首页 | 本学科首页   官方微博 | 高级检索  
     

知识动态能力视角的电商平台大数据分析价值链战略
引用本文:丰佳栋. 知识动态能力视角的电商平台大数据分析价值链战略[J]. 中国流通经济, 2021, 0(2)
作者姓名:丰佳栋
作者单位:内蒙古财经大学工商管理学院
基金项目:2013年国家社会科学基金资助项目“公立医院服务补救机制的建立与完善”(13XGL020)。
摘    要:电子商务领域信息技术的开放性提高了服务创新的可见性,为适应多维度要素交互的平台竞争环境,需要基于电商平台丰富的数据资源,通过大数据分析提高战略规划的动态性、灵活性和响应敏捷性,形成一种能够快速集合与组织资源的模式,实现业务价值传递的可持续,满足竞争对抗与互动以及时间轴动态演化的需要。鉴于此,基于大数据分析、知识管理、动态能力、业务流程理论和指向性网络调查数据,构建大数据分析价值链战略研究模型,探讨大数据分析、动态能力、流程级创新与核心竞争力及战略绩效之间的关联。研究结果表明,大数据分析能实现有效的内生源和外生源知识管理,帮助企业形成动态能力,构建核心竞争力,进而提高战略绩效;大数据分析能提高企业组织的灵活性,可作为企业在竞争中赖以生存发展的战略投资;外生源知识管理和内生源知识管理均可单独运作产生知识动态能力,但外生源知识管理的作用更显著有效,更值得重视;知识共享是流程级创新的潜在障碍,与合作商进行知识共享需要选择合适的路径;动态能力既可直接影响流程级创新与核心竞争力,也可调节知识资产对竞争力的影响。总之,大数据分析能够通过影响动态能力和流程级创新来提高核心竞争力,且动态能力在知识管理与流程级创新及核心竞争力(战略绩效)间具有中介作用,电商平台应客观认识大数据分析潜在价值,将之纳入信息技术战略,通过梳理大数据分析→动态能力→核心竞争力→战略绩效的价值链过程,形成战略协同,最终提高知识创新的边际绩效。

关 键 词:大数据分析价值链战略  知识管理  知识动态能力  流程级创新  核心竞争力

E-business Platform Big Data Analysis Value Chain Strategy from the Perspective of Knowledge Dynamic Capability
FENG Jia-dong. E-business Platform Big Data Analysis Value Chain Strategy from the Perspective of Knowledge Dynamic Capability[J]. China Business and Market, 2021, 0(2)
Authors:FENG Jia-dong
Affiliation:(School of Business Management,Inner Mongolia University of Finance&Economic,Huhhot 010070,Inner Mongolia,China)
Abstract:The dissemination of e-commerce big data information technology increases the visibility of service innovation.To adapt to the competition environment of multidimensional element interaction platform,based on the abundant data resource of e-commerce platform,we could improve the dynamics,flexibility,and responsiveness of strategic planning by using big data analysis,cultivate a pattern that can rapidly integrate and organize resources,realize the sustainability of business value transmission,and meet the requirement of competitive confrontation and interaction,and timeline dynamic evolution.Because of this,we could,based on big data analysis,knowledge management,dynamic capability,business process theory,and directive online investigation data,formulate the big data analysis value chain strategy(BDAVCS)to analyze the relationship between big data analysis,dynamic capability and process innovation,and the core competitiveness and strategic performance.It is found that:big data analysis can realize the effective internal and external knowledge management,help the enterprises to cultivate their dynamic capability,foster the core competitiveness,and improve strategic performance;big data analysis can improve the flexibility of enterprise organizations,and can be used as the strategic investment for the enterprises to survive and develop in competition;both the external and internal knowledge management could independently operate to generate knowledge dynamic capability(KDC),while we should pay more attention to the external knowledge management because of its more significant effectiveness;knowledge sharing is the potential barrier for process innovation,and knowledge sharing with business partners should be carried out through a suitable way;and dynamic capability can not only have direct impact on process innovation and core competitiveness,but also play the role in mediating the impact of knowledge asset on competitiveness.Generally speaking,big data analysis can improve core competitiveness byhaving influence on dynamic capability and process innovation;dynamic capability plays the mediatory role between knowledge management and process innovation,and core competitiveness(strategic performance);and e-business platforms should objectively understand the potential value of big data analysis,involve it into IT technology,form the strategic coordination,and finally improve the marginal performance of knowledge innovation.
Keywords:BDAVCS  KDC  knowledge management  process innovation  core competitiveness
本文献已被 维普 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号