Business Administration and Management

The impact of electronic Word of mouth on the consumption behavior intention of Chinese tourists

Zhang Nan — 2024-10-14

With the popularization of the Internet and the development of social media, electronic Word-of-Mouth (eWOM) has emerged as one of the pivotal factors influencing consumer decision-making. This study aims to investigate which characteristics of eWOM significantly impact the consumption behavior intentions of Chinese tourists. Through questionnaire surveys and data analysis, we found that positive evaluations (i.e., overall positivity) and credibility of eWOM have a notable positive influence on the consumption behavior intentions of Chinese tourists. However, the data from this study did not directly support whether the timeliness of eWOM also significantly impacts consumption behavior intentions, warranting further exploration in future research. Overall, this study offers a fresh perspective on understanding the role of eWOM in the tourism consumption landscape and provides valuable insights for tourism enterprises and market strategists.

Corporate social responsibility

Jiamin Chang — 2024-10-14

The advancement of society and the growth of the economy have led to an increased focus on corporate social responsibility. The question of “Does the rise of interest in business ethics and corporate social responsibility (CSR) always mean that business is becoming more ethical?” has garnered significant attention. This article addresses this issue from two perspectives. Firstly, it explains the reasons why organizations may adopt corporate social responsibility and ethical behaviour, supported by case studies of Polpharma Group and BASF Corporation. Secondly, it employs the case of Ford Pinto to demonstrate the consequences for enterprises that neglect their corporate social responsibilities. These case studies illustrate that while the pursuit of ethics and corporate social responsibility does not automatically result in more ethical enterprises, prioritizing social responsibility and ethics remains beneficial for both consumers and enterprises.

Teaching Practice of College English Education in the Context of the Internet

Julei Gong — 2024-10-14

With the rapid development of Internet technology, college English teaching practice is undergoing profound changes. The Internet not only provides rich and diverse resources and convenient communication platform for English teaching, but also greatly promotes the overall innovation of teaching models, methods and evaluation systems. This change requires English teachers to actively adapt to the needs of the digital age, master modern information technology, and effectively integrate it into classroom teaching to enhance students’ comprehensive English application ability and self-learning ability. At the same time, English teaching in the context of the Internet also pays more attention to cross-cultural communication and cooperation, and is committed to cultivating students’ international vision and cross-cultural communication ability. Faced with this new situation, the practice of English education and teaching in universities urgently needs continuous exploration and innovation to better adapt to the needs of the times. This paper first analyzes the current situation of college English education and teaching, then discusses the advantages of college English education and teaching under the Internet background, and puts forward corresponding strategies and suggestions on this basis, aiming to provide useful reference for the sustainable development of college English education.

Research on the financial decision support system of small and medium-sized enterprises in the era of big data

Tianjuan Zhang — 2024-10-14

This study examines the financial decision support systems for small and medium-sized enterprises (SMEs) in the big data era. By exploring the implementation of big data technologies in the financial decisionmaking processes of SMEs, it highlights how these technologies enhance the scientific accuracy and effectiveness of financial decisions. The paper offers detailed recommendations at the policy, enterprise, and technical levels, providing both theoretical insights and practical guidance for SMEs to optimize their financial decision-making in the context of big data.

Research on autonomous driving technology of new energy vehicles integrating big data of Internet of vehicles

Xinxiu Wang — 2024-10-14

The fusion strategy of autonomous driving technology of new energy vehicles and big data of Internet of Vehicles is studied. This paper analyzes the development status of new energy vehicles and autonomous driving technology, the technical principle and processing process of big data of Internet of Vehicles, and discusses the key links such as data acquisition and preprocessing, data transmission and storage, data mining and analysis, intelligent decision-making and control in detail. It aims to achieve a more efficient, safe and intelligent automatic driving system for new energy vehicles through the organic combination of technology, and to promote the development of intelligent transportation system.

Social Responsibility and Business Success: a sustainable development path for Pangdonglai

Lijie Li — 2024-10-14

This paper discusses the relationship between social responsibility and commercial success, takes the practice of fat Donglai, a well-known retail enterprise in Henan Province, as an example, analyzes its ideas and specific measures in social responsibility, and discusses the impact of these practices on the commercial success of enterprises, and puts forward the path of enterprises to achieve sustainable development. Social responsibility is not only the moral and legal obligation of enterprises, but also a key factor in achieving long-term business success and sustainable development.

