33 research outputs found
Recommended from our members
Application of fuzzy simulation for evaluating enterprise application integration in healthcare organisations
Healthcare organisations have focused on the latest technological innovations to overcome their organisational and clinical problems. The information systems were not developed in a cordinated way but evolved as autonomous and hetrogeneous systems. Thus, the integration of these systems represents one of the most urgent priorities of healthcare organisations that allow the whole organisation to meet the increasing clinical, organisational and managerial needs. Recently, technological developments have emerged in the area of integration technology such as Enterprise Application Integration (EAI). This provides significant benefits to organisations to overcome the integration problem. This work therefore evaluates the adoption of EAI in healthcare organisations. In doing so, Fuzzy Cognitive Mapping (FCM) simulation is used to demonstrate the causal inter-relationships between the EAI adoption factors. FCM simulation provides insights into better understanding about interdependencies of the factors that influence EAI adoption in healthcare organisations
The impact of enterprise application integration on information system lifecycles
Information systems (IS) have become the organisational fabric for intra-and inter-organisational collaboration in business. As a result, there is mounting pressure from customers and suppliers for a direct move away from disparate systems operating in parallel towards a more common shared architecture. In part, this has been achieved through the emergence of new technology that is being packaged into a portfolio of technologies known as enterprise application integration (EAI). Its emergence however, is presenting investment decision-makers charged with the evaluation of IS with an interesting challenge. The integration of IS in-line with the needs of the business is extending their identity and lifecycle, making it difficult to evaluate the full impact of the system as it has no definitive start and/or end. Indeed, the argument presented in this paper is that traditional life cycle models are changing as a result of technologies that support their integration with other systems. In this paper, the need for a better understanding of EAI and its impact on IS lifecycles are discussed and a classification framework proposed.Engineering and Physical Sciences Research Council (EPSRC) Grant Ref: (GR/R08025) and Australian Research Council (DP0344682)
Towards a novel framework for the assessment of enterprise application integration packages
In addressing enterprise integration problems, a diversity
of technologies such as CORBA and XML were
promoted, yet no single integration technology solves all
integration problems. As a result, a new generation of
software called Enterprise Application Integration (EAI)
is emerging to addresses many integration problems by
combining a diversity of integration technologies (e.g.
message brokers, adapters, XML). Since EAI is a new
research area, there is an absence of literature discussing
issues like its adoption, evaluation and implementation.
This paper, examines the application of two frameworks
for the evaluation of EAI packages in the practical arena.
In doing so, the authors use case study strategy to
investigate integration issues. Empirical data derived
from the case study suggest additions to the two
evaluation frameworks. Therefore, the authors revised
and extend previous works by proposing a novel
evaluation framework for the assessment of EAI
packages. The proposed framework makes novel
contribution at two levels. First, at the conceptual level,
as it incorporates criteria identified separately in previous
studies as evaluation criteria. The proposed framework
can be used as a decision-making tool and, supports
management when taking decisions regarding the
adoption of EAI. Additionally, it can be used by
researchers to analyse and understand the capabilities o
Recommended from our members
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
Recommended from our members
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