Intention to Collaborate: Investigating Online Collaboration in Virtual Teams

The emergence of online tools supporting collaboration has allowed more people to work together online. Virtual team members are expected to collaborate in order to solve predefined problems. Several factors influence a virtual team member intention to collaborate. In this paper, a conceptual model and a measurement scale are derived from previous literature on online collaboration and virtual teams and have been pretested to refine the derived scale items. The scale under development makes important contributions to both research and practice. For research, it will provide a validated scale to measure intention to collaborate, which will support further research in this field. For practice, it will help identify what contributes to a team member\u27s intention to collaborate; this can assist practitioners in establishing virtual teams within their organizations

Online Video Reviews Helpfulness: Exploratory Study

Online reviews assist consumers in making an informed purchase decision and they became a trusted source for product information. This study aims to investigate online video reviews on YouTube to understand what are the most commonly reviewed products and what are the factors of YouTube video reviews which contribute to review helpfulness. We use qualitative and quantitative techniques as research methodologies. The results show that major categories reviewed on YouTube are video games, movies, and technology. Exploratory factor analysis revealed four important factors that may determine online video review helpfulness which are review popularity, comments, video information, and review depth. A conceptual model is introduced based on the factor analysis. The study has significant implications to research as it provides new insights regarding the role of online video reviews in purchases decision making process

Increasing the Effectiveness of Clinical Practices with Health Informatics: Systematic Literature Review

Healthcare informatics involves different areas and activities like data collection, data analysis, and knowledge sharing among health care professionals. Healthcare Informatics scholars have been contending that the advancement in the discipline can enable healthcare professionals to provide better care to patients and the public. The current study goal is to identify the effectiveness of health informatics in improving clinical nursing practice from recent literature. We followed the systematic literature review by reviewing research papers published in the period between 2009 until 2019. The extracted data showed that there are four main themes of the nursing practices that are affected positively by the implementation of healthcare informatics. Namely, they are promoting quality of healthcare, improving electronic documentation of nursing practice, improving technological competencies and leadership practices, and improving clinical decision making. We discuss the findings and identify gaps to better direct future research in this area

Data Mining Algorithms Predicting Different Types of Cancer: Integrative Literature Review

Based on the World Health Organization, cancer is the second leading cause of death globally and is responsible for an estimated 9.6 million deaths in 2018. Globally, about 1 in 6 deaths is due to cancer, and approximately 70% of deaths from cancer occur in low and middle-income countries. with accelerating developments in technologies and the digitization of healthcare, a lot of cancer\u27s data have been collected, and multiple cancer repositories have been created as a result. cancer has become a data-intensive area of research over the last decade. A large number of researchers have used data mining algorithms in predicting different types of cancer to reduce the cost of tests used to predict different types of cancer, especially in low and middle-income countries. This paper reports on a systematic examination of the literature on data mining algorithms predicting different types of cancer through which we provide a thorough review, analysis, and synthesis of research published in the past 10 years. We follow the systematic literature review methodology to examine theories, problems, methodologies, and major findings of related studies on data mining algorithms predicting cancer that were published between 2009 and 2019. Using thematic analysis, we develop a research taxonomy that summarizes the main algorithms used in the existing research in the field, and we identify the most used data mining algorithms in predicting different types of cancer. In addition, to data mining algorithms used in predicting each type of cancer, as mentioned in the reviewed studies. We also identify the most popular types of cancer that researchers tackled using predictive analytics

The Impact of Speech Recognition Systems on The Productivity and The Workflow in Radiology Departments: A Systematic Review

Speech Recognition dictation systems are becoming more popular and provide a viable alternative to conventional transcription services. On the other hand, there is a scarcity in the studies that address the impact of speech recognition on productivity and the workflow in the radiology department. To review the most updated literature in the past 10 years regarding the effects of Speech Recognition systems on the productivity and workflow of radiology departments. A systematic literature review was done using PRISMA, including 14 articles in total, and they were divided into four main themes. The finding confirmed the positive effect of Speech Recognition on departmental productivity, with decreased report turnaround time and an increase in the number of reports available per unit of time

The factors that impact the adoption and Usage of Telemedicine in Chronic Diseases: Systematic Review

Chronic diseases are one of the most common diseases that pertain to a large number of people. Most people suffer from one or more chronic diseases, such as diabetes, heart failure, rheumatoid arthritis, cancer, and others. According to a recent statistic, 9% of Jordanian have at least one type of chronic disease; it is a high percentage for a country of limited resources. Chronic diseases are costly to manage; the cost is not only associated with the treatment alone but also to monitoring patients, healthcare professionals labor, and continuous lab testing. During the past few years, the world witnessed a significant increase in the number of mobile Health users. This increase also translated into an increase in using Telehealth services. This paper aims to conduct a systematic literature review of the different adoption factors of Telemedicine for chronic diseases. We provide an analysis and a synthesis of recently published research in the past ten years. We follow the methodological literature review proposed by Ramey and Rao to examine and extract related scholarly work. By providing a thematic analysis of relevant literature, we classify the current research into the main themes of the Telehealth in the chronic field. We also develop a taxonomy of positive and negative factors that influence Telehealth. We also highlight the main limitations and gaps in the literature to guide future research

The effect of using programmed education on the academic achievement of the higher basic stage students in science in Jordan

This study aims to investigate the effect of using programmed instruction on the achievement of middle school students in science. To achieve this aim, learning software for a unit that is entitled: The Cell for the seventh grade\u27s students was developed, and an achievement test consisted of 30 questions was designed. A Purposive sample of 72 Jordanian public school students have been assigned as the experimental group consists of 36 students, who are taught by programmed instruction, and the control group consists of 36 students, who are taught by traditional method during the first semester of the scholastic year 2016/2017. The findings of the study reveal that there is a significant statistical difference in students \u27 achievement in science between the experimental and control groups, and this statistical difference is attributed to the teaching method (Programmed Instruction, Traditional) in favor of programmed instruction. The implications of this study suggest: encouraging the teachers of science to utilizing the programmed instruction in teaching, training the teachers of science to prepare educational software, and examining of the effect of programmed Instruction in other subjects of science