IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v16y2024i19p8467-d1488517.html
   My bibliography  Save this article

Modelling Behavioural Factors Affecting Consumers’ Intention to Adopt Electric Aircraft: A Multi-Method Investigation

Author

Listed:
  • Mahmut Bakır

    (School of Civil Aviation, Samsun University, Samsun 55420, Turkey)

  • Nadine Itani

    (Centre for Aviation Research, University of Surrey, Guildford GU2 7XH, UK)

Abstract

Electric aircraft are seen as a key option for reducing the environmental footprint of the aviation industry. This research aims to identify the factors that influence Turkish air travellers’ intentions to adopt electric aircraft by building upon the theory of planned behaviour (TPB). A structured online survey was developed to gather cross-sectional data from 217 air travellers using convenience sampling. The data were analysed through a multi-method approach, including structural equation modelling (SEM) for sufficiency analysis and necessary condition analysis (NCA) for necessity analysis. The findings reveal that attitudes, subjective norms, perceived behavioural control, personal moral norms, and green trust positively correlate with the intention to adopt electric aircraft, whereas perceived risk has a negative correlation. Moreover, the NCA indicates that attitudes, subjective norms, perceived behavioural control, personal moral norms, environmental knowledge, and green trust are necessary conditions for the intention to adopt electric aircraft, reinforcing these results. This study is the first empirical attempt to investigate the formation of the intention to adopt electric aircraft, built on both sufficiency and necessity logics.

