Multi-period price competition of blockchain-technology-supported and traditional platforms under network effect

块链 动态定价 竞赛(生物学) 竞争对手分析 互补性商品 定价策略 网络效应 计算机科学 产业组织 业务 微观经济学 经济 营销 计算机安全 生态学 生物
作者
Ting Zhang,Peimiao Li,Ningning Wang
出处
期刊:International Journal of Production Research [Taylor & Francis]
卷期号:61 (11): 3829-3843 被引量:68
标识
DOI:10.1080/00207543.2021.1884308
摘要

We build a multi-period pricing model between a blockchain-technology-supported platform and a traditional platform, where the blockchain-technology-supported platform provides a higher value for customers. Customers are influenced by network effect, that is, they value a platform more if the platform has more users. As either platform can adopt static pricing or dynamic pricing, four scenarios may occur. By deriving the equilibrium of each scenario, we reveal the 'Matthew effect' caused by network effect, that platform advantage (from adopting blockchain technology) or disadvantage (from not adopting blockchain technology) accumulates as time goes by. Thus, platforms are advised to adopt the blockchain technology antecedent to the competitors. Network effect, which amplifies the benefit of initial users, may intensify price competition and harm both platforms. By comparing the four scenarios, we derive the equilibrium pricing strategies: when network effect is weak, one platform adopts static pricing and the other adopts dynamic pricing; when network effect is medium, the blockchain-technology-supported platform adopts static pricing and the traditional platform adopts dynamic pricing; and when network effect is strong, both platforms adopt dynamic pricing. Dynamic pricing is more desirable for the traditional platform relative to the blockchain-technology-supported platform.
最长约 10秒,即可获得该文献文件

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
如意道消发布了新的文献求助30
刚刚
柠檬发布了新的文献求助30
刚刚
好纠结应助QH采纳,获得10
刚刚
高大的冰双完成签到,获得积分10
刚刚
柚屿发布了新的文献求助10
1秒前
1秒前
科研通AI6.2应助禾急采纳,获得10
1秒前
桐桐应助扶桑采纳,获得10
2秒前
完美世界应助jing采纳,获得10
2秒前
飞快的慕山应助DiJia采纳,获得10
3秒前
1104481279应助勤劳的尔丝采纳,获得10
3秒前
4秒前
付辛博boo完成签到,获得积分10
4秒前
Hello应助如意道消采纳,获得10
5秒前
5秒前
无私的冬瓜完成签到,获得积分10
5秒前
完美世界应助qinsu采纳,获得10
6秒前
奋斗含巧完成签到,获得积分10
6秒前
Jasper应助火蓝采纳,获得10
7秒前
7秒前
金也完成签到,获得积分10
8秒前
wk有若完成签到,获得积分10
8秒前
8秒前
8秒前
今后应助科研通管家采纳,获得10
10秒前
七七发布了新的文献求助10
10秒前
搜集达人应助科研通管家采纳,获得10
10秒前
10秒前
10秒前
充电宝应助科研通管家采纳,获得10
10秒前
心旷神怡完成签到,获得积分10
10秒前
研友_VZG7GZ应助科研通管家采纳,获得10
10秒前
天天快乐应助柚屿采纳,获得10
10秒前
10秒前
酷波er应助科研通管家采纳,获得10
10秒前
乐乐应助科研通管家采纳,获得10
11秒前
香蕉觅云应助科研通管家采纳,获得10
11秒前
jing完成签到,获得积分10
11秒前
FashionBoy应助科研通管家采纳,获得10
11秒前
李爱国应助科研通管家采纳,获得10
11秒前
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
Römisch-Germanische Forschungen 1000
China Pluperfect I: Epistemology of Past and Outside in Chinese Art 520
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
The fast track to determining transfer functions of linear circuits: The student guide 500
The Analytical and Numerical Solution of Electric and Magnetic Fields 500
Green Fire Retardants for Polymeric Materials 400
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7615103
求助须知:如何正确求助?哪些是违规求助? 9190415
关于积分的说明 19692033
捐赠科研通 7187658
什么是DOI,文献DOI怎么找? 3271223
关于科研通互助平台的介绍 2434530
邀请新用户注册赠送积分活动 2266354