Arab Academy for Banking and Financial Sciences

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Amman, Jordan

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Nehari-Talet A.,King Fahd University of Petroleum and Minerals | Alhawari S.,Applied Science Private University | Alryalat H.,Arab Academy for Banking and Financial Sciences
International Journal of Knowledge Management | Year: 2010

Organizations have increasingly recognized the importance of managing customer relationships, and Knowledge Management (KM) from the perspective of a process approaches assure positive impact on customer retention. Many organizations are turning to Customer Relationship Management (CRM) to better serve customers and facilitate closer relationships. This paper investigates how Knowledge Process for customers is used in practice by Jordanian companies to achieve Customer Knowledge Retention. The current practice is based on the data collected from 156, randomly drawn and reported from a survey of CRM applications and evaluation of CRM analytical functions provided by three software business solution companies working in the CRM area, and four companies that used the CRM system. Based on data collected from the companies, results from the analysis indicated that the knowledge process for customers had a positive effect on customer knowledge retention. The paper also verified the hypotheses of the effect of knowledge processes for customers on customer retention. The findings shed light on the potential relationship between the knowledge processes for customers and customer retention. It also provides guidance for the Information Technology (IT) industry as to how an analytical knowledge process for customers should be taken into account in developing countries to support to achieve customer knowledge retention due to cultural, social and educational differences. Copyright © 2010, IGI Global.


Al-Bahadili H.,Arab Academy for Banking and Financial Sciences | Hussain S.M.,University of Petra
International Journal of Automation and Computing | Year: 2010

This paper presents a description and performance evaluation of a new bit-level, lossless, adaptive, and asymmetric data compression scheme that is based on the adaptive character wordlength (ACW(n)) algorithm. The proposed scheme enhances the compression ratio of the ACW(n) algorithm by dividing the binary sequence into a number of subsequences (s), each of them satisfying the condition that the number of decimal values (d) of the n-bit length characters is equal to or less than 256. Therefore, the new scheme is referred to as ACW(n,s), where n is the adaptive character wordlength and s is the number of subsequences. The new scheme was used to compress a number of text files from standard corpora. The obtained results demonstrate that the ACW(n,s) scheme achieves higher compression ratio than many widely used compression algorithms and it achieves a competitive performance compared to state-of-the-art compression tools. © 2010 Institute of Automation, Chinese Academy of Sciences and Springer-Verlag Berlin Heidelberg.


Mohammad A.H.,University of Jordan | Hamdeh M.A.,Arab Academy for Banking and Financial Sciences | Sabri A.T.,Jerash Private University
European Journal of Scientific Research | Year: 2010

Eliciting knowledge is one of the most critical tasks that many organizations may face. Many organizations face problems when experts leave their job. This paper presents a framework for knowledge acquisition which will allow for a consistent method for capturing the knowledge of a particular enterprise, organization or human (domain) expert. This developed framework can be used for almost large organizations with a little adaptation related to job nature of the organizations. The goal of this paper is to present a framework in which a knowledge engineer can use to successfully capture, apply and validate knowledge. This framework can also be used for both types of knowledge (explicit and tacit). Moreover, applying this framework does not require a huge amount of effort or cost. © EuroJournals Publishing, Inc. 2010.


Amro I.,Al-Quds University | Zitar R.A.,New York Institute of Technology | Bahadili H.,Arab Academy for Banking and Financial Sciences
International Journal of Speech Technology | Year: 2011

In this paper, a replacement algorithm for Linear Prediction Coefficients (LPC) along with Hamming Correction Code based Compressor (HCDC) algorithms are investigated for speech compression. We started with an CELP system with order 12 and with Discrete Cosine Transform (DCT) based residual excitation. Forty coefficients with transmission rate of 5.14 kbps were first used. For each frame of the testing signals we applied a multistage HCDC, we tested the compression performance for parities from 2 to 7, we were able to achieve compression only at parity 4. This rate reduction was made with no compromise in the original CELP signal quality since compression is lossless. The compression approach is based on constructing dynamic reflection coefficients codebook, this codebook is constructed and used simultaneously using a certain store/retrieve threshold. The initiallinear prediction codec we used is excited by a discrete cosine transform (DCT) residual, the results were tested using the MOS and SSNR, we had acceptable ranges for the MOS (average 3.6), and small variations of the SSNR (±5 db). © Springer Science+Business Media, LLC 2011.


Owaied H.H.,Middle East University at Amman | Qasem M.M.,Arab Academy for Banking and Financial Sciences
Proceedings of the International MultiConference of Engineers and Computer Scientists 2010, IMECS 2010 | Year: 2010

this paper presents framework for developing shell expert system as new environment development for expert systems. The framework is based on the integration of two different knowledge representation formats. The integration consists of the Rule-base and the Case-based formats using the Blackboard. This scheme uses both procedural and declarative knowledge representation formalisms through the application of relational data base. So the rule base and case base formats have been converted into tables. In this paper all the algorithms, for creating, indexing, and checking the availability of a rule and a case, are present. The scheme facilitates combination of forward and backward chaining reasoning, using many problem solving methodologies, and different searching techniques. This view is based on the philosophy of human memory organization and utilization. Also individual uses the common sense, deduction and analogical reasoning activities in order to be more efficient for solving problems. Therefore, the proposed scheme facilitates the common sense, deduction and analogical reasoning activities in the inference engine, because rule base provides the deduction, case base provides the analogical reasoning, and the blackboard provides the common sense. The scheme makes the proposed Rule-Case-based shell expert system more flexible, efficient, and more powerful for the development of the expert systems in future.


