Author(s):
Anes, Vítor ; Abreu, António ; Dias, Ana ; Calado, João
Date: 2022
Persistent ID: http://hdl.handle.net/10362/143807
Origin: Repositório Institucional da UNL
Subject(s): collaborative networks; logistics; Monte Carlo method; risk assessment and management; sustainability; transportation sector; Geography, Planning and Development; Renewable Energy, Sustainability and the Environment; Environmental Science (miscellaneous); Energy Engineering and Power Technology; Management, Monitoring, Policy and Law; SDG 7 - Affordable and Clean Energy; SDG 12 - Responsible Consumption and Production
Description
IPL/2021/ReEdIA
Collaborative networks in the logistics sector have proven to be a solution that both meets environmental footprint reduction goals and addresses the impact of rising fuel prices on logistics companies, especially for small-and medium-sized enterprises. Despite these benefits, these collaborative networks have not received the desired amount of participation due to reputational risk. This paper develops a framework for assessing and managing reputational risk to encourage logistics companies’ participation in collaborative networks. To this end, customer satisfaction factors were correlated with logistics operations, and this correlation was then modeled using the Bowtie method, fault trees, event trees, reliability theory, and the Monte Carlo model. The results show that it is possible to implement a structured model that can be easily put into practice. Using an illustrative case study, it is also possible to prioritize three companies according to their reputational risk as assessed by the proposed model. The developed model can promote the sustainability of collaborative networks in the logistics industry by assessing and consistently reducing reputational risk, thus supporting the strengthening of the relationship between suppliers, logistics service providers, and end customers.
