2,941 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 lifecycle’s. 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
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
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Applying a Fuzzy-Morphological approach to complexity within management decision-making
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Extending the enterprise: An evaluation of ERP and EAI technologies within a Case Study organisation
It is widely understood that both Information Technology (IT) and Information Systems (IS), provide great benefits in improving the visibility of supply and value chains within and across organisational boundaries. Those enterprises which can realise the benefits of extending their core business processes outwards to clients and trading partners, will be able to create unique supply chain-dependent products and solutions. Thus, such business infrastructures have enabled organisations to expand and improve the effectiveness of their enterprise. One method to achieve this, has been to integrate Enterprise Resource Planning (ERP) systems with web-based and other IS systems, using Enterprise Application Integration (EAI) technologies. This paper seeks to investigate those factors which contributed to a case organisation’s extended enterprise experiences, by using extant ERP and EAI implementation IS evaluation criteria; and by placing the research results within the context of applicable IS research techniques in the area
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Exploring the relationship between knowledge management and organizational learning via fuzzy cognitive mapping
The normative literature within the field of Knowledge Management has tended to concentrate on techniques and methodologies for codifying knowledge. Similarly, the literature on organizational learning, focuses on aspects of those knowledge that are pertinent at the macro-organizational level (i.e. the overall business). There remains little published literature on how knowledge management and organizational learning are interrelated within business scenarios. In addressing this relative void, the authors of this paper present a model that highlights the factors for such an inter-relationship, which are extrapolated from a manufacturing organisation using a qualitative case study research strategy, supplanted by a cognitive mapping technique: Fuzzy Cognitive Mapping (FCM). The paper looks at the Information Systems Evaluation (ISE) process within a manufacturing organisation, the authors subsequently presenting a model that not only defines a relationship between KM and OL, but highlights factors that could lead a firm to develop itself towards a learning organisation
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Distributed software development in a financial services organisation
The outsourcing of IS functionality to offshore development firms has been a growth industry that has blossomed over the last 10 years. This is as a result of organisations, seeking to optimise costs, mitigate risks, and achieve greater return on shareholder value by delegating the delivery of business information systems and applications to third party vendors. At the same time, distributed approaches to software development has arisen, there has been a growing interest in the applicability of lightweight or Agile development methodologies. As such, this paper this paper discusses experiences of a European Financial Services firm in outsourcing, and subsequently offshoring, two of its IT projects to vendor firms in India, where Agile approaches were used. The authors provide a model of the financial firm’s critical success factors presented as a frame of reference for others interested and involved in this topical area
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Exploring fuzzy cognitive mapping for IS evaluation: A research note
Existing IS Evaluation (ISE) techniques tend to focus on modeling individuals, teams, organization, or systems, in relation to process and environmental boundaries. Whilst such approaches are noteworthy and of merit, they do not necessarily provide insights into those causal interdependencies that are inherent within decision-making task. As has been noted by the extant literature in the field, the ISE task is dependent upon many factors – the resulting outputs of which may be tangible or intangible. The implicit level of uncertainty associated with modeling such decision-making tasks and behaviors, are therefore difficult to comprehend and impart via wholly Quantitative and / or Qualitative analyses. The authors therefore present and propose supporting and on-going research into the application of Fuzzy Logic, in the guise of Fuzzy Cognitive Mapping (FCM) simulations, as a means to model tangible/intangible aspects of the ISE decision-making task. Such a Fuzzy Information Systems Evaluation (F-ISE) is shown via the application of the FCM technique, in terms of three models of investment appraisal that are aligned to an ISE task within a UK manufacturing organization. In doing so, it is anticipated that such a technique may be a useful addition to the plethora of ISE techniques available to both researcher and practitioner alike
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Knowledge dependencies in fuzzy information systems evaluation
Experience and research within the field of Information Systems Evaluation (ISE), has traditionally centered on providing tools and techniques for investment justification and appraisal, based upon explicit knowledge which encodes financial and other direct situational factors (such as accounting, costing and risk metrics). However, such approaches tend not to include additional causal interdependencies that are based upon tacit knowledge and are inherent within such a decision-making task. The authors show the results of applying a cognitive mapping approach, in the guise of a Fuzzy Cognitive Mapping (FCM) simulation, i.e. Fuzzy Information Systems Evaluation (F-ISE), in order to highlight the usefulness of applying such a technique. The authors highlight those contingent and necessary knowledge dependencies, in an exploratory sense, which relate to the investment appraisal decision-making task, in terms of the interplay between tacit and explicit knowledge, in this regard
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Emergence of ERPII Characteristics within an ERP integration context
It is widely accepted that Enterprise Resource Planning (ERP) can provide organizations with efficiency and productivity gains, in terms of aggregating and streamlining internal business processes. It is also well understood that embarking upon the implementation of such an IT project, also presents many risks and challenges to the incumbent corporation, as witnessed by numerous cases in the normative IS literature on this subject. Through the description of a case study organization’s ERP integration experiences, the authors highlight the emergence of those characteristics which define the componentization, and extension of ERP functionalities (i.e. so-called ERPII) in terms of a failed ERP-led, Enterprise Application Integration (EAI) implementation within an industrial products organization. As a result of the exploratory research approach used, it is hoped that the definition of such factors will provide an insight into the development and management of such technology investments
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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
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