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Watch Your Mobile Payment: An Empirical Study of Privacy Disclosure

机译:观看您的移动支付:隐私披露的实证研究

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摘要

Using a smartphone as payment device has become a highly attractive feature that is increasingly influencing user acceptance. Electronic wallets, near field communication, and mobile shopping applications, are all incentives that push users to adopt m-payment. Hence, this makes the sensitive data that already exists on everyone's smartphone easily collated to their financial transaction details. In fact, misusing m-payment can be a real privacy threat. The existing privacy issues regarding m-payment are already numerous, and can be caused by different factors. We investigate, through an empirical survey-based study, the different factors and their potential correlations and regression values. We identify three factors that influence directly privacy disclosure: the user's privacy concerns, his risk perception, and the protection measure appropriateness. These factors are impacted by indirect ones, which are linked to the users' and the technology's characteristics, and the behaviour of institutions and companies. In order to analyse the impact of each factor, we define a new research model for privacy disclosure based on several hypotheses. The study is mainly based on a five-item scale survey, and on the modelling of structural equations. In addition to the impact estimations for each factor, our study results indicate that the privacy disclosure in m-payment is primarily caused by the "protection measure appropriateness", which, in its turn, impacted by "the m-payment convenience". We discuss in this paper the research model, the methodology, the findings and their significance.
机译:使用智能手机作为支付设备已成为极具吸引力的功能,正在越来越多地影响用户的接受程度。电子钱包,近距离通信和移动购物应用程序都是促使用户采用移动支付的诱因。因此,这使得每个人的智能手机上已经存在的敏感数据可以轻松地与他们的财务交易详细信息进行核对。实际上,滥用移动支付可能是真正的隐私威胁。关于移动支付的现有隐私问题已经很多,并且可能由不同的因素引起。通过基于经验调查的研究,我们调查了不同的因素及其潜在的相关性和回归值。我们确定了三个直接影响隐私披露的因素:用户的隐私担忧,他的风险感知以及保护措施的适当性。这些因素受到间接因素的影响,这些因素与用户和技术的特征以及机构和公司的行为有关。为了分析每个因素的影响,我们基于几个假设为隐私披露定义了一个新的研究模型。该研究主要基于五项规模的调查,并基于结构方程的建模。除了对每个因素的影响估计之外,我们的研究结果表明,移动支付中的隐私披露主要是由“保护措施的适当性”引起的,而“保护措施的适当性”又受到“移动支付便利性”的影响。我们在本文中讨论了研究模型,方法,研究结果及其意义。

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