清晨好,您是今天最早来到科研通的研友!由于当前在线用户较少,发布求助请尽量完整地填写文献信息,科研通机器人24小时在线,伴您科研之路漫漫前行!

Stable Farsighted Coalitions in Competitive Markets

现状 微观经济学 经济 利润(经济学) 竞赛(生物学) 联盟 市场份额 结果(博弈论) 市场经济 财务 政治学 生态学 生物 法学
作者
Mahesh Nagarajan,Greys Sošić
出处
期刊:Management Science [Institute for Operations Research and the Management Sciences]
卷期号:53 (1): 29-45 被引量:91
标识
DOI:10.1287/mnsc.1060.0605
摘要

In this paper, we study dynamic alliance formation among agents in competitive markets. We look at n agents selling substitutable products competing in a market. In this setting, we examine models with deterministic and stochastic demand, and we use a two-stage approach. In Stage 1, agents form alliances (coalitions), and in Stage 2, coalitions make decisions (price and inventory) and compete against one another. To analyze the stability of coalition structures in Stage 1, we use two notions from cooperative games—the largest consistent set (LCS) and the equilibrium process of coalition formation (EPCF)—which allow players to be farsighted. Thus, in forming alliances, players consider two key phenomena: First, players trade off the size of the total profit of the system versus their allocation of this total pie, and second, they weigh the possibility that an immediate beneficial defection can trigger further counter defections that in the end may prove to be worse than the status quo. In particular, one such example is that of the grand coalition—which we show to be stable in the farsighted sense—even though players benefit myopically by defecting from it. We also provide conditions under which a situation of a few lone players competing against a large coalition is stable. We examine the impact of the size of the market (n), the degree of competition, the effect of cost parameters, and the variability of the demand process on the prices, inventory levels, and structure of the market. We discuss the possible strategic implications of our results to firms in a competitive market and for new entrants.

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
隐形曼青应助科研通管家采纳,获得10
1秒前
科研通AI2S应助科研通管家采纳,获得10
1秒前
愔愔应助科研通管家采纳,获得50
1秒前
欢呼亦绿完成签到,获得积分10
6秒前
zhzssaijj完成签到,获得积分10
7秒前
Wang_Joff完成签到,获得积分10
18秒前
路漫漫其修远兮完成签到 ,获得积分10
38秒前
woxinyouyou完成签到,获得积分10
1分钟前
wave8013完成签到 ,获得积分10
1分钟前
1分钟前
Nano发布了新的文献求助10
1分钟前
1分钟前
2分钟前
量子星尘发布了新的文献求助10
2分钟前
葛博发布了新的文献求助10
2分钟前
乐乐应助冬天该很好采纳,获得10
2分钟前
葛博完成签到,获得积分10
2分钟前
千里草完成签到,获得积分10
2分钟前
zone发布了新的文献求助10
2分钟前
慧子完成签到 ,获得积分10
3分钟前
zone完成签到,获得积分10
3分钟前
3分钟前
3分钟前
科研通AI2S应助科研通管家采纳,获得10
4分钟前
BowieHuang应助科研通管家采纳,获得10
4分钟前
愔愔应助科研通管家采纳,获得50
4分钟前
4分钟前
一个小瓜瓜完成签到,获得积分10
4分钟前
胡萝卜完成签到,获得积分10
4分钟前
4分钟前
FZ发布了新的文献求助10
4分钟前
5分钟前
Aliceq发布了新的文献求助10
5分钟前
DAVID给嘉心糖的求助进行了留言
5分钟前
Zn中毒完成签到,获得积分10
5分钟前
完美世界应助冬天该很好采纳,获得10
6分钟前
6分钟前
axiao完成签到,获得积分10
6分钟前
axiao发布了新的文献求助10
6分钟前
7分钟前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Kinesiophobia : a new view of chronic pain behavior 2000
Burger's Medicinal Chemistry, Drug Discovery and Development, Volumes 1 - 8, 8 Volume Set, 8th Edition 1800
Cronologia da história de Macau 1600
文献PREDICTION EQUATIONS FOR SHIPS' TURNING CIRCLES或期刊Transactions of the North East Coast Institution of Engineers and Shipbuilders第95卷 1000
BRITTLE FRACTURE IN WELDED SHIPS 1000
Lloyd's Register of Shipping's Approach to the Control of Incidents of Brittle Fracture in Ship Structures 1000
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 有机化学 纳米技术 计算机科学 化学工程 生物化学 物理 复合材料 内科学 催化作用 物理化学 光电子学 细胞生物学 基因 电极 遗传学
热门帖子
关注 科研通微信公众号,转发送积分 6151128
求助须知:如何正确求助?哪些是违规求助? 7979734
关于积分的说明 16575417
捐赠科研通 5262705
什么是DOI,文献DOI怎么找? 2808653
邀请新用户注册赠送积分活动 1788907
关于科研通互助平台的介绍 1656950