论文标题
研究文化在在线自我披露中的作用的开放模型
An Open Model for Researching the Role of Culture in Online Self-Disclosure
论文作者
论文摘要
对消费者个人信息（PI）的分析是了解消费者的重要来源。在在线设置中，许多消费者大量披露PI - 对于社交网络服务提供的信息尤其如此。尽管如此，人们通过相应地披露PI来管理他们想要维护的隐私级别。此外，研究表明，消费者的在线自我披露（OSD）在各种文化之间有所不同。因此，智能系统在收集，处理，存储或保护数据中的数据时应考虑文化问题。但是，现有的研究通常依赖于两种文化的比较，提供了宝贵的见解，但没有绘制全面的景象。我们基于隐私计算理论介绍了一种用于文化OSD研究的开放研究模型。我们的开放研究模型结合了六个文化维度，六个预测因素和24个结构化命题。它代表了一种全面的方法，该方法提供了一种基础来以系统的方式解释可能的文化OSD现象。
The analysis of consumers' personal information (PI) is a significant source to learn about consumers. In online settings, many consumers disclose PI abundantly -- this is particularly true for information provided on social network services. Still, people manage the privacy level they want to maintain by disclosing by disclosing PI accordingly. In addition, studies have shown that consumers' online self-disclosure (OSD) differs across cultures. Therefore, intelligent systems should consider cultural issues when collecting, processing, storing or protecting data from consumers. However, existing studies typically rely on a comparison of two cultures, providing valuable insights but not drawing a comprehensive picture. We introduce an open research model for cultural OSD research, based on the privacy calculus theory. Our open research model incorporates six cultural dimensions, six predictors, and 24 structured propositions. It represents a comprehensive approach that provides a basis to explain possible cultural OSD phenomena in a systematic way.
