176,243 research outputs found
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Towards a methodology for the development of integrated IT infrastructures
In this paper, the authors propose and validate
a methodology for the development of integrated
Information Technology (IT) infrastructures. The
motivation for putting forward a new methodology is
grounded on the limitations of the various software
engineering methodologies (traditional) that exist
today. Despite that the traditional methodologies result
in the development of Information Systems (IS) from
scratch, Enterprise Application Integration (EAI)
builds integrated IT infrastructures using existing
applications. This significant difference is associated
with many issues needed to be realised and addressed
like: (a) the changes that such an infrastructure brings
to organisations, (b) the resistance to change and (c)
the extension of IS lifecycleâs. The proposed
methodology consist of eight stages and aims at
supporting software engineers, organisations and
researchers to build integrated IT infrastructures. As a
result the methodology seeks to contribute to the body
of knowledge
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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 servicesâ 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
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The evaluation and the effectiveness of project management in transformational e-government projects
This paper forms part of an ongoing research of a PhD degree to describe, critically evaluate and examine the underlying barriers and challenges in large e-Government initiatives. The paper invites technology to be incorporated and inculcated into the art and science of project management, and be part of a passable solution as opposed to being distinct and separate from it. The tools used have to increase the novelty (art and science) of project management through human interaction, and empower the project manager and aiding his capacity in delivering the expected outcomes. Due to inadequate implementations of project management procedures and processes, many large information technology systems (ITS) projects failed. This becomes a characteristic and encompasses e-Government project initiatives, due to ambitious program changes, major innovations, large transformations, enterprise wide solutions, collaboration across organizationsâ governments and private sectors, and the implementation of unprecedented (or ambitious) solutions. This research paper critically analyses and summarises a list of e-Government challenges and barriers arising from an e-Government survey administered on behalf of the World Information Technology and Services Association (WITSA) which represents the national technology associations in 70 countries. It compares these challenges to the Project Management Body of Knowledge (PMBOK), which is the North American standard in project management methodology. In addition, it highlights the weaknesses in PMBOK to address these challenges and offers a technology-enabled enhancement to the Project Initiation Phase, the area identified as being particularly weak and inadequate in addressing e-Government initiatives and requirements
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Knowledge Management for Public Administrations: Technical Realizations of an Enterprise Attention Management System
The improvement of governmentsâ efficiency has gained great importance and validity especially in the current times of economic downturn. E-Government constitutes the most contemporary techno-managerial proposition in the track of possible interventions. The paper addresses, more specifically, empowerments necessitated by Public Administration (PA) organizations. Anchored on the needs of three real-life cases, the paper describes the conception and the realization of an IT artefact together with its methodological appeals aiming at improving information access and delivery and thus PAsâ decision making capacity. Our proposition constitutes a novel approach for managing usersâ attention in knowledge intensive organizations which goes beyond informing a user about changes in relevant information towards proactively supporting the user to react on changes. The approach is based on an expressive attention model, which is realized by combining ECA (Event-Condition-Action) rules with ontologies. The technical realizations described in the paper constitute the underlying infrastructure of an Enterprise Attention Management System
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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
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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
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Information systems and healthcare XXIV: Factors affecting the EAI adoption in the healthcare sector
Recent developments in the field of integration technologies like Enterprise Application Integration (EAI) have emerged to support organizations towards improving the quality of services and reducing integration costs. Despite the importance of EAI, there is limited empirical research reported on its adoption in the healthcare sector. Khoumbati et al. [2006] developed a model for the evaluation of EAI in healthcare organizations. In doing so, the causal interrelationship of EAI adoption factors was identified by using fuzzy cognitive mapping. This paper is a progression of previous work in the area and seeks to contribute by validating the model through a different case environment. Thus, this paper contributes by deriving and proposing the MAESTRO model for EAI adoption. MAESTRO identifies a set of factors that influence EAI adoption and it is evaluated through a real-life case study. It provides an understanding of the EAI adoption process through its grounding on empirical data. In doing so, the MAESTRO model supports the management of healthcare organizations during the decision-making process for EAI adoption
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 managementâs 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
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