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학술지 A Factor Analysis of Consumer Expectations for Autonomous Cars
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저자
노유나, 하영욱
발행일
201901
출처
Journal of Computer Information Systems, v.59 no.1, pp.52-60
ISSN
0887-4417
출판사
Taylor & Francis
DOI
https://dx.doi.org/10.1080/08874417.2017.1295791
협약과제
16ZE1200, 글로벌 ICT 선도를 위한 R&D 기획역량 제고, 한성수
초록
This study explores consumers?? expectations for autonomous cars in Korea, which will soon be available. We applied exploratory and confirmatory factor analyses to derive consumer expectations using responses from 1,506 potential autonomous car consumers. Then, we carried out a structural equation analysis to identify relationships among expectations, attitude, and behavioral intention. Seven consumer expectations were identified; of these, convenience, safety, ethics, licensing, and monetary cost were found to have a direct effect on attitude, whereas convenience, safety, and monetary cost were found to have a direct effect on intention. In addition, we demonstrate that attitude has a significant effect on intention. Autonomous cars are driving innovation in the automotive industry, transportation systems, and consumer experience. By analyzing the main factors that affect consumers?? purchasing intentions prior to the release of autonomous cars, this study provides guidance for fields preparing for the launch of autonomous cars.
KSP 제안 키워드
Automotive Industry, Autonomous Cars, Behavioral intention, Consumer Experience, Factor Analysis, Main factors, Structural equation, consumer expectations, monetary cost, transportation system