Social media user acceptance on instagram health information recommendation: A transactive memory system perspective

Hafizh Rafizal Adnan, Achmad Nizar Hidayanto, Christie Vithasa Immanuel Kassan, Albert Christian Bagun, Ilham Pamungkas Nasution, Samuel, Ervi Cofryanti

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

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.

Original languageEnglish
Title of host publication2020 5th International Conference on Informatics and Computing, ICIC 2020
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781728180472
DOIs
Publication statusPublished - 3 Nov 2020
Event5th International Conference on Informatics and Computing, ICIC 2020 - Virtual, Jakarta, Indonesia
Duration: 3 Nov 20204 Nov 2020

Publication series

Name2020 5th International Conference on Informatics and Computing, ICIC 2020

Conference

Conference5th International Conference on Informatics and Computing, ICIC 2020
Country/TerritoryIndonesia
CityVirtual, Jakarta
Period3/11/204/11/20

Keywords

  • Health information sharing
  • Partial least squares
  • Transactive memory

Fingerprint

Dive into the research topics of 'Social media user acceptance on instagram health information recommendation: A transactive memory system perspective'. Together they form a unique fingerprint.

Cite this