{"title":"User’s Intentions in Health Information Exchange in Social Media","authors":"Atikah Zahrah Halim, P. W. Handayani, A. Pinem","doi":"10.1109/ICACSIS47736.2019.8979731","DOIUrl":null,"url":null,"abstract":"The activity of exchanging information on social media has become widespread and more open in Indonesia with the increasing number of Internet users. This study analyzes the factors that influence users to exchange information related to health on social media, and users’ intention to implement or use information that has been obtained. This study used quantitative methods and an online questionnaire for data collection. There were 1,456 respondents, who had searched for and shared health information on social media. The collected data were analyzed by Partial Least Squares Structural Equation Modeling (PLS-SEM) using SmartPLS 3.0 tools. This study found that the outcome of the expectation of social relationship did not affect health information usage intention, and human-to-human interaction did not affect health information exchange.","PeriodicalId":165090,"journal":{"name":"2019 International Conference on Advanced Computer Science and information Systems (ICACSIS)","volume":"603 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 International Conference on Advanced Computer Science and information Systems (ICACSIS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICACSIS47736.2019.8979731","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
The activity of exchanging information on social media has become widespread and more open in Indonesia with the increasing number of Internet users. This study analyzes the factors that influence users to exchange information related to health on social media, and users’ intention to implement or use information that has been obtained. This study used quantitative methods and an online questionnaire for data collection. There were 1,456 respondents, who had searched for and shared health information on social media. The collected data were analyzed by Partial Least Squares Structural Equation Modeling (PLS-SEM) using SmartPLS 3.0 tools. This study found that the outcome of the expectation of social relationship did not affect health information usage intention, and human-to-human interaction did not affect health information exchange.