Effects of Decision Synchronization on Trust in Collaborative Networks

Daudi, Morice; Hauge, Jannicke Baalsrud; Thoben, Klaus‐Dieter

doi:10.1007/978-3-319-45390-3_19

Cited by 3 publications

(2 citation statements)

References 14 publications

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“…In this framework, key collaborating partners are identified and modeled using the agent-based modeling approach. Secondly, a trust simulation model that draws largely from [19] is formalized and corresponding hypotheses derived. Thirdly, simulation experiment is designed and necessary settings specified to run experiments.…”

Section: Methodsmentioning

confidence: 99%

“…In each cycle partner develops an expectation that is to be compared with reality thereof. In the matter of this, this paper advances on the trust mechanism proposed already in [19]. This mechanism emphasizes that human trusting process propagates in three stages: intention to trusting; action to trusting, and; transaction to trusting.…”

Section: Trust Model and Hypothesesmentioning

confidence: 95%

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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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Section: Methodsmentioning

confidence: 99%

Section: Trust Model and Hypothesesmentioning

confidence: 95%