Analysis of interaction path among construction owner’s leadership-culture-management behavior (LCB) based on association rule mining

Fang, Dongping; Wang, Liying; Wang, Yao; Huang, Yuecheng; Li, Li; Wu, Han; Li, Baojun

doi:10.1016/j.ssci.2024.106632

Safety Science

2024

DOI: 10.1016/j.ssci.2024.106632

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Analysis of interaction path among construction owner’s leadership-culture-management behavior (LCB) based on association rule mining

Dongping Fang,

Liying Wang,

Yao Wang

et al.

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2024

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Research on the Innovation of Cross-border E-commerce Enterprise Management Mode Based on Big Data Analysis

2024

Applied Mathematics and Nonlinear Sciences

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With the rapid development of information science and technology, enterprise management gradually began to rely on information science and technology, the change of management mode to promote the development of the enterprise economy. This paper focuses on innovation in cross-border e-commerce enterprise management mode to conduct the main research. The article first puts forward the cross-border e-commerce management innovation mode based on big data analysis and then uses the data mining method to analyze the funds and economic data of each subsidiary of the e-commerce enterprise and discovers that all kinds of dimensional data correlation, based on the clustering results, found that the relationship between enterprise orders and enterprise earnings is not positively correlated, and the relationship between earnings The relationship between total amount and social accumulation rate is positively correlated, and so on. Subsequently, we consider cross-border e-commerce enterprises as the research object. Based on the K-Means algorithm and Apriori algorithm, we use a Python tool to carry out association rule mining and clustering analysis on the company’s sales data and then visualize the results of the analysis: among the 30 agents of enterprise A, there are 2 very important agents, accounting for 4.22%. The number of important agents is 15, which accounts for 48.33%, and the number of general agents is 11, which accounts for 39.88%. Using the management model proposed in this paper can help agents with poor sales improve customer adhesion, and can provide effective decision-making assistance for managers.

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Research on the Innovation of Cross-border E-commerce Enterprise Management Mode Based on Big Data Analysis

2024

Applied Mathematics and Nonlinear Sciences

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Analysis of interaction path among construction owner’s leadership-culture-management behavior (LCB) based on association rule mining

Cited by 1 publication

References 82 publications

Research on the Innovation of Cross-border E-commerce Enterprise Management Mode Based on Big Data Analysis

Research on the Innovation of Cross-border E-commerce Enterprise Management Mode Based on Big Data Analysis

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