The effect of information overload on the intention of consumers to adopt electric vehicles

Peng Cheng, Zhe Ouyang and Yang Liu ()
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Peng Cheng: Nanjing University of Finance and Economics
Zhe Ouyang: Nanjing University of Finance and Economics
Yang Liu: University of Science and Technology of China

Transportation, 2020, vol. 47, issue 5, No 1, 2067-2086

Abstract: Abstract To encourage the pro-electric vehicle (EV) behavioral intentions of consumers, EV manufacturers should make a significant commitment to EV-related information and devise strategic planning on how to release that information. However, information overload theory suggests that abundant information may result in information overload problem beyond a threshold, thereby decreasing final behavioral intentions. The analysis uses a questionnaire survey involving 619 respondents to investigate relationships among EV-related information characteristics, information overload, and pro-EV behavioral intentions of consumers. Results show that the quantity and quality of EV-related information can affect the information overload of consumers. By contrast, the perceived information overload of consumers can exert a negative impact on their pro-EV behavioral intentions. In addition, consumers with different levels of EV product knowledge and information processing capabilities may encounter diverse degrees of perceived information overload.

Keywords: Electric vehicles; Behavioral intentions; Information overload; Product knowledge; Systematic processing (search for similar items in EconPapers)
Date: 2020
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Citations: View citations in EconPapers (5)

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DOI: 10.1007/s11116-019-10001-1

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