Strategies to improve teachers’ learning ability under the background of vocational education undergraduate course

Jie Wang — 2024-10-14

In the vocational education undergraduate education system, teachers ‘learning ability is directly related to the improvement of teaching quality and the cultivation of students’ professional quality. This paper discusses the importance of improving teachers’ learning ability under the background of vocational education, analyzes the current existing problems, and puts forward the corresponding optimization countermeasures. By improving the allocation of teachers ‘learning resources, stimulating the teachers’ drive for self-learning and creating a good learning support environment, it aims to comprehensively improve the professional quality and teaching level of vocational education undergraduate teachers and promote the overall development of vocational education.

The Impact of Generative Artificial Intelligence (GAI) on Organizational Creativity and Employee Interaction: A Cross-Cultural Perspective

Yuzhen Liu — 2024-10-14

Generative Artificial Intelligence (GAI) is transforming modern organizational practices, particularly in the realms of creativity and employee interaction. This article explores the impact of GAI on organizational creativity and how it influences employee interaction, particularly in cross-cultural work environments. By examining the theoretical frameworks and analyzing practical examples, the study highlights the opportunities and challenges GAI presents in fostering creativity and collaboration across diverse cultural settings. The findings underscore the importance of cultural intelligence and ethical considerations in implementing GAI to enhance organizational performance.

Research on the construction and implementation of human resources incentive mechanism in colleges and universities

Jiajing Sun — 2024-10-14

This study discusses the construction and implementation of the incentive mechanism of human resources in colleges and universities, analyzes its importance and existing problems, and puts forward the optimization countermeasures, and finds that the incentive mechanism plays an important role in improving the quality of education, attracting and retaining excellent talents and promoting the realization of the overall development strategy of colleges and universities. However, there are still problems such as unreasonable design of incentive mechanism, insignificant incentive effect, lack of continuity and on in colleges and universities. Therefore, it paper suggestions on improving the design of incentive mechanism, improving the incentive effect and ensuring the sustainability of incentive mechanism, in order to provide reference for university administrators and promote the optimization and upgrading of human resource management in universities.

Research on the Efficiency of College Property Supervision and Management Based on Big Data Analysis

Yongjuan Gui — 2024-10-14

Based on a study of university campus property supervision and management efficiency using large data analysis, the mechanism and influence of big data in property supervision and management are analyzed. The study builds an efficiency evaluation system and examines data acquisition, processing, information asymmetry, and big data analysis limitations. It proposes enhancing efficiency through conceptual updates, strategy adjustments, system innovation, process optimization, technical support, and talent cultivation. While big data analysis offers significant advantages in management, it also presents challenges and limitations that require scientific management strategies and technical solutions to overcome.

Application and Challenges of Data Science in Financial Risk Management

Shenghua Huang — 2024-10-14

This paper delves into the extensive application of data science in financial risk management and the challenges it faces. Data science plays an increasingly crucial role in the financial sector due to its powerful capabilities in big data processing, advanced analytical models, and real-time dynamics. The ability to handle massive datasets through advanced storage technologies and distributed computing frameworks provides a solid foundation for financial institutions by enabling rapid data loading, storage, cleansing, integration, and preprocessing. Advanced analytical models leveraging machine learning, deep learning, and other cuttingedge technologies automatically extract valuable insights and patterns from data, significantly enhancing the accuracy and efficiency of risk management. The real-time and dynamic nature of data science facilitates realtime monitoring and dynamic adjustments in risk management through techniques such as real-time data stream analysis and online learning. However, the application of data science in financial risk management also faces challenges such as data security, privacy protection, and model interpretability.

Application and Effectiveness Evaluation of Knowledge Management in Knowledge-Intensive Industries

Daojun Yuan — 2024-10-14

Knowledge-intensive industries heavily rely on specialized knowledge and information, making knowledge management a critical component in these sectors. This paper explores the application of knowledge management in knowledge-intensive industries and evaluates its effectiveness. It analyzes the characteristics of knowledge-intensive industries and the central role of knowledge management while identifying the main challenges in current practices, such as the difficulties in system construction and implementation, barriers to knowledge sharing and utilization, and the inadequacies in effectiveness evaluation. The paper proposes targeted optimization strategies, including enhancing the construction and maintenance of knowledge management systems, fostering a culture of knowledge sharing and collaboration, and improving the evaluation framework for knowledge management effectiveness. The paper concludes by emphasizing the importance of knowledge management in knowledge-intensive industries and provides insights into future research directions and application prospects.

