This paper presents the application of artificial intelligence in the logistics industry and its impact on employment as well as countermeasures. Shunfeng Logistics has enhanced efficiency and precision with intelligent distribution and warehousing applications. It is important for logistics enterprises and practitioners to pay attention, adapt, and acquire the necessary skills and knowledge to meet the demands of the AI era. The article suggests countermeasures like acquiring new skills, changing jobs, or transforming, along with government support. AI has significantly influenced the logistics industry by enhancing efficiency and accuracy and generating new employment opportunities resulting in some job transformations and upgrades. In the future, the logistics industry will require more highly skilled and specialised professionals and will strive for enhanced intelligence and efficiency. Professionals in traditional logistics practices will need to continuously learn and improve their skills and expertise to keep pace with the evolving challenges and changes in the industry.

Commando-style tourism is a high-intensity, economical, and tight travel mode that has emerged in China since this year. At the same time, it also meets the needs of diversified consumption and relatively high consumption quality and has been favored by young tourists, especially college students. The rise of commando-style tourism has impacted the supply and demand of products and services in the traditional tourism market, thus changing the product structure and time-space structure of the tourism market, promoting the competition between industry consolidation and the market, and urging tourism enterprises to constantly adjust and optimize their products to meet the needs of consumers. This paper introduces the background of the rise of commando-style tourism and its present situation. Analyzing the data from the Ministry of Culture and Tourism, Tongcheng Research Institute and other professional institutions and using the research method of data analysis method shows the dynamic promotion of supply and demand to the tourism market structure. At the same time, the paper gives some countermeasures and suggestions for the follow-up development of commando-style tourism from three perspectives: government, enterprises, and consumers.

It has been confirmed that China's fertility rate has fallen below the fifth lowest globally and has fully entered the low fertility trap. There is an urgent need to increase the fertility rate. This paper mainly studies the causes of the gradual decline in fertility in China in recent years. It compares the subsidy measures taken by various countries to cope with the low fertility rate. It compares the living cost and economic policy system in China to analyze how China should raise the fertility rate. Through the analysis and summary of the literature, it is found that the reasons for the decrease in China's fertility rate year by year are that the explicit and implicit costs of birth and raising are too high, and the allocation of educational resources is unfair, resulting in low social identity and low happiness. With the gradual decrease of the fertility rate, the population structure changes, and the risk increases, making it difficult for the fertility rate to return to normal. Therefore, China should follow the Nordic countries' policies on parenting costs and social welfare, favor multi-child families, reduce parenting costs after childbirth, improve family happiness, and introduce economic support policies for child-rearing. At the same time, China should avoid the policy risk of "only giving money" and avoid the ineffective phenomenon of increasing welfare but declining fertility rates instead of rising.

The coronavirus pandemic influences the economy around the world substantially from 2019 to 2023. Change in the development rate of tourism and the loss rate faced by some homestays, the pandemic significantly impacts the development of various sectors, especially for the tertiary sector. Some typical cases in China are provided to illustrate this viewpoint. Based on previous analysis and investigation on tourism sectors in different regions, the essay is going to offer some suggestions to relevant industries. Furthermore, it is considered that some new rules are implemented on various scenic spots and requirements on scenic staffs, such as hotel staffs being more responsive to demand from the market in order to minimize loss, and some companies in the industry is combining tourism with technology. For further improvements, it is crucial for scenic spots to introduce up-to-date modern digitized technology and replace outdated technology in order to make up for deficiencies and reduce the possibility of any potential loss of interest. Government intervention also promotes the development of relevant industries since it provides public support and sufficient funds. Moreover, innovation helps to gain sales revenue by generating a greater customer base.

The traditional-hotel industry is facing its most difficult time ever, due to the recessionary economy and the low standards of consumption. Hotels are seeking transformations to change this situation, some of them were attempted to go in the certain direction of smart hotel, which is newly-developing and is at the initial stage, so that there are a series of unsolved problems existing in the current times. The paper had extract opinions from surveys about hotel industry and smart hotels and was aimed at discussing the disadvantages of strategies adopted by smart hotels, as well as the potential drawbacks that is predicted at present. Mainly, the paper gave out reasonable suggestions about marketing strategies to practitioner of hotel industry, including Strategies to minimize the impact of the epidemic on decreasing occupancy rate, to avoid ‘arms race’ with other hotels and to prevent unnecessary layoffs. Last but not least, the paper offered speculations to the trends of smart hotel which is possible in the future. Smart hotels will probably be popular among consumers in the future because of its convenience and intellectuality.

