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.