درخت حوزه‌های تخصصی

The purpose of this research is to explore the social media trend in communication in Kuwait by utilizing the technology acceptance model. Social media has been gaining extraordinary adoption in past years that requires further investigation into user’s adoption habits, the various kinds of social media, and its effect on their perceived usefulness and ease of use of social media. The study consists of a total of 250 participants that were asked to complete a questionnaire in a random sample. Important findings indicate that the highest number of participants uses Facebook, and the second highest number of participants use Twitter. In terms of usage habits, the highest number of participants uses social media for chatting and connecting with family and friends. The second highest number of participants uses social media for reading posts. In terms of perceived usefulness, the highest numbers of participants perceive social media as ‘usefulness’, and the second highest numbers of participants feel that ‘social media is faster’. In terms of perceived ease of use the highest numbers of participants feel that social media is an easy way to communicate, and the second highest numbers of participants feel that social media does not require a lot of effort. In terms of gender it has been evident that females feel higher perceived usefulness and perceived ease of use of social media than males. The study bears theoretical and practical implications that show TAM can be successfully applied to examine social media in the context of Kuwait population. Furthermore, results of this study can be further generalized to neighboring GCC countries as they share similar geographic, economic, cultural, and financial factors.

The objective of this research is to identify the technology of cloud computing in terms of its concept, its development, its objectives, its components, models, classifications, and the advantages of its use in the teaching process at the University of Samarra, as well as to identify the most important challenges and obstacles that teachers face in using University of Samarra. The researcher used the descriptive approach in his research. This research was carried out on an objective sample of 40 teaching staff members in the Department of Life Sciences and English at the Faculty of Education / Samarra University. A questionnaire consisting of 22 questions were used as a data collection tool, which included two axes: The first axis: the advantages of using cloud computing technology in the process of teaching at the University of Samarra. The second axis: the challenges of using cloud computing technology in the process of teaching at the University of Samarra. The researcher used the statistical program (SPSS 20) in order to examine the differences between the responses of the members of the research sample. The results revealed that the estimates of the teaching of the advantages of the use of cloud computing technology in the teaching process at the University of Samarra, which included the search tool, came very much, and the results revealed the most important challenges which stand in the way of the use of cloud computing technology in university education. The study recommended institutions of higher learning and universities with a set of important recommendations regarding the use of cloud computing technology in educational institutions. 

Brand community interactions and online customer support have become major platforms of brand sentiment strengthening and loyalty creation. Rapid brand responses to each customer request though inbound tweets in twitter and taking proper actions to cover the needs of customers are the key elements of positive brand sentiment creation and product or service initiative management in the realm of intense competition. In this research, there has been an attempt to collect near three million tweets of inbound customer requests and outbound brand responses of international enterprises for the purpose of brand sentiment analysis. The steps of CRISP-DM have been chosen as the reference guide for business and data understanding, data preparation, text mining, validation of results as well as the final discussion and contribution. A rich phase of text pre-processing has been conducted and various algorithms of sentiment analysis were applied for the purpose of achieving the most significant analytical conclusions over the sentiment trends. The findings have shown that the sentiment of customers toward a brand is significantly correlated with the proper response of brands to the brand community over social media as well as providing the customers with a deep feeling of reciprocal understanding of their needs in a mid-to-long range planning.

Finance and indebtedness remain major problems for most countries, especially developing countries it therefore requests to stand in front of them to reduce them and prevent their exacerbation, Global rating agencies are a reflection of the urgent need for investors and borrowers to identify factors affecting creditworthiness to bridge the existing information gap. Iraq was approved for the period 2004-2017 using a model (Toda Yamamota Causility) The desire to provide information on the level of risk before lending to the government or financial and banking institutions to assess the solvency and the desire to meet debts to meet current and future financial obligations in a timely manner, and the degree of rating is not an absolute fact, but expect to the current financial situation may err and may infect, However, creditworthiness indicators remain the most important criteria for assessing the likelihood of the borrower not repaying the loan amount. The researcher concluded that the most important variable affecting the sovereign creditworthiness of Iraq is debt service, especially in the short term On the other hand, the availability of liquidity gives great flexibility to Iraq in the payment of its obligations. 

The development teams who are geographically spread, culturally mixed and mainly depend on information and communication technology (ICT) for communication is defined as a global virtual teams (GVTs). Despite the advancement of technologies, achieving the efficient performance of GVTs remains a challenge. The reviewed literature has highlighted the importance of training and development, organizational commitment and motivation in enhancing the performance of GVTs. This study aims to identify the key performance indicators (KPIs), measures, and variables for assisting the GVT performance in global software development projects (GSD). In addition, this study aims to measure the GVTs performance involving online training and development, organizational commitment, and motivation in GSD projects. A survey was conducted among 103 respondents. Then, the performance measurement model (PMM) for GVTs in GSD projects was proposed based on the result of the survey. Finally, the project managers validated the study model. The proposed PMM includes four major components, namely performance measurement processes, mapping strategy for performance evaluation, measurements and performance analysis. The results showed the validity of the proposed model and confirmed that the PMM can assist project managers in measuring the performance of GVTs in GSD Projects.