IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v17y2025i7p3214-d1628127.html
   My bibliography  Save this article

Impact of Variables in the UTAUT 2 Model on the Intention to Use a Fully Electric Car

Author

Listed:
  • Murat Selim Selvi

    (Department of Business Administration, Faculty of Economics and Administrative Sciences, Tekirdağ Namik Kemal University, Tekirdağ 59030, Türkiye)

  • Şermin Önem

    (Asyaport Liman Co., Inc., Tekirdağ 59020, Türkiye)

Abstract

This study aims to determine the effects of the variables within the UTAUT 2 model on the intention to use a Fully Electric Car. In this context, data were collected through survey forms from 401 white-collar workers who are considered to have a higher economic status. Initially, validity and reliability analyses were conducted on the scales used in the Smart PLS program, and subsequently, the hypotheses were interpreted using the results obtained from structural equation modeling. In this study, it was found that effort expectancy, social influence, perceived ease of use, hedonic motivation, and habit had a positive and significant impact on the intention to use electric vehicles. Performance expectancy has a negative and significant effect on the intention to use electric cars, while price has no significant effect. It was determined that the intention to use electric vehicles was found to mediate the relationship between perceived ease of use and actual usage behavior. This research can offer significant contributions to literature, particularly by examining the influence of habit on behavioral intention and the effect of hedonic motivation on electric vehicle usage intention. By testing the UTAUT 2 model in the context of electric vehicle acceptance, this study supports the universality and applicability of the model to various technologies. Emphasizing the role of variables such as hedonic motivation and habit in electric vehicle acceptance adds a new dimension to the UTAUT 2 model. Thus, it makes an important contribution to technology acceptance research.

