How does experience impact the adoption willingness of battery electric vehicles? The role of psychological factors

Liu, Rong; Ding, Zhihua; Jiang, Xin; Sun, Jing; Jiang, Yanling; Wei, Qiang

doi:10.1007/s11356-020-08834-w

Cited by 59 publications

(38 citation statements)

References 86 publications

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“…The role of customer experience was explored and it was demonstrated how this experience affects the adoption willingness of battery electric vehicles. The mean values of the subjective norm, perceived behavioural control, attitudes, and adoption willingness of experienced consumers are significantly higher than those of inexperienced consumers [5].…”

Section: Introductionmentioning

confidence: 73%

New goods demand patterns in digital economy environment: The case of electric vehicles in Russia

Bozhuk

Krasnostavskaia

2022

SHS Web Conf.

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The trend of using electric vehicles is changing the automotive industry. Electric cars are becoming the most environmentally friendly replacement for combustion vehicles. Knowing the preferences of potential consumers will allow developing effective solutions to create demand for this product. Generating demand should be based on estimating its potential and shaping the consumer profile of this type of transport for market of each country. New goods need special methods to generate demand, since their potential buyers have difficulties in purchase decision making. This paper presents results of a study on prospects in Russia for such new goods as electric vehicles. The study identified factors that ultimately determine the interest of those Russian consumers who have the financial ability to purchase electric vehicles in the near future in electric vehicles. The study demonstrates that consumer prejudices are still there against difficulties in operating electric vehicles. The study confirmed that a number of factors affect the purchase of an electric car in Russia. Expanding the presence of electric vehicles in carsharing companies will significantly improve experience in using this type of transport by potential users. Generating the demand for electric vehicles by applying influence marketing tools is the one of the best solutions.

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Section: Introductionmentioning

confidence: 73%

New goods demand patterns in digital economy environment: The case of electric vehicles in Russia

Bozhuk

Krasnostavskaia

2022

SHS Web Conf.

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“…Today, drones have not been constantly used in mountain rescue missions, thus, many mountain rescuers are unfamiliar with the technology and have limited knowledge about what efforts and performance to expect. This uncertainty may negatively affect the intention to adopt (Liu et al, 2020;Rogers, 2010). On the other hand, we assume that mountain rescuers with drone experience have a higher BI and suggest:…”

Section: Experiencementioning

confidence: 99%

Drones to the rescue? Exploring rescue workers' behavioral intention to adopt drones in mountain rescue missions

Holzmann

Wankmüller

Globocnik

et al. 2021

IJPDLM

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PurposeMountaineering and related activities are increasingly becoming popular and are accompanied by an increase in medical incidents. Emergency operations in mountainous terrain are time-critical and often pose major logistical challenges for rescuers. Drones are expected to improve the operational performance of mountain rescuers. However, they are not yet widely used in mountain rescue missions. This paper examines the determinants that drive the behavioral intention of mountain rescuers to adopt drones in rescue missions.Design/methodology/approachThis is a behavioral study that builds upon an extended model of the unified theory of acceptance and use of technology (UTAUT) and investigates the relationship between individual attitudes, perceptions, and intentions for drone adoption. Original survey data of 146 mountain rescuers were analyzed using moderated ordinary least squares (OLS) regression analysis.FindingsResults indicate that the behavioral intention to use drones in mountain rescue missions is driven by the expected performance gains and facilitating conditions. Favorable supporting conditions and experience with drones further moderate the relationship between performance expectancy and behavioral intention. The effects for effort expectancy, social influence, and demonstrations were not significant.Practical implicationsRescue organizations and stakeholders are recommended to consider the identified determinants in the implementation of drones in emergency logistics. Drone manufacturers targeting mountain rescue organizations are advised to focus on operational performance, provide sufficient support and training, and promote the gathering of practical experience.Originality/valueA tailored-model that provides first empirical results on the relevance of personal and environmental factors for the acceptance of drones in emergency logistics is presented.

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“…Up to now, many studies have explored the possible drivers or barriers that influence consumers' choice of BEVs [54]. Liu et al [55] found that the customer experience is the main decisive factor in buying BEVs. Kim et al [56] concluded that customers with good driving experiences and knowledge are more likely to buy BEVs in Korea.…”

Section: E Factors Influencing Consumers' Choice Of Bevsmentioning

confidence: 99%

A Study on Selection Strategies for Battery Electric Vehicles Based on Sentiments, Analysis, and the MCDM Model

Ren

Sun

Yuan

2021

Mathematical Problems in Engineering

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Under the goal of carbon peak and carbon neutrality, developing battery electric vehicles (BEVs) is an important way to reduce carbon emissions in the transportation sector. To popularize BEVs as soon as possible, it is necessary to study selection strategies for BEVs from the perspective of consumers. Therefore, the Latent Dirichlet Allocation (LDA) model based on fine-grained sentiment analysis is combined with the multi-criteria decision-making (MCDM) model to assess ten types of BEV alternatives. Fine-grained sentiment analysis is applied to find the vehicle attributes that consumers care about the most based on the word-of-mouth data. The LDA model is suggested to divide topics and construct the indicator system. The MCDM model is used to rank vehicles and put forward the corresponding optimization path to increase consumer purchases of BEVs in China. The results show that (a) via the LDA model based on fine-grained sentiment analysis, attributes that consumers care most about are divided into five topics: dynamics, technology, safety, comfort, and cost; (b) based on the DEMATEL technique, the dimensions in the order of importance are as follows: safety, technology, dynamics, comfort, and cost; (c) the price is the most important criteria that affect customers’ satisfaction by the DANP model; and (d) based on the VIKOR model, the selection strategies present that Aion S is highlighted as the best choice, and the optimization path is discussed to promote the performance of BEVs to increase customers’ satisfaction. The findings can provide a reference for improving the sustainable development of the automobile industry in China. The proposed framework serves as the basis for further discussion of BEVs.

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How does experience impact the adoption willingness of battery electric vehicles? The role of psychological factors

Cited by 59 publications

References 86 publications

New goods demand patterns in digital economy environment: The case of electric vehicles in Russia

New goods demand patterns in digital economy environment: The case of electric vehicles in Russia

Drones to the rescue? Exploring rescue workers' behavioral intention to adopt drones in mountain rescue missions

A Study on Selection Strategies for Battery Electric Vehicles Based on Sentiments, Analysis, and the MCDM Model

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