Abstract
Collaborative Business Ecosystems have been benefiting from the technological advancements, allowing better collaboration among organisations to provide more innovative products and services in an increasingly demanding world. This collaboration can be assessed through a set of performance indicators, which also induce a self-adjustment of the organisations’ behaviour, improving their profile and that of the ecosystem as a whole. In fact, their behaviour is expected to evolve (like individuals) according to the way they are evaluated. As such, this study presents a simulation model, which, together with the performance assessment and influence mechanism, is an essential contribution to measuring and influencing collaboration, enabling better management decisions. The model is based on agents and system dynamics, featuring a business ecosystem populated by organisations categorised according to a different profile, and configured and calibrated according to actual collaboration data. The samples were collected from two established companies operating in the same business ecosystem in the information technologies industry. Preliminary results of this approach, based on some simulation scenarios, are presented and discussed.
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Acknowledgements
This work benefited from the ongoing research within the CoDIS (Collaborative Networks and Distributed Industrial Systems Group) which is part of both the Nova University of Lisbon - Faculty of Sciences and Technology and the UNINOVA - CTS (Center of Technology and Systems). Partial support also comes from Fundação para a Ciência e Tecnologia through the program UID/EEA/00066/2019 and UIDB/00066/2020 and European Commission (project DiGiFoF (Project Nr. 601089-EPP-1-2018-1-RO-EPPKA2-KA).
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Graça, P., Camarinha-Matos, L.M. (2020). Performance Indicators of a Collaborative Business Ecosystem – A Simulation Study. In: Camarinha-Matos, L., Farhadi, N., Lopes, F., Pereira, H. (eds) Technological Innovation for Life Improvement. DoCEIS 2020. IFIP Advances in Information and Communication Technology, vol 577. Springer, Cham. https://doi.org/10.1007/978-3-030-45124-0_1
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