Research on the Application of Flexible Management in Human Resource Management of Universities

Shuhan Guo — 2024-10-14

Universities are a key force in the construction of the Guangdong Hong Kong Macao Greater Bay Area and an important base for cultivating high-quality talents. Flexible management, as an emerging management concept, gradually plays an important role in human resource management in universities with its unique flexibility, inclusiveness, and innovation. Based on years of work experience and in-depth analysis of the connotation of flexible management, this article proposes the necessity of applying flexible management to human resource management in universities, and then puts forward application strategies of flexible management in human resource management in universities, in order to enhance the work of human resource management in universities and help cultivate high-quality talents.

The Development Path of China’s Common Wealth Path from the Discussion of Fairness and Justice in The Republic of Plato

Xiao Zheng — 2024-10-14

The Republic of Plato delves deeply into the concept of justice and fairness, including considerations of the subjects involved and the consequences thereof, as well as the argument that rulers should prioritize the welfare of the populace. Plato’s reflections in The Republic on justice and fairness offer significant insights for China’s pursuit of common prosperity. When examining the prerequisites for government-led justice in The Republic alongside China’s contemporary people-centered development philosophy, several challenges become apparent in advancing China’s common prosperity. These challenges include disparities in regional development, income distribution gaps, and social security inequities. Addressing these requires optimizing mechanisms for regional coordinated development, refining the systems for secondary and tertiary income distribution, and improving the social security framework. These measures, grounded in the principle of justice and fairness, are essential to promote the realization of common prosperity for all citizens.

Further Intensifying Support for Micro, Small and Medium-Sized Enterprises and Investing in the Vitality of the Private Economy

Xiao Zheng — 2024-10-14

Micro, small and medium-sized enterprises form a vital part of China’s national economy. As the foundational units of the socialist market economy, they drive progress in China’s modernization. Numerous yet small in scale and dispersed in layout, these enterprises demonstrate relatively weak risk resistance during operations. Recently, the deregistration rate has climbed, while new registrations have declined sharply. micro, small and medium-sized enterprises face challenges in financing, operations, and recruitment. Recommendations include increasing support with intensified assistance, reducing costs by optimizing fiscal and tax policies, and broadening access through a multi-tiered financial support system.

Impact of Globalization in Chinese Ecommerce Market

Hao Wen — 2024-10-14

This project is to help the blooming of the knowledge on the entire process of globalization that runs parallelly with the Chinese market implementing a great effort to change the definition of the business market. The project will definitely help understand the value of globalization and the fact that it is behind the tremendous success of the Chinese market in the global and international market.

Research Employment Quality Management of College Students in Industrial Vocational and Technical College in Shaanxi Province

Hong Luo — 2024-10-14

At present, with the continuous development and application of digital technology, new business models and career opportunities are emerging in an endless stream, which brings new challenges and opportunities to China’s employment situation. At the same time, society’s demand for labor skills and employment structures is also undergoing profound changes. Therefore, researchers need to comprehensively analyze and understand the development law of higher vocational education from the perspective of employment policy and actual demand, combine education quality with market demand, so as to achieve the best allocation of labor resources and improve the employment quality of vocational college graduates. Shaanxi Polytechnic, as a vocational college in China, is facing the important mission of cultivating high quality technical personnel, and the research on the quality management of college students’ employment is of great significance. The purpose of this study is to learn from international advanced experience, explore a college student employment quality management model that is in line with the actual situation of Shaanxi Polytechnic, promote the improvement of the employment quality of graduates, and make positive contributions to the development of the university and social economy.

Research on the Current situation of Yacht tourism Products in Sanya

Yingchao Zhang — 2024-10-14

With the rapid development of the tourism industry and changes in people’s leisure concepts, yacht tourism, as an emerging tourism form, is gradually becoming a highlight of the global tourism market. Based on tourist experience theory, this article designs a questionnaire from the perspectives of sensory experience, emotional experience, and spiritual experience to investigate tourists’ experiences with yacht tourism products in Sanya. The questionnaire reveals that Sanya yacht tourism products perform well in terms of sensory experience, emotional experience, and spiritual experience, especially in safety, service quality, natural scenery, and mental relaxation. However, some issues still exist, such as a lack of distinctive features in yacht tourism products, a monotonous range of routes, inadequate yacht marina infrastructure, and insufficient cultural experiences. To further enhance tourist experiences, this article proposes improving the design of yacht tourism products, enriching distinctive offerings, developing new routes, enhancing tourists’ physical comfort, strengthening infrastructure construction for yacht marinas, and enhancing experiences of folk culture.

