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面向大数据管理决策研究的全景式PAGE框架

Panoramic PAGE framework for big data research on managerial decision-making

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【作者】 陈国青张维任之光管悦卫强

【Author】 CHEN Guo-qing;ZHANG Wei;REN Zhi-guang;GUAN Yue;WEI Qiang;School of Economics and Management, Tsinghua University;College of Management and Economics, Tianjin University;Department of Management Science, National Natural Science Foundation of China;School of Economics and Management, Communication University of China;

【通讯作者】 管悦;

【机构】 清华大学经济管理学院天津大学管理与经济学部国家自然科学基金委员会管理科学部中国传媒大学经济与管理学院

【摘要】 大数据和人工智能的飞速发展增加了管理决策领域的复杂性和动态性,也为研究和应用提供了广袤的拓新空间.全景式PAGE框架作为大数据管理决策研究的方向性框架,在大数据问题特征的映射下形成了一个4×3要素矩阵,在理论范式(P)、分析技术(A)、资源治理(G)、使能创新(E)的研究探索中发挥着重要作用.本文结合NSFC大数据重大研究计划的开展,进一步阐释全景式PAGE框架的内涵和关系逻辑,并面向领域情境讨论重要科学问题、求解路径和新知贡献.本文旨在从大数据管理决策研究的视角为大数据等颠覆性信息技术应用的相关研究提供前沿方向和创新突破上的启迪;同时为管理学科及其相关学科领域开展交叉属性强、应用情境差异化特点突出的科研攻关提供参考.

【Abstract】 The rapid progress of big data and artificial intelligence increases the complexity and dynamics of managerial decision-making, and also provides considerable space for research and applications. As a directional blueprint, the proposed panoramic PAGE framework features a 4×3 matrix based on the nature of big data issues, playing an important role in explorations on theoretical paradigm(P), analytics technologies(A), resource governance(G) and innovation enabling(E). In light of the NSFC’s grand research plan on big data, this article elaborates the core concepts and links of the panoramic PAGE framework, as well as the key scientific issues of related contexts, problem-solving route-maps and novel contributions. The aim of this article is twofold: one is to highlight important directions and innovative breakthroughs regarding research on applications of big data-related disruptive technologies, from the perspective of big data research on managerial decision-making; the other is to shed light on large-scale, multidisciplinary and multi-contextual research initiatives in management science and related domains.

【基金】 国家自然科学基金资助项目(92246001; 72202220; 91846000)
  • 【文献出处】 管理科学学报 ,Journal of Management Sciences in China , 编辑部邮箱 ,2023年05期
  • 【分类号】TP311.13
  • 【下载频次】65
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