Exploring knowledge management integration through EAI in local government domain

Information Technology (IT) infrastructure integration and knowledge management share communal objectives e.g. to make organisations more effective and efficient, agile and innovative, and more responsive to market changes. Such association when assimilates bona fide knowledge management philosophy, it offers the IT departments a headship opportunity for organisational transformation in affiliation with the rest of the establishment. Notwithstanding, in the context of Local Government Authorities (LGAs), the non-integrated nature of the IT infrastructure is associated with inefficient data and knowledge exchange and reduction in LGA services’ quality. Therefore, numerous data inconsistencies and redundancies occur that impact LGA services to their citizenry. LGAs have deployed Enterprise Application Integration (EAI) technological solutions to integrate their legacy with new developed Information Systems (IS). Literature indicates that EAI achieves integration at five layers namely: (a) connectivity, (b) transportation, (c) transformation, (d) process integration and (e) knowledge integration. This research adapts a Revised Model for Integration Layers (REAL) and tests through a case study in a local authority. The results indicate that cases leading to data inconsistencies and replication can be prevented by integrating knowledge through EAI

`ICT Policy` for ICT service management - role of business organizations in national reforms agenda for services sector

Several governments around the world have made significant endeavours and allegiances to deliver new National Reforms Agenda (NRA) in order to drive sustained prosperity for their citizens e.g. the cases of Australian, Georgia, Kingdom of Saudi Arabia (KSA) governments etc. In general, the rationale for transformation in NRA has been manifold such as: (a) healthier and more active the population, the stronger the economy; (b) the more skilled the population, the higher the productivity; (c) the greater the degree of social inclusion, the greater the workforce/stakeholder participation and (b) improving individual government’s investment climate and strengthening democratic and political institutions. Notwithstanding, in the present and coming decades nationals of different countries around the world are (to a greater extent due to the credit crunch) and further will be facing immense challenges, due to mounting competitiveness in the global economy. Some governments are highly aware of the magnitude and complexity of these challenges. Nevertheless, resolving these challenges is not merely within the jurisdiction of the national government – success will essentially hinge on a collaborative working relationship within all levels of governments (e.g. local, national, central) and business/trading stakeholders. As a result of this collaboration, formulating and consigning prosperity to citizens. The research carried out in this paper strives to exemplify the objectives of the national reforms in general. In addition, structural change of the reformation policy is presented to the business organisations for the purpose of enabling them by focusing on Information and Communication Technologies (ICT) based participation and productivity in service management

A conceptual model for EAI adoption in an e-government environment

The non-integrated nature of Local Government Authority (LGA) Information Systems (IS) is strongly associated with the inconsistency and duplication of data, reduction in data integrity and quality, and high operational and maintenance cost. The reason is that legacy IS within the LGAs are usually tailored to support particular business processes and functions and are as a consequence usually difficult to integrate. This gives rise to a strong need for an integrated architecture that facilitates reuse of existing applications and flexibly implementing business processes across the functional boundaries within the LGAs. This paper examines a potentially important area of IS integration in the United Kingdom (UK) LGAs through Enterprise Application Integration (EAI) technology. A review of the literature indicates that EAI has been a focal technology for several organisations in solving their integration problems. However, is new in the LGAs; thus research literature around it is limited. Yet the effect of IS integration using EAI technology remains under explored, as little research has been conducted to comprehend the LGAs perception of integration that influences their decisions and actions. The author demonstrates that it is of high importance to investigate this area within LGAs and result in research that contributes towards successful EAI adoption. Therefore, resulting in the development of a conceptual model that may be used to assist the government decision-making process for EAI adoption in an electronic Government (e-Government) environment

Mapping factors influencing EAI adoption in the local government authorities on different phases of the adoption lifecycle

Several private and public organisations have adopted Enterprise Application Integration (EAI), however, its application in the Local Government Authorities (LGAs) is limited. Although, there exist few EAI adoption models, these models mainly focus on a number of different factors (e.g. benefits, barriers, cost) influencing the decision making process for EAI adoption. Moreover, these models do not illustrate which factor(s) influence the decision making process for EAI adoption on the adoption lifecycle phases. Literature indicates that the adoption process involves a sequence of phases an organisation passes through before taking the decision for adoption. This exemplifies that LGAs may also have to pass through several adoption phases before taking the decision to adopt EAI. However, due to the: (a) multiplicity of diverse EAI adoption factors and (b) not able to recognise which factor(s) influence EAI on adoption lifecycle phases, it may not be easy for LGAs to take decisions to adopt EAI by merely focusing on different factors. This may impede the decision making process for EAI adoption in LGAs. Notwithstanding, the implications of EAI have yet to be assessed, leaving scope for timeliness and novel research. Therefore, it is of high importance to investigate this area within LGAs and result in research that contributes towards successful EAI adoption. This paper makes a step forward as it: (a) investigates and proposes four adoption lifecycle phases, (b) validates the adoption lifecycle phases and (c) mapping the factors influencing EAI adoption on the adoption lifecycle phases, through a case study. Hence, it significantly contributes to the body of knowledge and practice. In doing so, providing sufficient support to the decision makers for speeding up the decision making process for EAI adoption in LGAs

Training senior employees for ICT skills enhancement through “refocus”: The EUROPEAN project

