2014
DOI: 10.1016/j.omega.2014.05.008
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A delay-in-payment contract for Pareto improvement of a supply chain with stochastic demand

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Cited by 48 publications
(17 citation statements)
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“…Özer and Wei (2006) show that a combination of buyback and advance purchase contract induces credible information sharing and coordinates the supply chain. There are some articles studying contract design to coordinate the supply chain, including, among others, Cachon and Lariviere (2005), Palsule-Desai (2013), and Gao et al (2014). In contrast, we study the incentives for directly sharing information instead of screening or signaling the information indirectly.…”
Section: Introductionmentioning
confidence: 99%
“…Özer and Wei (2006) show that a combination of buyback and advance purchase contract induces credible information sharing and coordinates the supply chain. There are some articles studying contract design to coordinate the supply chain, including, among others, Cachon and Lariviere (2005), Palsule-Desai (2013), and Gao et al (2014). In contrast, we study the incentives for directly sharing information instead of screening or signaling the information indirectly.…”
Section: Introductionmentioning
confidence: 99%
“…Third, our model reveals whether trade credit can improve partner profitability in a dual‐channel supply chain, and explores the impact of partner interest rates, retail channel market share, and cross‐price elasticity. This approach contrasts with the scenario of a single‐channel supply chain, in which past studies have generally concluded that the trade credit benefits the partners (e.g., Luo and Zhang, ; Gao et al., ).…”
Section: Introductionmentioning
confidence: 94%
“…Gao et al. () discuss a trade credit contract for a Pareto‐driven improvement of the supply chain under stochastic demand and multi‐period terms. Tong et al.…”
Section: Literature Reviewmentioning
confidence: 99%
“…In this section, we give several numerical examples under both disadvantageous and advantageous inequality to illustrate the above theoretical results. For the purpose of our numerical demonstration, we consider that the logistics demand in the market follows the normal distribution [18,35], ∼ (1000, 100 2 ).…”
Section: Numerical Examplesmentioning
confidence: 99%