Control Charts to Support Trust Monitoring in Dynamic Logistics Networks

Detalhes bibliográficos
Autor(a) principal: Abreu, António
Data de Publicação: 2018
Outros Autores: Requeijo, José, Calado, João M. F., Dias, Ana
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: https://doi.org/10.1007/978-3-319-99127-6_43
Resumo: 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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spelling 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:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2024-05-22T17:39:08Zoai:run.unl.pt:10362/68364Portal AgregadorONGhttps://www.rcaap.pt/oai/openairemluisa.alvim@gmail.comopendoar:71602024-05-22T17:39:08Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse
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 reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
instacron:RCAAP
instname_str Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
instacron_str RCAAP
institution RCAAP
reponame_str Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
collection Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
repository.name.fl_str_mv Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
repository.mail.fl_str_mv mluisa.alvim@gmail.com
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