This study seeks to validate a comprehensive model of academic researchers’ intention in the context of academic social networking sites (ASNSs). It uses the Unified Theory of Acceptance and Use of Technology (UTAUT) model with constructs of perceived security, perceived privacy, trust, attitude towards technology, and communication benefits as well as age, gender and experience as moderator variables. The survey results supported the positive relationships between the factors in the model, except effort expectancy, which had no significant effect on behavioural intention. However, the results of three moderator variables demonstrated that they had no significant effect on the adoption of ASNSs. The finding of this research will provide directions for ASNSs providers to support them in developing effective ASNSs for academic researchers.
In many countries, the health care sector is entering into a time of unprecedented change. Electronic Medical Record (EMR) has been introduced into healthcare organizations in order to incorporate better use of technology, to aid decision making, and to facilitate the search for medical solution. This needs those professionals in healthcare organizations to be in the process of changing from the use of paper to maintain medical records into computerized medical recordkeeping opportunities. However, the adoption of these electronic medical records systems has been slow throughout the healthcare field. The critical users are physicians which play an important role to success of health information technology including Electronic Medical Record systems. As a result user adoption is necessary in order to understand the benefits of an EMR. Therefore, in the current paper, a model of ranking factors of micro-level in EMRs adoption was developed. Surveys distributed to physicians as this study's respondent in two private hospitals in Malaysia. The findings indicate that physicians have a high perception means for the technology and showed that EMR would increase physician's performance regarding to decision making. They have been and continue to be positively motivated to adopt and use the system. The relevant factors according to micro-level perspective prioritized and ranked by using the Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS). The aim of ranking and using this approach is to investigate which factors are more important in EMRs adoption from the micro-level perspectives. The results of performing TOPSIS is as a novelty which assist health information systems (HIS) success and also healthcare organizations to motivate their users in accepting of new technology.
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