Research on Enterprise Human Resource Model under the Background of School-Enterprise Cooperation

Hanbing Zhang — 2024-10-14

By analyzing the positive impacts of school-enterprise cooperation on enterprise human resource planning, recruitment and selection, employee training and development, as well as performance management and incentive mechanism construction, this paper reveals the significant role of school-enterprise cooperation in promoting the optimization of enterprise talent strategies, improving the efficiency and quality of talent cultivation, and strengthening the integration of enterprise-employee relationships. School-enterprise cooperation assists enterprises in accurately predicting job demands and constructing a comprehensive talent pipeline, providing a more direct and efficient recruitment channel that facilitates a seamless transition from internship to employment. Through the joint establishment of training bases and curricula, as well as career development path planning, school-enterprise cooperation enhances employees’ professional skills and overall qualities. This paper also explores performance evaluation methods and incentive mechanism designs based on the outcomes of school-enterprise cooperation, aiming to promote the deepening and sustainable development of such collaboration.

Cost Control and Optimization Strategy of Film and Television Works Based on Virtual Production Technology

XiaoJian Chen — 2024-10-14

With the rapid development of film and television industry, cost control has become a key issue in the production process. As a new production method, virtual film technology has attracted wide attention for its potential in cost control. This paper aims to explore the cost control and optimization strategy of film and television works based on virtual production technology, in order to provide an effective cost management method for film and television industry. In this paper, literature analysis and network data are used to analyze the overview of virtual production technology and the current situation of cost control of film and television works, and a cost control strategy based on virtual production technology is proposed. It is found that virtual production technology can realize effective cost control and optimization in the creative stage, production stage and postproduction. Through the application of script rehearsal, scene construction, special effects production, editing and color mixing, virtual production technology has significantly improved production efficiency and reduced costs. Virtual production technology provides a new way and method for the cost control of film and television works, which is helpful to promote the healthy development of film and television industry.

Exploration of Optimizing the Teaching Mode of College English Reading

Yuxiang Chen — 2024-10-14

Optimizing the teaching mode of English reading in universities can stimulate students’ enthusiasm for reading, cultivate their language organization and expression abilities through reading, and lay a foundation for their future employment and development. Therefore, teachers should attach importance to innovative methods in English reading teaching in universities, such as creating reading situations, organizing reading competitions, expanding reading resources, etc., to improve students’ reading experience, cultivate students’ English thinking in reading, promote the improvement of students’ English language organization and expression abilities, and build a university English reading based on core literacy. The following article will study the methods for optimizing the teaching mode of English reading in universities.

Research on the Application of Aesthetic Experience Theory in Innovation and Entrepreneurship Education for Vocational Undergraduate Students

Weixin Lin — 2024-10-14

Based on the theory of aesthetic experience, this article explores the specific application of this theory in the education of innovation and entrepreneurship abilities for vocational undergraduate students. I hope to further stimulate students’ innovative thinking and entrepreneurial awareness through the multidimensional characteristics of perception, emotion, and innovation based on aesthetic experience. In teaching, teachers adhere to the design principles of an aesthetic experience education model that focuses on experience, feedback and reflection, and multi sensory participation. With the help of specific practical teaching cases, aesthetic experience theory can be integrated into it to further improve the level of innovation and entrepreneurship education for vocational undergraduate students.

About the Impact of Mobile Payment Systems on Chinese Business Models and Impact Research on Consumer Participation

Limin Chen — 2024-10-14

With the rapid development of mobile Internet, mobile payment technology has been widely used in China, which has had a profound impact on business models and consumer engagement behavior. Using the Chinese market as an example, this paper explores how mobile payment technology drives innovation and change in business models and its impact on consumer engagement behavior. By analyzing existing cases, combined with the convenience of big data-driven precision marketing and payment technology, we reveal the broad impact of mobile payments on China’s economy and society.

The Trends and Challenges of Human Resource Management Models in the Digital Era

Bing Han — 2024-10-14

With the advent of the digital age, it has had a significant impact on people’s lives and production, and also had a significant impact on enterprise human resource management. As the most valuable competitive resource, human resources need to be well managed, which is conducive to improving the internal operational capacity of enterprises and promoting efficient transformation. However, some enterprises face difficulties in transformation and need to strengthen human resource management in the digital age to further promote modernization, development, innovation, and transformation.

