Abstract

Thanks to technological breakthroughs, drivers are enjoying traffic-associated social media to share and update information in place of the traditional ways using TV or radio. In this research, we integrate the IS success model and the privacy calculus model to elaborate on the factors of sustaining user’s continuance intention in information-sharing platforms. We collected data via online surveys from a community-based application that supports real-time traffic information sharing. The findings shed light on how perceived value and privacy concerns impact users’ continuance intention. While a higher level of perceived value enhances users’ continuance intention, privacy concerns do not influence users’ decision in continuing using the traffic app. This research provides initial efforts to investigate the effect of privacy paradox on users' continuance intention in the new context of a specific traffic-related social media platform.

摘要

由于技术上的突破，驾驶员可以享受与交通相关的社交媒体来共享和更新信息，从而取代传统的使用电视或广播的方式。在这项研究中，我们集成了IS成功模型和隐私演算模型，以详细阐述在信息共享平台中维持用户持续意图的因素。我们通过在线调查从基于社区的应用程序收集数据，该应用程序支持实时交通信息共享。研究结果揭示了感知价值和隐私问题如何影响用户的持续意愿。尽管更高的感知价值可以增强用户的持续使用意愿，但隐私问题不会影响用户继续使用流量应用的决定。这项研究提供了初步的努力，以调查隐私悖论对用户的影响