Hafizh Rafizal Adnan, Achmad Nizar Hidayanto, Christie Vithasa Immanuel Kassan, Albert Christian Bagun, Ilham Pamungkas Nasution, Samuel, Ervi Cofryanti
{"title":"社交媒体用户对Instagram健康信息推荐的接受度:一个交互记忆系统的视角","authors":"Hafizh Rafizal Adnan, Achmad Nizar Hidayanto, Christie Vithasa Immanuel Kassan, Albert Christian Bagun, Ilham Pamungkas Nasution, Samuel, Ervi Cofryanti","doi":"10.1109/ICIC50835.2020.9288529","DOIUrl":null,"url":null,"abstract":"Social media revolutionize to exchange of health information. People can easily share and seek information to help them in diagnosing and curing disease. Many scholars have also explored the health information exchange. However, little research focuses on what drives people to adopt health information or recommendation on social media, specifically Instagram. This research explores the phenomenon by utilizing a transactive memory system (TMS) as the primary theoretical lenses. A quantitative survey and analysis were conducted to test several hypotheses developed regarding the phenomenon. The findings showed that social media user acceptance of health information/recommendation was mostly influenced by the communication quality and the credibility of the information. This study also found that communication quality was influenced by two TMS components: specialization and credibility. Furthermore, formal communication was also found to be more influential as the input of TMS compared to informal communication. The implication of the findings is also discussed.","PeriodicalId":413610,"journal":{"name":"2020 Fifth International Conference on Informatics and Computing (ICIC)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-11-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Social Media User Acceptance on Instagram Health Information Recommendation: A Transactive Memory System Perspective\",\"authors\":\"Hafizh Rafizal Adnan, Achmad Nizar Hidayanto, Christie Vithasa Immanuel Kassan, Albert Christian Bagun, Ilham Pamungkas Nasution, Samuel, Ervi Cofryanti\",\"doi\":\"10.1109/ICIC50835.2020.9288529\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Social media revolutionize to exchange of health information. People can easily share and seek information to help them in diagnosing and curing disease. Many scholars have also explored the health information exchange. However, little research focuses on what drives people to adopt health information or recommendation on social media, specifically Instagram. This research explores the phenomenon by utilizing a transactive memory system (TMS) as the primary theoretical lenses. A quantitative survey and analysis were conducted to test several hypotheses developed regarding the phenomenon. The findings showed that social media user acceptance of health information/recommendation was mostly influenced by the communication quality and the credibility of the information. This study also found that communication quality was influenced by two TMS components: specialization and credibility. Furthermore, formal communication was also found to be more influential as the input of TMS compared to informal communication. The implication of the findings is also discussed.\",\"PeriodicalId\":413610,\"journal\":{\"name\":\"2020 Fifth International Conference on Informatics and Computing (ICIC)\",\"volume\":\"18 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-11-03\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2020 Fifth International Conference on Informatics and Computing (ICIC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICIC50835.2020.9288529\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 Fifth International Conference on Informatics and Computing (ICIC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICIC50835.2020.9288529","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Social Media User Acceptance on Instagram Health Information Recommendation: A Transactive Memory System Perspective
Social media revolutionize to exchange of health information. People can easily share and seek information to help them in diagnosing and curing disease. Many scholars have also explored the health information exchange. However, little research focuses on what drives people to adopt health information or recommendation on social media, specifically Instagram. This research explores the phenomenon by utilizing a transactive memory system (TMS) as the primary theoretical lenses. A quantitative survey and analysis were conducted to test several hypotheses developed regarding the phenomenon. The findings showed that social media user acceptance of health information/recommendation was mostly influenced by the communication quality and the credibility of the information. This study also found that communication quality was influenced by two TMS components: specialization and credibility. Furthermore, formal communication was also found to be more influential as the input of TMS compared to informal communication. The implication of the findings is also discussed.