Consumption behavior refers to the psychological and practical aspects of consumers' demand psychology, purchase motivation, and consumption willingness. Women are the core mainstay of China's consumer army, with a total female population of 688.44 million in 2023, accounting for 48.76% of the total population. This paper analyzes different age groups, explains the characteristics and influencing factors of female consumers' consumption behavior, and combines practical cases to study women's consumption behavior in different age groups. It is found that female consumers pursue image and pay attention to the image of the consumer behavior qualities, and their consumption behavior appears emotional, rationalization, active, and passive characteristics, accelerating the broadening of the consumer market and promoting the transformation of the current economic structure. Female consumers have become the key object of enterprise market competition; they fully understand the consumption psychology and behavioral characteristics of female consumers and formulate appropriate marketing strategies to improve the competitiveness of enterprises to win in the fiercely competitive market.

With the increasing benefit of the new economy, e-commerce has become a popular business model around the world, but also because of the traditional business activities of all links to realize the electronic network and people's attention, and is regarded as a service industry with great potential. At present, the market size of e-commerce is rising, and digitalization has become the main trend in the development of e-commerce. Strengthening logistics and supply chain systems through digital construction has become an important means for major e-commerce competitors. In order to make big data operate efficiently in the rich scenarios of e-commerce and transform data into real benefits, analyzing the vulnerabilities of the e-commerce industry itself and the reasons favored by consumers has become a necessary method for the specific application of big data. And it is definitely vital to propose feasible future strategic measures from the aspects of marketing and law according to the above content so that big data can better promote the development of the e-commerce industry and not weaken the disadvantages brought by it.

Entrepreneurship is around discussed as the development of the national economy and the progress of the enterprise market. An increasing number of researchers support that advocating the appropriate entrepreneurial spirit is the key to the efficient and sustainable development of enterprises. This paper talks about the Chinese characteristic of entrepreneurship and how it affects the development of Chinese enterprises. With the expanding discussion of the three key spirits in entrepreneurship which are innovation, practice, and revolution, the frame of general entrepreneurship is presented in this article. By combining the cultural style, social environment, and entrepreneur origin with general entrepreneurship, this paper talks about the formation of entrepreneurship with Chinese characteristics. The specific patriotism and integrity contained in Chinese entrepreneurship perfectly adapt to the Chinese enterprise and market. It is not only the spiritual inspiration of the enterprises to attain a high-speed and efficient development, but also the implicit criterion that inspects the harmful behavior and ensures efficiency among enterprises. The development of entrepreneurship with proven Chinese characteristics also brings the development of the enterprise and national economy.

This study uses exploratory data analysis and an exploratory prediction model to examine data scientist salaries. The study examines salary determinants, salary trends, and a forecast model for data scientist salaries. The collection includes wage estimates, job descriptions, company evaluations, and industry data. Descriptive statistics and visualizations reveal variable distributions and trends. Linear regression is used to estimate salaries using geography, industry, firm rating, and job description. However, the original model has a large prediction error, requiring refining. The findings present significant implications for job seekers, companies, and policymakers, necessitating a thorough understanding and response from all these stakeholders. Addressing issues related to data availability and biases becomes imperative, as these could potentially distort the insights and the resulting decisions. Therefore, it's crucial to emphasize and encourage future research in this area to ensure a more equitable and comprehensive approach to employment and policy development.

ESG is one of the critical topics in today’s research. In recent years, researchers have found that sustainability, as represented by ESG, plays a significant role in the development of companies. However, there is a lack of a coherent explanation related to ESG in the segment of the fashion industry in which companies are located. Therefore the research topic of this paper is the relationship between the development of the fashion industry and ESG. The research methodology of this paper is as follows: firstly, we collect the reports like CSR Extract and Annual report published by Hermes, LVMH, and Inditex on their official websites, and then we conduct a qualitative analysis to explore the development of the fashion industry and the investment of fashion industry enterprises in ESG. The study found that ESG in the fashion industry can effectively promote the sustainable development of fashion industry enterprises themselves and also promote the sustainable development of the whole industry.