Identification method and application of order parameters for organizational systems considering time-series values: A case study on high-quality development in China’s regional manufacturing industry
Xin Wen, Yuqing Zhou
TL;DR
This paper introduces a method to identify key factors driving system evolution using time-series data, validated through a case study on China's manufacturing industry.
Contribution
A novel method integrating time-series values and the CRITIC method for identifying order parameters in organizational systems.
Findings
The identified order parameters accurately reflect the system's evolutionary state.
The method efficiently controls order parameters during system evolution.
The approach is validated through a case study on China's manufacturing industry.
Abstract
The transition from disorder to order in the evolution of organizational systems is driven by the identification of key order parameters, which serve as critical determinants of this shift and the primary forces behind system evolution. Since order parameters capture the dominant state of the system at specific time points, accurately identifying these parameters is essential for tracing the evolutionary trajectory. This study integrates time-series values into the process of order parameter identification and employs the CRITIC method to objectively calculate the weights of these values, thereby enhancing the scientific rigor and effectiveness of the identification process. The results indicate that the identified order parameters accurately reflect the actual evolutionary state of the system. Furthermore, this method efficiently controls order parameters throughout the evolution of…
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Taxonomy
TopicsEconomic and Technological Innovation · Product Development and Customization · Innovation Diffusion and Forecasting