TY - GEN
T1 - Evolution of a collaborative business ecosystem in response to performance indicators
AU - Graça, Paula
AU - Camarinha-Matos, Luis M.
N1 - sem pdf.
Partial support from Fundação para a Ciência e Tecnologia through the PEST program UID/EEA/00066/2013 (Impactor project).
PY - 2017/10/1
Y1 - 2017/10/1
N2 - Business Ecosystems supported by the increasing use and expansion of communication networks represent nowadays a powerful form of collaboration, enabling organizations better responding to more challenging business opportunities. In this context, performance indicators are needed for measuring collaboration benefits of a business ecosystem as a whole and of its individual members, the organizations. But such indicators may also induce a self-adjustment of the organizations’ behavior, as there is a natural tendency of individuals and organizations to adapt to the way they are evaluated. As such, an adequate selection of performance indicators can help the sustainability of the ecosystem. The level of reaction to indicators is nevertheless not the same for all members of the ecosystem, i.e. there are different classes of responsiveness. Using system dynamics and multi-agent systems, the focus of this paper is the study of the evolution of the agents of a collaborative business ecosystem, depending on the performance indicators used to assess their performance and considering their class of responsiveness.
AB - Business Ecosystems supported by the increasing use and expansion of communication networks represent nowadays a powerful form of collaboration, enabling organizations better responding to more challenging business opportunities. In this context, performance indicators are needed for measuring collaboration benefits of a business ecosystem as a whole and of its individual members, the organizations. But such indicators may also induce a self-adjustment of the organizations’ behavior, as there is a natural tendency of individuals and organizations to adapt to the way they are evaluated. As such, an adequate selection of performance indicators can help the sustainability of the ecosystem. The level of reaction to indicators is nevertheless not the same for all members of the ecosystem, i.e. there are different classes of responsiveness. Using system dynamics and multi-agent systems, the focus of this paper is the study of the evolution of the agents of a collaborative business ecosystem, depending on the performance indicators used to assess their performance and considering their class of responsiveness.
KW - Business ecosystem
KW - Collaborative networks
KW - Performance indicators
UR - http://www.scopus.com/inward/record.url?scp=85029574788&partnerID=8YFLogxK
U2 - 10.1007/978-3-319-65151-4_55
DO - 10.1007/978-3-319-65151-4_55
M3 - Conference contribution
AN - SCOPUS:85029574788
SN - 978-331965150-7
VL - 506
T3 - IFIP Advances in Information and Communication Technology
SP - 629
EP - 640
BT - IFIP Advances in Information and Communication Technology
PB - Springer New York LLC
T2 - 18th IFIP WG 5.5 Working Conference on Virtual Enterprises, PRO-VE 2017
Y2 - 18 September 2017 through 20 September 2017
ER -