This paper seeks to explore factors that determine the acceptance of the MHealth application patients. The research relied on (UTAUT2) Unified Theory of Acceptance and Use of Technology to assess the level of acceptance of a new mobile health application by patients. The study involved conducting test surveys across medical hospitals in Jordan with the goal of collecting data from hospital visitors and their patients concerning their intention to use the new mobile health application. 98 questionnaires were collected and 44 valid responses drawn from them for onward data analysis. The UTAUT2 research model was the most appropriate one for conducting the evaluation on MHealth's user acceptance. Its results would support the government's goal of building m-health solutions that meet user needs. The model also enhances the roles of DSS in facilitating adoption of MHealth applications. This study provides a theoretical framework for pursuing future research work on the rates of adoption of m-health applications by patients.

The new age of mobile health is accompanied with wider implementation of ubiquitous and pervasive mobile communication and computing, that in turn, has brought enormous opportunities for organizations and governments to reconsider their healthcare concept. Alongside, the global process of urbanization signifies a daunting test and attracts the expert concentration towards towns that can obtain significant high populations and service people in a human and efficient approach. The consistent need of these two trends led to evolution of the concept of smart cities plus mobile healthcare. The given article is intended to provide an overview of smart health, explained to be context-aware that is accompanied by mobile health within the smart cities. The purpose of the article is to offer a standpoint on the main fields of research and knowledge explained in the procedure of establishment of the new idea. Furthermore, the article will also focus on major opportunities and challenges that are implied by s-health and will offer a common opportunity for future research.

The goal of this study was to develop and use a questionnaire in order to analyse the effects of eHealth apps on patient care using Jordanian population. A two-stage cross-sectional research was conducted. A questionnaire was developed in the beginning to evaluate its consistency and legitimacy using Cronbach’s alpha coefficient, a multitrait connection atmosphere; the multivariate technique is component examination. In the study’s another phase, correlation and regression are used to determine the influence of eHealth apps on patient care. The five major axes of the final surveys were healthcare efficiency, teaching, notices, consultation, and follow-up. Individuals from diverse demographic aspects, such as gender, age, job experience, and education level, have no differing perspectives on cell phone use in their amenities, according to a staff’s viewpoint evaluation. In general, mobile health applications had a good influence on health services and healthcare, which would be an important setting for the operative use of mobile headphones in public policy; such a background would affect in workers’ intents to practice and adopt mHealth.

The study aimed at exploring the impact of three smart innovative solutions, i.e., Internet-of-Things, Big Data Analytics, and Cloud Computing on supply chain performance. Collecting data by questionnaires administered to a sample consists of supply chain managers of industrial firms. The results pointed out that these three smart solutions significantly and positively lift firms’ supply chain performance. That is, the hypotheses that Internet-of-Things, Big Data Analytics, and Cloud Computing have significant impacts on supply chain performance were supported. Therefore, the study concluded that for industrial firms to improve supply chain performance, such smart solutions should be assessed and applied. The study contributes to both academics and practitioners through providing empirical results on concurrent impacts of three advanced technologies in supply chain management context.

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