Social Media Adoption by Health Professionals: A TAM-Based Study

Irfan Khan, Abu Saleh, Ali M. Quazi

Research output: Contribution to journalArticlepeer-review

15 Citations (Scopus)
54 Downloads (Pure)

Abstract

This research identifies the underlying drivers impacting on healthcare professionals’ social media usage behaviours using the technology acceptance model (TAM) as the theoretical lens. A self-administered survey questionnaire was developed and administered to 219 healthcare professionals. Data are analysed applying the structural equation modelling (SEM) technique. The SEM model demonstrated an acceptable model fit (χ2 = 534.241; df, 239, χ2/df = 2.235, RMSEA = 0.06, IFI = 0.92, TLI = 0.93, and CFI = 0.92) and indicates content quality, perceived risk, perceived credibility, peer influence, confirmation of expectations, supporting conditions, and perceived cost significantly influence the notion of perceived social media usefulness. Furthermore, perceived social media usefulness positively affects social media usage behaviour of healthcare professionals. This research generates important insights into what drives the adoption of social media by healthcare professionals. These insights could help develop social media guidelines and strategies to improve the state of professional interactions between health professionals and their clients.
Original languageEnglish
Article number6
Pages (from-to)1-17
Number of pages17
JournalInformatics
Volume8
Issue number1
DOIs
Publication statusPublished - Mar 2021

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