Abstract
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.
Original language | English |
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DOIs | |
Publication status | Published - Jan 2018 |
Event | 51st Hawaii International Conference on System Sciences - Waikoloa, Big Island, HI, USA, Big Island, United States Duration: 3 Jan 2018 → 6 Jan 2018 Conference number: 51 |
Conference
Conference | 51st Hawaii International Conference on System Sciences |
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Abbreviated title | HICSS 2018 |
Country/Territory | United States |
City | Big Island |
Period | 3/01/18 → 6/01/18 |