Demographic and social differences in autonomous vehicle technology acceptance in Hungary

IF 3.7 3区 管理学 Q2 BUSINESS Journal of Engineering and Technology Management Pub Date : 2024-04-01 DOI:10.1016/j.jengtecman.2024.101813
Melinda Jászberényi , Katalin Ásványi , Csaba Csiszár , László Kökény
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Abstract

Progress in automation has resulted in a growing number of autonomous vehicles (AVs). However, demographic and social differences behind the acceptance of AV technology are an emerging topic in the East-Central European region. These countries (e.g., Poland, Slovakia, Romania) move on a similar technological development path, and the social and economic conditions are alike; thus, Hungary represents this region well. This study contributes to fill this niche. We used quantitative research methods (factor analysis, Kruskal-Wallis H test, Pearson-correlation) to analyze with a snowball (non-probability) sampling. The Hungarian respondents (N=949) selected in the sample were interviewed through a face-to-face and online quantitative questionnaire. The results show that gender and age influence mostly the acceptance; residence and occupation have only partial influence. The propensity to take risks is significantly differentiated in almost all demographic segments. The results facilitate differentiation of users based on their demographic characteristics in AV adoption. Furthermore, the integration of risk propensity into the analysis helps to identify which potential user groups are more likely to overcome any fears of novelty or which clusters are more likely to adopt the current framework of safe transport without driver control. The outcomes are of interest to engineers, manufacturers and policy-makers who can adapt their products, services and taking measures to meet the mobility needs of potential users and introduce effective incentives to increase public acceptance of AVs.

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匈牙利接受自动驾驶汽车技术的人口和社会差异
自动化技术的进步使自动驾驶汽车(AV)的数量不断增加。然而,在东欧和中欧地区,接受自动驾驶汽车技术背后的人口和社会差异是一个新出现的话题。这些国家(如波兰、斯洛伐克、罗马尼亚)走在类似的技术发展道路上,社会和经济条件相似;因此,匈牙利很好地代表了这一地区。本研究有助于填补这一空白。我们采用了定量研究方法(因子分析、Kruskal-Wallis H 检验、Pearson-correlation),以滚雪球(非概率)抽样方式进行分析。通过面对面和在线定量问卷调查的方式,对样本中选取的匈牙利受访者(N=949)进行了访谈。结果显示,性别和年龄对接受度影响最大;居住地和职业仅有部分影响。承担风险的倾向在几乎所有人群中都有显著差异。这些结果有助于在采用视听产品时根据人口特征对用户进行区分。此外,将风险倾向纳入分析有助于确定哪些潜在用户群体更有可能克服对新事物的恐惧,或者哪些群组更有可能采用当前无驾驶员控制的安全运输框架。分析结果对工程师、制造商和政策制定者很有意义,他们可以调整其产品、服务和措施,以满足潜在用户的移动需求,并引入有效的激励措施,提高公众对自动驾驶汽车的接受度。
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来源期刊
CiteScore
8.00
自引率
6.20%
发文量
29
审稿时长
>12 weeks
期刊介绍: The Journal of Engineering and Technology Management (JET-M) is an international scholarly refereed research journal which aims to promote the theory and practice of technology, innovation, and engineering management. The journal links engineering, science, and management disciplines. It addresses the issues involved in the planning, development, and implementation of technological capabilities to shape and accomplish the strategic and operational objectives of an organization. It covers not only R&D management, but also the entire spectrum of managerial concerns in technology-based organizations. This includes issues relating to new product development, human resource management, innovation process management, project management, technological fusion, marketing, technological forecasting and strategic planning. The journal provides an interface between technology and other corporate functions, such as R&D, marketing, manufacturing and administration. Its ultimate goal is to make a profound contribution to theory development, research and practice by serving as a leading forum for the publication of scholarly research on all aspects of technology, innovation, and engineering management.
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