Adopting autonomous vehicles: The moderating effects of demographic variables

被引:81
作者
Park, Jungkun [1 ]
Hong, EunPyo [1 ]
Le, Hoang T. P. M. [1 ]
机构
[1] Hanyang Univ Seoul, Sch Business, South Korea 222 Wangsimni Ro, Seoul 04763, South Korea
关键词
Autonomous vehicles; Modified TAM; Integration moderation; Social influence; Gender; Family size; TECHNOLOGY ACCEPTANCE MODEL; SOCIAL-INFLUENCE; USER ACCEPTANCE; PERCEIVED EASE; INFORMATION-TECHNOLOGY; EARLY ADOPTERS; CONSUMERS; TRUST; ONLINE; INTENTION;
D O I
10.1016/j.jretconser.2021.102687
中图分类号
F [经济];
学科分类号
02 ;
摘要
Autonomous vehicles (AV) are considered one of the most disruptive technology innovations due to issues of customers' acceptance based on safety, ethics, etc. Along with the rapid advancement of smart cities' demand for this technology, getting customer acceptance of this futuristic technology is a serious concern in the AV industry. This paper modified the technology acceptance model to find out factors influencing customers' intention to use AV such as perceived usefulness, perceived ease of use, social influence, and facilitating condition, and the moderating effects of demographic variables (gender, age, family size, income, education level, and marital status) on the relationship between predictors and intention to use AV. Online questionnaires were distributed to 318 participants in South Korea and the data was analyzed through multiple regression and integration moderation test. The findings show that social influence, facilitating conditions, and perceived usefulness are three important variables of AV usage intention. In addition, demographic variables (age, marital status, family size, and educational level) can moderate effect of PU and SI on intention to use AV. Strategic directions are suggested to managers to increase the possibility of customers' acceptance of AV.
引用
收藏
页数:11
相关论文
共 89 条
[1]   How trust can drive forward the user acceptance to the technology? In-vehicle technology for autonomous vehicle [J].
Adnan, Nadia ;
Nordin, Shahrina Md ;
bin Bahruddin, Mohamad Ariff ;
Ali, Murad .
TRANSPORTATION RESEARCH PART A-POLICY AND PRACTICE, 2018, 118 :819-836
[2]  
Akram U., 2016, INT J U AND E SERVIC, V9, P43
[3]   Do knowledge acquisition and knowledge sharing really affect e-learning adoption? An empirical study [J].
Al-Emran, Mostafa ;
Teo, Timothy .
EDUCATION AND INFORMATION TECHNOLOGIES, 2020, 25 (03) :1983-1998
[4]   Predicting Internet usage in two emerging economies using an extended technology acceptance model (TAM) [J].
Al-Khateeb, Faisal B. .
CTS 2007: PROCEEDINGS OF THE 2007 INTERNATIONAL SYMPOSIUM ON COLLABORATIVE TECHNOLOGIES AND SYSTEMS, 2007, :143-149
[5]   An investigation into the acceptance of online banking in Saudi Arabia [J].
Al-Somali, Sabah Abdullah ;
Gholami, Roya ;
Clegg, Ben .
TECHNOVATION, 2009, 29 (02) :130-141
[6]   Mobile payments adoption by US consumers: an extended TAM [J].
Bailey, Ainsworth Anthony ;
Pentina, Iryna ;
Mishra, Aditya Shankar ;
Ben Mimoun, Mohammed Slim .
INTERNATIONAL JOURNAL OF RETAIL & DISTRIBUTION MANAGEMENT, 2017, 45 (06) :626-640
[7]  
Bakar A.A., 2014, INT J TECHNICAL RES, V2, P12
[8]  
Berger P. L., 1990, The social construction of reality: A treatise in the sociology of knowledge
[9]   Purchasing Wine Online: The Effects of Social Influence, Perceived Usefulness, Perceived Ease of Use, and Wine Involvement [J].
Bonn, Mark A. ;
Kim, Woo Gon ;
Kang, Sora ;
Cho, Meehee .
JOURNAL OF HOSPITALITY MARKETING & MANAGEMENT, 2016, 25 (07) :841-869
[10]   Psychosocial factors associated with intended use of automated vehicles: A simulated driving study [J].
Buckley, Lisa ;
Kaye, Sherrie-Anne ;
Pradhan, Anuj K. .
ACCIDENT ANALYSIS AND PREVENTION, 2018, 115 :202-208