Enas Ismail Mohammad Samara’s scientific contributions

Electronic Health Records (EHR) are essential in modern healthcare, underpinning e-health initiatives. This study conducts a bibliometric analysis using VOSviewer software toanalyze data from the Scopus database. The examination of a vast array of 10,701 EHR-related documents from 1991 to 2023 aims to highlight the growth, current trends, and prospects for the future. This study observed a significant increase in EHR-related publications over the years, predominantly led by the United States, with substantial input from the United Kingdom, China, and India. In the Arab region, Saudi Arabia, Egypt, Jordan, the United Arab Emirates, Qatar, and Morocco are notable contributors, with institutions like King Saud University at the forefront of Arab academic research. Key terms such as EHR, machine learning, and blockchain dominate, indicating a focus on advanced technology in healthcare. The study also stresses the importance of addressing privacy, security, and patient safety in EHR research. This comprehensive examination is anticipated to make a significant impact on the field, providing a solid understanding of the role of EHR in healthcare and influencing future research and policymaking in this area.

The use of gaming approaches and their measurement has sparked numerous debates. Based on the gamification dimensions of marketing strategies, as well as building or developing new services, this study investigates the role of perceived gamification affordance dimensions on customer engagement elements of the Hospitality Industry in KSA. Using a cross-sectional design based on a quantitative approach, data were collected from a sample of 726 five-star hotel customers in the capital, Riyadh. Structural equation modeling (SEM) was applied to verify the research hypotheses. The results indicated that perceived gamification affordance dimensions, i.e., enjoyment, perceived usability, perceived usefulness, and perceived social influence, had a positive effect on customer engagement. Therefore, a set of recommendations has been provided to decision-makers in those hotels, including creating group loyalty programs that provide exclusive awards, badges, and advantages depending on visitor activities and involvement, offering a sense of development and achievement.

In a period where interest in Artificial Intelligence (AI) is rapidly increasing, there remains a notable research gap, especially in the context of AI adoption in Small and Medium Enterprises (SMEs). This study seeks to address this gap by investigating AI acceptance in Jordanian SMEs. Considering Jordan’s cultural environment of high uncertainty avoidance, the research focuses on the role of perceived trust on AI adoption. It utilizes the Stimulus-Organism-Response (S–O–R) framework in combination with the Technology Acceptance Model (TAM) to thoroughly examine these perceptions and their impact on acceptance factors. The study employs Structural Equation Modeling (SEM) to rigorously test its measurement and structural models. Its findings, which corroborate all proposed hypotheses, highlight the essential role of perceived trust in fostering a positive attitude towards AI among Jordanian SMEs.