User behavior data is an important basis for decision-making in e-commerce enterprises. The AARRR(acquisition,activation,retention,revenue,referral) model, funnel analysis model, and user behavior analysis methods in the field of data analysis were explained. Based on the basic indicators and preferences of user behavior, a comprehensive analysis was conducted through multiple dimensions, and the conclusions drawn were presented in a graphical manner. Finally, the conversion rate in the user shopping process was presented in the form of a funnel chart. E-commerce enterprises can utilize user behavior research to provide customized services for individuals, thereby achieving refined market decision-making.

Innovation and entrepreneurship education encourages college students to actively participate in innovation and entrepreneurship activities, stimulate the innovation vitality and creative potential of the whole society, and promote the economic transformation and upgrading. Taking 6 780 valid questionnaires from comprehensive colleges and universities in Shandong Province as research samples, an evaluation scale of college students’ innovation and entrepreneurship behavior were constructed to identify the influence mechanism of “dual-creation” education on “dual-creation” behavior, and provide empirical evidence for colleges and universities to deepen the reform of innovation and entrepreneurship education and to explore the potentials of innovation and entrepreneurship among students, which provides empirical evidence for universities to deepen the reform of innovation and entrepreneurship education and explore students’ innovation and entrepreneurship potential. In the future, the government and universities should continue to broaden the channels of innovation and entrepreneurship practice by system construction, realize “theory+practice” teaching by curriculum integration, and create a good atmosphere of innovation and entrepreneurship by resource support, so as to contribute to the transformation and upgrading of the economy and the innovative development of the society.

An evaluation method was proposed based on combination assignment-objective element topable model. Firstly, the G1 method and entropy weight method were used to subjectively and objectively assign weights to the evaluation indicators, and the Lagrange multiplier method was applied to find the combination weights, which ensured the unity of the weights subjectively and objectively. As the qualitative index data was difficult to be calculated by the evaluation research, which affected the accuracy of the evaluation results to a certain extent, therefore, the object element topable model was introduced, and the topable set was token as a mathematical tool to realize the quantitative evaluation calculation and ensure the objectivity and accuracy of the evaluation results. Finally, the validity and practicability of the method is verified through the analysis of examples.

Driven by the “double cycle” strategy, the expansion of the domestic demand market has become an important driving force for economic development. Currently, the consumer market is weak, and the consumption structure of rural residents is prominent, which needs to be studied and discussed urgently. Based on the statistical yearbook data from 2014 to 2023, the consumption structure of rural residents was analyzed in depth using the extended linear expenditure model (ELES model). The results show that there is a significant positive correlation between the expenditure of various consumption items and disposable income, which reveals the great potential of the rural consumer market. The analysis of marginal propensity to consume shows that with increased income, rural residents are more inclined to developmental consumption. At the same time, the income elasticity of demand shows that income is the key factor affecting rural consumption, and health care, transportation and communication, food, tobacco, alcohol and housing are the focus of consumption. Finally, a series of strategic suggestions are put forward to optimize the consumption structure, guide the improvement of the consumption structure of rural residents in China, promote the full release of rural consumption potential and inject new vitality into rural economic development.

To analyze the scientific research performance of science, engineering and medicine interdisciplinary projects in a hospital from 2018 to 2020, and to provide reference for optimizing the management of these projects,the evaluation index system was constructed based on the input-output data, and the data envelopment analysis (DEA) BCC model was used to measure its comprehensive efficiency, pure technical efficiency and scale efficiency. From 2018 to 2020, the average comprehensive efficiency of New Medicine Joint Fund exceedes 0.5, and the effective proportion of DEA fluctuates around 25%. In 2018, 2019 and 2020, the effective proportion of DEA for cultivation projects is 15.6%, 22.97%, and 31.91% respectively. The effective proportion of DEA for innovation team projects is 100% in 2018, and 0 in 2019 and 2020. The effective proportion of DEA for important direction projects is 66.67%, 28.57%, and 37.5% respectively. 1 (25%) innovation team project and 5 (23.81%) important direction projects have redundant research funding. 3 (75%) innovation team projects, 12 (57.14%) important direction projects and 125 (75.3%) cultivation project have insufficient output. The overall scientific research efficiency of the Fund is on the rise, and the whole process management can be optimized by dynamically adjusting the project deployment, focusing on the cultivation of young talents, building the multidisciplinary cross-project platforms and mechanisms, optimizing the appraisal and evaluation system, and focusing on the transformation and application of the achievements, and other initiatives.

