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Using privacy calculus theory to explore entrepreneurial directions in mobile location-based advertising: Identifying intrusiveness as the critical risk factor

机译:使用隐私演算理论探索基于位置的移动广告中的创业方向:确定侵入性为关键风险因素

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摘要

Location-based advertising is an entrepreneurial and innovative means for advertisers to reach out through personalised messages sent directly to mobile phones using their geographic location. The mobile phone users' willingness to disclose their location and other personal information is essential for the successful implementation of mobile location-based advertising (MLBA). Despite the potential enhancement of the user experience through such personalisation and the improved interaction with the marketer, there is an increasing tension between that personalisation and mobile users' concerns about privacy. While the privacy calculus theory (PCT) suggests that consumers make privacy-based decisions by evaluating the benefits any information may bring against the risk of its disclosure, this study examines the specific risks and benefits that influence consumers' acceptance of MLBA. A conceptual model is proposed based on the existing literature and a standardised survey was developed and targeted at individuals with known interests in the subject matter. From these requests, 252 valid responses were received and used to evaluate the key benefits and risks of MLBA from the users' perspectives. While the results confirmed the importance of intemet privacy concerns (IPC) as an important determinant, they also indicate that monetary rewards and intrusiveness have a notably stronger impact on acceptance intentions towards MLBA. Intrusiveness is the most important risk factor in determining mobile users' intentions to accept MLBA and therefore establishing effective means of minimising the perceived intrusiveness of MLBA can be expected to have the greatest impact on achieving effective communications with mobile phone users.
机译:基于位置的广告是一种广告客户可以通过使用其地理位置直接发送到手机的个性化消息与企业联系的创新型创新手段。移动电话用户愿意公开其位置和其他个人信息对于成功实施基于位置的移动广告(MLBA)至关重要。尽管通过这样的个性化和与营销人员的互动可能会增强用户体验,但是在个性化和移动用户对隐私的担忧之间却越来越紧张。尽管隐私演算理论(PCT)建议消费者通过评估任何信息可能带来的利益与信息泄露风险来做出基于隐私的决策,但本研究还是考察了影响消费者接受MLBA的具体风险和利益。在现有文献的基础上,提出了一个概念模型,并开发了一项标准化调查,针对的是对主题感兴趣的个人。从这些请求中,收到了252个有效回复,并用于从用户的角度评估MLBA的主要优势和风险。尽管结果证实了互联网隐私关注(IPC)作为重要决定因素的重要性,但它们还表明,金钱奖励和侵入性对接受MLBA的意愿有明显更强的影响。侵入性是确定移动用户接受MLBA意图的最重要的风险因素,因此,建立有效的方法来最大程度地降低MLBA的感知侵入性可以预期对实现与移动电话用户的有效通信产生最大影响。

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