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| Construction of Industrial Competitive Intelligence Service Platform in a Multisource Data Environment Based on the “Ternary World” and CPSS Theory |
| Gao Zhihao1, Zheng Rong1,2, Wei Mingzhu1, Lei Yaxin1 |
1.School of Business and Management, Jilin University, Changchun 130012
2.Information Resources Research Center, Jilin University, Changchun 130012 |
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Abstract In multisource data environments and complex information scenarios, the optimization and upgradation of industrial competitive intelligence services have become key to promoting a new round of industrial development and industrial chain optimization. The Chinese industry must urgently build a systematic competitive intelligence service platform to enable the healthy development of the industry in this era of great changes and complex international competition. This study focuses on the multisource data environment, uses the semi-structured interview method to investigate the current situation of industrial competitive intelligence service platforms, conducts a multidimensional analysis and data fusion of multisource data from the physical world, information space, and human society based on the Ternary World and cyber-physical-social systems (CPSS) modeling concepts, decomposes and reorganizes the elements of industrial competitive intelligence in terms of deconstruction, and then builds an intelligent service platform model for an industrial competitive intelligence. Finally, this study formed an industrial competitive intelligence service platform implementation path (intelligence collaborative collection and processing, multisource data cross modal and cross structure fusion, alliance chain distributed intelligence data storage, intelligence knowledge mining and discovery, and customized intelligent service) to provide integrated, intelligent, accurate, personalized and early-warning, “targeted” intelligent intelligence services for China’s industrial development.
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Received: 14 June 2022
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