Exploring User Acceptance of EV Charging Stations: The Mediating Role of Perceived Value In Chengdu, China

Siwei Huang; Tanawat Teepapal

Authors

Siwei Huang Rajamangala University of Technology Krungthep, Bangkok
Tanawat Teepapal Rajamangala University of Technology Krungthep, Bangkok

Keywords:

electric vehicle (EV) charging stations, perceived usefulness, perceived ease of use, EV knowledge, perceived value, and the Technology Acceptance Model (TAM)

Abstract

This study examines the factors influencing individuals' intentions to use electric vehicle (EV) chargers, focusing on perceived value, utility, ease of use, and familiarity with electric vehicles. Grounded in the Technology Acceptance Model (TAM), the research incorporates perceived value as a mediating variable to explore the relationships between these factors and their impact on user behavior. Data were collected from 454 respondents in Chengdu, China, through online and offline surveys. The findings reveal that perceived value mediates the relationship between EV knowledge and the intention to use public charging stations, as well as between perceived utility, perceived ease of use, and perceived usefulness. The results underscore the importance of service quality, reliability, and accessibility in shaping users' attitudes and intentions. These insights provide valuable guidance for stakeholders in the EV industry to enhance charging infrastructure and promote sustainable mobility solutions.

References

Adepetu, A., Keshav, S., & Arya, V. (2016). An agent-based electric vehicle ecosystem model: San Francisco case study. Transport Policy, 46, 109-122.

Agarwal, R., & Karahanna, E. (2000). Time flies when you're having fun: Cognitive absorption and beliefs about information technology usage. MIS quarterly, 665-694.

Ajzen, I. (1991). The theory of planned behavior. Organizational Behavior and Human Decision Processes, 50(2), 179-211.

Ajzen, I. (2011). The theory of planned behavior: Reactions and reflections. Psychology & Health, 26 (9), 1113-1127.

Appolloni, A., Sun, H., Jia, F., & Li, X. (2014). Green Procurement in the private sector: a state of the art review between 1996 and 2013. Journal of Cleaner Production, 85, 122-133.

Araújo, T. & Casais, B. (2020). Customer Acceptance of Shopping-Assistant Chatbots. Marketing and Smart Technologies, 278-287.

Bailey, J., & Axsen, J. (2015). Anticipating PEV buyers’ acceptance of utility controlled charging. Transportation Research Part A: Policy and Practice, 82, 29-46.

Baldassare, M., & Sarmiento, S. (2004). The changing landscape of electric vehicle adoption. Transport Policy, 11(4), 289-299.

Bandura, A. (1982). Self-efficacy mechanism in human agency. American Psychologist, 37 (2), 122-147.

Boonchunone, S., Nami, M., Krommuang, A., Phonsena, A., & Suwunnamek, O. (2023). Exploring the effects of perceived values on consumer usage intention for electric vehicle in China: the mediating effect of satisfaction. Acta Logistica, 10(2), 151-164.

Bruner, G.C. & Kumar, A. (2005). Explaining consumer acceptance of handheld Internet devices. Journal of Business Research, 58 (5), 553-558.

Tu, J.-C., & Yang, C. (2019). Key Factors Influencing Consumers’ Purchase of Electric Vehicles. Sustainability, 11(14), 3863. https://doi.org/10.3390/su11143863

Dash, G., Kiefer, K., & Paul, J. (2021). Marketing-to-Millennials: Marketing 4.0, customer satisfaction and purchase intention. Journal of business research, 122, 608-620.

Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS quarterly, 319-340.

Davis, F.D. (1993). User acceptance of information technology: system characteristics, user perceptions and behavioral impacts. International Journal of Man-Machine Studies, 38 (3), 475-487.

Davis, F.D., Bagozzi, R.P. & Warshaw, P.R. (1992). Extrinsic and Intrinsic Motivation to Use Computers in the Workplace1. Journal of Applied Social Psychology, 22 (14), 1111-1132.

Deumlich, T., Amberger, M., & Tafreschi, O. (2022, May). Empirical analysis of technology acceptance of private electric vehicle charging infrastructure in Germany. In International Conference on Advanced Information Systems Engineering (pp. 61-72). Cham: Springer International Publishing.

Egbue, O., & Long, S. (2012). Barriers to widespread adoption of electric vehicles: An analysis of consumer attitudes and perceptions. Energy policy, 48, 717-729.

