Exploring the influence of security/privacy, trialability, output quality and anxiety on the adoption of mobile decision support systems among nurses: a developing country context

Nursing staff need to be highly mobile in executing their routine work. Therefore, they may need to catch, deliver and/or receive critical information, orders or alerts via mobile devices at any point of care to help them take immediate decisions/actions or orders to accomplish their tasks quickly. This paper investigates the factors that affect the adoption of mobile decision support systems among nurses in Jordan. Experience and voluntariness as moderators in the proposed model were also investigated. The model was analysed and tested using WarpPLS 5.0 software. The findings of this study have demonstrated that perceived usefulness, perceived ease-of-use, security/privacy, trialability, output quality, and anxiety are important constructs in predicting and affecting intentional behaviour to adopt decision support systems among nurses in Jordan. The model has explained 65% of the variance in behavioural intention. Theoretical contributions and practical implications are outlined. Limitations and suggestions for future studies are discussed.