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

Transforming failure into success through organisational learning: An analysis of a manufacturing information system

This paper describes the idiosyncracies of a case study company, through highlighting issues and problems experienced during their attempts to evaluate, implement and realise the holistic implications of a manufacturing information system. Although the Information System (IS) was operational for a period of time, it was eventually deemed a failure. The reason for this was that a range of human and organisational factors prevented the organisation from embracing the full impact of the system. The eventual success of their information system was realised through a bespoke implementation, based upon a traditional systems development lifecycle that indirectly addressed learning issues following the earlier failed deployment. The paper highlights key issues relating to business success and failure, and then contrasts them alongside the presented case study. In doing so, the authors conclude by proposing methods through which manufacturing information systems can be transformed for business success. This is described achievable through both a realisation in the positioning of the organisation relative to technology management, and the related mapping of human and technological constructs that support information systems related succes

Knowledge representation within information systems in manufacturing environments

This thesis was submitted for the degree of Doctor of Philosophy and awarded by Brunel University.Representing knowledge as information content alone is insufficient in providing us with an understanding of the world around us. A combination of context as well as reasoning of the information content is fundamental to representing knowledge in an information system. Knowledge Representation is typically concerned with providing structures and theories that are used as a basis for intelligent reasoning. For this research however, the author defines an alternative meaning, which is related to how knowledge is used in a given context. Thus, this dissertation provides a contribution to the field of knowledge within information systems, in terms of the development of a frame-of-reference that will support the reader in navigating through the different forms of explicit and tacit knowledge use within the manufacturing industry. In doing so, the dissertation also presents the generation of a novel classification of three forms of knowledge (Structural, Interpretive and Evaluative forms); the development of a conceptual framework which highlights the drivers for knowledge transformation; and the development of a conceptual model which seeks to envelop both the content as well as the context of knowledge (Semiotic as well as Symbiotic factors). This is established through the use of an Empirical, Quantitative case study approach, that seeks to explore an interpretivist view of knowledge representation within two information systems contexts, within two UK manufacturing organisations. The first case study presents how a-priori knowledge assumptions are used in a computer aided engineering decision-making task within a high technology manufacturing company. The second case study shows how knowledge is used within the IT/IS investment evaluation decision making process, within a manufacturing SME. In doing so, both case studies attempt to elucidate the inherent, underlying relationship between explicit and tacit knowledge, via a frame-of-reference developed by the author which defines key drivers for knowledge transformation

Evaluating the adoption of enterprise application integration in multinational organisations

This thesis was submitted for the degree of Doctor of Philosophy and awarded by Brunel University.A review of normative literature, in the field of Information Systems (IS) integration, indicates that traditional approaches to applications integration have failed to result in flexible and maintainable IT infrastructures. In addressing this issue, a new technology called Enterprise Application Integration (EAI) has emerged and addresses most of integration problems by resulting in the development of reusable and manageable IT infrastructures. Enterprise application integration is a new research area with many research issues needing to be investigated. At this end, EAI adoption has not efficiently studied with organisations and researchers needing to understand and analyse EAI adoption. This work examines the introduction of enterprise application integration in multinational organisations and proposes a novel model for its adoption. The model is based on a comprehensive set of factors that influence the introduction of EAI in organisations. Since there is an absence of theoretical models for EAI adoption, the proposed model adapts factors that influence the adoption of other integration technologies such as Electronic Data Interchange (EDT). Additional factors like an evaluation framework that supports decision making have been considered by the author as factors that influence EAI adoption. In moving from the conceptual to the empirical, the work is based on a qualitative case study approach to examine the concepts of the proposed model for the adoption of EAI. In doing so, two case studies were conducted at multinational organisations and presented and analysed. However, during the empirical research complementary factors also emerged, which resulted in modifications being made to the previously presented conceptual model. In interpreting from empirical data, it appears that ten main factors influence the adoption of EAT namely: (a) benefits; (b) barriers; (c) costs; (d) internal pressures; (e) external pressures; (f) IT infrastructure; (g) IT sophistication; (h) an evaluation framework for the assessment of integration technologies; (i) evaluation framework for the assessment of EAT packages and, (j) support. The proposed model makes novel contribution at two levels. First, at the conceptual level, as it incorporates factors identified separately in previous studies as influencing adoption of other integration technologies. These factors are used for the development of a consistent model for the adoption and evaluation of EAT. Secondly, the concepts of the proposed model can be used for the adoption of inter-organisational information systems. The proposed model can be used as a decision-making tool to support management when taking decisions regarding the adoption of EAI. Additionally, it can be used by researchers to analyse and understand the adoption of application integration.This work is funded by the Brunel University Department of Information Systems and Computing

