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A Risk Model to Promote Collaborative Logistics Networks

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Collaborative Networks in Digitalization and Society 5.0 (PRO-VE 2022)

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Abstract

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.

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References

  1. Vargas, A., Fuster, C., Corne, D.: Towards sustainable collaborative logistics using specialist planning algorithms and a gain-sharing business model: a UK case study. Sustainability 12, 6627 (2020)

    Article  Google Scholar 

  2. Akintoye, A., Main, J.: Collaborative relationships in construction: the UK contractors’ perception. Eng. Constr. Archit. Manage. 14, 597–617 (2007)

    Google Scholar 

  3. Camarinha-Matos, L.M., Afsarmanesh, H.: Collaborative networks: a new scientific discipline. J. Intell. Manuf. 16, 439–452 (2005)

    Article  Google Scholar 

  4. Romero, D., Galeano, N., Molina, A.: Mechanisms for assessing and enhancing organisations’ readiness for collaboration in collaborative networks. Int. J. Prod. Res. 47, 4691–4710 (2009)

    Article  Google Scholar 

  5. Feiock, R.C., Lee, I.W., Park, H.J.: Administrators’ and elected officials’ collaboration networks: selecting partners to reduce risk in economic development. Public Adm. Rev. 72, S58–S68 (2012)

    Article  Google Scholar 

  6. Pan, S., Trentesaux, D., Ballot, E., Huang, G.Q.: Horizontal collaborative transport: survey of solutions and practical implementation issues. Int. J. Prod. Res. 57, 5340–5361 (2019)

    Article  Google Scholar 

  7. Asadifard, R., Chookhachi Zadeh Moghadam, A., Goodarzi, M.: A model for classification and study of success factors in international collaborative networks. Innov. Manage. J. 5, 129–150 (2023)

    Google Scholar 

  8. Santos, R., Abreu, A., Dias, A., Calado, J.M., Anes, V., Soares, J.: A framework for risk assessment in collaborative networks to promote sustainable systems in innovation ecosystems. Sustainability 12, 6218 (2020)

    Article  Google Scholar 

  9. Nunes, M., Dias, A., Abreu, A., Martins, J.D.M.: A predictive risk model based on social network analysis. In: Modelling and Simulation, pp. 82–88 (2020)

    Google Scholar 

  10. Alawamleh, M., Popplewell, K.: Risk in collaborative networks: relationships analysis. Int. J. Serv. Oper. Manage. 12, 431–446 (2012)

    Google Scholar 

  11. Durugbo, C.: Managing information for collaborative networks. Ind. Manage. Data Syst. 20, 1207–1228 (2014)

    Google Scholar 

  12. Camarinha-Matos, L.M., Fornasiero, R., Ramezani, J., Ferrada, F.: Collaborative networks: a pillar of digital transformation. Appl. Sci. 9, 5431 (2019)

    Article  Google Scholar 

  13. Nobanee, H., Alhajjar, M., Abushairah, G., Al Harbi, S.: Reputational risk and sustainability: a bibliometric analysis of relevant literature. Risks 9, 134 (2021)

    Article  Google Scholar 

  14. Scott, S.V., Walsham, G.: Reconceptualizing and managing reputation risk in the knowledge economy: toward reputable action. Organ. Sci. 16, 308–322 (2005)

    Article  Google Scholar 

  15. Petersen, H.L., Lemke, F.: Mitigating reputational risks in supply chains. Supply Chain Manage. Int. J. 20, 495–510 (2015)

    Google Scholar 

  16. Blom, T., Niemann, W.: Managing reputational risk during supply chain disruption recovery: a triadic logistics outsourcing perspective. J. Transp. Supply Chain Manage. 16, 13 (2022)

    Google Scholar 

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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. This work was also supported by FCT, through CTS, project UIDB/00066/2020.

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Correspondence to Vitor Anes .

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Anes, V., Abreu, A., Dias, A., Calado, J. (2022). A Risk Model to Promote Collaborative Logistics Networks. In: Camarinha-Matos, L.M., Ortiz, A., Boucher, X., Osório, A.L. (eds) Collaborative Networks in Digitalization and Society 5.0. PRO-VE 2022. IFIP Advances in Information and Communication Technology, vol 662. Springer, Cham. https://doi.org/10.1007/978-3-031-14844-6_38

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  • DOI: https://doi.org/10.1007/978-3-031-14844-6_38

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-14843-9

  • Online ISBN: 978-3-031-14844-6

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