The purpose of this study is to examine the different factors that are expected to influence the intention of hospitals to adopt cloud computing in Jordan. This study is conducted using quatititative methodology. 223 questionnaires were distributed to the IT departments of different hospitals to evaluate their ability and willingness to adopt cloud computing. The data were tested using multiple regression in order to determine whether Technology, Organizational, and Environmental factors (TOE) played a role in hospitals' decision to consider cloud computing as a beneficial investment. The findings of this study showed that all the factors had a significant positive impact on the intention of hospitals to adopt cloud computing, with the Technological factor having the most impact on the decision made.

The Sentimental Analysis (SA) is a widely known and used technique in the natural language processing realm. It is often used in determining the sentiment of a text. It can be used to perform social media analytics. This study sought to compare two algorithms; Logistic Regression, and Support Vector Machine (SVM) using Microsoft Azure Machine Learning. This was demonstrated by performing a series of experiments on three Twitter datasets (TD). Accordingly, data was sourced from Twitter a microblogging platform. Data were obtained in the form of individuals' opinions, image, views, and twits from Twitter. Azure cloud-based sentiment analytics models were created based on the two algorithms. This work was extended with more in-depth analysis from another Master research conducted lately. Results confirmed that Microsoft Azure ML platform can be used to build effective SA models that can be used to perform data analytics.

Abstract-The purpose of this study is to evaluate the effectiveness of blended learning on the academic achievement of students in the University of Jordan. To gain in depth understanding of the phenomena under investigation, survey method is employed to collect natural data. For the sake of respondent convince all the questions asked in this survey are directed in Arabic language. Conventional sampling technique is employed due to the subjectivity of the issue. A sample of (427) students from King Abdulla II School for Information Technology at Jordan University are randomly selected. SPSS10 software is used to make statistical analysis. The robust checks of the result are made through arithmetic average, standard deviation statistics and Pearson correlation matrix. Statistical results of the study report that there is a significant and positive impact of blended learning on academic achievement of the students in university of Jordan.

E-training is considered nowadays as a very important issue for business organization because of the benefits it can bring. Unfortunately, e-training is not fit well in most of Jordanian organization. In order to implement e-training successfully in an organization, you need the right people at the right place using the right resources. Furthermore, it is essential to measure the organization’s acceptance for the new e-training system before implementing it in order to gain its full potential. This research proposes a model to measure an organization’s acceptance for a new e-training system. This model has been developed from various previous studies and then it has been tested using quantitative methods (Questionnaire). The studied factors which are believed to affect the e-training acceptance are: System Functionality, Finance Resources and Human capabilities

Cloud computing is a set of Information Technology services offered to users over the web on a rented base. Such services enable the organizations to scale-up or scale-down their in-house foundations. Generally, cloud services are provided by a third-party supplier who possesses the arrangement. Cloud computing has many advantages such as flexibility, efficiency, scalability, integration, and capital reduction. Moreover, it provides an advanced virtual space for organizations to deploy their applications or run their operations. With disregard to the possible benefits of cloud computing services, the organizations are reluctant to invest in cloud computing mainly due to security concerns. Security is one of the main challenges that hinder the growth of cloud computing. At the same time, service providers strive to reduce the risks over the clouds and increase their reliability in order to build mutual trust between them and the cloud customers. Various security issues and challenges are discussed in this research, and possible opportunities are stated.

The term "customer churn" is used in the industry of information and communication technology (ICT) to indicate those customers who are about to leave for a new competitor, or end their subscription. Predicting this behavior is very important for real life market and competition, and it is essential to manage it. In this paper, three hybrid models are investigated to develop an accurate and efficient churn prediction model. The three models are based on two phases; the clustering phase and the prediction phase. In the first phase, customer data is filtered. The second phase predicts the customer behavior. The first model investigates the k-means algorithm for data filtering, and Multilayer Perceptron Artificial Neural Networks (MLP-ANN) for prediction. The second model uses hierarchical clustering with MLP-ANN. The third one uses self organizing maps (SOM) with MLP-ANN. The three models are developed based on real data then the accuracy and churn rate values are calculated and compared. The comparison with the other models shows that the three hybrid models outperformed single common models.

World wide web has offered a strong competitive platform for online marketing which turned out the online shopping important for consumers in todayâ??s world particularly those consumers which view the online reviews as effectual conduit of having important product information prior to purchasing decisions. However, the current study attempts to find the impact of online consumer reviews on buying intention of consumers in the context of UK with need for cognition as the mediating role on the basis of elaboration likelihood model developed in 2011. This study followed positivist research philosophy by using quantitative data from 120 consumers in UK who shop online. In conclusion, the current study demonstrated that the buying intention of online consumer who has high cognitive needs was affected by quality of online review or argument as compare to quantity of online argument or reviews. Furthermore, the buying intentions of online consumers with low cognitive need were affected by quantity of rather than quality of arguments. Therefore, hypothesis of current were supported.

E-government aims to offer services the countrys' communities both in public or private sectors by using the ICT tools to reduce the cost and times by eradication of manifestations of routines and bureaucracy. All countries around the world are seeking to implement and diffuse e-government services, especially the developing countries, and to do that they have to overcome a range of factors that prevent the effective implementation of e-government in the countries. This paper discusses and analyzes E-government topics and revolves around the most important factors behind the success of this program, and tries to analyze and study the E-government program in Finland as a developed country, and Saudi Arabia as a developing one. It aims to find out the most important strategies that have been used to overcome the challenges; these factors & strategies, including such as infrastructure, technical, social, political and cultural in order to study some of these factors in each of them and try to make a comparison between to contribute to the success of the program in other developing countries, as well as to beneficial from developed country's experiences in this field. The reason behind selecting Finland and Saudi Arabia is the qualitative leap made by both of them, especially Saudi Arabia as a developing country and their success in the program with a record time