Knowledge representation within information systems in manufacturing environments

Representing knowledge as information content alone is insufficient in providing us with an understanding of the world around us. A combination of context as well as reasoning of the information content is fundamental to representing knowledge in an information system. Knowledge Representation is typically concerned with providing structures and theories that are used as a basis for intelligent reasoning. For this research however, the author defines an alternative meaning, which is related to how knowledge is used in a given context. Thus, this dissertation provides a contribution to the field of knowledge within information systems, in terms of the development of a frame-of-reference that will support the reader in navigating through the different forms of explicit and tacit knowledge use within the manufacturing industry. In doing so, the dissertation also presents the generation of a novel classification of three forms of knowledge (Structural, Interpretive and Evaluative forms); the development of a conceptual framework which highlights the drivers for knowledge transformation; and the development of a conceptual model which seeks to envelop both the content as well as the context of knowledge (Semiotic as well as Symbiotic factors). This is established through the use of an Empirical, Quantitative case study approach, that seeks to explore an interpretivist view of knowledge representation within two information systems contexts, within two UK manufacturing organisations. The first case study presents how a-priori knowledge assumptions are used in a computer aided engineering decision-making task within a high technology manufacturing company. The second case study shows how knowledge is used within the IT/IS investment evaluation decision making process, within a manufacturing SME. In doing so, both case studies attempt to elucidate the inherent, underlying relationship between explicit and tacit knowledge, via a frame-of-reference developed by the author which defines key drivers for knowledge transformation.EThOS - Electronic Theses Online ServiceGBUnited Kingdo

Personalising patient Internet searching using electronic patient records

The research reported in this thesis addresses a patient's information requirements when searching the Internet for health information. A patient's lack of information about his/her health condition and its care is officially acknowledged and traditional patient information sources do not address today's patient information needs. Internet health information resources have become the foremost health information platform. However, patient Internet searching is currently manual, uncustomised and hindered by health information vocabulary and quality challenges. Patient access to quality Internet health information is currently ensured through national health gateways, medical search engines, third-party accredited search engines and charity health websites. However, such resources are generic, i.e. do not cater for a patient particular information needs. In this study, we propose personalising patient Internet searching by enabling a patient's access to their Electronic Patient Records (EPRs) and using this EPR data in Internet information searching. The feasibility of patient access to EPRs has recently been promoted by national health information programmes. Very recently, in the literature, there are reports about pilot studies on personal Health Record (PHR) systems that offer a patient online access to their medical records and related health information. However, the extensive literature searching shows no reports about patient-personalised search engines, within the reported PHR prototypes, that utilise a patient's own data to personalise the search features for a patient especially with regard to health information vocabulary needs. The thesis presents a novel approach to personalising patient information searching based on linking EPR data with relevant Internet Information resources, integrating medical and lay perspectives in a diagnosis vocabulary that distinguishes between medical and lay information needs, and accommodating a variable perspective on online information quality. To demonstrate our research work, we have implemented a prototype online patient personal health information system, known as the Patient Health Base (PHB) that offers a patient a Summary Medical Record (SMR) and a Personal Internet Search (PerlS) service. PerlS addresses patient Internet search challenges identified in the project. Evaluation of PerlS's approach to improving a patient's medical Internet searching demonstrated improvements in terms of search capabilities, focusing techniques and results. This research explored a new direction for patient Internet searching and foresees a great potential for further customising Internet information searching for patients, families and the public as a whole