This study aims to develop a framework for the factors that in luence the adoption of Information Communication Technology (ICT) in Saudi Universities.COVID-19 pandemic quickly led to the closure of universities and colleges worldwide. The provision and usage of E-Learning, Learning Management System (LMS), Blackboard, and other online education platforms are becoming the main challenge for many universities during this pandemic. The needed to fast delivery of knowledge and information, anytime and anywhere, a catalyst factor for the growth of E-Learning worldwide. E-Learning system has several great features that would be valuable for use during this pandemic was changed the way of teaching and learning takes place in educational institutions. However, some barriers in luence the use of this technology. This study employed a systematic analysis review of the relevant literature published between 2005 and 2020 to determine the signi icant contexts that affect the Adoption of LMS. The methodology adopted was the searching of scholarly databases. Following the criteria established for collecting this data, studies were reviewed and included in the review. As a result, this study attempts to review and analyze surveys that have investigated the critical internal and external obstacles to educational members' use of Technology in Saudi universities to improve ICT adoption in Saudi Universities.

Technology acceptance model (TAM) used to enhance understanding of technology acceptance in the workplace as healthcare environment. The use of technology in the healthcare environment improves healthcare outcomes, control the healthcare data, improve collaboration and skills among healthcare staff and reduce organizational expenses. Recent literature studies done indicated lack of adoption of technology as the health information systems (HISs), this be affect on collaboration among healthcare staff this in turn affect on healthcare outcomes and medical research findings. This research attempts to address the aforementioned issues by applying the extended TAM based on relevant models. This research identifies success factors influencing the adoption of HISs in healthcare environment. This research employed the exploratory qualitative research method to collections the required data. Results of this study shows that factors such as data confidentiality "security and privacy" becoming more important in addition to current factors such as perceived usefulness, ease of use, quality” system and information". Beside to, privacy factor have   significantly   © 2018 JASET, International Scholars and Researchers Association Author Biographies Asmaa Hatem Rashid Department of Information Science , Faculty of Computer Science and IT, University of Malaya, Kuala Lampur, Malaysia Shady Gomaa Abdulaziz Department of Information Science , Faculty of Computer Science and IT, University of Malaya, Kuala Lampur,  Malaysia Norizan Binti Mohd Yasin Department of Information Science, Faculty of Computer Science and IT, University of Malaya,  Kuala Lampur, Malaysia

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The evolution and development of information technology have facilitated greater sharing of data and knowledge management for the collection of electronic information by data owners such as governments, corporations, and individuals. Therefore, they have created huge opportunities for knowledge management and information retrieval. Recent develoments have helped improve decision making especially in the fields of medical information, research, and public health organization, among others. Recently, the control and sharing of data or knowledge management has received notable attention in research communities. Many approaches have been proposed for different data publishing needs in different fields. The sharing of data needs control and management to ensure system integration. Integration is required especially in the management of patient data to secure sensitive information such as patient identification. Several studies have focused on the management of data in medical applications to ensure system integration. However, the management and sharing of data in different fields may result in misuse of information. Therefore, there is a need to build models or design certain algorithms to manage shared data efficiently and to avoid misuse. The goal is to ensure authenticity of the data system. In the present study, we systematically summarize and evaluate different approaches to control the sharing of data and knowledge management in order to ensure system integration. Moreover, we study the challenges in controlling the sharing of data and clarify the differences and conditions that distinguish the control of sharing of data from other related problems. Finally, we correspondingly propose future research directions in the conclusion.

Privacy preserving data publishing (PPDP) methods a new class of privacy preserving data mining (PPDM) technology, has been developed by the research community working on security and knowledge discovery. It is common to share data between two organizations in many application areas. When data are to be shared between parties, there could be some sensitive patterns which should not be disclosed to the other parties. These methods aims to keep the underlying data useful based on privacy preservation "utility based method based on privacy preservation, and created tremendous opportunities for knowledge-and information-based decision making. Recently, PPDP has received considerable attention in research communities, and many approaches have been proposed for different data publishing scenarios. In this survey, we will systematically summarize and evaluate different approaches to PPDP, study the challenges in practical data publishing, clarify the differences and requirements that distinguish PPDP from other related problems, and propose future research directions.