中国管理科学 ›› 2022, Vol. 30 ›› Issue (6): 244-253.doi: 10.16381/j.cnki.issn1003-207x.2019.1447
刘征驰1, 马滔1,2, 叶宇阳1
收稿日期:
2019-09-23
修回日期:
2020-03-11
出版日期:
2022-06-20
发布日期:
2022-06-24
通讯作者:
马滔(1989-),男(汉族),湖北荆州人,清华大学经济管理学院,博士后,经济学博士,研究方向:知识付费、数据治理、隐私保护与平台经济,Email:hnu2010matao@hnu.edu.cn.
E-mail:hnu2010matao@hnu.edu.cn
基金资助:
LIU Zheng-chi1, MA Tao1,2, YE Yu-yang1
Received:
2019-09-23
Revised:
2020-03-11
Online:
2022-06-20
Published:
2022-06-24
Contact:
马滔
E-mail:hnu2010matao@hnu.edu.cn
摘要: 互联网知识付费中,知识产品价值对供需双方皆具有“隐匿性”。而网络社群作为产品体验信息的重要来源,在知识价值“显现化”过程中发挥着关键作用。基于此,本文将社群交互因素纳入知识付费两期动态定价博弈模型,深入探讨社群学习机制对最优定价策略的影响。模型分析发现:①最优社群价格存在上限阈值,以确保营造良好社群学习氛围。②最优市场价格依赖于知识成本、消费者参与收益和知识价值后验信念,与知识价值之间呈现“非线性”关系。③知识产品一般应采取渗透式定价方式,而消费者耐心程度、社群活跃度与社群交互效率对均衡价格具有重要影响。进一步福利分析表明,互联网社群学习情境将提升提供者收益。本文揭示了互联网知识交易定价的深层逻辑:社群学习引致的“策略效应”和“信息效应”重塑了消费者行为模式,进而倒逼提供者采取适应性动态定价机制。
中图分类号:
刘征驰, 马滔, 叶宇阳. 隐匿价值、社群学习与知识付费动态定价[J]. 中国管理科学, 2022, 30(6): 244-253.
LIU Zheng-chi, MA Tao, YE Yu-yang. Concealed Value, Community Learning and Dynamic Pricing of Knowledge Payment[J]. Chinese Journal of Management Science, 2022, 30(6): 244-253.
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