摘要
[目的/意义]将大数据服务作为驱动创新发展的根本动力,通过对创新联盟大数据服务定价问题的深入研究,为实现大数据的价值转化提供解决方案。[方法/过程]该文设计了由创新联盟大数据服务信息中心、大数据服务供、需企业三方参与的大数据服务交易模式,引入由交易时间、服务质量感知认同度及联盟供需信息匹配度构成的价格贴现因子,构建创新联盟大数据服务的三阶段Rubinstein动态定价模型,并求解各阶段交易双方的最优出价,分析贴现因子对大数据服务定价、交易双方收益的影响,运用Maple软件对联盟大数据服务动态定价过程中的价格与收益趋势进行仿真模拟。[结果/结论]研究结果发现,随着讨价还价次数的增多,贴现因子对大数据服务价格的影响将逐渐减小,但对交易双方收益的影响将逐渐增大。为保障交易双方收益,体现联盟信息匹配优势,交易双方应以各阶段最优价格为依据合理出价,提升交易合作的成功率,实现数据驱动创新目标。
[Purpose/Significance]Taking big data services as the fundamental driving force for innovation development, this paper provides solutions for the value transformation of big data through in-depth research on pricing of big data services in innovation alliance.[Method/Process]This paper designs a transaction model of big data service involving innovation alliance big data service information center, big data service supply and demand enterprises, introduces price discount factor composed of transaction time, perceived identity of service quality and information matching degree of alliance supply and demand, and constructs a three-stage Rubinstein dynamic pricing model for innovative alliance big data services, solves the optimal bids of both parties in each stage, analyses the impact of discount factor on the pricing of big data services and the profits of both parties, and simulates the price and revenue trends in the dynamic pricing of big data services in alliance by using Maple software.[Result/Conclusion]It is found that with the increase of bargaining times, the impact of discount factor on the price of big data services will gradually decrease, but the impact on the returns of both sides of the transaction will gradually increase. In order to ensure the profits of both parties and reflect the advantages of information matching, both parties should make reasonable bids based on the optimal price at each stage, improve the success rate of transaction cooperation, and achieve the goal of data-driven innovation.
作者
张树臣
陈伟
高长元
Zhang Shuchen;Chen Wei;Gao Changyuan(School of Economics and Management,Harbin University of Science and Technology,Harbin 150080;School of Economics and Management,Harbin Engineering University,Harbin 150001)
出处
《情报杂志》
CSSCI
北大核心
2020年第3期187-197,共11页
Journal of Intelligence
基金
国家自然科学基金项目“大数据联盟云服务模式研究”(编号:71672050)研究成果之一
教育部人文社会科学研究青年基金项目“大数据联盟数据资源交易管理体系与运行机制研究”(编号:19YJC630215)
黑龙江省哲学社会科学研究规划项目“黑龙江省移动云计算联盟知识资源整合、利用及创新机制研究”(编号:16GLC08)
黑龙江省博士后基金项目“移动云计算联盟知识网络的构建及运行模式研究”(编号:LBH-Z14068)研究成果之一
关键词
创新联盟
大数据服务
交易模式
动态定价
innovation alliance
big data service
transaction mode
dynamic pricing
