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作 者:陈杨 罗晓光 CHEN Yang;LUO Xiao-guang(School of Economics and Management,Harbin University of Science and Technology,Harbin 150086,China)
机构地区:[1]哈尔滨理工大学经济与管理学院
出 处:《情报科学》2019年第12期144-149,165,共7页Information Science
基 金:黑龙江哲学社会科学研究规划项目“基于顾客扩散能力的初创期电子商务企业价值评价”(16GLB03)
摘 要:【目的/意义】商业企业开放式创新社区是其商业模式创新过程中内部创新组织与客户进行知识共享和创新意见反馈的虚拟社区。如何与客户之间持续地进行知识共享推动创新是其成功的关键,同时为后续的相关研究提供实践指导。【方法/过程】在互联网背景下以商业企业商业模式创新为视角,利用三方博弈的方法,结合商业企业开放式社区的特点引入二元Logistic回归算法提高了原博弈模型的使用价值,通过优化后的三方博弈模型(Three party game model,TPGM),对社区中客户的知识共享行为进行分析,并进行了仿真验证。【结果/结论】研究结果表明本文提出的结合二元Logistic回归算法TPGM三方博弈模型,能实现每次对博弈模型迭代交叉变异比的动态控制,克服博弈模型自身原收敛速度慢的缺点。【Purpose/significance】The open innovation community of commercial enterprises is a virtual community built by internal innovation organizations embedded in the process of business innovation to provide innovation and knowledge sharing for customers. The priority to its success is how to make its users constantly share knowledge and ideas on the community, which provides practical guidance for subsequent related research as well.【Method/process】In the context of the Internet, this paper, from the perspective of business model innovation of commercial enterprises, uses the method of tripartite game and combines the characteristics of open community of commercial enterprises, and the binary logistic regression algorithm is introduced to improve the use value of the original game model. Through the optimized Three Party Game Model(TPGM), the knowledge sharing behavior of customers in the community is analyzed and verified by simulation.【Result/conclusion】Results show that the proposed TPGM tripartite game model combined with binary logistic regression algorithm can realize the dynamic control of the cross-convergence of the game model itself.
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