Consumers’ attitudes and their effects on electric vehicle sales and charging infrastructure construction: An empirical study in China

Wang, Yuanyuan; Chi, Yuanying; Xu, Jin-Hua; Yuan, Yongke

doi:10.1016/j.enpol.2022.112983

Cited by 44 publications

(9 citation statements)

References 25 publications

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“…While improving the overall layout of the industrial chain, project operation, and other work eciencies, it also realizes the adjustment of the entire industry trend. Coupled with the development of advanced computer technologies such as AI, the Internet of ings (IoT), and big data, it can also have di erent application e ects in the infrastructure construction of the park [10][11][12].…”

Section: Introductionmentioning

confidence: 99%

PPP Financing Model in the Infrastructure Construction of the Park Integrating Artificial Intelligence Technology

Wang

Cui

2022

Computational Intelligence and Neuroscience

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The objective is to study the application of the Public-Private-Partnership (PPP) financing model in the infrastructure construction of the park. By analyzing the operation model of the PPP financing model, combined with the Artificial Intelligence (AI) technology, the theory mechanism that digital infrastructure construction and Internet use affect the quality of employment is proposed. Based on the selection theory of the PPP model for infrastructure construction projects in industrial parks, the application of the PPP financing model in infrastructure construction of industrial parks is discussed in specific cases. According to the actual situation of the case, the combination of the PPP financing model and government direct investment is proposed, and the predicted income results are given. The results manifest that the total score of the qualitative analysis of the value for money (VFM) of the project of the proposed financing model reaches 85.36 points, greater than 60 points. It indicates that the project has passed the qualitative analysis of VFM, and the profit of the project meets expectations. Among them, the after-tax (AT) internal rate of return of project investment reached 4.3%, and the financial internal rate of return of capital amount reached 4.23% AT, exceeding expectations. It illustrates that the designed PPP financing model meets the requirements. In the infrastructure construction of the park, the combination of digital technology and the PPP financing model can provide a more reasonable financing plan, which is feasible for the infrastructure construction of the park.

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Section: Introductionmentioning

confidence: 99%

PPP Financing Model in the Infrastructure Construction of the Park Integrating Artificial Intelligence Technology

Wang

Cui

2022

Computational Intelligence and Neuroscience

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“…First, this paper proposes a strategic path to achieve a competitive position that allows GTTT products to subvert dominant products in the market from a consumer lifestyle perspective. This is a significant departure from existing studies, which emphasize social psychological variables such as attitudes [75][76][77], normative [78,79], and perceived behavioral control [80] on new product purchase intention. Furthermore, consumer lifestyle and interpersonal influence studies based on sociological perspectives have not been fully applied in the field of new green products [20].…”

Section: Theoretical Implicationsmentioning

confidence: 72%

The Market Disruption Path of Green-Oriented Trajectory-Transformed Technology Innovation: A Study of Consumer Lifestyles during the “Chasm” in China’s Electric Vehicle Market

Xiao

Zhang

2022

Sustainability

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Green-oriented trajectory-transformed technology (GTTT) innovation is a strategic path that leads simultaneously to a comprehensive green transformation of national economic and social development and a disruption of corporate competition. However, this type of innovation is nonmarket-oriented and naturally results in a deeper and wider “chasm” more than any market-oriented innovation between the early market and the mass market, which is difficult to bridge; this leads to theoretical and practical difficulties with respect to the formulation of market strategies. To bridge such a “chasm”, this paper explores the paths that facilitate a market launch strategy that is capable of bridging the market “chasm”. The paper identifies electric vehicles as an example of a GTTT product, based on the hierarchical characteristic model, investigates the impact of lifestyle on consumers’ purchase intention, examines the mediating effect of interpersonal influence susceptibilities, uses data collected via consumer questionnaires to test the research model, and thereby identifies the various consumer groups that are present during the “chasm” period and the characteristics they exhibit. The results show that fashion consciousness, leadership consciousness, environmental consciousness, and informational interpersonal influence are the market strategy paths that lead to market disruption, and fashion leaders and price-conscious environmentalists are the key consumer groups during the “chasm” period.

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“…Then, they further analyzed the specific emotional tendencies of these five topics in conjunction with sentiment analysis. Wang et al (2022) conducted an empirical study based on a review of charging infrastructure using a potential Dirichlet allocation topic model and a panel vector autoregressive model. They suggested that the critical reasons for negative consumer attitudes toward charging infrastructure are the inconvenience of charging, charging dilemmas, and the inability to install private charging posts.…”

Section: Literature Reviewmentioning

confidence: 99%

A study on the influence of online reviews of new products on consumers’ purchase decisions: An empirical study on JD.com

et al. 2022

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With the prevalence of the Internet and new media channels, consumer reviews have become one of the main determinants of Consumers’ purchasing decisions. This paper uses the Latent Dirichlet Allocation (LDA) model to identify the key factors that are of major concern to consumers, including design factors, laptop setup factors, logistics factors, after-sales factors, and user experience factors. And, we classify these factors into product quality factors and supporting service factors for new products. We then explore the relationship between online reviews and purchase decisions under these different factors, and also further explore the impact of interactions between online review metrics on purchase decisions. Our findings suggest that the impact of online reviews on consumer purchase decisions also varies considerably across different consumer focus factors. In addition, we find that the impact of the interaction between online review features is complex. In particular, consumers do not follow the positive guidance and make purchase decisions as we would expect when confronted with a large number of positive emotional polarity online reviews. Meanwhile, the interaction between negative emotional polarity and variance of online reviews had no significant effect on consumer purchase decisions. The variance of online reviews has a limited role in reducing consumer risk perceptions triggered by negative emotional polarity. Our study provides new evidence for the study of the impact of online reviews through text mining.

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Consumers’ attitudes and their effects on electric vehicle sales and charging infrastructure construction: An empirical study in China

Cited by 44 publications

References 25 publications

PPP Financing Model in the Infrastructure Construction of the Park Integrating Artificial Intelligence Technology

PPP Financing Model in the Infrastructure Construction of the Park Integrating Artificial Intelligence Technology

The Market Disruption Path of Green-Oriented Trajectory-Transformed Technology Innovation: A Study of Consumer Lifestyles during the “Chasm” in China’s Electric Vehicle Market

A study on the influence of online reviews of new products on consumers’ purchase decisions: An empirical study on JD.com

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