Suggested Citation

  • Murat Selim Selvi & Şermin Önem, 2025. "Impact of Variables in the UTAUT 2 Model on the Intention to Use a Fully Electric Car," Sustainability, MDPI, vol. 17(7), pages 1-24, April.
    • Handle: RePEc:gam:jsusta:v:17:y:2025:i:7:p:3214-:d:1628127
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/17/7/3214/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/17/7/3214/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Jenn, Alan & Lee, Jae Hyun & Hardman, Scott & Tal, Gil, 2020. "An in-depth examination of electric vehicle incentives: Consumer heterogeneity and changing response over time," Transportation Research Part A: Policy and Practice, Elsevier, vol. 132(C), pages 97-109.
    2. Eunil Park & Heetae Kim & Jay Y. Ohm, 2015. "Understanding driver adoption of car navigation systems using the extended technology acceptance model," Behaviour and Information Technology, Taylor & Francis Journals, vol. 34(7), pages 741-751, July.
    3. Shaofeng Wang & Gaojun Shi & Mingjie Lu & Ruyi Lin & Junfeng Yang, 2021. "Determinants of Active Online Learning in the Smart Learning Environment: An Empirical Study with PLS-SEM," Sustainability, MDPI, vol. 13(17), pages 1-19, September.
    4. Shami, Mohammad Reza & Rad, Vahid Bigdeli & Moinifar, Maryam, 2022. "The structural model of indicators for evaluating the quality of urban smart living," Technological Forecasting and Social Change, Elsevier, vol. 176(C).
    5. Indra Gunawan & Anak Agung Ngurah Perwira Redi & Ahmad Arif Santosa & Meilinda Fitriani Nur Maghfiroh & Andante Hadi Pandyaswargo & Adji Candra Kurniawan, 2022. "Determinants of Customer Intentions to Use Electric Vehicle in Indonesia: An Integrated Model Analysis," Sustainability, MDPI, vol. 14(4), pages 1-22, February.
    6. Kieran Mathieson, 1991. "Predicting User Intentions: Comparing the Technology Acceptance Model with the Theory of Planned Behavior," Information Systems Research, INFORMS, vol. 2(3), pages 173-191, September.
    7. Yueling Xu & Wenyu Zhang & Haijun Bao & Shuai Zhang & Ying Xiang, 2019. "A SEM–Neural Network Approach to Predict Customers’ Intention to Purchase Battery Electric Vehicles in China’s Zhejiang Province," Sustainability, MDPI, vol. 11(11), pages 1-19, June.
    8. Ajzen, Icek, 1991. "The theory of planned behavior," Organizational Behavior and Human Decision Processes, Elsevier, vol. 50(2), pages 179-211, December.
    9. Jui-Che Tu & Chun Yang, 2019. "Key Factors Influencing Consumers’ Purchase of Electric Vehicles," Sustainability, MDPI, vol. 11(14), pages 1-22, July.
    10. Viswanath Venkatesh & Fred D. Davis, 2000. "A Theoretical Extension of the Technology Acceptance Model: Four Longitudinal Field Studies," Management Science, INFORMS, vol. 46(2), pages 186-204, February.
    11. Fu, Xuemei, 2024. "Understanding the adoption intention for electric vehicles: The role of hedonic-utilitarian values," Energy, Elsevier, vol. 301(C).
    12. Roberto Ruggieri & Marco Ruggeri & Giuliana Vinci & Stefano Poponi, 2021. "Electric Mobility in a Smart City: European Overview," Energies, MDPI, vol. 14(2), pages 1-29, January.
    13. Kumar, M. Satyendra & Revankar, Shripad T., 2017. "Development scheme and key technology of an electric vehicle: An overview," Renewable and Sustainable Energy Reviews, Elsevier, vol. 70(C), pages 1266-1285.
    14. Escandon-Barbosa, Diana & Salas-Paramo, Jairo & Meneses-Franco, Ana Isabel & Giraldo- Gonzalez, Carlos, 2021. "Adoption of new technologies in developing countries: The case of autonomous car between Vietnam and Colombia," Technology in Society, Elsevier, vol. 66(C).
    15. Patt, Anthony & Aplyn, David & Weyrich, Philippe & van Vliet, Oscar, 2019. "Availability of private charging infrastructure influences readiness to buy electric cars," Transportation Research Part A: Policy and Practice, Elsevier, vol. 125(C), pages 1-7.
    16. Giansoldati, Marco & Danielis, Romeo & Rotaris, Lucia & Scorrano, Mariangela, 2018. "The role of driving range in consumers' purchasing decision for electric cars in Italy," Energy, Elsevier, vol. 165(PA), pages 267-274.
    17. Bulent Demir & Mehmet Alper Akdemir & Arzu Ugurlu Kara & Murat Sagbas & Yasar Sahin & Ethem Topcuoglu, 2025. "The Mediating Role of Green Innovation and Environmental Performance in the Effect of Green Transformational Leadership on Sustainable Competitive Advantage," Sustainability, MDPI, vol. 17(4), pages 1-22, February.
