Identifying Key-Factors Driving Platform Ecosystem to Collapse

Lamia, Loudahi (2022) Identifying Key-Factors Driving Platform Ecosystem to Collapse. International Journal of Trend in Scientific Research and Development, 6 (6). pp. 277-287. ISSN 2456-6470

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Many researchers in many fields have experienced tipping point to their complex systems (as in financial markets, in ecological system), but no one has experienced in platforms ecosystem systems. One of the biggest issues those platforms ecosystem can face: is the collapse. The risk of approaching to the tipping point is unknown. Complex dynamical system ranging from ecosystem to economy can collapse anytime, but predicting the point where the collapse can occur is difficult. We built a mathematical model (S-C model) which incorporating the dynamics, interactions and mutualistic network for platform ecosystem. We use this model to predict the key factors driving platforms ecosystem to collapse. To get our predictions we used an approximation method to get rid from complexity without losing much generality and still explain the same dynamics. To achieve our results we used matlab software and solved the reduced model. The inevitable factors that lead to collapse are suggesting to be used as early indicators of dramatic changes. We developed a system dynamics model of platform (group of suppliers and consumers) that includes: growth, churn, competition, alliance, negative interaction and mutual interaction between users. We use this model to simulate various development paths by varying different factors, which affect the platform’s ecosystem model. Our simulation results show that: ds, dc, Bij, ?ij, and h are the key factors driving the platform ecosystem to collapse.

Item Type: Article
Subjects: Q Science > QA Mathematics
Divisions: Postgraduate > Master's of Islamic Education
Depositing User: Journal Editor
Date Deposited: 19 Sep 2022 11:35
Last Modified: 19 Sep 2022 11:35

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