System Dynamics Modeling and Simulation of Enterprise Patent Management Optimization

Zeng, Xi; Deng, Lianbing; Li, Wenyu

doi:10.1109/access.2021.3129246

Cited by 3 publications

(1 citation statement)

References 35 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The different nature of the enterprise has various types of files; the enterprise itself will produce different types of files and the complexity of the kind of enterprise files on the enterprise archives work puts forward high requirements [1]. Enterprise archive talent is the key factor in ensuring the quality of enterprise archive work [2].…”

Section: Introductionmentioning

confidence: 99%

A Study of the Impact of Integrating Artificial Intelligence with the Archival Profession under Data Mining

Wang,

Li,

et al. 2024

Applied Mathematics and Nonlinear Sciences

View full text Add to dashboard Cite

This paper integrates data mining technology into the technical processing layer of the “Artificial Intelligence +” archive intelligent service system to provide technical support for massive archive data. Using association rules, archive classification, Mean-Shift clustering, and other techniques to reveal the relationship between archives and users, archives, archives, and various practical activities so as to play the role of the information of these archive data at a deeper level. Applying the “Artificial Intelligence +” archive wisdom service system to the actual operation of the business management of college archive professional teachers, the results show that the speed of “Artificial Intelligence +” database entry (4.83s) is significantly higher than that of the traditional database (38.62s) the speed is higher. The contour coefficients of the classification results of the experimental group are all above 0.80, realizing high-precision classification of text data, image data, and audio data in digitized archives.2018-2023 The number of business declarations is rising, the total score of the scientific research type varies considerably, and the total score of the teaching type is concentrated in the distribution, with most of them being between 70-80. Mean-shift clustering algorithms can make the scientific research type, the teaching type, and the Research and Teaching and heavy type three data types to achieve a good clustering effect.

show abstract

Section: Introductionmentioning

confidence: 99%

A Study of the Impact of Integrating Artificial Intelligence with the Archival Profession under Data Mining

Wang,

Li,

et al. 2024

Applied Mathematics and Nonlinear Sciences

View full text Add to dashboard Cite

show abstract

Intellectual property for commercial ideas in technology markets: A system dynamics model

Echavarría-Arcila¹,

Correa²,

Pérez-Gómez³

2023

Journal of Open Innovation: Technology, Market, and Complexity

View full text Add to dashboard Cite

Using System Dynamics Method to Measure Project Management Performance of Local Government Agencies

et al. 2022

View full text Add to dashboard Cite

Measuring project management performance is complex and requires tools to capture the dynamic nature of the processes involved. Since the conception of system dynamics in the 1950s, the method has been used to solve complex projects. Project management possesses dynamic characteristics that involve planning, human resources, implementation, and control elements; thereby, using system dynamics to measure project management performance is a realistic approach. A research study was conducted using system dynamics to develop project management performance measures to capture the complexity of the process in local government agencies. The research approach considers measuring project engineering management performance as a holistic system influenced by leadership involvement, project management processes, and project engineering manager’s ability. The Zachman architectural framework was used to develop the project-management performance system’s ontology as the system dynamics model’s foundation. A case study was conducted for three cities with local government agencies to better understand the model components and factors that influence performance. Leadership involvement, project management processes, and project manager abilities were identified as critical factors that influence the project management performance level. To validate the results of the case study, the project management performance was further studied for the City of El Paso in terms of capability, capacity, and maturity level. The research study concluded that system dynamics is a feasible method and effective tool to measure management performance for engineering projects at local government agencies.

show abstract

System Dynamics Modeling and Simulation of Enterprise Patent Management Optimization

Cited by 3 publications

References 35 publications

A Study of the Impact of Integrating Artificial Intelligence with the Archival Profession under Data Mining

A Study of the Impact of Integrating Artificial Intelligence with the Archival Profession under Data Mining

Intellectual property for commercial ideas in technology markets: A system dynamics model

Using System Dynamics Method to Measure Project Management Performance of Local Government Agencies

Contact Info

Product

Resources

About