Ebook: Decision Modelling and Information Systems: The Information Value Chain
- Tags: Operation Research/Decision Theory, Business Information Systems, Operations Research Management Science, Organization/Planning
- Series: Operations Research/Computer Science Interfaces Series 26
- Year: 2003
- Publisher: Springer US
- Edition: 1
- Language: English
- pdf
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 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.
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.
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 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.
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.
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 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.
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.
Content:
Front Matter....Pages i-xvi
Front Matter....Pages 1-1
Introduction....Pages 3-16
Models for Decision Making....Pages 17-26
Information Systems for Decision Support....Pages 27-44
DSS Constituents....Pages 45-55
Front Matter....Pages 57-57
Knowledge-enabled Decision Support....Pages 59-74
Knowledge Elicitation and Attainment....Pages 75-86
Data Modelling ‘Technology’....Pages 87-99
Information Modelling....Pages 101-123
Data Mart Development and Dynamic Model Instantiation....Pages 125-148
Decision Modelling....Pages 149-162
Front Matter....Pages 163-163
The DSS and IS interaction revisited....Pages 165-173
Restoring Transparency to Computational Solutions....Pages 175-203
The Corporate Information Factory....Pages 205-215
Strategic Information Systems for Competitive Advantage....Pages 217-252
Information Value....Pages 253-279
Front Matter....Pages 281-281
Embedded decision support....Pages 283-303
Decision Support Service Provision (DSSP)....Pages 305-325
Imminent Decision Support....Pages 327-348
Epilogue....Pages 349-354
Back Matter....Pages 355-366
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 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.
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.
Content:
Front Matter....Pages i-xvi
Front Matter....Pages 1-1
Introduction....Pages 3-16
Models for Decision Making....Pages 17-26
Information Systems for Decision Support....Pages 27-44
DSS Constituents....Pages 45-55
Front Matter....Pages 57-57
Knowledge-enabled Decision Support....Pages 59-74
Knowledge Elicitation and Attainment....Pages 75-86
Data Modelling ‘Technology’....Pages 87-99
Information Modelling....Pages 101-123
Data Mart Development and Dynamic Model Instantiation....Pages 125-148
Decision Modelling....Pages 149-162
Front Matter....Pages 163-163
The DSS and IS interaction revisited....Pages 165-173
Restoring Transparency to Computational Solutions....Pages 175-203
The Corporate Information Factory....Pages 205-215
Strategic Information Systems for Competitive Advantage....Pages 217-252
Information Value....Pages 253-279
Front Matter....Pages 281-281
Embedded decision support....Pages 283-303
Decision Support Service Provision (DSSP)....Pages 305-325
Imminent Decision Support....Pages 327-348
Epilogue....Pages 349-354
Back Matter....Pages 355-366
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