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System Approach to MIS and DSS and its Modeling within SD

System Approach to MIS and DSS and its Modeling within SD

Miroljub Kljajic, Mirjana Kljajic Borštnar, Andrej Škraba, Davorin Kofjac
Copyright: © 2012 |Pages: 21
ISBN13: 9781466608825|ISBN10: 146660882X|EISBN13: 9781466608832
DOI: 10.4018/978-1-4666-0882-5.ch208
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MLA

Kljajic, Miroljub, et al. "System Approach to MIS and DSS and its Modeling within SD." Regional Development: Concepts, Methodologies, Tools, and Applications, edited by Information Resources Management Association, IGI Global, 2012, pp. 315-335. https://doi.org/10.4018/978-1-4666-0882-5.ch208

APA

Kljajic, M., Borštnar, M. K., Škraba, A., & Kofjac, D. (2012). System Approach to MIS and DSS and its Modeling within SD. In I. Management Association (Ed.), Regional Development: Concepts, Methodologies, Tools, and Applications (pp. 315-335). IGI Global. https://doi.org/10.4018/978-1-4666-0882-5.ch208

Chicago

Kljajic, Miroljub, et al. "System Approach to MIS and DSS and its Modeling within SD." In Regional Development: Concepts, Methodologies, Tools, and Applications, edited by Information Resources Management Association, 315-335. Hershey, PA: IGI Global, 2012. https://doi.org/10.4018/978-1-4666-0882-5.ch208

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Abstract

In this chapter, the authors discuss system dynamics (SD) as a research methodology in Information Systems (IS). The goal is to demonstrate the usefulness of SD methodology in research and its implementation in IS and management Information Systems (MIS). The authors briefly discuss the fundamentals of SD methodology models and causal loop diagrams (CLD) as well as model validation. The usefulness of this transdisciplinary methodology has been demonstrated with the case of the quality of IS success and satisfaction. Some examples of modeling for public decision assessment of sustainable development as well as inventory control using SD have been demonstrated. The advantage of SD is in its natural language problem definition, which can be easily transformed into a directed graph that is convenient for qualitative and quantitative analysis in computer programs. SD enables studying the behavior of complex dynamic systems as the feedback processes of reinforcing and balancing loops.

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