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

  • Peng Cheng
  • Zhe Ouyang
  • Yang LiuEmail author
Article
  • 110 Downloads

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 

Notes

Acknowledgements

This research was funded by the Humanity and Social Science Youth foundation of Ministry of Education of China (#18YJC630106), China Postdoctoral Science Foundation Funded Project (#2018M642546), National Natural Science Foundation of China grants (#71702180, #71801210).

Compliance with ethical standards

Conflict of interest

On behalf of all authors, the corresponding author states that there is no conflict of interest.

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© Springer Science+Business Media, LLC, part of Springer Nature 2019

Authors and Affiliations

  1. 1.Department of Marketing & Logistics ManagementNanjing University of Finance and EconomicsNanjingChina
  2. 2.Department of Business AdministrationNanjing University of Finance and EconomicsNanjingChina
  3. 3.University of Science and Technology of ChinaHefeiChina

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