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Applying the Extended Technology Acceptance Model to Explore Taiwan’s Generation Z’s Behavioral Intentions toward Using Electric Motorcycles

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  • Xiyu Zhang

    (Department of Accounting, School of Business, Nanjing University, Nanjing 210093, China)

  • Minyen Chang

    (Department of Accounting, Jiaxing University, Jiaxing 314001, China)

Abstract

With increasing global warming, environmental protection and green energy have become hotly discussed issues recently. Countries have proposed a net-zero carbon emission path, among which low-carbon transportation has been listed as the primary goal of each country. In Taiwan, which has the highest density of motorcycles in Asia, electric motorcycles are an environmentally friendly mobility solution that enjoys greater advantages for development because of their eco-friendly and energy-saving nature in the global context of environmental protection, energy conservation, carbon reduction, and sharing economies. This study applies the technology acceptance model and incorporates environmental concerns, value propositions, and government policies as variables to explore the behavioral intentions of Taiwan’s Generation Z toward using electric motorcycles. A total of 391 questionnaires were collected, and the correlation between variables was analyzed using partial least squares structural equation modeling (PLS-SEM). The study revealed that: (1) consumers’ perceived usefulness and perceived ease of use positively influence their attitudes toward using electric motorcycles; (2) consumers’ environmental concerns do not influence their attitudes toward using electric motorcycles; and (3) consumers’ attitudes toward using electric motorcycles, value propositions, and government policies positively influence their behavioral intentions toward using electric motorcycles. The above findings will have theoretical and practical implications in terms of academic reference and the motorcycle industry.

Suggested Citation

  • Xiyu Zhang & Minyen Chang, 2023. "Applying the Extended Technology Acceptance Model to Explore Taiwan’s Generation Z’s Behavioral Intentions toward Using Electric Motorcycles," Sustainability, MDPI, vol. 15(4), pages 1-15, February.
  • Handle: RePEc:gam:jsusta:v:15:y:2023:i:4:p:3787-:d:1073477
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    1. Kalina Grzesiuk & Dorota Jegorow & Monika Wawer & Anna Głowacz, 2023. "Energy-Efficient City Transportation Solutions in the Context of Energy-Conserving and Mobility Behaviours of Generation Z," Energies, MDPI, vol. 16(15), pages 1-28, August.

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