Improved multi-criteria decision making method integrating machine learning for patent competitive potential Evaluation：A case study in water pollution abatement technology

Fan, Shuqin; Liu, Guoxin; Tu, Yan; Zhu, Junda; Zhang, Pengfei; Tian, Ziyuan

doi:10.1016/j.jclepro.2023.136896

Cited by 7 publications

(3 citation statements)

References 40 publications

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“…The external resource environment system U (covering four elements of the natural environment U 1 , ecological environment U 2 , resource environment U 3 , and social environment U 4 ) and the internal alignment design system L (covering four elements of engineering quantity L 1 , technical feature L 2 , engineering conditions L 3 , and economy L 4 ) mutually coerce each other, thereby forming a dynamic coupling between U and L. Furthermore, the compound superposition and interaction between the internal and external elements determine the basic form and path of the interaction coupling between U and L (Figure 5). Using the linear weighting method [39,40], the state functions of the internal and external systems can be expressed as…”

Section: "Alignment Design-resource Environment" Coupling Mechanismmentioning

confidence: 99%

“…Within time t, both 𝑓(𝑈) and 𝑓(𝐿) show an upward trend. The smaller the coefficient of deviation (i.e., the distance between the corresponding curves) between 𝑓(𝑈) and 𝑓(𝐿), Using the linear weighting method [39,40], the state functions of the internal and external systems can be expressed as…”

Section: "Alignment Design-resource Environment" Coupling Mechanismmentioning

confidence: 99%

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The Coupling Mechanism between Railway Alignment Design and Resource Environment in the Southwestern Mountainous Areas of China

Wan,

Bao,

2024

Sustainability

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Faced with the characteristics of multifactor coupling and interweaving along the railway lines in the southwestern mountainous areas of China, researching the coupling mechanism and optimizing the collaborative development path between alignment designs and the resource environment is conducive to promoting the green and sustainable development of railways in these southwestern mountainous areas. In this study, first, regarding the environmental characteristics of engineering along the railway lines in the southwestern mountainous area, the key elements of the interaction and coercion between the alignment design (internal system) and the resource environment (external system) are identified, and the interactive impact mechanism of the “alignment design–resource environment” complex is revealed. Accordingly, a nonlinear coupling mechanism between the alignment design system and the resource environment system is established using the deviation coefficient coupling degree model. Second, from a methodological perspective, following a technical path of “analyzing the coercive effects of internal and external factors–identifying coupling relationships–discovering coupling laws–screening driving factors–proposing optimization plans–achieving collaborative development goals”, we propose an overall optimization plan to solve the problem. Finally, the Chengdu Changdu section of the X railway, which is located in a southwestern mountainous area, is taken as an example for this study. The results indicate that if the state of the external system of the KL scheme is continuously improved through the regulation of the u22 (crossing the ecological protection red line length), u23 (biodiversity impact), and u24 (ecosystem impact) indicators and that the internal structure of the line design is improved by optimizing the l12 (total length of bridges and tunnels) and l13 (number of stations) indicators, effectively driving the improvement in the u31 (land resource occupation) and u43 (land development intensity) indicators, the alignment design and resource environment will exhibit a mutually reinforcing coupling evolution trend and ultimately achieve an “alignment design–resource environment” composite system with higher quality coupling.

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Section: "Alignment Design-resource Environment" Coupling Mechanismmentioning

confidence: 99%

Section: "Alignment Design-resource Environment" Coupling Mechanismmentioning

confidence: 99%

The Coupling Mechanism between Railway Alignment Design and Resource Environment in the Southwestern Mountainous Areas of China

Wan,

Bao,

2024

Sustainability

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“…Al respecto, Ibarra et al (2017) destaca el papel de las políticas institucionales y la cultura organizacional influyen en el aumento de la productividad y su correlación con el aumento de la competitividad. Frente a este aspecto, la evolución de la empresa se deberá a la buena gestión y el desempeño del gerente (Fan et al, 2023;Wang y Cao, 2022), condiciones que marcan la diferencia.…”

Section: Habilidades Gerenciales Como Estrategia Competitivaunclassified

Management skills as a factor of business competitiveness

Álvarez Contreras,

Montes Padilla,

Osorio Martínez

2023

Reg Cient

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Managerial skill is a crucial factor in the formation and performance of effective leaders. This capability fosters strategic alignment in organizational management, especially in adapting to market changes, which has driven new ways of managing, controlling, executing, assessing, and making decisions to achieve operational and mission-related objectives in companies. This article sought to analyze the importance of managerial skills as a key element of business competitiveness. A descriptive qualitative approach was used, drawing from freely accessible electronic documents. The results focus on three main themes: managerial skills as a competitive strategy, fundamental skills of a manager for business competitiveness, and managerial skills as a factor of competitiveness. The findings suggest that companies increasingly require management staff with knowledge, experience, and skills that allow them to achieve objectives and business success. Managerial prowess is, therefore, an essential aspect to foster competitiveness in the corporate realm.

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Exploring spatial pattern optimization path of urban building carbon emission based on low-carbon cities analytical framework: A case study of Xi'an, China

Chen,

Yang,

Xiao

et al. 2024

Sustainable Cities and Society

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Improved multi-criteria decision making method integrating machine learning for patent competitive potential Evaluation：A case study in water pollution abatement technology

Cited by 7 publications

References 40 publications

The Coupling Mechanism between Railway Alignment Design and Resource Environment in the Southwestern Mountainous Areas of China

The Coupling Mechanism between Railway Alignment Design and Resource Environment in the Southwestern Mountainous Areas of China

Management skills as a factor of business competitiveness

Exploring spatial pattern optimization path of urban building carbon emission based on low-carbon cities analytical framework: A case study of Xi'an, China

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