带邀请行为的团购的比例与领导奖金规则

IF 0.9 4区 管理学 Q4 OPERATIONS RESEARCH & MANAGEMENT SCIENCE Operations Research Letters Pub Date : 2025-04-04 DOI:10.1016/j.orl.2025.107285
Hang Chen , Genjiu Xu , Li Zhang
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引用次数: 0

摘要

团购利用了集体购买力,邀请提高了数量和利润。本文提出了按采购量分配利润和邀请奖励领导的领导奖金比例原则。为了防止虚假邀请和串通,分析了防假名(FNP)和防合并(CP)。领导者收入一致性(LIC)和双边比例一致性(BRC)确保公平的领导者奖励和平衡采购数量和邀请。PLB规则具有单人效率、FNP、CP、LIC和BRC的公理特征,为公平的利润分配提供了一个健全的框架。
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Proportional-with-Leader-Bonus rules for group-buying with invitation behavior
Group-buying leverages collective purchasing power, with invitations boosting volume and profit. This paper proposes Proportional-with-Leader-Bonus (PLB) rules, allocating profit by purchasing volume and rewarding leaders for invitations. To prevent fake invitations and collusion, False-Name-Proof (FNP) and Consolidation-Proof (CP) are analyzed. Leader Income Consistency (LIC) and Bilateral Ratio Consistency (BRC) ensure fair leader rewards and balance purchasing volume and invitations. The PLB rules are axiomatically characterized by Single-person efficiency, FNP, CP, LIC, and BRC, providing a robust framework for fair profit allocation.
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来源期刊
Operations Research Letters
Operations Research Letters 管理科学-运筹学与管理科学
CiteScore
2.10
自引率
9.10%
发文量
111
审稿时长
83 days
期刊介绍: Operations Research Letters is committed to the rapid review and fast publication of short articles on all aspects of operations research and analytics. Apart from a limitation to eight journal pages, quality, originality, relevance and clarity are the only criteria for selecting the papers to be published. ORL covers the broad field of optimization, stochastic models and game theory. Specific areas of interest include networks, routing, location, queueing, scheduling, inventory, reliability, and financial engineering. We wish to explore interfaces with other fields such as life sciences and health care, artificial intelligence and machine learning, energy distribution, and computational social sciences and humanities. Our traditional strength is in methodology, including theory, modelling, algorithms and computational studies. We also welcome novel applications and concise literature reviews.
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