Factors Influencing the Adoption of E-Learning in Jordan: an Extended TAM Model

This study examines the factors contributing to attitudes towards E-Learning in higher education among students in Jordan. The research developed a TAM-EL (Technology Acceptance Model for E-learning) for predicting the intention to adopt E-Learning using the constructs of the Technology Acceptance Model (TAM). TAM-EL proposes that Perception of usefulness of technology, Perception of ease of use of the technology, Patronised (degree of support for the technology), and Practised (previous experience with the technology) influence attitude towards the adoption of E-Learning. Data was collected from 380 undergraduate students to test the model. Factor analysis and confirmatory factor analysis were used to validate the instrument, however; the partial least square method was used to test the model for the study, moreover; stepwise regression analysis were used to test the hypotheses of the study. The findings indicate that students have an important role as stakeholders in the adoption of E-Learning in Jordan. While the variable of Attitude contributes to approximately 57% of the variance in the Prediction of E-Learning, the variable of Patronised contributes only approximately 28% of the variance in the Prediction of E-Learning. Moreover, the findings show an obvious recommendation is the need to engage users in a more determined manner. Keywords: E-Learning; Technology Acceptance Model for E-Learning (TAM-EL); Perception; Patronised; Practised

Designing an adaptive online advertisement system : a focus group methodology

Human Computer Interaction systems have access to the valuable resource of information that can be collected directly from users of these systems and services. This idea has become a part of the design process for systems that touch users’ perceptions - here, in the field of online advertising and marketing. This research paper discusses a revisited design for an adaptive online advertisement system called MyAds. The methodological approach used for proposing a new design was the focus group methodology, due to the fact that it produces concrete ideas that are needed at this stage of the research. The main outcomes of the experiment agreed on using Amazon as a motivational blueprint for the new design and generated a list of requirements from users, in order for their acceptance level of personalised online advertisements to increase

Towards service integration in electronic government implementations

Service integration is one of the most critical issues affecting electronic government implementations all over the world. Providing integrated services to citizens, businesses, and all other stakeholders involved in electronic government activities at "one stop portal" is considered to be a big opportunity for governments to improve their services’ efficiency and effectiveness. This paper aims to provide a general background and theoretical foundation towards understanding the role of service integration and its importance in electronic government implementations in order to achieve the main aims and objectives of electronic government programs all over the globe by conducting a comprehensive literature review on electronic government, in general, and the issue of service integration in particular. The paper has shed a new light on the main concepts,definitions, characteristics, interactions, models, objectives, benefits, challenges and analytical bases for the topic. As a result, a model that is suggesting a set of key factors to accomplish service integration in electronic government implementations and clarifying the importance of service integration in electronic government implementations is proposed. The main contribution of the paper is to build a good understanding of the nature and role of service integration in electronic government implementations and to establish a foundation for further research in this domain. Keywords : E-government implementation; Service integration; Maturity models; One stop portal; Pillars; Critical factor

Importance of service integration in e-government implementations

Service integration is one of the most critical issues affecting e-government implementations all over the world. Providing integrated services to citizens, businesses, and all other stakeholders involved in e-government at "one stop portal" is considered to be a big opportunity for governments to improve their services’ efficiency and effectiveness. This paper aims to provide a general background and theoretical foundation towards understanding the importance of service integration in egovernment implementations. To achieve this aim, a comprehensive literature review on e-government, in general, and service integration issue in particular, has been conducted. The paper has shed a new light on the main concepts, definitions, objectives, benefits, challenges, explanations and analytical bases for the topic. As a result of the comprehensive literature review, a model that clarifies the importance of service integration in egovernment implementations is proposed

Multi-Stakeholder Enquiry For Securing E-Business Environments: A Socio-Technical Security Framework

EThOS - Electronic Theses Online ServiceGBUnited Kingdo

Multi-Stakeholder Enquiry For Securing E-Business Environments: A Socio-Technical Security Framework

EThOS - Electronic Theses Online ServiceGBUnited Kingdo

Violence Detection over Online Social Networks: An Arabic Sentiment Analysis Approach

Today, the influence of the social media on different aspects of our lives is increasing, many scholars from various disciplines and majors looking at the social media networks as the ongoing revolution. In Social media networks, many bonds and connections can be established whether being direct or indirect ties. In fact, Social networks are used not only by people but also by companies. People usually create their own profiles and join communities to discuss different common issues that they have interest in. On the other hand, companies also can create their virtual presence on the social media networks to benefit from this media to understand the customers and gather richer information about them. With all of the benefits and advantages of social media networks, they should not always be seen as a safe place for communicating, sharing information and ideas, and establishing virtual communities. These information and ideas could carry with them hatred speeches that must be detected to avoid raising violence. Therefore, web content mining can be used to handle this issue. Web content mining is gaining more concern because of its importance for many businesses and institutions.  Sentiment Analysis (SA) is an important sub-area of web content mining.  The purpose of SA is to determine the overall sentiment attitude of writer towards a specific entity and classify these opinions automatically. There are two main approaches to build systems of sentiment analysis: the machine learning approach and the lexicon-based approach. This research presents the design and implementation for violence detection over social media using machine learning approach. Our system works on Jordanian Arabic dialect instead of Modern Standard Arabic (MSA). The data was collected from two popular social media websites (Facebook, Twitter) and has used native speakers to annotate the data. Moreover, different preprocessing techniques have been used to show their effect on our model accuracy. The Arabic lexicon was used for generating feature vectors and separate them to features set. Here, we have three well known machine learning algorithms: Support Vector Machine (SVM), Naive Bayes (NB) and k-Nearest Neighbors (KNN). Building on this view, Information Science Research Institute’s (ISRI) stemming and stop word file as a result of preprocessing were used to extract the features. Indeed, several features have been extracted; however, using the SVM classifier reveals that unigram and features extracted from lexicon are characterized by the highest accuracy to detect violence