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Communication Dans Un Congrès Année : 2021

AI and Simulation for Performance Assessment in Collaborative Business Ecosystems

Résumé

Artificial Intelligence advances have enabled smarter systems, which in the business world, particularly in Collaborative Business Ecosystems, can lead to more streamlined, effective, and sustainable processes. Moreover, the use of well-defined performance indicators to assess the organisations' collaboration level can influence their behaviour, expecting to improve their performance and that of the ecosystem. This paper presents a case study using a simulation and agent-based model to represent the organisations' behaviour. True data gathered from three IT industry organisations running in the same business ecosystem allowed to shape the model with three classes of agents with different collaboration willingness levels. As such, some scenarios are simulated and discussed, considering a CBE populated with a given combination of organisations and a variation of the weighted adopted performance indicators.
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hal-03685925 , version 1 (02-06-2022)

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Paula Graça, Luis M. Camarinha-Matos. AI and Simulation for Performance Assessment in Collaborative Business Ecosystems. 12th Doctoral Conference on Computing, Electrical and Industrial Systems (DoCEIS), Jul 2021, Costa de Caparica, Portugal. pp.3-15, ⟨10.1007/978-3-030-78288-7_1⟩. ⟨hal-03685925⟩
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