The effect of information overload on the intention of consumers to adopt electric vehicles
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The effect of information overload on the intention of consumers to adopt electric vehicles Peng Cheng1 · Zhe Ouyang2 · Yang Liu3
© Springer Science+Business Media, LLC, part of Springer Nature 2019
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
Introduction Electric vehicles (EVs) are automobiles with motive power that exclusively originates from rechargeable onboard electrical battery packs (Egbue and Long 2012; Sovacool and Hirsh 2009; Wang et al. 2017). EVs have evolved in several dimensions since 2007 according to different equipment technologies, such as plug-in hybrid electric vehicles (PHEVs), battery electric vehicles (BEVs), hybrid electric vehicles (HEVs), and extended-range battery electric vehicles (E-REVs). In the current study, we view EVs as rechargeable vehicles with batteries that can be charged through an electric outlet; this definition excludes HEVs * Yang Liu [email protected] 1
Department of Marketing & Logistics Management, Nanjing University of Finance and Economics, Nanjing, China
2
Department of Business Administration, Nanjing University of Finance and Economics, Nanjing, China
3
University of Science and Technology of China, Hefei, Anhui, China
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Transportation
because they are primarily fuel-efficient vehicles that do not require enormous behavior change among consumers (Chen et al. 2009). According to theory of planned behavior (TPB) (Ajzen 1991), the actual purchase behavior of consumers is determined by their behavioral intention. Thus, understanding the factors drive the pro-EV behavioral intentions to purchase of consumers is of great strategic importance to EV-firm managers and government policymakers. Unlike traditional gasoline and diesel vehicles, EVs possess apparent advantages in reducing carbon dioxide emissions and increasing fuel efficiency (Lieven et al. 2011). Prior research indicated that EVs can decrease carbon dioxide emiss
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