Declining fertility rates and the ageing of the European population represents a major challenge to many governments within the European Union (EU) and its neighbouring realms, in the present and for the forthcoming decades. The increasing ageing workforce within several United Kingdom (UK) and the EU private and public organisations is an evident manisfestation. The workforce comprised of senior employees are often seen by employers as less mobile and flexible with low performance and thus, less able to deal with the rapid changes occurring in their organisations; as rapid developments require flexible and responsive workforce. The mobility of the senior employees is therefore a topical theme in the workforce market. The necessary knowledge and skills required for the senior employees can be taught through various Information and Communication Technologies (ICT) related training systems within an organisation. However, it appears that the development of training systems required for senior employees need careful investigation into the requirements of the problem situation. The reason is that the design of senior employees training systems should be more carefully planned, as literature indicates that it is significantly time consuming and is harder to train senior employees on ICT applications. This paper presents a European project – REFOCUS (oldeR Employees training on inFOrmation and CommUnication technologieS), an initaitive undertaken by the EU for enhancing the ICT skills of the ageing workforce. This project also aims at designing a new electronic learning (e-Learning) method that focuses on the needs of senior employees of 40 years of age and over – who can become a strategic resource for the European economy

The Scientific Revolution of Thomas Kuhn and Their Relevances for Humanization of Islamic Law

This paper tries to explore the views of Thomas Kuhn that science is moving through the stages that will culminate in normal conditions and then "rot" because it has been replaced by science or new paradigm. So next. The new paradigm threatens the old paradigm that had previously become the new paradigm. With this thinking concept, Thomas Kuhn is not just a major contribution in the history and philosophy of science, but more than that, he has initiated the theories that have broad implications in the social sciences, arts, politics, education and even religious sciences , provide an important contribution in order to project humanization Islamic sciences. in showing Islamic humanist deconstruction re the primary sources of Islam, namely the Qur\u27an and Tafseer already should keep abreast of the needs of Muslim humanist paradigm so that the functional interpretation theories and theories of literacy is very possible to grow, to challenge the needs of the times

An intelligent classification system for land use and land cover mapping using spaceborne remote sensing and GIS

The objectives of this study were to experiment with and extend current methods of Synthetic Aperture Rader (SAR) image classification, and to design and implement a prototype intelligent remote sensing image processing and classification system for land use and land cover mapping in wet season conditions in Bangladesh, which incorporates SAR images and other geodata. To meet these objectives, the problem of classifying the spaceborne SAR images, and integrating Geographic Information System (GIS) data and ground truth data was studied first. In this phase of the study, an extension to traditional techniques was made by applying a Self-Organizing feature Map (SOM) to include GIS data with the remote sensing data during image segmentation. The experimental results were compared with those of traditional statistical classifiers, such as Maximum Likelihood, Mahalanobis Distance, and Minimum Distance classifiers. The performances of the classifiers were evaluated in terms of the classification accuracy with respect to the collected real-time ground truth data. The SOM neural network provided the highest overall accuracy when a GIS layer of land type classification (with respect to the period of inundation by regular flooding) was used in the network. Using this method, the overall accuracy was around 15% higher than the previously mentioned traditional classifiers. It also achieved higher accuracies for more classes in comparison to the other classifiers. However, it was also observed that different classifiers produced better accuracy for different classes. Therefore, the investigation was extended to consider Multiple Classifier Combination (MCC) techniques, which is a recently emerging research area in pattern recognition. The study has tested some of these techniques to improve the classification accuracy by harnessing the goodness of the constituent classifiers. A Rule-based Contention Resolution method of combination was developed, which exhibited an improvement in the overall accuracy of about 2% in comparison to its best constituent (SOM) classifier. The next phase of the study involved the design of an architecture for an intelligent image processing and classification system (named ISRIPaC) that could integrate the extended methodologies mentioned above. Finally, the architecture was implemented in a prototype and its viability was evaluated using a set of real data. The originality of the ISRIPaC architecture lies in the realisation of the concept of a complete system that can intelligently cover all the steps of image processing classification and utilise standardised metadata in addition to a knowledge base in determining the appropriate methods and course of action for the given task. The implemented prototype of the ISRIPaC architecture is a federated system that integrates the CLIPS expert system shell, the IDRISI Kilimanjaro image processing and GIS software, and the domain experts' knowledge via a control agent written in Visual C++. It starts with data assessment and pre-processing and ends up with image classification and accuracy assessment. The system is designed to run automatically, where the user merely provides the initial information regarding the intended task and the source of available data. The system itself acquires necessary information about the data from metadata files in order to make decisions and perform tasks. The test and evaluation of the prototype demonstrates the viability of the proposed architecture and the possibility of extending the system to perform other image processing tasks and to use different sources of data. The system design presented in this study thus suggests some directions for the development of the next generation of remote sensing image processing and classification systems

Nonfactorization in Hadronic Two-body Cabibbo-favored decays of D^0 and D^+

With the inclusion of nonfactorized amplitudes in a scheme with $N_c=3$, we have studied Cabibbo-favored decays of $D^0$ and $D^+$ into two-body hadronic states involving two isospins in the final state. We have shown that it is possible to understand the measured branching ratios and determined the sizes and signs of nonfactorized amplitudes required.Comment: 15 pages, Late

Attitudinal and behavioural determinants influencing decision makers when adopting integration technologies in local government

Over the last few years, the advent of innovative or revolutionary integration technologies has influenced pivotal decisions within top management to strategically transform Local Government Authorities (LGAs). These technologies may represent a huge cost for adopting LGAs, but may also offer the chance to achieve competitive advantage through superior service delivery. With the emergence of electronic Government (e- Government), LGAs are turning to integration technologies to fully automate and e-enable their business processes and integrate their IT infrastructures. While prior research on the adoption of integration technologies in the private and public domain has considered several determinants (e.g. benefits, barriers, costs), little attention has been given to investigate the attitudinal and behavioural determinants influencing top management’s decision making process for the adoption of integration technologies in LGAs. Notwithstanding, the implications of this research have yet to be assessed, leaving scope for timeliness and novel research. Therefore, it is of high importance to investigate this area within LGAs and contribute to the area of strategic decision making by examining attitudinal and behavioural determinants of top management in relation to integration technologies adoption