    18. Madhusudhan Adhikari & Laxman Prasad Ghimire & Yeonbae Kim & Prakash Aryal & Sundar Bahadur Khadka, 2020. "Identification and Analysis of Barriers against Electric Vehicle Use," Sustainability, MDPI, vol. 12(12), pages 1-20, June.
    19. Wu, Jih-Hwa & Wu, Chih-Wen & Lee, Chin-Tarn & Lee, Hsiao-Jung, 2015. "Green purchase intentions: An exploratory study of the Taiwanese electric motorcycle market," Journal of Business Research, Elsevier, vol. 68(4), pages 829-833.
    20. Aritra Ghosh, 2020. "Possibilities and Challenges for the Inclusion of the Electric Vehicle (EV) to Reduce the Carbon Footprint in the Transport Sector: A Review," Energies, MDPI, vol. 13(10), pages 1-22, May.
    21. Ibrahim Mutambik, 2024. "Culturally Informed Technology: Assessing Its Importance in the Transition to Smart Sustainable Cities," Sustainability, MDPI, vol. 16(10), pages 1-20, May.
    22. Liao, Chechen & Palvia, Prashant & Lin, Hong-Nan, 2006. "The roles of habit and web site quality in e-commerce," International Journal of Information Management, Elsevier, vol. 26(6), pages 469-483.
    23. Zulfiqar Ali Lashari & Joonho Ko & Junseok Jang, 2021. "Consumers’ Intention to Purchase Electric Vehicles: Influences of User Attitude and Perception," Sustainability, MDPI, vol. 13(12), pages 1-14, June.
    24. Poullikkas, Andreas, 2015. "Sustainable options for electric vehicle technologies," Renewable and Sustainable Energy Reviews, Elsevier, vol. 41(C), pages 1277-1287.
    25. Mahmoudzadeh Andwari, Amin & Pesiridis, Apostolos & Rajoo, Srithar & Martinez-Botas, Ricardo & Esfahanian, Vahid, 2017. "A review of Battery Electric Vehicle technology and readiness levels," Renewable and Sustainable Energy Reviews, Elsevier, vol. 78(C), pages 414-430.
    26. Ingrid Moons & Patrick De Pelsmacker, 2015. "An Extended Decomposed Theory of Planned Behaviour to Predict the Usage Intention of the Electric Car: A Multi-Group Comparison," Sustainability, MDPI, vol. 7(5), pages 1-34, May.
    27. Sanjay Dhingra & Shelly Gupta, 2020. "Behavioural Intention to Use Mobile Banking: An Extension of UTAUT2 Model," International Journal of Mobile Human Computer Interaction (IJMHCI), IGI Global, vol. 12(3), pages 1-20, July.
    28. Schuitema, Geertje & Anable, Jillian & Skippon, Stephen & Kinnear, Neale, 2013. "The role of instrumental, hedonic and symbolic attributes in the intention to adopt electric vehicles," Transportation Research Part A: Policy and Practice, Elsevier, vol. 48(C), pages 39-49.
    29. Ethem Topcuoglu & Onur Oktaysoy & Erdogan Kaygin & Gozde Kosa & Selen Uygungil-Erdogan & Mehmet Selman Kobanoglu & Burcu Turan-Torun, 2024. "The Potential of the Society 5.0 Strategy to Be a Solution to the Political and Structural Problems of Countries: The Case of Türkiye," Sustainability, MDPI, vol. 16(22), pages 1-14, November.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Gulnaz Ivanova & António Carrizo Moreira, 2023. "Antecedents of Electric Vehicle Purchase Intention from the Consumer’s Perspective: A Systematic Literature Review," Sustainability, MDPI, vol. 15(4), pages 1-27, February.
    2. Bireswar Dutta & Hsin-Ginn Hwang, 2021. "Consumers Purchase Intentions of Green Electric Vehicles: The Influence of Consumers Technological and Environmental Considerations," Sustainability, MDPI, vol. 13(21), pages 1-23, October.
    3. Sudarsan Jayasingh & T. Girija & Sivakumar Arunkumar, 2021. "Factors Influencing Consumers’ Purchase Intention towards Electric Two-Wheelers," Sustainability, MDPI, vol. 13(22), pages 1-20, November.
    4. Huang, Tony Cheng-Kui & Liu, Chuang-Chun & Chang, Dong-Cheng, 2012. "An empirical investigation of factors influencing the adoption of data mining tools," International Journal of Information Management, Elsevier, vol. 32(3), pages 257-270.
    5. Yu Wang & Shanyong Wang & Jing Wang & Jiuchang Wei & Chenglin Wang, 2020. "An empirical study of consumers’ intention to use ride-sharing services: using an extended technology acceptance model," Transportation, Springer, vol. 47(1), pages 397-415, February.
