The DOI matches its Crossref record; 67 of the 67 references it cites were found in a registry or an index.
Perceived value and adoption intention for electric vehicles in Korea: Moderating effects of environmental traits and government supports
Abstract
Abstract In response to concerns about rapid climate change and air pollution, electric vehicles (EVs) have been diffusing rapidly in some countries since the early 2010s. Many researchers have investigated the value attributes affecting consumers' attitudes to and behaviors around EVs. Little effort has been made, however, to identify the interacting factors in the relationship between perceived value and adoption. To fill this research gap, we examine the moderating effects of environmental traits and government supports on adoption intention. Using survey data collected from 285 drivers in Korea, we identify the significant impacts of perceived value as a predictor of consumers' intention to adopt EVs. Operational economic benefit and charging risk are revealed as the main motivators of and barriers to EV diffusion, respectively. We also find that environmental concern and financial incentives significantly enhance the effects of perceived value on adoption intention. The implications of these findings for the success of EV market diffusion are discussed.
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Podsakoff, P. M., MacKenzie, S. B., Lee, J.-Y., & Podsakoff, N. P. (2003) · Journal of Applied Psychology · doi:10.1037/0021-9010.88.5.879 · Cited by 82,194
Herne, H., Cooley, W. W., & Lohnes, P. R. (1973) · Journal of the Royal Statistical Society. Series A (General) · doi:10.2307/2344428 · Cited by 35,697
(1997) · Chemometrics in Environmental Analysis · doi:10.1002/352760216x.ch5 · Cited by 18,653
Costello, A. B., & Osborne, J. (2005) · University of Massachusetts Amherst · doi:10.7275/jyj1-4868 · Cited by 10,297
Customer value: The next source for competitive advantage
Woodruff, R. B. (1997) · Journal of the Academy of Marketing Science · doi:10.1007/bf02894350 · Cited by 4,656
Agarwal, R., & Prasad, J. (1998) · Information Systems Research · doi:10.1287/isre.9.2.204 · Cited by 3,575
Predicting e-services adoption: A perceived risk facets perspective
Featherman, M. S., & Pavlou, P. A. (2003) · International Journal of Human-Computer Studies · doi:10.1016/s1071-5819(03)00111-3 · Cited by 3,351
Social norms and energy conservation
Allcott, H. (2011) · Journal of Public Economics · doi:10.1016/j.jpubeco.2011.03.003 · Cited by 2,802
The value concept and relationship marketing
Ravald, A., & Grönroos, C. (1996) · European Journal of Marketing · doi:10.1108/03090569610106626 · Cited by 2,180
Value-based Adoption of Mobile Internet: An empirical investigation
Kim, H.-W., Chan, H. C., & Gupta, S. (2007) · Decision Support Systems · doi:10.1016/j.dss.2005.05.009 · Cited by 2,084
Cited by
Identification and Analysis of Barriers against Electric Vehicle Use
Adhikari, M., Ghimire, L. P., Kim, Y., Aryal, P., & Khadka, S. B. (2020) · Sustainability · doi:10.3390/su12124850 · Cited by 203
Zhang, W., Wang, S., Wan, L., Zhang, Z., & Zhao, D. (2022) · Transportation Research Part D: Transport and Environment · doi:10.1016/j.trd.2021.103157 · Cited by 127
Exploring purchase intentions of new energy vehicles: Do “mianzi” and green peer influence matter?
Zhao, H., Bai, R., Liu, R., & Wang, H. (2022) · Frontiers in Psychology · doi:10.3389/fpsyg.2022.951132 · Cited by 26
Metadata
- Authors
- Kim, M.-K., Oh, J., Park, J.-H., & Joo, C.
- Venue
- Energy
- Publisher
- Elsevier BV
- Published
- 2018-09
- Volume
- 159
- Pages
- 799-809
- ISSN
- 0360-5442 (ISSN-L)
- OpenAlex
- W2808625296
- Cited by
- 298
- References
- 67
- FWCI
- 4.70
- Type
- journal article
- Language
- en
- Open access
- closed
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- Kim, M.-K., Oh, J., Park, J.-H., & Joo, C. (2018). Perceived value and adoption intention for electric vehicles in Korea: Moderating effects of environmental traits and government supports. Energy. https://doi.org/10.1016/j.energy.2018.06.064
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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