Suggested Citation

  • Mahmut Bakır & Nadine Itani, 2024. "Modelling Behavioural Factors Affecting Consumers’ Intention to Adopt Electric Aircraft: A Multi-Method Investigation," Sustainability, MDPI, vol. 16(19), pages 1-29, September.
    • Handle: RePEc:gam:jsusta:v:16:y:2024:i:19:p:8467-:d:1488517
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/16/19/8467/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/16/19/8467/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Armstrong, J. Scott & Overton, Terry S., 1977. "Estimating Nonresponse Bias in Mail Surveys," MPRA Paper 81694, University Library of Munich, Germany.
    2. Zhang, Anming & Hanaoka, Shinya & Inamura, Hajime & Ishikura, Tomoki, 2008. "Low-cost carriers in Asia: Deregulation, regional liberalization and secondary airports," Research in Transportation Economics, Elsevier, vol. 24(1), pages 36-50.
    3. Jian Wang & Fakhar Shahzad & Zeeshan Ahmad & Muhammad Abdullah & Nadir Munir Hassan, 2022. "Trust and Consumers’ Purchase Intention in a Social Commerce Platform: A Meta-Analytic Approach," SAGE Open, , vol. 12(2), pages 21582440221, April.
    4. Shanyong Wang & Jin Fan & Dingtao Zhao & Shu Yang & Yuanguang Fu, 2016. "Predicting consumers’ intention to adopt hybrid electric vehicles: using an extended version of the theory of planned behavior model," Transportation, Springer, vol. 43(1), pages 123-143, January.
    5. Shanyong Wang & Jin Fan & Dingtao Zhao & Shu Yang & Yuanguang Fu, 2016. "Predicting consumers’ intention to adopt hybrid electric vehicles: using an extended version of the theory of planned behavior model," Transportation, Springer, vol. 43(1), pages 123-143, January.
    6. Reece A. Clothier & Dominique A. Greer & Duncan G. Greer & Amisha M. Mehta, 2015. "Risk Perception and the Public Acceptance of Drones," Risk Analysis, John Wiley & Sons, vol. 35(6), pages 1167-1183, June.
    7. Davison, Lisa & Littleford, Clare & Ryley, Tim, 2014. "Air travel attitudes and behaviours: The development of environment-based segments," Journal of Air Transport Management, Elsevier, vol. 36(C), pages 13-22.
    8. Xiaojian Hu & Nan Wu & Nuo Chen, 2021. "Young People’s Behavioral Intentions towards Low-Carbon Travel: Extending the Theory of Planned Behavior," IJERPH, MDPI, vol. 18(5), pages 1-15, February.
    9. Megawati Simanjuntak & Nidya Luthfi Nafila & Lilik Noor Yuliati & Irni Rahmayani Johan & Mukhamad Najib & Mohamad Fazli Sabri, 2023. "Environmental Care Attitudes and Intention to Purchase Green Products: Impact of Environmental Knowledge, Word of Mouth, and Green Marketing," Sustainability, MDPI, vol. 15(6), pages 1-16, March.
    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. Alsulami, Abdulkarim & Fairbrass, Jenny & Botelho, Tiago & Assadinia, Shahin, 2024. "Renewable energy and innovation in Saudi Arabia: An exploration of factors affecting consumers' intention to adopt Solar PV," Technological Forecasting and Social Change, Elsevier, vol. 204(C).
    2. Dhirendra Kumar Tiwari & Urvashi Tandon & Amit Mittal, 2024. "Analysing adoption of eVehicles among Indian consumers: a novel approach towards sustainable transport," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 26(9), pages 22997-23023, September.
    3. Kumar Shalender & Naman Sharma, 2021. "Using extended theory of planned behaviour (TPB) to predict adoption intention of electric vehicles in India," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 23(1), pages 665-681, January.
    4. Gao, Lan & Wang, Shanyong & Li, Jun & Li, Haidong, 2017. "Application of the extended theory of planned behavior to understand individual’s energy saving behavior in workplaces," Resources, Conservation & Recycling, Elsevier, vol. 127(C), pages 107-113.
    5. Zhengwei Xia & Dongming Wu & Langlang Zhang, 2022. "Economic, Functional, and Social Factors Influencing Electric Vehicles’ Adoption: An Empirical Study Based on the Diffusion of Innovation Theory," Sustainability, MDPI, vol. 14(10), pages 1-22, May.
    6. Shanyong Wang & Jing Wang & Feng Yang & Yu Wang & Jun Li, 2018. "Consumer familiarity, ambiguity tolerance, and purchase behavior toward remanufactured products: The implications for remanufacturers," Business Strategy and the Environment, Wiley Blackwell, vol. 27(8), pages 1741-1750, December.
    7. Xingjun Ru & Min Chen & Shanyong Wang & Zhenling Chen, 2022. "Does environmental concern fail to predict energy-saving behavior? A study on the office energy-saving behavior of employees of Chinese Internet companies," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 24(11), pages 12691-12711, November.
    8. Zhihui Wang & Liangzhen Nie & Eila Jeronen & Lihua Xu & Meiai Chen, 2023. "Understanding the Environmentally Sustainable Behavior of Chinese University Students as Tourists: An Integrative Framework," IJERPH, MDPI, vol. 20(4), pages 1-17, February.
    9. Chun-Hsi Vivian Chen & Yu-Cheng Chen, 2021. "Assessment of Enhancing Employee Engagement in Energy-Saving Behavior at Workplace: An Empirical Study," Sustainability, MDPI, vol. 13(5), pages 1-18, February.
    10. Sara Sousa & Elisabete Correia & Clara Viseu, 2024. "Exploring Portuguese Consumers’ Behavior Regarding Sustainable Wine: An Application of the Theory of Planned Behavior," Sustainability, MDPI, vol. 16(20), pages 1-22, October.
    11. 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.
    12. Wei Zheng & Hongliang Qiu & Alastair M. Morrison, 2023. "Applying a Combination of SEM and fsQCA to Predict Tourist Resource-Saving Behavioral Intentions in Rural Tourism: An Extension of the Theory of Planned Behavior," IJERPH, MDPI, vol. 20(2), pages 1-23, January.
    13. 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.
    14. Muhammad Yaseen Bhutto & Yasir Ali Soomro & Hailan Yang, 2022. "Extending the Theory of Planned Behavior: Predicting Young Consumer Purchase Behavior of Energy-Efficient Appliances (Evidence From Developing Economy)," SAGE Open, , vol. 12(1), pages 21582440221, February.
    15. Long, Xingle & Chen, Yaqiong & Du, Jianguo & Oh, Keunyeob & Han, Insoo, 2017. "Environmental innovation and its impact on economic and environmental performance: Evidence from Korean-owned firms in China," Energy Policy, Elsevier, vol. 107(C), pages 131-137.
    16. Ming (Bryan) Wang & Li Zhao & Abigail L. Cochran, 2024. "Sentiments of Rural U.S. Communities on Electric Vehicles and Infrastructure: Insights from Twitter Data," Sustainability, MDPI, vol. 16(11), pages 1-17, June.
    17. Shah, Sayed Kifayat & Zhongjun, Tang & Sattar, Abdul & XinHao, Zhou, 2021. "Consumer's intention to purchase 5G: Do environmental awareness, environmental knowledge and health consciousness attitude matter?," Technology in Society, Elsevier, vol. 65(C).
    18. Jinkyung Jenny Kim & Heesup Han, 2022. "Hotel Service Innovation with Smart Technologies: Exploring Consumers’ Readiness and Behaviors," Sustainability, MDPI, vol. 14(10), pages 1-15, May.
    19. Chien-Chi Lin & Chih-Ming Dong, 2023. "Exploring Consumers’ Purchase Intention on Energy-Efficient Home Appliances: Integrating the Theory of Planned Behavior, Perceived Value Theory, and Environmental Awareness," Energies, MDPI, vol. 16(6), pages 1-16, March.
    20. Chuanhui Liao & Hui Li, 2019. "Environmental Education, Knowledge, and High School Students’ Intention toward Separation of Solid Waste on Campus," IJERPH, MDPI, vol. 16(9), pages 1-15, May.

    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:16:y:2024:i:19:p:8467-:d:1488517. 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.