Architecture as a Tool to Solve Business Planning Problems

Encyclopedia of Information Science and Technology, Fourth Edition ◽

10.4018/978-1-5225-2255-3.ch050 ◽

2018 ◽

pp. 573-586

Author(s):

James McKee

Keyword(s):

Reference Model ◽

Business Planning ◽

Causal Relations ◽

Business Architecture ◽

Systematic Examination ◽

Definition Of ◽

Planning Problems

Businesses are now very large and complex organisations and their analysis provides a great deal of information that in order to be understood, must be well organised and presented. Architecture is a scheme that allows a systematic examination of the entire enterprise and can provide a well-organised presentation of the key components, their interdependencies and the important causal relations. This paper discusses the problems associated with developing an architecture and suggests a framework for developing a reference model to guide the definition of the business architecture.

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Architecture as a Tool to Solve Business Planning Problems

Advanced Methodologies and Technologies in Business Operations and Management - Advances in Logistics, Operations, and Management Science ◽

10.4018/978-1-5225-7362-3.ch012 ◽

2019 ◽

pp. 157-172

Author(s):

James McKee

Keyword(s):

Reference Model ◽

Business Planning ◽

Complex Organizations ◽

Causal Relations ◽

Business Architecture ◽

Systematic Examination ◽

Definition Of ◽

Planning Problems

Businesses are now very large and complex organizations and their analysis provides a great deal of information that in order to be understood must be well organized and presented. Architecture is a scheme that allows a systematic examination of the entire enterprise and can provide a well-organized presentation of the key components, their interdependencies, and the important causal relations. This chapter discusses the problems associated with developing an architecture and suggests a framework for developing a reference model to guide the definition of business architecture.

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Business Architecture

Business Architectures for Risk Assessment and Strategic Planning - Advances in Business Information Systems and Analytics ◽

10.4018/978-1-5225-3392-4.ch005 ◽

2017 ◽

pp. 66-88

Keyword(s):

Risk Assessment ◽

Enterprise Architecture ◽

Reference Model ◽

Strategic Plan ◽

Business Manager ◽

Holistic View ◽

Business Architecture ◽

Architectural Principles ◽

Planning Staff ◽

Definition Of

A well-presented business architecture will provide a holistic view of the enterprise. This will best enable management to see the critical structures and how they work together to determine what improvements can be made and what risks may exist. This chapter will show how the idea of architectural principles can be used to guide the development of an architectural reference model which can then be used by the planning staff to develop and present the organisational analysis in the form of architectural blueprint of the organisation. An architectural blueprint of the organisation would go a long way to ensuring that all the staff are on the same page by including the strategic plan and risk assessment plan within the business architecture; then it would ensure the development of the organisation would be as effective as possible. TOGAF provide a very detailed definition of ‘Enterprise Architecture' which covers all the topics from the Strategic Plan, Business Architecture to the IT System, but the TOGAF focus is very much on requirements to build the IT system. This book is aimed at the business manager developing the business architecture for organisational improvement, with IT there only as another value adding activity.

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Development and Evaluation of Fuzzy Criteria for the Diagnosis of Rheumatoid Arthritis

Methods of Information in Medicine ◽

10.1055/s-0038-1634678 ◽

1996 ◽

Vol 35 (04/05) ◽

pp. 334-342 ◽

Cited By ~ 17

Author(s):

K.-P. Adlassnig ◽

G. Kolarz ◽

H. Leitich

Keyword(s):

Rheumatoid Arthritis ◽

Reference Model ◽

American Rheumatism Association ◽

Uniform Definition ◽

Sensitivity Rate ◽

Fuzzy Techniques ◽

Definition Of ◽

Different Levels ◽

Specificity Rate

Abstract:In 1987, the American Rheumatism Association issued a set of criteria for the classification of rheumatoid arthritis (RA) to provide a uniform definition of RA patients. Fuzzy set theory and fuzzy logic were used to transform this set of criteria into a diagnostic tool that offers diagnoses at different levels of confidence: a definite level, which was consistent with the original criteria definition, as well as several possible and superdefinite levels. Two fuzzy models and a reference model which provided results at a definite level only were applied to 292 clinical cases from a hospital for rheumatic diseases. At the definite level, all models yielded a sensitivity rate of 72.6% and a specificity rate of 87.0%. Sensitivity and specificity rates at the possible levels ranged from 73.3% to 85.6% and from 83.6% to 87.0%. At the superdefinite levels, sensitivity rates ranged from 39.0% to 63.7% and specificity rates from 90.4% to 95.2%. Fuzzy techniques were helpful to add flexibility to preexisting diagnostic criteria in order to obtain diagnoses at the desired level of confidence.

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Semantics Enhancing Knowledge Discovery and Ontology Engineering Using Mining Techniques

Knowledge Discovery and Data Mining ◽

10.4018/978-1-59904-252-7.ch009 ◽

2011 ◽

pp. 163-188

Author(s):

Elena Irina Neaga

Keyword(s):

Knowledge Discovery ◽

Knowledge Engineering ◽

Reference Model ◽

Distributed Processing ◽

Ontology Engineering ◽

Software Architectures ◽

Model Driven ◽

Architectural Models ◽

Definition Of ◽

Comprehensive Framework

This chapter deals with a roadmap on the bidirectional interaction and support between knowledge discovery (Kd) processes and ontology engineering (Onto) mainly directed to provide refined models using common methodologies. This approach provides a holistic literature review required for the further definition of a comprehensive framework and an associated meta-methodology (Kd4onto4dm) based on the existing theories, paradigms, and practices regarding knowledge discovery and ontology engineering as well as closely related areas such as knowledge engineering, machine/ontology learning, standardization issues and architectural models. The suggested framework may adhere to the Iso-reference model for open distributed processing and Omg-model-driven architecture, and associated dedicated software architectures should be defined.

