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  4. What Is a Validation Methodology? Analyzing and Synthesizing Two Meanings
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What Is a Validation Methodology? Analyzing and Synthesizing Two Meanings

ISBN
978-3-642-29244-6-3
Type
book section
Date Issued
2012
Author(s)
Grösser, Stefan N.  
Editor(s)
Grösser, Stefan N.  
Zeier, René
DOI
10.1007/978-3-642-29244-6_3
Abstract
Well-validated models can improve the management of intelligent
organizations (Schwaninger 2009; Kybernetes, 39: 1419-1428, 2010). In the domain of systemdynamics and computational modeling, the assurance of model validity is a prominent challenge.A number of contributions concerning validation tests and their epistemological foundations have been developed. Considering the existing literature, however, little has been said about a validation methodology for systemdynamics models. This chapter differentiates two meanings of such methodology. The first meaning denotes a body of methods. This understanding has been adopted almost exclusively in the field of system dynamics. The second meaning sets forth a comprehensive understanding of the elicitation, description, reflection, and evaluation of issues related to validation, which is currently lacking. This chapter's contribution is to synthesize the two meanings in a single conceptual model. That model is used to derive directions for future research as well as actions required to support systemic management for intelligent organizations. The chapter aims at focusing the attention of researchers on validation and at inaugurating a beneficial discussion.
Language
English
Keywords
Validation methodology - Simulation - Validity - Validation methods -
Validation tests
HSG Classification
contribution to scientific community
Refereed
No
Book title
Systemic Management for Intelligent Organizations : Concept, Model-Based Approaches, and Applications
Publisher
Springer
Publisher place
Berlin
Start page
47
End page
60
Pages
14
URL
https://www.alexandria.unisg.ch/handle/20.500.14171/92507
Subject(s)

business studies

Division(s)

IFB - Institute of Ma...

Eprints ID
217140
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