Online Purchasing and its Determinants: An Experimental Approach

Zafer Akin
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引用次数: 1

Abstract

With the rapid and worldwide emergence of electronic commerce in terms of both number of users and volume, the importance of an in-depth understanding of consumers’ attitudes toward online purchasing has been increasing. There is a broad literature on this topic mainly based on Technology Acceptance Model (TAM) that is extended by including other factors such as trust and risk. This study brings a new angle to the existing literature by measuring risk factor in a laboratory experiment by employing an improved version of a widely used method in experimental economics. Risk preferences are measured for 64 university students who then answer a questionnaire about online purchasing. We propose a comprehensive model based on TAM and employ partial least squares approach to analyze the data. We find that experimentally elicited risk preference measure and variables of hedonic aspect of TAM have significant effects while trust, other risk measures and variables of utilitarian aspect of TAM have no significant effect on online shopping behavior. We finally discuss the implications and limitations of our study and provide some future study suggestions.
网上购物及其决定因素:一种实验方法
随着电子商务在用户数量和数量方面的迅速和全球范围内的出现,深入了解消费者对在线购物的态度的重要性日益增加。关于这一主题的广泛文献主要基于技术接受模型(TAM),该模型通过包括信任和风险等其他因素进行扩展。本研究采用实验经济学中广泛使用的方法的改进版本,在实验室实验中测量风险因素,为现有文献提供了一个新的视角。研究人员测量了64名大学生的风险偏好,然后让他们回答一份关于网上购物的问卷。我们提出了一个基于TAM的综合模型,并采用偏最小二乘法对数据进行分析。我们发现实验引出的风险偏好测度和TAM的享乐方面变量对网购行为有显著影响,而信任、其他风险测度和TAM的功利方面变量对网购行为没有显著影响。最后讨论了本研究的意义和局限性,并对未来的研究提出了建议。
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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