Introducing decision support systems
The advent of powerful yet user-friendly computer packages based on mathematical and logical models has enabled management tools (Decision Support Systems) to be made available more widely than ever before. These systems are defined as 'any computer-based system that helps managers to be better at tackling problems'.
Paul Finlay's book, now in its second edition, first establishes a framework for the use of decision support systems by providing a review of the nature of managerial work and of business problems, with particular emphasis on planning and control.
Few assumptions are made about the reader's prior knowledge.
Separate chapters on the tools, techniques and methodologies associated with each type of decision support system. The software packages that support these systems are also discussed.
This new edition is updated throughout. In particular there is a new chapter on the human-computer interface and the vital question of measuring the success of decision support systems is given full treatment.
Concludes with a discussion of the relationship between expert systems and decision support systems, and a brief look at future developments.
Introducing Decision Support Systems is aimed at advanced undergraduate and postgraduate students in schools of management, business studies and computing. It will also be extremely relevant to professionals dealing with decision support systems, e.g. accountants, managers and IT staff.
20 pages matching interface in this book
Results 1-3 of 20
What people are saying - Write a review
We haven't found any reviews in the usual places.
The Nature of Managerial Work and of Business Problems
Models and Systems
Towards a Definition of Decision Support Systems
14 other sections not shown
activity Analysis approach appropriate Cognitive Mapping concept concerned considered context data model Data Retrieval Systems database decision maker Decision Support Systems decision tree defined definition dimensions discussed effectiveness environment example Executive Information Systems expected monetary value Expert Systems Extrapolatory Systems facilitator forecasting group decision Group DSS human-computer human-computer interface identified ill-structured implementation individual input interaction interface involved judgement later sell later level of measurement linear programming logic model Management Information Systems Management Intelligence Systems Management Science manager's mathematical measures of success Metasystems million packs MINTS operational options organisation output packages participants phase planning and control Preference Determination Systems problem tackling queue relations Scenario Development Systems sell later sell sell now sell shown in Figure simply simulation specific spreadsheet stage strategic structure Systems Design systems development cycle techniques tonnes types of DSS validation values variables whilst