Trust in supply forecast information sharing

Firouzi, Fatemeh; Jaber, Mohamad Y.; Baglieri, Enzo

doi:10.1080/00207543.2015.1068961

Cited by 13 publications

(8 citation statements)

References 20 publications

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“…Similar to [11], one key difference is that findings in [3] do not reveal an extent of this impact as it has been addressed in the present paper. Finally, it has been found that supplier tends to deviate from reporting true information [6]. This finding relates to what this study reports especially on the aspect of certain (neutral) information accuracy.…”

Section: Resultssupporting

confidence: 75%

“…In [3] authors explore how trust impacts the level of shared information. Using the supplier and manufacturer as subjects, authors in [6] investigate the role of trust in supply forecast. Moreover, in [7] authors study supply chain coordination with the trust-embedded cost-sharing contract.…”

Section: Trust In the Context Of Information Sharing In Logisticsmentioning

confidence: 99%

“…Under this stream information accuracy stands on a continuum of information certainty and uncertainty. Concordant to [6], logistics elements such as the production capacity, market demand, and forecasts are modeled to be affected by a specific factor. This means that collaborating partners are enabled to manipulate (modify/distort) or retain the factual beliefs (true/actual information) before they exchange it.…”

Section: Trust Model and Hypothesesmentioning

confidence: 99%

“…The literature [3,4,5] conceive the qualitative form using constructs such as "no information sharing", "limited information sharing", and "full information sharing". Such constructs have been used in [3], [6], [7]. The no information sharing, according to [8] means sharing only actual orders and excluding tiers of width and distance of sharing.…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

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: Resultssupporting

confidence: 75%

Section: Trust In the Context Of Information Sharing In Logisticsmentioning

confidence: 99%

Section: Trust Model and Hypothesesmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Influence of Information Sharing Behavior on Trust in Collaborative Logistics

Daudi

Hauge

Thoben

2017

Collaboration in a Data-Rich World

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“…Moreover, if the client's prior belief about the vendor's productivity is extremely high or low, the client can maximise supply chain profit by offering the above-mentioned contract. Firouzi, Jaber, and Baglieri (2016) examine the impact of supply forecast signalling in a two-echelon supply chain with one upstream supplier and one downstream manufacturer, also considering moral hazard. They assume that the supplier, who has a private forecast of yield risk, can decide to share the forecast truthfully or not.…”

Section: Agreement Contracts With Supply Information Asymmetrymentioning

confidence: 99%

A review on supply chain contracting with information considerations: information updating and information asymmetry

Shen

Choi

Minner

2018

International Journal of Production Research

230

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Supply chain contracting and the use of information are undoubtedly two critical and influential areas in modern supply chain management. However, relatively little is known about supply chain contracting mechanisms with different information settings. To fill this gap, we review and classify the related supply chain contracting literature into three categories with respect to different kinds of information considerations, namely (i) demand information updating, (ii) supply information updating and (iii) information asymmetry. We report the publication trend and classify the commonly studied supply chain contracts with the use of information such as pricing contracts, commitment contracts and menu of contracts. We discuss how contracting and the use of information influence each other in the supply chain. Moreover, we review the major application areas of information usage and report the historical development of major related topics. Finally, we propose several important future research directions.

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The Influence of Product Architecture and Supply Chain Concentration on Supply Chain Performance

Duan

Chen

2020

Ieis2019

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Trust in supply forecast information sharing

Cited by 13 publications

References 20 publications

Influence of Information Sharing Behavior on Trust in Collaborative Logistics

Influence of Information Sharing Behavior on Trust in Collaborative Logistics

A review on supply chain contracting with information considerations: information updating and information asymmetry

The Influence of Product Architecture and Supply Chain Concentration on Supply Chain Performance

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