P2P2B模式下工业互联网平台的云服务投入策略
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作者单位:

中南大学商学院

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中图分类号:

F272

基金项目:

国家自然科学基金资助项目(72272153);湖南省社会科学基金年度项目(23YBA021);湘江青年社科人才项目;中南大学高端智库项目(2022znzk11).


How to choose cloud service investment strategy for industrial Internet platform under P2P2B model? --Evolutionary perspective based on platform lifecycle
Author:
Affiliation:

the Business School of Central South University

Fund Project:

National Natural Science Foundation of China (72272153); Annual Project of Hunan Provincial Social Science Foundation (23YBA021); Xiangjiang Youth Social Science Talent Project; High-end Think Tank Project of Central South University (2022znzk11).

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    摘要:

    P2P2B模式下云服务投入是工业互联网(Industrial Internet of Things,IIoT)平台的关键战略决策之一. 构建由IIoT平台、龙头企业、潜在客户构成的演化博弈模型,研究IIoT平台在公有云研发投入和私有云研发投入中的策略选择及其与龙头企业的生态合作问题. 结果表明:虽然公有云存在数据泄露隐患,但较高的规模收益仍会吸引IIoT平台投入公有云研发,而平台搭建期内龙头企业的高合作意愿会促使平台投入私有云,但随着龙头企业合作研发的比例增加,平台又将改变其投入策略. 驱动龙头企业合作的因素可以是成本收益、技术提升等直接因素,也可以是规模收益、数据泄露概率等间接因素. 最后,基于平台生命周期探讨了初创期、平台搭建期与生态系统期IIoT平台的系统稳定策略并得到了相应的管理启示.

    Abstract:

    Cloud service investment in P2P2B mode is one of the key strategic decisions of Industrial Internet of Things (IIoT) platforms. An evolutionary game model consisting of IIoT platforms, leading enterprises, and potential customers is constructed to study the strategic choices of IIoT platforms in public cloud R&D investment and private cloud R&D investment and their ecological co-operation with leading enterprises. The results show that although the public cloud has data leakage potential, the higher returns to scale will still attract IIoT platforms to invest in public cloud R&D, while the high willingness to cooperate with leading enterprises during the platform construction period will prompt platforms to invest in private cloud, but as the proportion of collaborative R&D with leading enterprises increases, the platforms will change their investment strategies. The factors driving the cooperation of leading enterprises can be direct factors such as cost benefits and technology enhancement, as well as indirect factors such as scale benefits and data leakage probability. Finally, the system stabilisation strategies of IIoT platforms in the start-up, platform building and ecosystem phases are explored based on the platform life cycle and corresponding management insights are obtained.

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  • 收稿日期:2024-02-22
  • 最后修改日期:2024-07-09
  • 录用日期:2024-07-12
  • 在线发布日期: 2024-07-28
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