Based on the Big Five personality theory and the technology acceptance model as a theoretical framework, a suitable online reputation system satisfaction scale was designed, and the relationship between personality traits, consumer perception and online reputation system satisfaction was explored. The results show that the higher the neuroticism, the more critical the use of the online reputation system, and the lower the perceived usefulness and perceived ease of use. People with higher openness, friendliness and a sense of responsibility have better perceived usefulness and perceived ease of use when using online reputation systems. Extraversion has no significant effect on the performance of perceived usefulness and perceived ease of use when using online reputation system. Both perceived ease of use and perceived usefulness have a positive impact on users’ satisfaction with the online reputation system.

Over the 40 years following the Reform and Opening-up, how does China manage to transform its major infrastructure from lagging behind to leading globally in such a short time? This question not only offers valuable practical insights but also poses a significant theoretical inquiry. By employing a comparative research approach, the implementation experiences of major infrastructure projects in China was systematically reviewed, developing theoretical insights in areas such as institutions, technology, management, finance and ideology. The feasibility of promoting these experiences internationally was also analyzed. The Beijing-Shanghai High-Speed Railway with overseas high-speed rail projects was further contrasted to illustrate the applicability and effectiveness of China’s infrastructure development experience. It is explored how to provide Chinese experiences and solutions to the global infrastructure market and offers references for Chinese enterprises, particularly those involved in Belt and Road infrastructure projects, as they enter the international market.

In order to clarify the influencing factors of airport service quality and the passengers’ satisfaction of airport service quality, and improve airport service quality, the evaluation model combining technique for order preference by similarity to an ideal solution(TOPSIS) and Bayesian network were used to establish an evaluation index system for large transportation airport service quality. The bidirectional inference diagnosis model was used to evaluate the airport service quality, including the forward inference of airport satisfaction and the backward sensitivity diagnosis of influencing indicators. The passenger airport service quality satisfaction and the influencing factors were studied deeply, and the feasibility of the method was verified by a large transportation airport as an example.The results show that the probability of passengers’ satisfaction with the service quality of the airport is 0.67, and the probability of general satisfaction is 0.21. The reverse diagnosis reveals that factors with high sensitivity include the baggage claim system, the convenience of integrated transportation and urban connection in and out of the airport, and the efficiency of security check services. A theoretical basis is provided for the airport to scientifically formulate measures to improve service quality.

High-speed railway stations are characterized by their large scale and complex functional zoning. Passengers often waste time or even get lost due to unclear orientation signs while navigating within the stations. This not only affects the travel experience but also increases the operational pressure on the stations. Therefore, optimizing the layout of passenger orientation signs in high-speed railway stations is of great significance. A model for orientation signage layout based on the “fast lane” path was proposed to simplify the path selection process for passengers. A typical high-speed railway station scenario was constructed, and the model was verified using the AnyLogic system simulation software. The impact of the “fast lane” path and traditional shortest path orientation signage layout on passenger travel efficiency was compared and the travel time, speed of passengers and the effect of emergency evacuation in detail were analyzed. The simulation results show that the model based on the “fast lane” path can significantly improve passenger orientation efficiency. Compared with the traditional shortest path layout, the average time passengers spend in the station is reduced by about 4 minutes. The model demonstrates excellent performance in improving passenger orientation efficiency, reducing travel time, and enhancing emergency evacuation capabilities, and it provides new ideas and methods for the optimization of orientation signage systems in high-speed railway stations.

No-load and load tests are routine tests for transformers. The test equipment required for no-load and load tests of large transformers is bulky and heavy, and the test equipment needs to be lifted, fixed, transported, unloaded, and reassembled and wired. This process has certain transportation risks and low efficiency. To solve this field test problem, this paper designed an No-load and load test platform by using SolidWorks, and integrated variable frequency power supply, intermediate transformer, instrument transformer set, capacitor set and other test equipment into two test vehicles. Through gravity center analysis, 3D mechanical simulation, equipment bolt fastening scheme design, and finally developed the test platform according to the analysis results. After long-distance driving and field test, the on-board equipment is stable and has no eccentricity or deviation problem, and the field test efficiency is increased by 3 times.