Decision Modelling and Information Systems: The Information Value Chain

Decision Modelling and Information Systems: The Information Value Chain

by Nikitas-Spiros Koutsoukis, Gautam Mitra
     
 

In Decision Modelling And Information Systems: The Information Value Chain the authors explain the interrelationships between the decision support, decision modelling, and information systems. The authors borrow from Porter's value chain concept originally set out in the organizational context and apply it to a corporate IS context. Thus data, information and

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Overview

In Decision Modelling And Information Systems: The Information Value Chain the authors explain the interrelationships between the decision support, decision modelling, and information systems. The authors borrow from Porter's value chain concept originally set out in the organizational context and apply it to a corporate IS context. Thus data, information and knowledge is seen to be the progressive value added process leading to business intelligence. The book captures key issues that are of central interest to decision support researchers, professionals, and students. The book sets out an interdisciplinary and contemporary view of Decision Support System (DSS).

The first two parts of the book focus on the interdisciplinary decision support framework, in which mathematical programming (optimization) is taken as the inference engine. The role of business analytics and its relationship with recent developments in organisational theory, decision modelling, information systems and information technology are considered in depth. Part three of the book includes a carefully chosen selection of invited contributions from internationally-known researchers. These contributions are thought-provoking and cover key decision modelling and information systems issues.

These chapters include: Arthur Geoffrion on restoring transparency to computational solutions, Bill Inmon on the concept of the corporate information factory, Louis Ma and Efraim Turban on strategic information systems, and Erik Thomsen on information impact and its relationship to the value of information technology.

The final part of the book covers contemporary developments in the related area of business intelligence considered within an organizational context. The topics cover computing delivered across the web, management decision-making, and socio-economic challenges that lie ahead. It is now well accepted that globalisation and the impact of digital economy are profound; and the role of e-business and the delivery of decision models (business analytics) across the net lead to a challenging business environment. In this dynamic setting, decision support is one of the few interdisciplinary frameworks that can be rapidly adopted and deployed to so that businesses can survive and prosper by meeting these new challenges.

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Editorial Reviews

From the Publisher

From the reviews:

"It has been a pleasure to review this book and share the authors’ genuine excitement in its subject matter. It is refreshing, well structured, takes a critical look at the current state of decision support and presents a coherent evaluation of how decision support systems (DSS) should evolve … . This is a timely and very interesting book, which will be of much interest to those concerned with business intelligence and analysis. … The authors are to be congratulated … ." (S Fitz-Gerald, Journal of the Operational Research Society, Vol. 56, 2005)

Product Details

ISBN-13:
9781461351108
Publisher:
Springer US
Publication date:
04/30/2013
Series:
Operations Research/Computer Science Interfaces Series, #26
Edition description:
Softcover reprint of the original 1st ed. 2003
Pages:
366
Product dimensions:
6.14(w) x 9.21(h) x 0.80(d)

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