Automating Business Modeling

A Guide to Using Logic to Represent Informal Methods and Support Reasoning

Yun-Heh Chen-Burger, Dave Robertson - Collection Advanced Information and Knowledge Processing

322 pages, parution le 21/03/2005

Ajouter à une liste

Indisponible

Résumé

Enterprise Modelling (EM) methods are frequently used by entrepreneurs as an analysis tool for describing and redesigning their businesses. The resulting product, an enterprise model, is commonly used as a blueprint for reconstructing organizations and such effort is often a part of business process re-engineering and improvement initiatives.

Automating Business Modelling describes different techniques of providing automated support for enterprise modelling methods and introduces universally used approaches. A running example of a business modelling method is included; providing a framework and detailed explanation as to how to construct automated support for modelling, allowing readers to follow the method to create similar support.

Suitable for senior undergraduates and postgraduates of Business Studies, Computer Science and Artificial Intelligence, practitioners in the fields of Knowledge Management, Enterprise Modelling and Software Engineering, this book offers insight and know-how to both student and professional.

Written for: Researchers, 3rd and 4th year undergraduates, MSc postgraduates, business managers

Sommaire

Background Knowledge
Problems and Overview of Approach
Logic
Formal Support for Data Modelling
Formal Support for Process Modelling
Reasoning on and Executing Processes
Knowledge Sharing and Reuse of Models
UseofKBST-BM
Evaluation of System
Conclusion

A Generic Business Models
B Example Business Models
C An Industrial Model

Voir tout

Replier

Caractéristiques techniques

	PAPIER
Éditeur(s)	Springer
Auteur(s)	Yun-Heh Chen-Burger, Dave Robertson
Collection	Advanced Information and Knowledge Processing
Parution	21/03/2005
Nb. de pages	322
Format	16 x 24
Couverture	Relié
Poids	605g
Intérieur	Noir et Blanc
EAN13	9781852338350
ISBN13	978-1-85233-835-0