Simulation of Trust in Supply Chains

Ouzrout, Yacine; Chaze, L.; Lavastre, Olivier; Dominguez, Carine; Akhter, Syed H.

doi:10.1002/9781118558065.ch8

Cited by 4 publications

(14 citation statements)

References 59 publications

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“…Xu [48] has discussed bargaining power as the ability of a party to exert influence over another party and influence the outcome of the negotiation. Moreover, Ouzrout et al [22] refer to opportunism as a particular form of the inconsistency of purpose. These three issues are key to logistics collaboration, and they represent diverse aspects by which partner behaviors can be described.…”

Section: Analysis and Identification Of Issues Influencing Partner Trustmentioning

confidence: 99%

“…This exchange, according to Madlberger [47] is a voluntary activity dominated largely by internal considerations. As such, understanding criteria which influence behavioral practices associated with information exchange is a [22,44,53,57,64] An exchange partner believing that an ongoing relationship with another is so important as to warrant maximum efforts at maintaining it [61] 2 Capability [33,51,53] The members' competence or work standard, skill, knowledge, and ability to fulfill a promise, agreement, or obligation [33] 3 Information sharing [18, 23, 31, 32, 42, 46, 47, 53-55, 58, 64] The act of capturing and disseminating timely and relevant information for decision makers to plan and control supply chain operations [32] 4…”

Section: Information Sharingmentioning

confidence: 99%

“…Bargaining power [18,32,44,48,49,57,64] The ability of a person, group, or organization to exert influence over another party in order to influence the outcome of the negotiation and to achieve a favorable deal [48] 10 Opportunism [22,31,33,38,40,44,49,52,55,57] A particular form of inconsistency of purpose, involving disclosure of incomplete/misleading information, especially calculated efforts to mislead, distort, disguise, confuse, or cause confusion [22] necessary [23]. Such behavioral practices can appear in opponent facets, termed as beneficial or detrimental.…”

Section: Information Sharingmentioning

confidence: 99%

“…It has been established that it is difficult to determine potential cost savings [38,49] as well as ensuring a fair allocation of the shared workload in advance [6]. Overall, despite proposed sharing The ability of a party to exert influence over others for influencing the outcome of the negotiation [22,31,33,38,40,49,52,55,57] Opportunism Claim of shares A behavior that the partner claims either fair or unfair share of the value created…”

Section: Incentive Alignmentmentioning

confidence: 99%

“…In the past and of recent, several publications have appeared to address trust under various domains of applications. Illustratively, in a CNs arena, roles and necessity of trust to overcome opportunism, selfish and alliance failure [20][21][22][23] have been examined. Measurement of trust [24][25][26], as well as partner selection strategies [27,28], has been proposed even though Huang and Wilkinson [29] have affirmed that more literature on trust research has largely been of historical, processual, and contextual.…”

Section: Introductionmentioning

confidence: 99%

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Behavioral factors influencing partner trust in logistics collaboration: a review

2016

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Logistics collaboration has emerged a prevalent strategy to mitigate challenge individuals and organizations encounter. A successful collaboration, however, depends on certain trustworthy behaviors partner exhibit. To that end, understanding aspects constituting behavioral uncertainty and mechanisms by which such aspects affect partner trust is a necessary. This necessity counts on emergent behavioral trust uncertainties, constituted by partner's actions and interactions occurring during collaboration. While this is a necessary requirement, most of the studies in the literature lack to take into account the influence of behavioral uncertainty on collaboration and partner trust. To that effect, this paper uncovers outlined limitation by establishing behavioral factors influencing partner trust in operational stage of logistics collaboration. To accomplish this objective, a systematic literature review (SLR) is deployed to consolidate research domains of logistics, supply chain, collaboration, and trust. SLR proceeds by defining a review protocol, followed by a search process conducted in 5 databases using 20 search terms on articles published between 2001 and 2015 inclusively. Among findings this SLR has revealed are four behavioral factors and thirteen criteria proposed to affect partner trust. Additionally, these factors constitute success and measurable criteria needed for empirical investigation which may employ experimental and/or case-study methods. Moreover, synthesized factors extend further an understanding of behavioral trust in ad hoc collaborative networks, a large part of which being supported by networks of humans and computers. Keywords Trust Á Partner trust Á Resource sharing Á Behavioral trust Á Logistics collaboration This article is part of a focus collection on ''Dynamics in Logistics: Digital Technologies and Related Management Methods''.

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Section: Analysis and Identification Of Issues Influencing Partner Trustmentioning

confidence: 99%

Section: Information Sharingmentioning

confidence: 99%

Section: Information Sharingmentioning

confidence: 99%

Section: Incentive Alignmentmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Behavioral factors influencing partner trust in logistics collaboration: a review

2016

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Influence of Information Sharing Behavior on Trust in Collaborative Logistics

Daudi

Hauge

Thoben

2017

Collaboration in a Data-Rich World

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Collaborations are based on mutual trust to strengthen confidence in the sharing of various resources such as information. Particularly in logistics, collaborations benefit emerged rich-data environments to successfully manage demand fluctuation and visibility of in-store logistics; as well as the sharing of physical assets. Shared information is gathered from various sources and manipulated by specific partner to match or maximize individual payoff. Such information may become vulnerable to information sharing behavior of the partner to henceforth affect trust. This paper investigates the influence of the information sharing behavior on trust. It focuses on a dimension of information accuracy to answer a research question: how do information sharing behaviors of partner affect trust in logistics collaboration? A framework of information behavior is established, and subsequently a trust model specified. Afterwards, simulation experiments are conducted to observe resulting impacts. Results unveil that both, the positively and negatively manipulated information influence trust in similar magnitudes. It is further argued that partner's deceitful behavior underlying information sharing can be reduced although it might be difficult to eliminate.

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H∞ Consistency of T-S Fuzzy Supply Chain System Based on Trust Mechanism

Huang,

2024

Applied Sciences

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As the market environment becomes increasingly complex, the demands for supply chain performance and security are continuously rising. Consequently, it is crucial to consider the role of trust factors within the system. This paper introduces a trust mechanism in the interaction between supply and demand within supply chain logistics and information flow. The supply chain system, characterized by varying degrees of trust, is modeled as multiple subsystems using the T-S fuzzy model. The challenge of mitigating the bullwhip effect, which refers to the amplification of demand variability within the supply chain, is reformulated as an H∞ consistency problem. A productivity and distributed consistency protocol switching controller based on fuzzy rules is designed, providing sufficient conditions for the entire system to achieve consistency. The proposed method effectively suppresses the bullwhip effect and allows certain nodes in the system to be temporarily in an abnormal state. Finally, the method’s effectiveness is validated through simulation examples.

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Simulation of Trust in Supply Chains

Cited by 4 publications

References 59 publications

Behavioral factors influencing partner trust in logistics collaboration: a review

Behavioral factors influencing partner trust in logistics collaboration: a review

Influence of Information Sharing Behavior on Trust in Collaborative Logistics

H∞ Consistency of T-S Fuzzy Supply Chain System Based on Trust Mechanism

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