网络自我表露中文化作用研究的开放模型
An Open Model for Researching the Role of Culture in Online Self-Disclosure
摘要：
对消费者个人信息的分析是了解消费者的重要来源。在在线环境中，许多消费者大量披露PI-这对于社交网络服务提供的信息尤其如此。尽管如此，人们还是通过披露PI来管理他们想要保持的隐私级别。此外，研究表明，消费者的在线自我披露（OSD）在不同的文化中是不同的。因此，智能系统在收集、处理、存储或保护消费者数据时应考虑文化问题。然而，现有的研究通常依赖于两种文化的比较，提供了有价值的见解，但没有描绘出一幅全面的图景。我们介绍了一个开放的研究模型的文化OSD研究，隐私演算理论的基础上。我们的开放式研究模型包括六个文化维度，六个预测因子和24个结构化命题。它代表了一个全面的方法，提供了一个基础，以系统的方式解释可能的文化OSD现象。
英文摘要：
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.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
