{"title":"在线社交网络中对信息隐私关注的文化和代际影响:对Miltgen和Peyrat-Guillard模型的实证评估","authors":"Faruk Arslan, Niharika Dayyala","doi":"10.1080/15536548.2017.1412114","DOIUrl":null,"url":null,"abstract":"ABSTRACT Growing use of the data generated via online social networking sites (SNS) for big data analytics renders the topic of information privacy as a critical concern and calls for a deeper investigation of individuals’ information privacy beliefs and behaviors. The primary goal of our research is to empirically test the effectiveness of the Miltgen and Peyrat-Guillard model in explaining the information privacy behavior of social network site users using a large-N sample from the European Union (EU). Results from the factor-based partial least squares - structural equation modeling (PLS-SEM) analysis provide partial support to this model. We elaborate on enhancements and discuss possible extensions to the model.","PeriodicalId":44332,"journal":{"name":"International Journal of Information Security and Privacy","volume":"13 1","pages":"238 - 259"},"PeriodicalIF":0.5000,"publicationDate":"2017-10-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Cultural and Generational Influences on Information Privacy Concerns within Online Social Networks: An Empirical Evaluation of the Miltgen and Peyrat-Guillard Model\",\"authors\":\"Faruk Arslan, Niharika Dayyala\",\"doi\":\"10.1080/15536548.2017.1412114\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"ABSTRACT Growing use of the data generated via online social networking sites (SNS) for big data analytics renders the topic of information privacy as a critical concern and calls for a deeper investigation of individuals’ information privacy beliefs and behaviors. The primary goal of our research is to empirically test the effectiveness of the Miltgen and Peyrat-Guillard model in explaining the information privacy behavior of social network site users using a large-N sample from the European Union (EU). Results from the factor-based partial least squares - structural equation modeling (PLS-SEM) analysis provide partial support to this model. We elaborate on enhancements and discuss possible extensions to the model.\",\"PeriodicalId\":44332,\"journal\":{\"name\":\"International Journal of Information Security and Privacy\",\"volume\":\"13 1\",\"pages\":\"238 - 259\"},\"PeriodicalIF\":0.5000,\"publicationDate\":\"2017-10-02\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Journal of Information Security and Privacy\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1080/15536548.2017.1412114\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"COMPUTER SCIENCE, SOFTWARE ENGINEERING\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Information Security and Privacy","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1080/15536548.2017.1412114","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"COMPUTER SCIENCE, SOFTWARE ENGINEERING","Score":null,"Total":0}
Cultural and Generational Influences on Information Privacy Concerns within Online Social Networks: An Empirical Evaluation of the Miltgen and Peyrat-Guillard Model
ABSTRACT Growing use of the data generated via online social networking sites (SNS) for big data analytics renders the topic of information privacy as a critical concern and calls for a deeper investigation of individuals’ information privacy beliefs and behaviors. The primary goal of our research is to empirically test the effectiveness of the Miltgen and Peyrat-Guillard model in explaining the information privacy behavior of social network site users using a large-N sample from the European Union (EU). Results from the factor-based partial least squares - structural equation modeling (PLS-SEM) analysis provide partial support to this model. We elaborate on enhancements and discuss possible extensions to the model.
期刊介绍：
As information technology and the Internet become more and more ubiquitous and pervasive in our daily lives, there is an essential need for a more thorough understanding of information security and privacy issues and concerns. The International Journal of Information Security and Privacy (IJISP) creates and fosters a forum where research in the theory and practice of information security and privacy is advanced. IJISP publishes high quality papers dealing with a wide range of issues, ranging from technical, legal, regulatory, organizational, managerial, cultural, ethical and human aspects of information security and privacy, through a balanced mix of theoretical and empirical research articles, case studies, book reviews, tutorials, and editorials. This journal encourages submission of manuscripts that present research frameworks, methods, methodologies, theory development and validation, case studies, simulation results and analysis, technological architectures, infrastructure issues in design, and implementation and maintenance of secure and privacy preserving initiatives.
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