期刊名称：International Journal of Advanced Computer Science and Applications(IJACSA)
印刷版ISSN：2158-107X
电子版ISSN：2156-5570
出版年度：2021
卷号：12
期号：3
页码：259-268
DOI：10.14569/IJACSA.2021.0120332
出版社：Science and Information Society (SAI)
摘要：System Dynamics (SD) modelling is a highly
complex process. Although the SD methodology has been
discussed extensively in most breakthroughs and present
literature, discussions on data collection methods for SD
modelling are not explained in details in most studies. To date,
comprehensive descriptions of knowledge extraction for SD
modelling is still scarce in the literature either. In an attempt to
fill in the gap, three primary groups of data sources proposed by
Forrester: (1) mental database, (2) written database and
(3) numerical database, were reviewed, including the potential
data collections methods for each database by taking into
account the advancement of current computer and information
technology. The contributions of this paper come in threefolds.
First, this paper highlights the potential data sources that
deserved to be acknowledged and reflected in the SD domain.
Second, this paper provides insights into the appropriate mix and
match of data collection methods for SD development. Third, this
paper provides a practical synthesis of potential data sources and
their suitability according to the SD modelling stage, which can
serve as modelling practice guidelines.
关键词：System dynamics modelling; data collection methods; data source; system dynamics methodology
