This empirical study explores determinants of consumer resistance towards self-driving cars by considering the level of car autonomy. Based on a literature review, this research distinguishes between the effects of functional and psychological barriers on behavioral intention. Several studies have clarified that technological innovation in particular, need to overcome several barriers as a first step, before (potential) users will even start to favor buying such an innovation. Data was collected by an online-survey in December 2017, resulting in an effective sample of 182 respondents. The sample has an average age of M = 24.46 years with 70% male participants and a total of 95% were in possession of a driver license. To ensure that the respondents are able to differentiate between the characteristics or levels of autonomous driving, two independent samples were surveyed on the basis of different scenarios (low and high autonomy). In addition, a structural equation model (SEM) was used to perform an analysis of measurement and structural models using SmartPLS 3.0 software. The findings show that functional and psychological aspects explain consumer resistance towards self-driving cars. Interestingly, the results of a moderation analysis illustrate that the effects of both psychological barriers (i.e., image and traditions/norms) on behavioral intentions vary between a high and a low level of car autonomy. In detail, for those who evaluated the high autonomy scenario (N=92), significant results can be presented for both psychological barriers. Surprisingly, no significant relationship between risk barrier as functional barrier and behavioral intention can be verified. Conclusively, marketers and OEM’s, respectively, should elaborate specific strategies for the different levels of autonomous driving that will be introduced to the market over the next decades. To support these findings, it would be helpful to test the model with a larger sample and new items to test for a potential usage barrier. Moreover, it would be prudent to test additional scenarios and levels of autonomous driving.

일반상선 중 액화천연가스(LNG) 재기화 선박은 기존의 LNG 운반선에 액화된 LNG를 다시 기화할 수 있는 추가설비를 갖춘선박이다. 이 선박은 해상에서 천연가스를 해저 터미널을 통해 이송하는 수중 터렛 시스템을 보유한다. 하역작업을 완료한 선박이 운항 시에는 수중 터렛이 없음으로 인해 선수부 바닥이 열려 있는 개구부 즉, 오프닝 상태가 발생한다. 본 연구의 주 목적은 오프닝 상태로 운항 시 발생되는 속도손실을 CFD를 이용한 유동해석과 예인수조에서의 모형시험을 통하여 정확하게 파악하였다. 모형시험에서는 나선 상태와 오프닝 상태에서 저항 및 자항성능을 평가하였다. 실험에서는 터프트 법에 의한 유선조사시험을 이용하여 오프닝 내부유동의 변화를 정량적 또는 정성적으로 보다 더 상세한 조사를 하였다.

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