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Acquiring travel-related information from mobile social networking services: What factors predict social networking services users' perceived value and trust in Malaysia?

机译:从移动社交网络服务获取与旅行相关的信息:预测社交网络服务用户的感知价值和信任在马来西亚的哪些因素?

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The goal of this research is to predict which factors influence SNS users' perceived value and trust in acquiring travel-related information from mobile social networking services (mobile SNS). Data were analysed via the Partial Least Square-Structural Equation Modelling (PLS-SEM) approach to examine the postulated research hypotheses. The PLS-SEM approach revealed that perceived enjoyment profoundly influenced SNS users' perceived value of the travel-related information acquired from mobile SNS. Furthermore, perceived value was found as the strongest predictor of SNS users' trust in acquiring travel-related information from mobile SNS. Users were able to accumulate a high volume of knowledge from other online users who shared a variety of travel-related information via SNS. This allows users to acquire substantial amounts of useful travel-related data from other online users using SNS while simultaneously, improving their interpersonal relationships. The empirical research findings provide some directions for managers in the tourism industry to follow, by applying the findings of this study to their marketing strategies. The study gains in importance, particularly after Facebook's data privacy scandal with Cambridge Analytica. Directions for future research are offered.
机译:本研究的目标是预测哪些因素影响SNS用户的感知价值和信任从移动社交网络服务(移动SNS)获取与旅行相关信息。通过部分最小二乘 - 结构方程建模(PLS-SEM)方法分析数据来检查假设的研究假设。 PLS-SEM方法透露,感知享受深刻地影响了来自移动SNS获取的旅行相关信息的SNS用户的感知价值。此外,发现价值被认为是SNS用户信任从移动SNS获取旅行相关信息的最强预测因子。用户能够通过SNS共享各种旅行相关信息的其他在线用户累积大量知识。这允许用户使用SNS从其他在线用户获取大量有用的旅行相关数据,同时使用SNS,从而提高其人际关系。通过将本研究的调查结果应用于其营销策略,经验研究结果为旅游业的管理人员提供了一些方向。该研究的重要性,特别是在Facebook的数据隐私丑闻与剑桥分析中的数据隐私后。提供了未来研究的路线。

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