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| Scenario-Based Competitive Industrial Intelligent Service Model for National Strategy |
| Zheng Rong1,2, Wang Xiaoyu1, Gao Zhihao1, Wei Mingzhu1 |
1.School of Business and Management, Jilin University, Changchun 130012
2.Information Resources Research Center, Jilin University, Changchun 130012 |
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Abstract To describe industrially competitive intelligence service with fine granularity, this study constructs a scenario-based model for industrial competitive intelligent service, to enable the high-quality development of industry in complex environments. First, by inspecting domestic and foreign research on “scenario-based service, industrial competitive intelligence service model, intelligent intelligence, and intelligence intelligent service,” the concept of “scenario-based intelligent service for industrial competitive intelligence” is advanced, following the research logic of “strategic leadership and demand traction, scenario positioning and fine-grained characterization, parallel systems and virtual-real interactions, paradigm shift and service dimension upgrading” to construct a scenario-based intelligent service model of industrial competitive intelligence by fusing scenario theory and parallel intelligence thought. Based on an empirical study conducted on the new energy automobile industry, this study proposes an effective path for industrial competitive intelligence service. Four scenarios of intelligence service are considered for industry, including digital upgrading, core technology, emergency coordination, new industry, and new business cultivation, based on the five-tuple description of industrial intelligence scenarios, providing a panoramic description of the dimensions of service content, subject, object, tool/means, and capability. Accordingly, a scenario-based competitive industrial intelligent service model is constructed for national strategy, based on the new energy automobile industry as an example, to verify the feasibility and effectiveness of the model.
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Received: 24 May 2023
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