Today, many hospitals seek to adopt the latest and most sophisticated technologies in order to raise the service quality and users' satisfaction. The Electronic Health Record (EHR) had a substantial impact on the health sector and has enhanced the efficiency and effectiveness of healthcare providers. The purpose of this research is to examine the factors that affect users' satisfaction with the current Health Record System in the Kingdom of Bahrain. A research model was built based on three popular models of users' satisfaction toward information systems. Toward achieving the research objective, a quantitative approach was followed to collect data from an online survey. Accordingly, 152 responses were collected from the users of EHR in public hospitals and health centres in Bahrain. The results of the survey were analyzed using SPSS and SmartPLS 3.0. It was concluded that the most effective factors in the users' satisfaction with EHR were directly service quality and technical support, with system and information quality indirectly through trust.
Today, many hospitals seek to adopt the latest and most sophisticated technologies in order to raise the service quality and users' satisfaction. The Electronic Health Record (EHR) had a substantial impact on the health sector and has enhanced the efficiency and effectiveness of healthcare providers. The purpose of this research is to examine the factors that affect users' satisfaction with the current Health Record System in the Kingdom of Bahrain. A research model was built based on three popular models of users' satisfaction toward information systems. Toward achieving the research objective, a quantitative approach was followed to collect data from an online survey. Accordingly, 152 responses were collected from the users of EHR in public hospitals and health centres in Bahrain. The results of the survey were analyzed using SPSS and SmartPLS 3.0. It was concluded that the most effective factors in the users' satisfaction with EHR were directly service quality and technical support, with system and information quality indirectly through trust.
The proliferating demands of consumers today have sparked the need for ECRM, leveraging the technological advancements in MIS and its applications. This chapter elaborates tracking and maintaining ECRM by means of big data analytics tools and artificial intelligence algorithms. It elucidates the predictions and forecasts a business makes based on consumer behaviour. The chapter further delves into the various avenues of artificial intelligence (AI). The taxonomy of AI is explained, and its decision making capability is applied to design and simulate effective SCM systems. Various AI methods are holistically applied to the FMCG supply chain context. In this chapter, the role of big data analytics in aiding the enterprises to maintain ECRM by studying consumer preferences and choices is explored, further advancing into its applications in maintaining FMCG supply chain. This research report provides the various methods of AI used in supply chain and the data analytics tools employed in maintaining ECRM and the FMCG supply chain.
Previous studies showed a different results of total quality management factors and its effect on organization performance. The main objective of this study is to investigated the effect of total quality management on organization performance. The population of this study included different level of employment at Bahrain Airport Services, convenience sampling used in this research. The researcher has used five point Likert in the questionnaire SPSS software version 23.0 used for data analysis. This study decided on leadership, training, continuous improvement and strategic quality planning as total quality management factors based on literature review. It also included multiple organization performance measures; operation performance, employee performance, innovation performance and social responsibility as organization performance. The study found that overall total quality management practices have a significant effect on organization performance.
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