The Determinants of Continued Use of Hospital Information Systems Based on the Combination of Elaboration Likelihood, Social Influence Theory and Cognitive Response Model

Predicting factors affecting the acceptance of information systems using persuasive processes is of the important subjects that has seen little attention. This study aimed to investigate the interrelationships between credibility of message source, argument quality, informational and normative social influence, affective and cognitive responses, self-efficacy, and nurses’ intention with continued use of hospital information systems. To this end, elaboration likelihood, social influence theory, and cognitive response models were applied.
In this applied and cross-sectional study, the data was gathered using a questionnaire with verified reliability and validity based on expert's opinions and computation of Cronbach’s alpha coefficient of 0.91, respectively. The questionnaire was distributed among 600 information-system users in nursing staff of hospitals affiliated to medical universities in Iran who interacted with health information systems in every shift work in 2015. Finally, 531 questionnaires were returned and were useable. For data analysis, the structural equation modeling was used with the help of LISREL8.5 software.
Based on the relationship between models, it was determined that 39% of intention of repeated use could be predicted by using variables (P = 0.01). Regarding direct and indirect effects of independent variables on dependent variables, it was determined that self-efficacy had the most effect on intention of repeated use (0.620).
According to the finding of this study, using persuasive processes along with research models can increase the probability of acceptance of health information system by users.