Data, Expert Knowledge and Decisions. An Interdisciplinary Approach with Emphasis on Marketing Apllications.

Gaul, Wolfgang, u. Martin Schader (Eds.)

ISBN 10: 3540190384 / ISBN 13: 9783540190387

Published by Berlin, Heidelberg, New York, London, Paris, New York: Springer., 1988

About this Item

1. Aufl. 17,5 x 24,5 cm. 380 S., 117. Abb. Illustrierter Originalkarton. Geringe Gebrauchsspuren. Auf Grund der EPR-Regelung können wir in folgende Länder NICHT mehr liefern: Bulgarien, Dänemark, Griechenland, Luxemburg, Österreich, Polen, Rumänien, Schweden, Slowakei, Spanien.

Seller Inventory # 8220AB

Bibliographic Details

• Title: Data, Expert Knowledge and Decisions. An Interdisciplinary Approach with Emphasis on Marketing Apllications.
• Publisher: Berlin, Heidelberg, New York, London, Paris, New York: Springer.
• Publication Date: 1988
• Language: English
• ISBN 10: 3540190384
• ISBN 13: 9783540190387
• Binding: Hardcover
• Seller catalogs:
  • Wirtschaft

About this title

Synopsis

Cross-disciplinary research on how computer-assisted decision making can be supported by sophisticated data analysis techniques and recent developments in knowledge-based systems research are described in this volume, with emphasis on marketing applications. Aspects dealt with include market-share analysis (spreadsheet based), media planning, stochastic market modelling, marketing data analysis and new product introduction management (all knowledge-based, partly using PROLOG). These contributions emphasize links between decision support, expert knowledge research and marketing. Other application areas are debt and credit management and personnel disposition (KEE based), portfolio management (PROLOG based) and vehicle scheduling. Concrete interconnections between data analysis and marketing can be seen in the contributions on classification and unfolding of market data, market segmentation by forced classification, conjoint analysis applications, ideal point product mapping, MDS in telecommunications pricing and multi-mode marketing data evaluations.