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Unpacking the effects of information overload on the purchase intention of electric vehicles
Authors:Xianfeng Hu  Shanyong Wang  Rongting Zhou  Yun Tong  Ling Xu
Institution:1. School of Management, University of Science and Technology of China, Hefei, Anhui Province, People's Republic of China;2. School of Journalism and Communication, Anhui University, Hefei, Anhui Province, People's Republic of China;3. Shanghai Ocean University, Shanghai, People's Republic of China
Abstract:China is currently under tremendous pressures to improve energy efficiency and reduce emissions. As an energy-saving transportation innovation, electric vehicles (EVs) can alleviate this dilemma. This study adopts the Stimuli-Organism-Response (SOR) framework to explore the effect of information overload on consumers' psychological state and subsequent adoption intentions of EVs. Based on the 367 valid samples from Auto 4S shops in EV pilot cities in Mainland China, this study reveals that information overload negatively impacts perceived value and perceived effectiveness but positively impacts perceived risk. Furthermore, information quality offsets the negative impact of information overload on perceived value and enhances the positive impact of information overload on perceived risk. Interestingly, information quality not significantly affect the relationship between information overload and perceived effectiveness. In addition, perceived value and perceived effectiveness are positively related to purchase intentions, while perceived risk is negatively correlated with consumers' purchase intentions. On the basis of these findings, we discuss the policy implications of EVs and provide suggestions for future development.
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