermore, low and medium-richness media effectively stimulate individuals with external control to adopt NEV, while high-richness media adversely influence individuals with internal control.

          Highlights

          • Examining new energy vehicle (NEV) functional attribute-media matching on consumer behavior using media richness theory.

          • Exploring the impact of media richness on consumers' adoption intention through their perception of two types of NEVs' functional and intelligent attributes.

          • Analyzing the moderating effects of brand familiarity and locus of control.

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          Most cited references60

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          Addressing Moderated Mediation Hypotheses: Theory, Methods, and Prescriptions.

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            Using PLS path modeling in new technology research: updated guidelines

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              Organizational Information Requirements, Media Richness and Structural Design

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                Author and article information

                Contributors
                Journal
                Heliyon
                Heliyon
                Heliyon
                Elsevier
                2405-8440
                10 February 2024
                29 February 2024
                10 February 2024
                : 10
                : 4
                : e25897
                Affiliations
                [a ]School of Economics and Management, Beijing Polytechnic, Beijing, 100176, China
                [b ]School of Management, Wuhan University of Science and Technology, Wuhan, 430081, China
                [c ]Peter B. Gustavson School of Business, University of Victoria, Victoria BC, Canada
                [d ]Research Center of Supply Chain System, Wuhan Textile University, Wuhan, 43007, China
                Author notes
                []Corresponding author. jizili-nc@ 123456foxmail.com
                Article
                S2405-8440(24)01928-5 e25897
                10.1016/j.heliyon.2024.e25897
                10884411
                a5231334-cb48-455a-947a-d9360bae2363
                © 2024 The Authors

                This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).

                History
                : 4 January 2023
                : 24 January 2024
                : 5 February 2024
                Categories
                Research Article

                media richness theory,new energy vehicles,consumers' perception,adoption intention

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