Advances in Enterprise Engineering IX 5th Enterprise Engineering Working Conference, EEWC 2015, Prague, Czech Republic, June 15-19, 2015, Proceedings

Advances in Enterprise Engineering IX 5th Enterprise Engineering Working Conference, EEWC 2015, Prague, Czech Republic, June 15-19, 2015, Proceedings / edited by David Aveiro, Robert Pergl, Michal Valenta.

This book constitutes the proceedings of the 5th Enterprise Engineering Working Conference, EEWC 2015, held in Prague, Czech Republic, during May 15–19, 2015. EEWC aims at addressing the challenges that modern and complex enterprises face in a rapidly changing world. The participants of the working...

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Bibliographic Details
Corporate Author: SpringerLink (Online service)
Other Authors: Aveiro, David (Editor), Pergl, Robert (Editor), Valenta, Michal (Editor)
Format: eBook
Language:English
Published: Cham : Springer International Publishing : Imprint: Springer, 2015.
Edition:1st ed. 2015.
Series:Lecture Notes in Business Information Processing, 211
Springer eBook Collection.
Subjects:
Management information systems.
Application software.
Industrial management.
Electronic resources (E-books)
Online Access:Click to view e-book
Holy Cross Note:Loaded electronically.
Electronic access restricted to members of the Holy Cross Community.
Table of Contents:
  • On Enterprise Engineering and DEMO
  • Enterprise Operational Analysis Using DEMO and the Enterprise Operating System
  • Engineering the Decision-Making Process Using Multiple Markov Theories and DEMO
  • Towards Competence-Based Enterprise Restructuring Using Ontologies
  • The Enterprise Engineering Domain
  • On Business Process Management, Simulation and Analysis
  • Towards Multi-perspective Modeling with BPMN
  • Analysis of Business Processes with Enterprise Ontology and Process Mining
  • A Case Study of Business Process Simulation in the Context of Enterprise Engineering
  • On Complexity, Transformation and Modeling
  • On the Role of Complexity for Guiding Enterprise Transformations
  • On the Explanatory Capabilities of Enterprise Modeling Approaches
  • A Non-arbitrary Method for Estimating IT Business Function Recovery Complexity via Software Complexity.

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