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Explaining online Purchase Intention: Validating Technology Acceptance Model via Structural Equation Model

机译:解释在线购买意图:通过结构方程模型验证技术接受模型

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摘要

This study was conducted to explore the determinants affecting the intention to accept the use of technology in the online services sector by customers. Based on the theoretical model that includes the theory of technology accepting model (TAM) in this study, a revised model was proposed for a better explanation of the online service. Furthermore, the purpose of the research was to determine the impact of perceived ease of use, perceived usefulness and customer attitudes on online purchase intention. The proposed model was tested using survey data of 220 respondents. SPSS 22.0 and Statistica 8.0 were used for the data analysis. The data was analyzed using structural equation modeling. The results of the analysis showed that the TAM model is appropriate in the context of adopting online sales services by the customer. In addition, attitudes and perceived ease of use technology for online reservation users have been identified as the most important factor driving customers to adopt online booking.com services. Our findings through the study can allow service providers (travel agents, hostels, transportation, etc.) to develop strategies and improve their services in order to increase the adoption of technology over the Internet and accepting its use by customers.
机译:进行这项研究的目的是探寻影响客户接受在线服务领域技术使用意愿的决定因素。在此研究的理论模型(包括技术接受模型(TAM))的基础上,提出了修订模型,以更好地解释在线服务。此外,该研究的目的是确定感知的易用性,感知的有用性和客户态度对在线购买意图的影响。使用220位受访者的调查数据对提出的模型进行了测试。使用SPSS 22.0和Statistica 8.0进行数据分析。使用结构方程模型分析数据。分析结果表明,TAM模型适用于客户采用在线销售服务的情况。此外,在线预订用户的态度和易于使用的技术已被认为是促使客户采用在线booking.com服务的最重要因素。通过研究,我们的发现可以使服务提供商(旅行社,旅馆,交通等)制定策略并改善其服务,以增加Internet上对技术的采用并接受客户的使用。

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