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Understanding location-based service application connectedness: Model development and cross-validation

机译:了解基于位置的服务应用程序的连接性:模型开发和交叉验证

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The current study presents Location-based application connectedness (LBS app connectedness) as an indicator of LBS application usage behavior. This paper develops and empirically cross-validates a model to explain the use of LBS apps by integrating the Technology Acceptance Model with the Innovation Resistance Model. The current study recruited a sample of 241 participants for study 1 and 202 for study 2. Results indicated that, as hypothesized, perceived usefulness was positively related to LBS app connectedness and perceived ease of use was positively related to perceived usefulness. Innovation resistance was negatively associated with LBS app connectedness. Surprisingly, perceived privacy risk displayed an unexpected positive association with perceived usefulness. A negative link between perceived usefulness and innovation resistance was newly added in the revised model. On the other hand, a path between perceived ease of use and LBS app connectedness as well as a link between perceived privacy risk and innovation resistance were excluded from the model. Theoretical and practical implications of the proposed model are further discussed, and suggestions for future research are provided.
机译:当前的研究提出了基于位置的应用程序连接性(LBS应用程序连接性),作为LBS应用程序使用行为的指标。本文通过将技术接受模型与创新阻力模型相集成,开发并凭经验交叉验证了用于解释LBS应用程序使用情况的模型。当前的研究从研究1的241名参与者和研究2的202名参与者中收集了样本。结果表明,假设的是,感知的有用性与LBS应用程序的连通性呈正相关,感知的易用性与感知的有用性呈正相关。创新阻力与LBS应用程序的连通性负相关。出人意料的是,感知到的隐私风险与感知到的有用性之间呈现出出乎意料的正相关。修订模型中新添加了感知的有用性和创新阻力之间的负相关关系。另一方面,模型不包括感知的易用性与LBS应用程序之间的联系以及感知的隐私风险与创新阻力之间的联系。进一步讨论了该模型的理论和实践意义,并提供了对未来研究的建议。

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