• Marva Mirabolghasemi Faculty of Management, Islamic Azad University of Lahijan, Lahijan, Iran
  • Noorminshah A. Iahad Faculty of Computing, Universiti Teknologi Malaysia, 81310, UTM Johor Bahru, Johor, Malaysia



Health 2.0, Patient 2.0, Self-efficacy, Social Network, Task Person Technology Fit


Social network communities that provide information about cancer offer environments in which cancer patients can interact, and access information related to the disease, its treatment and its survivorship. Current research into the assessment of cancer patients‟ performance in the use of Social Network Sites (SNS) continues to be limited, despite SNS potential to serve as a platform for providing cancer information. To investigate the factors that influence the performance of cancer patients in using SNS, this study utilizes the use of a Task Person Technology Fit (TPTF) Model. Questionnaires were distributed to 178 respondents in two hospitals and four cancer support groups in Peninsular Malaysia, using purposive sampling. Data was analysed through the use of Smart PLS 2.0 M3. The results indicated that the performance of cancer patients in using SNS has been determined directly by the fit between self-efficacy and the characteristics of task and technology.


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