Control Charts to Support Trust Monitoring in Dynamic Logistics Networks
Main Author: | |
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Publication Date: | 2018 |
Other Authors: | , , |
Language: | eng |
Source: | Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) |
Download full: | https://doi.org/10.1007/978-3-319-99127-6_43 |
Summary: | Nowadays, companies to be competitive must develop capabilities that enable them to respond quickly to market needs. According to some managers, the strategy is the development of dynamic logistics networks based on a collaborative environment. However, the absence of mechanisms to detect and even anticipate potential opportunistic behaviour is an obstacle to the proliferation of this way of working. The article aims to understand the role of trust to sustainability of collaborative processes. The paper begins by discussing the trust properties. It is then discussed how statistical control charts can be used to support the trust monitoring of each member within a collaborative ecosystem. The control charts’ tools suggested in this paper are the Z control charts for trust level monitoring and the Zi capacity index. Finally, it is discussed how this approach can be applied to dynamic logistics networks within the context of a collaborative ecosystem. |
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Control Charts to Support Trust Monitoring in Dynamic Logistics NetworksCollaborative networksLogisticManagementQualityTrustInformation SystemsComputer Networks and CommunicationsInformation Systems and ManagementNowadays, companies to be competitive must develop capabilities that enable them to respond quickly to market needs. According to some managers, the strategy is the development of dynamic logistics networks based on a collaborative environment. However, the absence of mechanisms to detect and even anticipate potential opportunistic behaviour is an obstacle to the proliferation of this way of working. The article aims to understand the role of trust to sustainability of collaborative processes. The paper begins by discussing the trust properties. It is then discussed how statistical control charts can be used to support the trust monitoring of each member within a collaborative ecosystem. The control charts’ tools suggested in this paper are the Z control charts for trust level monitoring and the Zi capacity index. Finally, it is discussed how this approach can be applied to dynamic logistics networks within the context of a collaborative ecosystem.Springer New York LLCDEMI - Departamento de Engenharia Mecânica e IndustrialUNIDEMI - Unidade de Investigação e Desenvolvimento em Engenharia Mecânica e IndustrialRUNAbreu, AntónioRequeijo, JoséCalado, João M. F.Dias, Ana2019-05-02T22:05:10Z20182018-01-01T00:00:00Zconference objectinfo:eu-repo/semantics/publishedVersion13application/pdfhttps://doi.org/10.1007/978-3-319-99127-6_43eng97833199912691868-4238PURE: 10828955http://www.scopus.com/inward/record.url?scp=85053777276&partnerID=8YFLogxKhttps://doi.org/10.1007/978-3-319-99127-6_43info:eu-repo/semantics/openAccessreponame:Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)instname:FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiainstacron:RCAAP2024-05-22T17:39:08Zoai:run.unl.pt:10362/68364Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireinfo@rcaap.ptopendoar:https://opendoar.ac.uk/repository/71602025-05-28T17:10:09.501753Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) - FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiafalse |
dc.title.none.fl_str_mv |
Control Charts to Support Trust Monitoring in Dynamic Logistics Networks |
title |
Control Charts to Support Trust Monitoring in Dynamic Logistics Networks |
spellingShingle |
Control Charts to Support Trust Monitoring in Dynamic Logistics Networks Abreu, António Collaborative networks Logistic Management Quality Trust Information Systems Computer Networks and Communications Information Systems and Management |
title_short |
Control Charts to Support Trust Monitoring in Dynamic Logistics Networks |
title_full |
Control Charts to Support Trust Monitoring in Dynamic Logistics Networks |
title_fullStr |
Control Charts to Support Trust Monitoring in Dynamic Logistics Networks |
title_full_unstemmed |
Control Charts to Support Trust Monitoring in Dynamic Logistics Networks |
title_sort |
Control Charts to Support Trust Monitoring in Dynamic Logistics Networks |
author |
Abreu, António |
author_facet |
Abreu, António Requeijo, José Calado, João M. F. Dias, Ana |
author_role |
author |
author2 |
Requeijo, José Calado, João M. F. Dias, Ana |
author2_role |
author author author |
dc.contributor.none.fl_str_mv |
DEMI - Departamento de Engenharia Mecânica e Industrial UNIDEMI - Unidade de Investigação e Desenvolvimento em Engenharia Mecânica e Industrial RUN |
dc.contributor.author.fl_str_mv |
Abreu, António Requeijo, José Calado, João M. F. Dias, Ana |
dc.subject.por.fl_str_mv |
Collaborative networks Logistic Management Quality Trust Information Systems Computer Networks and Communications Information Systems and Management |
topic |
Collaborative networks Logistic Management Quality Trust Information Systems Computer Networks and Communications Information Systems and Management |
description |
Nowadays, companies to be competitive must develop capabilities that enable them to respond quickly to market needs. According to some managers, the strategy is the development of dynamic logistics networks based on a collaborative environment. However, the absence of mechanisms to detect and even anticipate potential opportunistic behaviour is an obstacle to the proliferation of this way of working. The article aims to understand the role of trust to sustainability of collaborative processes. The paper begins by discussing the trust properties. It is then discussed how statistical control charts can be used to support the trust monitoring of each member within a collaborative ecosystem. The control charts’ tools suggested in this paper are the Z control charts for trust level monitoring and the Zi capacity index. Finally, it is discussed how this approach can be applied to dynamic logistics networks within the context of a collaborative ecosystem. |
publishDate |
2018 |
dc.date.none.fl_str_mv |
2018 2018-01-01T00:00:00Z 2019-05-02T22:05:10Z |
dc.type.driver.fl_str_mv |
conference object |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
https://doi.org/10.1007/978-3-319-99127-6_43 |
url |
https://doi.org/10.1007/978-3-319-99127-6_43 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
9783319991269 1868-4238 PURE: 10828955 http://www.scopus.com/inward/record.url?scp=85053777276&partnerID=8YFLogxK https://doi.org/10.1007/978-3-319-99127-6_43 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
13 application/pdf |
dc.publisher.none.fl_str_mv |
Springer New York LLC |
publisher.none.fl_str_mv |
Springer New York LLC |
dc.source.none.fl_str_mv |
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