查看更多>>摘要：This research aimed to analyze the confirmatory factors and validate the compliance between the confirmatory factor structure of industrial inventory management optimization and empirical data. The sample were 500 industrial executives in Thailand. The research tool was a questionnaire, with a reliability value of 0.95. The data was analyzed with confirmatory factor analysis and second order confirmatory factor analysis. The results found that the factors of inventory management optimization comprised four factors based on the Deming Cycle, including Planning (Plan), Implementation (Do), Assessment (Check), and Improvement (Act). The findings of first order confirmatory factor analysis showed that all index values were over the criteria with a composition weight of 0.72-0.87 at a statistical significance level of 0.01. The second order confirmatory factor analysis showed that all index values were over the criteria with a composition weight of 0.86-0.91 at a statistical significance level of 0.01. The model was congruent with the empirical data. The results of model validation indicated the p = 0.46, CMIN/DF = 0.99, GFI = 0.99 and RMSEA = 0.00. The results of this research could be applied for further improvement of the efficiency of the organization's inventory management.
查看更多>>摘要：This scientific article aims to examine the relationship of knowledge management, satisfaction and task performance of lecturers of Vietnam National University, Hanoi. In this study, the authors have used the exploratory factor analysis (EFA) tool and based on the analysis of survey sample for 200 lecturers working at Vietnam National University, Hanoi. The research results show that: Knowledge management has a positive impact on job satisfaction and performance; Satisfaction of lecturers plays the role of a partial mediator between knowledge management and job performance. From the research results of the article, Vietnam National University, Hanoi has clearly understood the relationship between knowledge management, satisfaction and assigned job performance, thereby being possible to develop plans and strategies to improve the performance of organization.
查看更多>>摘要：AES encryption algorithm is a universal algorithm, which can be used in many fields, including intelligent marketing. In the field of modern intelligent marketing, every enterprise adopts the platform model to carry out marketing activities, which gives birth to the high-tech intelligent marketing platform. The use of this platform does bring great convenience to marketing activities and effectively improve the success rate and efficiency of marketing. However, with the in-depth use of the intelligent marketing platform, people find that there are many security risks in this platform, including Marketing information may be damaged by people, indicating that the platform needs further optimization. At this time, AES encryption algorithm has become the main method of platform optimization. In order to understand the optimization performance of AES encryption algorithm in the high-tech intelligent marketing platform, this paper will analyze the concept of the algorithm, the existing defects of the platform, the optimization scheme of the platform under the algorithm, and finally simulate the results of the optimization scheme to verify the feasibility of the application of the algorithm.
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