The challenges for big data driven research and applications in the context of managerial decision-making:Paradigm shift and research directions
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C930

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    Abstract:

    In the era of digital life and business,traditional management has become or is becoming data-centric management,and traditional decision-making has become or is becoming data-analytics-based decision-making. From the big data characteristics in light of its data nature,problem nature and managerial decision-making nature,this paper elaborates the paradigm shift of research and applications on managerial decision-making. The big data-driven paradigm is described from three aspects: external embedding,technology augmentation,and enabled innovation,to reflect a“correlation + causality”viewpoint in a“data-driven + model-driven”manner. In addition,the panoramic PAGE framework as well as its key elements are discussed with respect to the big data characteristics and important research directions.

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  • Online: October 25,2021
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