TY - GEN
T1 - AI and Simulation for Performance Assessment in Collaborative Business Ecosystems
AU - Graça, Paula
AU - Camarinha-Matos, Luís M.
N1 - Funding Information:
This work benefited from the ongoing research within the CoDIS (Col-laborative Networks and Distributed Industrial Systems Group), which is part of both the Nova University of Lisbon (UNL)-School of Science and Technology and the UNINOVA-CTS (Center of Technology and Systems). Partial support also comes from Funda??o para a Ci?ncia e Tecnologia through the program UIDB/00066/2020 and European Commission (project DiGiFoF (Project Nr. 601089-EPP-1?2018-1-RO-EPPKA2-KA).
Publisher Copyright:
© 2021, IFIP International Federation for Information Processing.
PY - 2021/7/1
Y1 - 2021/7/1
N2 - 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.
AB - 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.
KW - Agent-based modelling
KW - Business ecosystem
KW - Collaborative networks
KW - Performance indicators
KW - Reinforcement learning
KW - Simulation
UR - http://www.scopus.com/inward/record.url?scp=85112012505&partnerID=8YFLogxK
U2 - 10.1007/978-3-030-78288-7_1
DO - 10.1007/978-3-030-78288-7_1
M3 - Conference contribution
AN - SCOPUS:85112012505
SN - 978-3-030-78287-0
T3 - IFIP Advances in Information and Communication Technology
SP - 3
EP - 15
BT - Technological Innovation for Applied AI Systems - 12th IFIP WG 5.5/SOCOLNET Advanced Doctoral Conference on Computing, Electrical and Industrial Systems, DoCEIS 2021, Proceedings
A2 - Camarinha-Matos, Luis M.
A2 - Ferreira, Pedro
A2 - Brito, Guilherme
PB - Springer
CY - Cham
T2 - 12th IFIP WG 5.5/SOCOLNET Advanced Doctoral Conference on Computing, Electrical and Industrial Systems, DoCEIS 2021
Y2 - 7 July 2021 through 9 July 2021
ER -