    6. Garima Malik & A. Sajeevan Rao, 2019. "Extended expectation-confirmation model to predict continued usage of ODR/ride hailing apps: role of perceived value and self-efficacy," Information Technology & Tourism, Springer, vol. 21(4), pages 461-482, December.
    7. Tuğba Yeğin & Muhammad Ikram, 2022. "Analysis of Consumers’ Electric Vehicle Purchase Intentions: An Expansion of the Theory of Planned Behavior," Sustainability, MDPI, vol. 14(19), pages 1-27, September.
    8. Riffat Ara Zannat Tama & Md Mahmudul Hoque & Ying Liu & Mohammad Jahangir Alam & Mark Yu, 2023. "An Application of Partial Least Squares Structural Equation Modeling (PLS-SEM) to Examining Farmers’ Behavioral Attitude and Intention towards Conservation Agriculture in Bangladesh," Agriculture, MDPI, vol. 13(2), pages 1-22, February.
    9. Muhammad Ali & Syed Ali Raza & Chin-Hong Puah & Mohd Zaini Abd Karim, 2017. "Islamic home financing in Pakistan: a SEM-based approach using modified TPB model," Housing Studies, Taylor & Francis Journals, vol. 32(8), pages 1156-1177, November.
    10. Rahman Ummeh Habiba Faria Benteh & Zafar Muhammad Khubaib, 2020. "Factors Influencing Uber Adoption In Bangladesh And Pakistan," Open Economics, De Gruyter, vol. 3(1), pages 86-97, January.
    11. Attié, Elodie & Meyer-Waarden, Lars, 2022. "The acceptance and usage of smart connected objects according to adoption stages: an enhanced technology acceptance model integrating the diffusion of innovation, uses and gratification and privacy ca," Technological Forecasting and Social Change, Elsevier, vol. 176(C).
    12. Viswanath Venkatesh, 2000. "Determinants of Perceived Ease of Use: Integrating Control, Intrinsic Motivation, and Emotion into the Technology Acceptance Model," Information Systems Research, INFORMS, vol. 11(4), pages 342-365, December.
    13. Gao, Tao (Tony) & Rohm, Andrew J. & Sultan, Fareena & Pagani, Margherita, 2013. "Consumers un-tethered: A three-market empirical study of consumers' mobile marketing acceptance," Journal of Business Research, Elsevier, vol. 66(12), pages 2536-2544.
    14. Jan Silberer & Stefanie Astfalk & Patrick Planing & Patrick Müller, 2023. "User needs over time: the market and technology maturity model (MTMM)," Journal of Innovation and Entrepreneurship, Springer, vol. 12(1), pages 1-12, December.
    15. El Barachi, May & Salim, Taghreed Abu & Nyadzayo, Munyaradzi W. & Mathew, Sujith & Badewi, Amgad & Amankwah-Amoah, Joseph, 2022. "The relationship between citizen readiness and the intention to continuously use smart city services: Mediating effects of satisfaction and discomfort," Technology in Society, Elsevier, vol. 71(C).
    16. Goel, Pooja & Kumar, Aalok & Parayitam, Satyanarayana & Luthra, Sunil, 2023. "Understanding transport users' preferences for adopting electric vehicle based mobility for sustainable city: A moderated moderated-mediation model," Journal of Transport Geography, Elsevier, vol. 106(C).
    17. Banu Demirel & Ayça Kübra Hızarcı Payne, 2018. "Social Innovation Adoption Behavior: The Case of Zumbara," International Journal of Innovation and Technology Management (IJITM), World Scientific Publishing Co. Pte. Ltd., vol. 15(02), pages 1-19, April.
    18. Kamrath, Carolin & Rajendran, Srinivasulu & Nenguwo, Ngoni & Afari-Sefa, Victor & Broring, Stefanie, 2018. "Adoption behavior of market traders: an analysis based on Technology Acceptance Model and Theory of Planned Behavior," International Food and Agribusiness Management Review, International Food and Agribusiness Management Association, vol. 21(6), July.
    19. Taneja, Shilpa & Ali, Liaqat, 2021. "Determinants of customers’ intentions towards environmentally sustainable banking: Testing the structural model," Journal of Retailing and Consumer Services, Elsevier, vol. 59(C).
    20. Lombardi, Alessia & Carfora, Valentina & Cicia, Gianni & Del Giudice, Teresa & Lombardi, Pasquale & Panico, Teresa, 2017. "Exploring Willingness to Pay for QR Code Labeled Extra-Virgin Olive Oil: An Application of the Theory of Planned Behavior," International Journal on Food System Dynamics, International Center for Management, Communication, and Research, vol. 8(01), pages 1-18, January.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jsusta:v:17:y:2025:i:7:p:3214-:d:1628127. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.