Gadenne, D., Sharma, B., Kerr, D., & Smith, T. (2011). The influence of consumers' environmental beliefs and attitudes on energy saving behaviours. Energy policy, 39(12), 7684-7694.

Gefen, D., Karahanna, E., & Straub, D. W. (2003). Trust and TAM in online shopping: An integrated model. MIS quarterly, 51-90.

Ghazal, M., Akmal, M., Iyanna, S., & Ghoudi, K. (2016). Smart plugs: perceived usefulness and satisfaction: evidence from United Arab Emirates. Renewable and Sustainable Energy Reviews, 55, 1248-1259.

Haozhen, L., Vito Jr, M., & Bautista, M. (2024). Users Satisfaction in the Use of Electronic Vehicle Charging Stations. International Multidisciplinary Journal of Research for Innovation, Sustainability, and Excellence (IMJRISE), 1(7), 198-210.

He, S. Y., Sun, K. K., & Luo, S. (2022). Factors affecting electric vehicle adoption intention. Journal of Transport and land use, 15(1), 779-801.

Helveston, J. P., Liu, Y., Feit, E. M., Fuchs, E., Klampfl, E., & Michalek, J. J. (2015). Will subsidies drive electric vehicle adoption? Measuring consumer preferences in the US and China. Transportation Research Part A: Policy and Practice, 73, 96-112.

Hong, W., & Tam, K. Y. (2006). Understanding continued information technology usage behavior: A comparison of three models. Industrial Management & Data Systems, 106(3), 332-348.

Hwang, Y. (2005). Investigating enterprise systems adoption: uncertainty avoidance, intrinsic motivation, and the technology acceptance model. European Journal of Information Systems, 14 (2), 150-161.

IEA. (2020, June 15). Global electric car stock, 2010-2019, IEA, Paris. https://www.iea.org/data-and-statistics/charts/global-electric-car-stock-2010-2019.

Igbaria, M., et al. (1997). The effects of self-efficacy on the acceptance of information technology. Journal of Management, 23(6), 733-749.

Wu, J. H., & Wang, S. C. (2005). What drives mobile commerce?: An empirical evaluation of the revised technology acceptance model. Information & management, 42(5), 719-729.

Kalsi, P. S., & Singh, I. (2019). Structural equation modeling (SEM) approach to examine the linear influence inter-linkages of consumers’ green cognition, green purchase attitude & green purchase intention on consumers’ green purchase behaviour in urban Punjab. Int J Manag Stud VI, 1(3), 13-30.

Khechine, H., et al. (2016). Influence of social factors on the intention to use online technologies. International Journal of Information Management, 36(5), 679-690.

Kim, Y. K., & Sullivan, P. (2019). Emotional branding speaks to consumers’ heart: the case of fashion brands. Fashion and textiles, 6(1), 1-16.

Klein, M., et al. (2018). Educating consumers about electric vehicles: An effective approach to improving awareness and acceptance. Transportation Research Part A: Policy and Practice, 113, 235-248.

Kusumawati, A., & Sri Rahayu, K. (2020). The effect of experience quality on customer perceived value and customer satisfaction and its impact on customer loyalty. Human Systems Management, 39(2), 219-232.

Li, J., Sun, X., Liu, Q., Zheng, W., Liu, H., & Stankovic, J. A. (2018). Planning electric vehicle charging stations based on user charging behavior. IEEE/ACM Third International Conference on Internet-of-Things Design and Implementation (IoTDI), 30, 225-236.

Li, W., Long, R., Chen, H., & Geng, J. (2017). A review of factors influencing consumer intentions to adopt battery electric vehicles. Renewable and Sustainable Energy Reviews, 78, 318-328.

Li, Y., & Shang, H. (2020). Service quality, perceived value, and citizens’ continuous-use intention regarding e-government: Empirical evidence from China. Information & Management, 57(3), 103197.

Likert, R. (1932). A Technique fort he Measurement of Attitudes. Archives of psychology, 22, 5-52.

Ling Keong, M., Ramayah, T., Kurnia, S. & May Chiun, L. (2012). Explaining intention to use an enterprise resource planning (ERP) system: an extension of the UTAUT model. Business Strategy Series, 13 (4), 173-180.

Coffman, M., Bernstein, P., & Wee, S. (2017). Electric vehicles revisited: a review of factors that affect adoption. Transport Reviews, 37(1), 79-93.

