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首页> 外文期刊>Journal of the American Society for Information Science and Technology >Determinants of Service Quality and Continuance Intention of Online Services: The Case of eTax
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Determinants of Service Quality and Continuance Intention of Online Services: The Case of eTax

机译:在线服务的服务质量和持续意图的决定因素:eTax案例

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摘要

This article examines the determinants of service quality and continuance intention of online services. We proposed and empirically tested a model with both service and technology characteristics as the main drivers of service quality and subsequent continuance intention of eTax, an electronic government (eGovernment) service that enables citizens to file their taxes online. Our data were collected via a two-stage longitudinal online survey of 518 participants before and after they made use of the eTax service in Hong Kong. The results showed that both service characteristics (i.e., security and convenience) and one of the technology characteristics (i.e., perceived usefulness, but not perceived ease of use) were the key determinants of service quality. Another interesting and important finding that runs counter to the vast body of empirical evidence on predicting intention is that perceived usefulness was not the strongest predictor of continuance intention but rather service quality was. To provide a richer picture of these relationships, we also conducted a post-hoc analysis of the effects of service and technology characteristics on the individual dimensions of service quality and their subsequent impact on continuance intention and found assurance and reliability to be the only significant predictors of continuance intention. We present implications for research and practice related to online services.
机译:本文研究了在线服务的服务质量和持续意图的决定因素。我们提出并通过经验测试了一种模型,该模型具有服务和技术特征,将其作为服务质量和eTax的后续延续意图的主要驱动力,eTax是一种电子政府(eGovernment)服务,使公民能够在线纳税。我们的数据是通过对518位参与者在使用eTax服务之前和之后在香港进行的两阶段纵向在线调查收集的。结果表明,服务特征(即安全性和便利性)和技术特征之一(即感知到的有用性,但不是感知到的易用性)都是服务质量的关键决定因素。另一个与预期意图的大量经验证据相反的有趣且重要的发现是,感知的有用性不是持续意图的最强预测因子,而是服务质量。为了更全面地了解这些关系,我们还对服务和技术特征对服务质量各个维度的影响及其对持续性意图的后续影响进行了事后分析,并发现保证和可靠性是唯一重要的预测指标持续意图。我们提出了与在线服务相关的研究和实践的启示。

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    Department of Operations and Information Systems, David Eccles School of Business, University of Utah, 1645 E. Campus Center Drive, Salt Lake City, UT 84112;

    Department of Management Information Systems, Eller College of Management, University of Arizona, 1130 E. Helen Street, Tucson, AZ 85721-0108;

    Department of Information Systems, Business Statistics and Operations Management, School of Business and Management, Hong Kong University of Science and Technology, Clear Water Bay, Kowloon, Hong Kong, China;

    Department of Information Systems, Business Statistics and Operations Management, School of Business and Management, Hong Kong University of Science and Technology, Clear Water Bay, Kowloon, Hong Kong, China;

    Department of Information Systems, Business Statistics and Operations Management, School of Business and Management, Hong Kong University of Science and Technology, Clear Water Bay, Kowloon, Hong Kong, China;

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