Research on Influencing Factors of Users’ Continuance Intention to Use Car-hailing Apps

Yuhan Guo, Xiyan Lv
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引用次数: 1

Abstract

In the era of sharing economy, car-hailing apps play a significant role in our life. Therefore, this paper takes the passengers who use car-hailing apps as the research object and develops a new model based on the Expectation-Confirmation Model of IS Continuance (ECM-ISC). Five influencing factors are introduced including perceived cost, perceived risk, subjective norm, habit and conversion cost. The new model is established in order to analyze the factors that influence users’ continuance intention.
用户持续使用打车软件意愿的影响因素研究
在共享经济时代,打车软件在我们的生活中扮演着重要的角色。因此,本文以使用网约车app的乘客为研究对象,基于IS延续的期望-确认模型(ECM-ISC),建立了一个新的模型。五个影响因素分别是感知成本、感知风险、主观规范、习惯和转换成本。为了分析影响用户继续使用意愿的因素,建立了新的模型。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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