Jbara Y.H.F.,Arab Academy for Banking and Financial Sciences
Proceedings of the IASTED International Conference on Modelling and Simulation | Year: 2010

This paper proposes a novel ant-based approach for solving continuous function optimization in 2D and 3D search spaces. The proposed approach called 2D-3D Continuous Ant Colony Approach (2D-3D-CACA), and is able to handle continuous 3D real word spaces applications. Novel concepts of this algorithm that distinguish it from the other heuristics are: (1) the inclusion of a dynamic discretization representation in order to change from discrete nature to continuous one. The paper briefly proposes the benefits and necessity of applying the dynamic discretization representation to resolve 3D application representation issues. (2) The use of a novel simulated annealing-based local search approach for local optimization with the aim of improving the overall performance. The proposed approach consists of two phases, that is, the global phase, and the local phase. The global phase provides a high quality starting solutions while the local phase operates on these quality solutions to obtain higher quality solutions. By iterating these two phases, global optimum obtained. Extensive experimental results show that the proposed algorithm performs very well against other continuous ant-related approaches found in the literature on a set of four well-known benchmark algebraic problems and one 3D real world application.


Khanfar K.,Arab American University | Alzou'bi M.,Arab Academy for Banking and Financial Sciences | El Sheikh A.,Arab Academy for Banking and Financial Sciences
International Review on Computers and Software | Year: 2011

This paper aims to determine the impact of the presence of a software quality assurance department / section on the quality of software in Jordanian organizations. It was found that the existence of software department/section enhances the use of the software; also it was found that the presence of the software quality assurance department enhances the quality of this software. Therefore, a software quality assurance department must be established for those companies who are willing to compete in the market. for the software quality assurance to succeed, some considerations need to be taken such as senior management commitment toward software quality policy / achievements, planning for software quality prior to engaging in the process of developing a quality software will maximize the outputs of the development process, quality certificate and training programs are needed to enhance quality in the developed software, developing and establishing standards and procedures, and using well defined metrics based on the desired software quality level. © 2011 Praise Worthy Prize S.r.l.


Al-Shargabi B.,Middle East University at Amman | Sheikh A.E.,Arab Academy for Banking and Financial Sciences | Sabri A.,Arab Academy for Banking and Financial Sciences
Recent Patents on Computer Science | Year: 2010

The Web service composition has received much attention recently to support business-to-business enterprise applications integration. Many composition approaches, languages, platforms, and patents have been proposed to overcome this issue. In this paper we present some of Web service composition languages, platforms, patents, and composition strategies, we compared them to some of the features that must be held by composition process, features such as the dynamic adaptation, execution monitoring, and quality of service (QoS) constraints to satisfy client's requirements to execute Web process. And we give an outlook to essential future research work. Recent patent and research advances aim to find methods for dynamic learning and redesigning along with monitoring and optimization of Web service composition process to satisfy user constraints. © 2010 Bentham Science Publishers Ltd.


Najeeb M.M.,Arab Academy for Banking and Financial Sciences | Sheikh A.E.,Arab Academy for Banking and Financial Sciences | Nababteh M.,Arab Academy for Banking and Financial Sciences
2011 IEEE 3rd International Conference on Communication Software and Networks, ICCSN 2011 | Year: 2011

Rule ranking is a crucial step in Associative Classification (AC), AC algorithms proposed many ranking methods which aim to improve the accuracy of the classifier. In this paper we propose a new model in rule ranking, namely Hybrid-RuleRank, which employs a hybrid Artificial Intelligence (AI) technique that combines Simulated Annealing (SA) with Genetic Algorithm (GA), the new model tested against 11 data sets from UCI Machine Learning Repository, and the experimental results show that our model enhances the accuracy of the classifier. © 2011 IEEE.


Al-Kaabi R.,Arab Academy for Banking and Financial Sciences
World Academy of Science, Engineering and Technology | Year: 2010

The concept of e-government has begun to spread among countries. It is based on the use of information communication technology (ICT) to fully utilize government resources, as well as to provide government services to citizens, investors and foreigners. Critical factors are the factors that are determined by the senior management of each organization; the success or failure of the organization depends on the effective implementation of critical factors. These factors vary from one organization to another according to their activity, size and functions. It is very important that organizations identify them in order to avoid the risk of implementing initiatives that may fail to work, while simultaneously exploiting opportunities that may succeed in working. The main focus of this paper is to investigate the majority of critical success factors (CSFs) associated with the implementation of e-government projects. This study concentrates on both technical and nontechnical factors. This paper concludes by listing the majority of CSFs relating to successful e-government implementation in Bahrain.

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