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Designing a M-Health Framework for Conceptualizing Mobile Health Systems

Healthcare Information Systems and Informatics ◽

10.4018/978-1-59904-690-7.ch001 ◽

2011 ◽

pp. 1-24 ◽

Cited By ~ 6

Author(s):

Phillip Olla ◽

Joseph Tan

Keyword(s):

Health System ◽

Health Systems ◽

Mobile Networks ◽

High Speed ◽

Reference Model ◽

Mobile Telecommunication ◽

Technological Infrastructure ◽

Key Dimensions ◽

Definition Of ◽

Health Field

The reference model presented in this chapter encourages the breakdown of m-health systems into the following five key dimensions: communication infrastructure: this is a description of the mobile telecommunication technologies and networks; device type: this relates to the type of device being used such as PDA, sensor, or tablet PC; data display: describes how the data will be displayed to the user and transmitted such as images, e-mail and textual data; application purpose: identification of the objective for the m-health system; application domain: definition of the area that the system will be implemented. Healthcare stakeholders and system implementer can use the reference model presented in this chapter to understand the security implications of the proposed system, identify the technological infrastructure, business requirements and operational needs of the m-health systems being implemented. A reference model to encapsulate the emerging m-health field is needed for cumulative progress in this field. Currently, the m-health field is disjointed and it is often unclear what constitutes an m-health system. In the future, m-health applications will take advantage of technological advances such as device miniaturizations, device convergence, high-speed mobile networks, and improved medical sensors. This will lead to the increased diffusion of clinical m-health systems requiring better understanding of the components, which constitute the m-health system.

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The M-Health Reference Model

Medical Informatics ◽

10.4018/978-1-60566-050-9.ch036 ◽

2011 ◽

pp. 455-473

Author(s):

Phillip Olla ◽

Joseph Tan

Keyword(s):

Health System ◽

Health Systems ◽

Mobile Networks ◽

High Speed ◽

Reference Model ◽

Mobile Telecommunication ◽

Technological Infrastructure ◽

Key Dimensions ◽

Definition Of ◽

Health Field

The reference model presented in this article encourages the breakdown of M-Health systems into the following five key dimensions: (1) Communication Infrastructure: a description of mobile telecommunication technologies and networks; (2) Device Type: the type of device being used, such as PDA, sensor, or tablet PC; (3) Data Display: describes how the data will be displayed to the user and transmitted, such as images, email, and textual data; (4) Application Purpose: identification of the objective for the M-Health system; (5) Application Domain: definition of the area in which the system will be implemented. Healthcare stakeholders and system implementer can use the reference model presented in this article to understand the security implications of the proposed system and to identify the technological infrastructure, business requirements, and operational needs of the M-Health systems being implemented. A reference model that encapsulates the emerging M-Health field is needed for cumulative progress in this field. Currently, the M-Health field is disjointed, and it is often unclear what constitutes an M-Health system. In the future, M-Health applications will take advantage of technological advances such as device miniaturizations, device convergence, high-speed mobile networks, and improved medical sensors. This will lead to the increased diffusion of clinical M-Health systems, which will require better understanding of the components that constitute the M-Health system.

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Definition of a control service in the application layer of the ISO/OSI reference model for control stations

Computers in Industry ◽

10.1016/0166-3615(92)90052-o ◽

1992 ◽

Vol 20 (2) ◽

pp. 187-192 ◽

Cited By ~ 1

Author(s):

Edgar Chacón ◽

Orestes Llanes Santiago

Keyword(s):

Reference Model ◽

Application Layer ◽

Definition Of ◽

Osi Reference Model ◽

Control Service

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How much drinking water can be saved by using rainwater harvesting on a large urban area? Application to Paris agglomeration

Water Science & Technology ◽

10.2166/wst.2014.269 ◽

2014 ◽

Vol 70 (11) ◽

pp. 1782-1788 ◽

Cited By ~ 9

Author(s):

Ali Belmeziti ◽

Olivier Coutard ◽

Bernard de Gouvello

Keyword(s):

Drinking Water ◽

Urban Area ◽

Potable Water ◽

Rainwater Harvesting ◽

Reference Model ◽

Total Current ◽

Large Urban Area ◽

Residential Sector ◽

Definition Of ◽

Building Level

This paper is based on a prospective scenario of development of rainwater harvesting (RWH) on a given large urban area (such as metropolitan area or region). In such a perspective, a new method is proposed to quantify the related potential of potable water savings (PPWS) indicator on this type of area by adapting the reference model usually used on the building level. The method is based on four setting-up principles: gathering (definition of buildings-types and municipalities-types), progressing (use of an intermediate level), increasing (choice of an upper estimation) and prioritizing (ranking the stakes of RWH). Its application to the Paris agglomeration shows that is possible to save up to 11% of the total current potable water through the use of RWH. It also shows that the residential sector offers the most important part because it holds two-thirds of the agglomeration PPWS.

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