Automated vehicle acceptance in China: Social influence and initial trust are key determinants

Zhang, Tingru; Tao, Da; Qu, Xingda; Zhang, Xiaoyan; Zeng, Jihong; Zhu, Haoyu; Han, Zhu

doi:10.1016/j.trc.2020.01.027

Cited by 254 publications

(167 citation statements)

References 65 publications

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“…While most prior empirical studies are based on descriptive analysis, a few studies adopt the conventional behavioral frameworks when investigating consumers' adoption of AVs. For example, drawing on TAM (Davis, 1989), Zhang et al (2020) highlight the importance of social influence and initial trust in shaping consumer acceptance of AVs, and Kaur and Rampersad (2018) suggest that performance expectations and reliability are critical adoption determinants. Based on the Diffusion of Innovation (Rogers, 2003), Hardman et al (2019) show that AVs are likely to be adopted by a small group of pioneering consumers who have high income, good AV knowledge, and positive attitude toward technology in general.…”

Section: Theoretical Background and Hypotheses Developmentmentioning

confidence: 99%

“…Although academic researchers have started to investigate potential consumer preferences and behavior for AV adoption (see a recent literature review from Gkartzonikas & Gkritza, 2019), existing research on AV adoption typically has three weaknesses. First, most prior empirical studies investigating consumers' perceptions and adoption intentions toward AVs are based on descriptive analysis methodology, except a few studies (e.g., Zhang et al, 2020) employing conventional adoption frameworks such as Technology Acceptance Model (TAM). Gkartzonikas and Gkritza (2019) call for empirical research based on well‐established behavioral theories to gain insights about the relationship between consumers' attitudes and behavioral intentions toward adopting AVs.…”

Section: Introductionmentioning

confidence: 99%

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Understanding the potential adoption of autonomous vehicles in China: The perspective of behavioral reasoning theory

Huang

Qian

2021

Psychology and Marketing

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Powered by artificial intelligence (AI), autonomous vehicles (AVs) are one of the most disruptive technologies to reduce road incidents, improve road efficiency and enhance mobility for underserved populations. However, existing literature of AV adoption is either based on descriptive analysis or simple applications of conventional behavioral frameworks. Drawing on behavioral reasoning theory (BRT), we examine the effect of reasoning process on consumers' attitudes and intentions toward adopting AVs, and how their psychological traits moderates the relationships. By conducting a nationwide survey in China (n = 849), we identify positive (negative) effects of individuals' reasons for (against) adopting AVs on their adoption intentions for AVs, and positive influence of face consciousness on the reasoning process. More importantly, we find that the psychological trait of need for uniqueness strengthens the association between consumers' reasoning for AVs and their adoption intention, while the risk aversion trait intensifies the negative relationships between consumers' reasoning against AVs and their attitude/adoption intention. We contribute to the literature of AI adoption by establishing the important roles of consumers' reasons for and against such innovations. We also extend the BRT framework by identifying the roles of psychological traits in moderating the relationships among reasoning, attitude, and adoption intention.

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Section: Theoretical Background and Hypotheses Developmentmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Understanding the potential adoption of autonomous vehicles in China: The perspective of behavioral reasoning theory

Huang

Qian

2021

Psychology and Marketing

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“…Finally, it is noted that asking customers to pay effort is not easy at the beginning stage. Zhang et al (2020) consider the acceptance of autonomous vehicle in China. The authors study the effect of trust, social influence, and personality traits on the acceptance of autonomous vehicle through questionnaires, and give corresponding conclusions and suggestions.…”

Section: Literature Reviewmentioning

confidence: 99%

A new ride‐sharing model incorporating the passengers' efforts

Yao

Zhen

2020

Naval Research Logistics

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We address a novel ride-sharing model aiming to improve the quality of carpool services, by means of incorporation of passengers' efforts. In densely populated areas, locating and picking up passengers are often time costly. These phenomena, which are rarely considered in literature, will hurdle the service efficiency of ride-sharing businesses by a significant amount, and contribute to the performance gap between theoretical estimation and practical performance. We notice that major platforms, such as DiDi, Uber, and Lyft are all starting innovative ways to encourage passengers to take efforts to walk to the assigned stations. We present a static optimization model for the planning stage of the service and establish an estimation of the carpooling rate for each station together with robustness consideration. In addition, we provide simple and efficient optimization algorithms with theoretical performance guarantee. At the same time, we conduct simulation studies based on both random generated data and open accessible data from DiDi. By applying our model and algorithm to the data of DiDi, we can achieve carpooling rates of 90% while passengers are located within an average radius of 250 m spending an extra waiting time of less than 3 min for their shared rides during rush hour.

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“…Usefulness, Perceived Enjoyment Social influence is described as a person's perception of the social pressure put on him/her to perform or not to perform a behavior [57]. Koenig-Lewis et al [58], Bailey et al [59], and Zhang et al [60] suggested that social influence can help consumers to obtain new information regarding product usefulness. Terzis et al [61] also mentioned that individual characteristics increase perceived usefulness via social influence, leading to affect behavioral intention indirectly.…”

Section: Relationship Between Social Influence and Perceivedmentioning

confidence: 99%

Exploring consumers’ impulse buying behavior on online apparel websites: An empirical investigation on consumer perceptions

Lee

Chen

Huang

et al. 2021

IJECS

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In the information age, more and more people are buying products on the Internet. Impulsive buying within the online shopping research is gradually receiving more attention, as it contributes significantly to online retail profit. This study proposed a research model based on the Stimulus Organism Response (S-O-R) framework to finding the antecedents of consumer reaction and behavior, specifically to distinguish task-relevant stimuli (price attribute and convenience; i.e. TR cues) and mood-relevant stimuli (visual appeal, social influence, vendor creativity; i.e. MR cues), perceived usefulness and perceived enjoyment to explore which factors affect online impulse buying behavior. Data from 446 customers who bought apparel products online were collected to evaluate the research model.The results indicate that convenience, visual appeal, social influence, and the vendor's creativity have a positive impact on perceived usefulness; price attribute, visual appeal, social influence, and the vendor's creativity have a positive impact on perceived enjoyment. The results also indicate that convenience and social influence are the two strongest predictors of perceived usefulness and perceived enjoyment respectively. Also, it was observed that impulse buying tendency and perceived enjoyment both significantly affect consumers' urge to buy impulsively, whereas perceived usefulness indirectly influences consumers' urge to buy impulsively through perceived enjoyment.

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Automated vehicle acceptance in China: Social influence and initial trust are key determinants

Cited by 254 publications

References 65 publications

Understanding the potential adoption of autonomous vehicles in China: The perspective of behavioral reasoning theory

Understanding the potential adoption of autonomous vehicles in China: The perspective of behavioral reasoning theory

A new ride‐sharing model incorporating the passengers' efforts

Exploring consumers’ impulse buying behavior on online apparel websites: An empirical investigation on consumer perceptions

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