Potential Data Collections Methods for System Dynamics Modelling: A Brief Overview
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 descriptio...
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| Format: | Article |
| Language: | English |
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The Science and Information (SAI) Organization Limited
2021
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| Online Access: | http://umpir.ump.edu.my/id/eprint/32021/ http://umpir.ump.edu.my/id/eprint/32021/1/Potential%20Data%20Collections%20Methods%20for%20System.pdf |
| _version_ | 1848823918124597248 |
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| author | Aisyah, Ibrahim Hamdan, Daniyal Tuty Asmawaty, Abdul Kadir Adzhar, Kamaludin |
| author_facet | Aisyah, Ibrahim Hamdan, Daniyal Tuty Asmawaty, Abdul Kadir Adzhar, Kamaludin |
| author_sort | Aisyah, Ibrahim |
| building | UMP Institutional Repository |
| collection | Online Access |
| description | 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 three folds. 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. |
| first_indexed | 2025-11-15T03:04:46Z |
| format | Article |
| id | ump-32021 |
| institution | Universiti Malaysia Pahang |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-15T03:04:46Z |
| publishDate | 2021 |
| publisher | The Science and Information (SAI) Organization Limited |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | ump-320212021-09-14T04:01:57Z http://umpir.ump.edu.my/id/eprint/32021/ Potential Data Collections Methods for System Dynamics Modelling: A Brief Overview Aisyah, Ibrahim Hamdan, Daniyal Tuty Asmawaty, Abdul Kadir Adzhar, Kamaludin QA Mathematics 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 three folds. 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. The Science and Information (SAI) Organization Limited 2021 Article PeerReviewed pdf en cc_by_4 http://umpir.ump.edu.my/id/eprint/32021/1/Potential%20Data%20Collections%20Methods%20for%20System.pdf Aisyah, Ibrahim and Hamdan, Daniyal and Tuty Asmawaty, Abdul Kadir and Adzhar, Kamaludin (2021) Potential Data Collections Methods for System Dynamics Modelling: A Brief Overview. International Journal of Advanced Computer Science and Applications (IJACSA), 12 (3). pp. 259-268. ISSN 2156-5570(Online). (Published) https://dx.doi.org/10.14569/IJACSA.2021.0120332 https://dx.doi.org/10.14569/IJACSA.2021.0120332 |
| spellingShingle | QA Mathematics Aisyah, Ibrahim Hamdan, Daniyal Tuty Asmawaty, Abdul Kadir Adzhar, Kamaludin Potential Data Collections Methods for System Dynamics Modelling: A Brief Overview |
| title | Potential Data Collections Methods for System Dynamics Modelling: A Brief Overview |
| title_full | Potential Data Collections Methods for System Dynamics Modelling: A Brief Overview |
| title_fullStr | Potential Data Collections Methods for System Dynamics Modelling: A Brief Overview |
| title_full_unstemmed | Potential Data Collections Methods for System Dynamics Modelling: A Brief Overview |
| title_short | Potential Data Collections Methods for System Dynamics Modelling: A Brief Overview |
| title_sort | potential data collections methods for system dynamics modelling: a brief overview |
| topic | QA Mathematics |
| url | http://umpir.ump.edu.my/id/eprint/32021/ http://umpir.ump.edu.my/id/eprint/32021/ http://umpir.ump.edu.my/id/eprint/32021/ http://umpir.ump.edu.my/id/eprint/32021/1/Potential%20Data%20Collections%20Methods%20for%20System.pdf |