Location
Online
Event Website
https://hicss.hawaii.edu/
Start Date
3-1-2023 12:00 AM
End Date
7-1-2023 12:00 AM
Description
This paper presents a multi-method approach for computational modeling of complex business ecosystem dynamics that enables strategic decision support. Our computational model is informed by theories of business strategy, organizational ecology, and interfirm networks, and uses real-world data mined from public and proprietary sources. Using a complex system and network analytic lens, our model provides insights into how the interconnected nature of actors, capabilities, and interfirm behaviors (mergers, acquisitions, and collaborations) can lead to different ecosystem characteristics. We discuss results and extensions of this work.
Recommended Citation
Basole, Rahul; Armbruster, Dieter; Cortez, Nicholaus; Barnett, Brandon; Guilak, Farzin; and Kempf, Karl, "Computational Modeling of Business Ecosystem Dynamics" (2023). Hawaii International Conference on System Sciences 2023 (HICSS-56). 2.
https://aisel.aisnet.org/hicss-56/da/practitioner_insights/2
Computational Modeling of Business Ecosystem Dynamics
Online
This paper presents a multi-method approach for computational modeling of complex business ecosystem dynamics that enables strategic decision support. Our computational model is informed by theories of business strategy, organizational ecology, and interfirm networks, and uses real-world data mined from public and proprietary sources. Using a complex system and network analytic lens, our model provides insights into how the interconnected nature of actors, capabilities, and interfirm behaviors (mergers, acquisitions, and collaborations) can lead to different ecosystem characteristics. We discuss results and extensions of this work.
https://aisel.aisnet.org/hicss-56/da/practitioner_insights/2