Malhotra, N., & Krosnick, J. A. (2007). The effect of survey mode and sampling on inferences about political attitudes and behavior: Comparing the 2000 and 2004 ANES to Internet surveys with nonprobability samples. Political Analysis, 15(3), 286-323.

Meyer, S. (2024). Gas vs. hybrid vs. electric cars: A complete guide. The Zebra. https://www.thezebra.com/resources/driving/gas-car-vs-hybrid-car-vs-electric-car/

Nunnally, J. C. (1978). An overview of psychological measurement. Clinical diagnosis of mental disorders: A handbook, 97-146.

Orozco, F. J., et al. (2020). Perceived value and its influence on consumers' adoption of sustainable technology. Sustainability, 12(5), 1896.

Pannerselvam, R. (2012). Design and analysis of experiments. PHI Learning Pvt. Ltd..

Rezvani, Z., Jansson, J., & Bodin, J. (2015). Advances in consumer electric vehicle adoption research: A review and research agenda. Transportation research part D: transport and environment, 34, 122-136.

S Wang, J Wang, J Li, J Wang, L Liang. (2018). Policy implications for promoting the adoption of electric vehicles Do consumer’s knowledge, perceived risk and financial incentive policy matter. Transportation Research Part A: Policy and Practice, 2018•Elsevier.

Sweeney, J. C., & Soutar, G. N. (2001). Consumer perceived value: The development of a multiple item scale. Journal of Retailing, 77(2), 203-220.

Thong, J.Y.L., Venkatesh, V., Xu, X., Hong, S. & Tam, K.Y. (2011). Consumer Acceptance of Personal Information and Communication Technology Services. IEEE Transactions on Engineering Management, 58 (4), 613-625.

Ueno, S., & Sekaran, U. (1992). The influence of culture on budget control practices in the USA and Japan: An empirical study. Journal of International Business Studies, 23, 659-674.

Venkatesh, Morris, Davis, & Davis (2003). User Acceptance of Information Technology: Toward a Unified View. MIS Quarterly, 27 (3), 425.

Venkatesh, Thong, & Xu (2012). Consumer Acceptance and Use of Information Technology: Extending the Unified Theory of Acceptance and Use of Technology. MIS Quarterly, 36 (1), 157.

Venkatesh, V., & Davis, F. D. (2000). A theoretical extension of the technology acceptance model: Four longitudinal field studies. Management science, 2000•pubsonline.informs.org.

Verhoef, P.C., Broekhuizen, T., Bart, Y., Bhattacharya, A., Qi Dong, J., Fabian, N. & Haenlein, M. (2021). Digital transformation: A multidisciplinary reflection and research agenda. Journal of Business Research, 122, 889-901.

Wei, W., Cao, M., Jiang, Q., Ou, S. J., & Zou, H. (2020). What influences Chinese consumers’ adoption of battery electric vehicles? A preliminary study based on factor analysis. Energies, 13(5), 1057.

Will, C., & Schuller, A. (2016). Understanding user acceptance factors of electric vehicle smart charging. Transportation Research Part C: Emerging Technologies, 71, 198-214.

Wolbertus R (2024) Identifying factors that influence electric vehicle charging station performance in expanding networks. PLoS ONE 19(4): e0302132. https://doi.org/10.1371/journal.pone.0302132

Wu, J., Liao, H., Wang, J. W., & Chen, T. (2019). The role of environmental concern in the public acceptance of autonomous electric vehicles: A survey from China. Transportation Research Part F: Traffic Psychology and Behaviour, 60, 37-46.

Yu, H., Siegel, J. Z., Clithero, J. A., & Crockett, M. J. (2021). How peer influence shapes value computation in moral decision-making. Cognition, 211, 104641.

Zeithaml, V. A. (1988). Consumer perceptions of price, quality, and value: A means-end model and synthesis of evidence. Journal of Marketing, 52(3), 2-22.

Zhong, Z., Zhang, Q., Xia, H., Wang, A., Liang, W., Zhou, W., ... & Ye, Q. (2020). Clinical characteristics and immunosuppressant management of coronavirus disease 2019 in solid organ transplant recipients. American Journal of Transplantation, 20(7), 1916-1921.

Zikmund, W. G., Babin, B. J., Carr, J. C., & Griffin, M. (2003). Research methods. Health economics research method, 2(3), 56-79.

Exploring User Acceptance of EV Charging Stations: The Mediating Role of Perceived Value In Chengdu, China

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