{"title":"影响 SNS 用户提供个人信息意愿的因素","authors":"Bon-June Koo, In-Jai Kim","doi":"10.5762/kais.2024.25.1.484","DOIUrl":null,"url":null,"abstract":"This paper analyzes the factors influencing the intention of social networking service (SNS) users to provide their personal information with a focus on privacy policy, regulations, personal data control, and self-expression behavior. The model in this study employs concept variables of the Privacy Calculus Theory, specifically privacy benefit and privacy risk, as mediating factors between the influencing factors and the intention to provide personal information. Data for this research were collected from 382 participants through an online survey and analyzed using structural equation modeling, with IBM SPSS AMOS23™ as the analytical tool. The results of this study indicate that privac y policy, personal data self-regulation, relational factors, and self-expression behavior have an impact on the intention to provide personal information by influencing privacy benefits. However, it was found that privacy risks do not significantly influence the intention to provide personal information. Additionally, privacy policy and personal data self-regulation were shown to affect privacy benefits, while concerns about personal data infringement were associated with privacy risks. The findings of this study can be valuable inputs for establishing information protection and personal data management systems in both public and private sector organizations, particularly in the context of collecting and utilizing personal information safely and securely.","PeriodicalId":112431,"journal":{"name":"Journal of the Korea Academia-Industrial cooperation Society","volume":"333 2","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-01-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Factors Influencing SNS Users\\\" Intention to Provide Personal Information\",\"authors\":\"Bon-June Koo, In-Jai Kim\",\"doi\":\"10.5762/kais.2024.25.1.484\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper analyzes the factors influencing the intention of social networking service (SNS) users to provide their personal information with a focus on privacy policy, regulations, personal data control, and self-expression behavior. The model in this study employs concept variables of the Privacy Calculus Theory, specifically privacy benefit and privacy risk, as mediating factors between the influencing factors and the intention to provide personal information. Data for this research were collected from 382 participants through an online survey and analyzed using structural equation modeling, with IBM SPSS AMOS23™ as the analytical tool. The results of this study indicate that privac y policy, personal data self-regulation, relational factors, and self-expression behavior have an impact on the intention to provide personal information by influencing privacy benefits. However, it was found that privacy risks do not significantly influence the intention to provide personal information. Additionally, privacy policy and personal data self-regulation were shown to affect privacy benefits, while concerns about personal data infringement were associated with privacy risks. The findings of this study can be valuable inputs for establishing information protection and personal data management systems in both public and private sector organizations, particularly in the context of collecting and utilizing personal information safely and securely.\",\"PeriodicalId\":112431,\"journal\":{\"name\":\"Journal of the Korea Academia-Industrial cooperation Society\",\"volume\":\"333 2\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2024-01-31\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of the Korea Academia-Industrial cooperation Society\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.5762/kais.2024.25.1.484\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of the Korea Academia-Industrial cooperation Society","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.5762/kais.2024.25.1.484","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
摘要
本文分析了社交网络服务(SNS)用户提供个人信息意向的影响因素,重点关注隐私政策、法规、个人数据控制和自我表达行为。本研究的模型采用了隐私计算理论的概念变量,即隐私利益和隐私风险,作为影响因素与提供个人信息意愿之间的中介因素。本研究通过在线调查收集了 382 名参与者的数据,并以 IBM SPSS AMOS23™ 作为分析工具,使用结构方程模型进行分析。研究结果表明,隐私政策、个人数据自律、关系因素和自我表达行为通过影响隐私利益而对提供个人信息的意愿产生影响。然而,研究发现,隐私风险对提供个人信息的意愿并无明显影响。此外,隐私政策和个人数据自律被证明会影响隐私利益,而对个人数据侵权的担忧则与隐私风险有关。这项研究的结果可以为公共和私营部门组织建立信息保护和个人数据管理系统提供有价值的信息,特别是在安全可靠地收集和使用个人信息方面。
Factors Influencing SNS Users" Intention to Provide Personal Information
This paper analyzes the factors influencing the intention of social networking service (SNS) users to provide their personal information with a focus on privacy policy, regulations, personal data control, and self-expression behavior. The model in this study employs concept variables of the Privacy Calculus Theory, specifically privacy benefit and privacy risk, as mediating factors between the influencing factors and the intention to provide personal information. Data for this research were collected from 382 participants through an online survey and analyzed using structural equation modeling, with IBM SPSS AMOS23™ as the analytical tool. The results of this study indicate that privac y policy, personal data self-regulation, relational factors, and self-expression behavior have an impact on the intention to provide personal information by influencing privacy benefits. However, it was found that privacy risks do not significantly influence the intention to provide personal information. Additionally, privacy policy and personal data self-regulation were shown to affect privacy benefits, while concerns about personal data infringement were associated with privacy risks. The findings of this study can be valuable inputs for establishing information protection and personal data management systems in both public and private sector organizations, particularly in the context of collecting and utilizing personal information safely and securely.