Relationship between Urban New Business Indexes and the Business Environment of Chinese Cities: A Study Based on Entropy-TOPSIS and a Gaussian Process Regression Model

Shi, Yishao; Liu, Danxuan

doi:10.3390/su122410422

Cited by 10 publications

(6 citation statements)

References 50 publications

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“…If it is to be stored effectively for a long time, it requires expensive storage costs. In addition, to deal with massive commercial data information, extracting useful data is very important for the production management of enterprise managers [4,5]. However, traditional data management and data mining technologies are unable to store and analyze large amounts of data efficiently [6,7].…”

Section: Introductionmentioning

confidence: 99%

The Role of Cognitive Science and Big Data Technology in the Design of Business Information Management Systems

2022

Advances in Multimedia

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With the surge in the amount of data in the internal and external environment, the collection, analysis, processing, and storage of the increasing data sources and data volume, as well as the problems of big data management, are the current situation and dilemmas of data management faced by enterprises today. Cognitive science and big data technology can provide good auxiliary support for enterprise management decision-making. This study takes the business information management of cold chain logistics enterprises as an example, aiming at the characteristics of business intelligence data in real applications, based on cognitive science and big data technology, from low-cost and high-performance storage, security management, and big data analysis. This paper is mainly through the research of big data processing theory and key technologies. Based on analyzing the logistics industry’s data access rules and characteristics, this study proposes a hot data prediction model for multilayer hybrid storage systems. It is verified that the prediction model has good accuracy, robustness, and universality. For the application scenario of multitenant distributed data access, a data transparent security management model is proposed. Simulation experiments show that this method can realize data security management when the performance loss is controlled within an acceptable range. Based on the real-time computing technology of massive data, the label optimization scheme of collaborative filtering and reinforcement learning is used to realize the logistics distribution recommendation model and to solve the accuracy and real-time problems of logistics service distribution analysis.

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Section: Introductionmentioning

confidence: 99%

The Role of Cognitive Science and Big Data Technology in the Design of Business Information Management Systems

2022

Advances in Multimedia

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“…The GEM model has been widely used to evaluate the competitiveness of various industry clusters. As logistics industry policies are often formulated by governments, and the planning and construction of logistics infrastructure is a key factor in the development of logistics industry clusters, technological innovation is essential for improving logistics operation efficiency and updating logistics infrastructure [22][23][24] . Therefore, to better evaluate the competitiveness of aviation logistics industry clusters, the GEM model has been modified into the GKA model by incorporating subsystems coupling Grounding-Kernel-Adjust.…”

Section: Gka Evaluation Modelmentioning

confidence: 99%

“…The two complement and couple each other to form competitive advantages, ultimately promoting the formation of the logistics industry cluster. Thus, the three together constitute the foundation of core competitiveness [22][23][24][25][26] .…”

Section: Core Competitivenessmentioning

confidence: 99%

“…Secondly, advances in technology such as e-commerce, big data, artificial intelligence, and vehicle networking accelerate the construction of logistics information system platforms, promote the intelligent and networked development of logistics equipment, and improve the efficiency of logistics industry and supply chain operations. Therefore, technological innovation constitutes the "engine" of core competitiveness [23][24][25][26][27] .…”

Section: Core Competitivenessmentioning

confidence: 99%

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A study on the evaluation of competitiveness in the aviation logistics industry cluster in Zhengzhou

Sun

2024

Sci Rep

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As the global economy continues to evolve, air transportation is increasingly seen as a crucial factor in enhancing regional competitiveness. In particular, aviation logistics industry clusters have emerged as a new driving force for regional economic development. In this context, the current study aims to evaluate the competitiveness of the aviation logistics industry cluster in Zhengzhou, China. To achieve this goal, the study employs the “GEM model” and constructs a GKA evaluation model using evaluation index data from 21 logistics node cities across China in 2021. The entropy-weighted TOPSIS method is used for empirical analysis of the data. The results of the study reveal that the competitiveness of Zhengzhou’s aviation logistics industry cluster is moderately low. This is primarily due to the weak competitiveness of its foundational and regulatory subsystems. Specifically, the study finds that Zhengzhou’s resources, facilities, markets, government, and industry aspects are all less competitive when compared to other cities in China. In order to enhance the competitiveness of Zhengzhou’s aviation logistics industry cluster, the study recommends that efforts be made to improve the competitiveness of key elements such as resources, facilities, markets, and government. In particular, the focus should be on elevating industry competitiveness, followed by the development of appropriate regulatory strategies. By doing so, the aviation logistics industry cluster in Zhengzhou would be better positioned to compete with other clusters within China and globally.

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“…Farok J(2020) [8] emphasized that countries with a stronger contract enforcement and more efficient international trade regulations attract more foreign direct investment. Yishao(2020) [9] thought that the rise and development of the new business forms relying on the information technology depends on the innovation and optimization of the business environment.…”

Section: Research On the Scope Of The Business Environmentmentioning

confidence: 99%

Research on Comprehensive Evaluation of the Business Environment in Wuhan Based on Factor Analysis

Zhan¹,

Hu²

2023

Proceedings of the 4th International Conference on Economic Management and Model Engineering, ICEMME 2022, November 18-20, 2022

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The COVID-19 epidemic has seriously damaged the business environment in various regions. In order to study the current business environment situation, the article uses the domestic and international business environment evaluation index system for reference, and establishes a factor analysis model to analyze the business environment of 28 provincial capitals before and after the epidemic from the four dimensions of investment, trade, production and management, and talent development. The KMO test of statistical data is above 0.8, and the final interpretation rate of extracting three factors is above 0.8. Based on this, the scores and rankings of cities are calculated. The conclusion shows that the main factors of the business environment in each city are particularly affected by the epidemic situation, and the international trade environment has also undergone tremendous changes. In addition, the cities with the higher comprehensive scores have a stronger ability to resist the impact of the epidemic. Wuhan ranks forefront in the overall level of the business environment in China, but it still lags far behind Beijing, Shanghai, and other economically developed cities, and its shortcomings in the business relations are magnified. According to the research conclusions and the current situation, this article puts forward some suggestions on optimizing the business environment.

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Relationship between Urban New Business Indexes and the Business Environment of Chinese Cities: A Study Based on Entropy-TOPSIS and a Gaussian Process Regression Model

Cited by 10 publications

References 50 publications

The Role of Cognitive Science and Big Data Technology in the Design of Business Information Management Systems

The Role of Cognitive Science and Big Data Technology in the Design of Business Information Management Systems

A study on the evaluation of competitiveness in the aviation logistics industry cluster in Zhengzhou

Research on Comprehensive Evaluation of the Business Environment in Wuhan Based on Factor Analysis

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