Theory development via replicated simulations and the added value of standards
Citation Link: https://doi.org/10.15480/882.2679
Publikationstyp
Journal Article
Date Issued
2020-01-31
Sprache
English
Institut
TORE-DOI
TORE-URI
Volume
23
Issue
1
Article Number
12
Citation
The journal of artificial societies and social simulation 1 (23): 12 (2020)
Publisher DOI
Scopus ID
Publisher
JASSS
Using the agent-based model of Miller et al. (2012), which depicts how different types of individuals’ memory affect the formation and performance of organizational routines, we show how a replicated simulation model can be used to develop theory. We also assess how standards, such as the ODD (Overview, Design concepts, and Details) protocol and DOE (design of experiments) principles, support the replication, evaluation, and further analysis of this model. Using the verified model, we conduct several simulation experiments as examples of different types of theory development. First, we show how previous theoretical insights can be generalized by investigating additional scenarios, such as mergers. Second, we show the potential of replicated simulation models for theory refinement, such as analyzing in-depth the relationship between memory functions and routine performance or routine adaptation.
Subjects
ABM
Design of Experiments (DOE)
Dynamic Capabilities
ODD
Organizational Routines
Replication
DDC Class
330: Wirtschaft