TY - GEN
T1 - A Risk Model to Promote Collaborative Logistics Networks
AU - Anes, Vítor
AU - Abreu, António
AU - Dias, Ana
AU - Calado, João
N1 - info:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDB%2F00066%2F2020/PT#
Funding Information:
Acknowledgments. This work was supported by the Polytechnic Institute of Lisbon through the Projects for Research, Development, Innovation and Artistic Creation (IDI&CA), within the framework of the project ReEdIA—Risk Assessment and Management in Open Innovation, IPL/2021/ReEdIA_ISEL.
Publisher Copyright:
© 2022, IFIP International Federation for Information Processing.
PY - 2022
Y1 - 2022
N2 - One of the most common wastes in the transportation of goods is empty transportation. In recent years, collaborative network models have shown promising results in reducing the waste caused by empty transport. However, despite the associated benefits, adherence to these logistical models is far from the expected due to the associated risks. In order to encourage new collaborators to join collaborative networks in the freight transportation sector, this work developed a model for assessing and managing reputational risk, with the aim of making the whole process of managing collaborative networks clearer, more efficient, and more predictable. The developed model was implemented in an illustrative case study in which collaborators of a collaborative network were prioritized according to their reputation risk. The results show that the developed model enables collaborators of a network to participate in the selection of their respective partners according to their reputational risk.
AB - One of the most common wastes in the transportation of goods is empty transportation. In recent years, collaborative network models have shown promising results in reducing the waste caused by empty transport. However, despite the associated benefits, adherence to these logistical models is far from the expected due to the associated risks. In order to encourage new collaborators to join collaborative networks in the freight transportation sector, this work developed a model for assessing and managing reputational risk, with the aim of making the whole process of managing collaborative networks clearer, more efficient, and more predictable. The developed model was implemented in an illustrative case study in which collaborators of a collaborative network were prioritized according to their reputation risk. The results show that the developed model enables collaborators of a network to participate in the selection of their respective partners according to their reputational risk.
KW - Collaborative logistics networks
KW - Logistic sector
KW - Partner selection
KW - Reputational risk
KW - Risk assessment and management
UR - http://www.scopus.com/inward/record.url?scp=85139041262&partnerID=8YFLogxK
U2 - 10.1007/978-3-031-14844-6_38
DO - 10.1007/978-3-031-14844-6_38
M3 - Conference contribution
AN - SCOPUS:85139041262
SN - 978-3-031-14843-9
T3 - IFIP Advances in Information and Communication Technology
SP - 475
EP - 487
BT - Collaborative Networks in Digitalization and Society 5.0
A2 - Camarinha-Matos, Luís M.
A2 - Ortiz, Angel
A2 - Boucher, Xavier
A2 - Osório, A. Luís
PB - Springer
CY - Cham
T2 - 23rd IFIP WG 5.5 Working Conference on Virtual Enterprises, PRO-VE 2022
Y2 - 19 September 2022 through 21 September 2022
ER -