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<p>Innovation is the inexhaustible driving force for an enterprise to realize sustainable development, and enterprise management process reengineering within the innovation ecosystem is the key know-how for the growth of enterprise benefits. This paper focuses on the realization of enterprise management process reengineering within the innovation ecosystem. The study starts with the construction of an embedded innovation ecosystem model, and it is then analyzed for threshold effects. The hexadecimal structure of fuzzy Petri nets is used to establish a diagnostic model of enterprise management processes, and problems in enterprise management processes are supervised through fault tree analysis so as to improve and optimize the management processes and process reengineering of the enterprise. The research on enterprise management process reengineering in this paper employs F-cluster analysis and fuzzy C-mean cluster analysis to fully demonstrate the relationship between the activities of every management process in the enterprise. Through the study, it is concluded that the open innovation and shared cognitive capital variables designed in this paper in constructing the embedded innovation ecosystem model have successfully passed the reliability and validity test and play an important role in enterprise innovation. In the case study of enterprise management process reengineering, the management process of enterprise A that implemented process reengineering realized intelligent transformation. The resulting total share of production cost of enterprise A decreased to 91.2%, and the overall cost of energy saving was about 10% or so.</p>
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Innovation is the inexhaustible driving force for an enterprise to realize sustainable development, and enterprise management process reengineering within the innovation ecosystem is the key know-how for the growth of enterprise benefits. This paper focuses on the realization of enterprise management process reengineering within the innovation ecosystem. The study starts with the construction of an embedded innovation ecosystem model, and it is then analyzed for threshold effects. The hexadecimal structure of fuzzy Petri nets is used to establish a diagnostic model of enterprise management processes, and problems in enterprise management processes are supervised through fault tree analysis so as to improve and optimize the management processes and process reengineering of the enterprise. The research on enterprise management process reengineering in this paper employs F-cluster analysis and fuzzy C-mean cluster analysis to fully demonstrate the relationship between the activities of every management process in the enterprise. Through the study, it is concluded that the open innovation and shared cognitive capital variables designed in this paper in constructing the embedded innovation ecosystem model have successfully passed the reliability and validity test and play an important role in enterprise innovation. In the case study of enterprise management process reengineering, the management process of enterprise A that implemented process reengineering realized intelligent transformation. The resulting total share of production cost of enterprise A decreased to 91.2%, and the overall cost of energy saving was about 10% or so.

Research on Enterprise Management Process Reengineering Strategies for Integrating Innovation Ecosystems in the Age of Artificial Intelligence

Applied Mathematics and Nonlinear Sciences

This work is licensed under the Creative Commons Attribution 4.0 International License.

Innovation is the inexhaustible driving force for an enterprise to realize sustainable development, and enterprise management process reengineering within the...

Research on Enterprise Management Process Reengineering Strategies for Integrating Innovation Ecosystems in the Age of Artificial Intelligence

Published Online: Jul 09, 2024

Page range: -

Received: Mar 15, 2024

Accepted: Jun 08, 2024

DOI: https://doi.org/10.2478/amns-2024-1803

Keywords
Innovation ecosystem, Process reengineering, Cluster analysis, Petri net

© 2024 Yamin Huang., published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Research on Enterprise Management Process Reengineering Strategies for Integrating Innovation Ecosystems in the Age of Artificial Intelligence

Published Online: Jul 09, 2024

Page range: -

Received: Mar 15, 2024

Accepted: Jun 08, 2024

DOI: https://doi.org/10.2478/amns-2024-1803

KeywordsInnovation ecosystem, Process reengineering, Cluster analysis, Petri net

© 2024 Yamin Huang., published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Keywords
Innovation ecosystem, Process reengineering, Cluster analysis, Petri net