The Organization Model of Big Data Innovation Alliance: A Multi-Case Study from the Perspective of Virtual Clusters

The Big Data Innovation Alliance can be understood as a cross-industry and cross-region spatial agglomeration phenomenon based on Big Data. From the two aspects of constituent elements and organizational characteristics, the Big Data Innovation Alliance is found to be a learning organization with a...

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Veröffentlicht in:Journal of physics. Conference series 2020-10, Vol.1624 (3), p.32035
Hauptverfasser: Li, Tianzhu, Wang, Xiaomei
Format: Artikel
Sprache:eng
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Zusammenfassung:The Big Data Innovation Alliance can be understood as a cross-industry and cross-region spatial agglomeration phenomenon based on Big Data. From the two aspects of constituent elements and organizational characteristics, the Big Data Innovation Alliance is found to be a learning organization with a flat management structure. A multi-case study method is used to empirically test the virtual cluster characteristics of the big data innovation alliance organization model using four typical cases, and to analyze its generality and specificity based on the research variables. Several policy implications have been obtained for the big data innovation alliance organization model.
ISSN:1742-6588
1742-6596
DOI:10.1088/1742-6596/1624/3/032035