Ridesharing in the Polish Experience: A Study using Unified Theory of Acceptance and Use of Technology

Stefan Cylwik, Renata Gabryelczyk, M. Chlebus
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Abstract

Abstract The main aim of this article is to examine the factors that influence the acceptance of ridesharing technologies in Polish society, including dynamic vanpooling on demand. The study was conducted using the UTAUT 2 model (Theory of Acceptance and Use of Technology). We have employed statistical and econometric data analyses such as factor analysis and linear regression using the Partial Least Square (PLS) method. Based on the review of the publications on ridesharing in the context of sharing economy, we have modified the UTAUT 2 model by supplementing it with the trust factor, which is a significant contribution to the development of this theory when applied to the acceptance of ridesharing technologies. Further, the outcomes allowed us to identify the factors that influence people's attitudes in using shared-ride technology (performance expectancy, hedonistic motivation and habit) and the intention to use this technology (effort expectancy, performance expectancy, price value, habit and trust). This study has practical implications as it has helped identify the factors that affect the acceptance of ridesharing technologies in Poland and these factors are significant for the suppliers of these technologies. The findings can certainly become a starting point for further research on other communities and the application of other models of technology.
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波兰经验中的拼车:基于技术接受与使用统一理论的研究
本文的主要目的是研究影响波兰社会接受拼车技术的因素,包括按需动态拼车。本研究采用UTAUT 2模型(技术接受与使用理论)进行。我们采用统计和计量经济学数据分析,如因子分析和线性回归使用偏最小二乘法(PLS)方法。基于对共享经济背景下共享出行相关出版物的回顾,我们对UTAUT 2模型进行了修改,加入了信任因素,这对该理论在应用于共享出行技术接受方面的发展做出了重大贡献。此外,结果使我们能够确定影响人们使用共享乘车技术的态度(性能预期、享乐主义动机和习惯)和使用该技术的意图(努力预期、性能预期、价格价值、习惯和信任)的因素。这项研究具有实际意义,因为它有助于确定影响波兰接受拼车技术的因素,这些因素对这些技术的供应商来说意义重大。这些发现当然可以成为进一步研究其他社区和应用其他技术模型的起点。
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来源期刊
CiteScore
0.60
自引率
0.00%
发文量
9
期刊介绍: The Central European Journal of Economic Modelling and Econometrics (CEJEME) is a quarterly international journal. It aims to publish articles focusing on mathematical or statistical models in economic sciences. Papers covering the application of existing econometric techniques to a wide variety of problems in economics, in particular in macroeconomics and finance are welcome. Advanced empirical studies devoted to modelling and forecasting of Central and Eastern European economies are of particular interest. Any rigorous methods of statistical inference can be used and articles representing Bayesian econometrics are decidedly within the range of the Journal''s interests.
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