Institution
University of Jordan
Education•Amman, Jordan•
About: University of Jordan is a education organization based out in Amman, Jordan. It is known for research contribution in the topics: Population & Medicine. The organization has 7796 authors who have published 13764 publications receiving 213526 citations.
Topics: Population, Medicine, Health care, Computer science, Diabetes mellitus
Papers published on a yearly basis
Papers
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TL;DR: In this paper, a portable solar water heater was designed, built and tested for the Bedouin community, which can gain a great deal from the solar energy that is continuously available in the desert.
66 citations
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TL;DR: In this paper, a series of phenyl-substituted hexa-peri-hexabenzocoronenes (HBCs) with residue modifications blended with perylenediimide (PDI) as donor material was analyzed.
65 citations
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TL;DR: In this article, the authors studied the nature of the implementation process of strategic decisions within three banks in Jordan and found that culture plays an important role in the implementation of these decisions.
Abstract: This paper studies the nature of the implementation process of strategic decisions within three banks in Jordan. To gain a better view of the implementation process, a qualitative research was carried out. Interviews, observations, and documentation research were used in order to collect the primary data of this study. It is believed that culture might have an effect on the way strategic decisions are implemented in organizations. Having reviewed the extant literature, it was found that four factors may be used to explain the nature of this process within the three banks. These factors are the use of an external company, the use of a simulation technique, the use of an incremental approach, and the use of a buffering time period. Finally, the analysis of the data revealed that culture is expected to play an important role in the implementation process and in the way this process is implemented within banks in Jordan.
65 citations
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TL;DR: A link prediction model is proposed which is capable of predicting both links that might exist and links that may disappear in the future, and performs very well in both bipartite and non-bipartite graphs.
Abstract: Prediction is one of the most attractive aspects in data mining. Link prediction has recently attracted the attention of many researchers as an effective technique to be used in graph based models in general and in particular for social network analysis due to the recent popularity of the field. Link prediction helps to understand associations between nodes in social communities. Existing link prediction-related approaches described in the literature are limited to predict links that are anticipated to exist in the future. To the best of our knowledge, none of the previous works in this area has explored the prediction of links that could disappear in the future. We argue that the latter set of links are important to know about; they are at least equally important as and do complement the positive link prediction process in order to plan better for the future. In this paper, we propose a link prediction model which is capable of predicting both links that might exist and links that may disappear in the future. The model has been successfully applied in two different though very related domains, namely health care and gene expression networks. The former application concentrates on physicians and their interactions while the second application covers genes and their interactions. We have tested our model using different classifiers and the reported results are encouraging. Finally, we compare our approach with the internal links approach and we reached the conclusion that our approach performs very well in both bipartite and non-bipartite graphs.
65 citations
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TL;DR: In this article, the authors examined and identified the factors that influence and affect the utilization of e-Government in the developing countries, specifically in Jordan, and investigated the challenges and barriers that must be overcome in order to successfully implement eGovernment in Jordan.
Abstract: Electronic government (e-Government) in its simplest form can mean using information and communication technology (ICT) tools to provide services to citizens. Still with the huge benefits and synergies that e-Government grants to governments and societies, it faces many obstacles and challenges. Therefore, there are always a number of critical success factors and risks associated with e-Government. This paper highlights some of the key ones; it critically assesses key factors that influence e-Government services adoption and diffusion. Thus, the aim of this study is to examine and identify the factors that influence and affect the utilization of e-Government in the developing countries, specifically in Jordan. Furthermore, this article investigates the challenges and barriers that must be overcome in order to successfully implement e-Government in Jordan. Semi-structured interviews were conducted and used in this study to collect the data. The results of this study show that the most significant challenges and factors influencing the implementation of e-Government services in Jordan are related to budgeting and financial costs, human expertise, social influence, technological issues, lack of awareness, resistance of public employees, data privacy and security, the legal framework, the needed technology, administrative obstacles, and trust or believing in e-Government. Conclusions, recommendations and future work are stated at the end of the paper.
65 citations
Authors
Showing all 7905 results
Name | H-index | Papers | Citations |
---|---|---|---|
Yousef Khader | 94 | 586 | 111094 |
Crispian Scully | 86 | 917 | 33404 |
Debra K. Moser | 85 | 558 | 27188 |
Pierre Thibault | 77 | 332 | 17741 |
Ali H. Nayfeh | 71 | 618 | 31111 |
Harold S. Margolis | 71 | 199 | 26719 |
Gerrit Hoogenboom | 69 | 560 | 24151 |
Shaher Momani | 64 | 301 | 13680 |
Robert McDonald | 62 | 577 | 17531 |
Kaarle Hämeri | 58 | 175 | 10969 |
James E. Maynard | 56 | 141 | 9158 |
E. Richard Moxon | 54 | 176 | 10395 |
Liam G Heaney | 53 | 234 | 8556 |
Stephen C. Hadler | 52 | 148 | 11458 |
Nicholas H. Oberlies | 52 | 262 | 9683 |