Deep Learning in Finance Review: Opportunities, Challenges, and Future Directions

Xiaoquan Liu — 2024-10-14

This comprehensive review examines the transformative impact of deep learning on the financial sector, exploring its applications, potential, and challenges. We analyze cutting-edge advancements in financial prediction, risk management, and asset pricing, highlighting deep learning’s superiority over traditional methods. The paper investigates innovative applications in financial democratization, systemic risk assessment, and regulatory technology. We critically discuss challenges including model interpretability, data privacy, and algorithmic bias. A “Responsible Financial AI” framework is proposed to guide the ethical development of deep learning in finance. This study offers significant implications for financial institutions, regulators, and academia, providing a roadmap for the future of AI-driven finance.

Research on Supply Chain Management Optimization of Small and Medium-Sized Enterprises Based on Big Data

Rongwei Yu — 2024-10-14

Under the background of globalization and the rapid development of information technology, the supply chain management of SEMs is facing many challenges, and the application of big data technology provides a new optimization path for SEMs. By discussing the application background of big data technology in supply chain management, analyzing the problems faced by small and medium-sized enterprises in supply chain management, we puts forward targeted optimization countermeasures. The research found that the establishment of efficient data collection and integration mechanism, improvement of data analysis ability and optimization of technology investment and cost management are the key ways for small and medium-sized enterprises to achieve supply chain optimization, providing theoretical support and practical guidance for small and medium-sized enterprises, and helping them improve their supply chain management level and market competitiveness.

Case Analysis and Insights on the Impact of Corporate Culture on Employees’ Innovative Behavior

Lei Wang — 2024-10-14

This paper focuses on the impact of corporate culture on employees’ innovative behavior. Through an in-depth analysis of a case study of a specific enterprise, it explores the core values of corporate culture, the mechanisms that promote innovative behavior, and its implicit effects. The study finds that corporate culture plays both a positive role in encouraging employee innovation and presents certain inconsistencies and inhibiting factors. The paper also proposes optimization strategies to address these issues, including adjusting corporate culture, enhancing the integration between culture and innovative behavior, and promoting effective strategies for fostering an innovation culture. This paper provides a theoretical basis and practical guidance for enterprises on how to motivate innovation through cultural development.

Research on Governance Strategies for New Public Cultural Spaces in the Countryside——Based on field research in Chunhua County, Shaanxi Province

Wang Ding — 2024-10-14

In the context of China’s rural revitalisation strategy, the high-quality development of rural public cultural services has received increasing attention as a key element in promoting comprehensive rural revitalisation, urban-rural integration and cultural confidence. This paper focuses on the construction and governance of new public cultural spaces in villages, and selects Chunhua County in Shaanxi Province as a research case. Through field research, we summarise its successful experiences and problems, aiming to provide practical references for the construction and governance path of new public cultural spaces in villages.

An Employment Framework of Vocational Colleges in Shaanxi Province

Siyao Zhang — 2024-10-14

Based on the current situation and challenges of the employability framework of graduates in higher vocational colleges in Shaanxi Province, this study aims to analyze and identify the key factors affecting the employability of graduates. By exploring the current state of leadership, collaboration mechanisms, talent management and innovation practices, the study will reveal the impact of individual factors, external market environment and institutional support on graduates’ employability. Finally, the research goal is to provide effective employment management countermeasures for higher vocational colleges, enhance the employment competitiveness of graduates, and promote full employment.

The Application of Accounting Principles in Financial Management

Mengfan Xu — 2024-10-14

In today’s rapidly developing market economy and intensifying competition among enterprises, the core position of financial management in enterprise management is becoming increasingly prominent. Accounting principles are the theoretical basis of financial management, which plays a crucial role in guiding the practice of enterprise financial management and promoting the improvement of enterprise economic benefits. In practice, enterprises still lack understanding and application of accounting principles, resulting in low financial management efficiency and frequent occurrence of decision-making errors. Based on this, this article aims to systematically analyze the application of accounting principles in financial management, in order to provide reference and inspiration for optimizing enterprise financial management.

Research on Economic and Legal Regulation of Artificial Intelligence in the Global Digital Context

Feng Wang — 2024-10-14

The improvement of artificial intelligence economic regulations under the global digital background is the foundation for promoting the development of artificial intelligence, and it is also an important way to promote economic development. Because artificial intelligence develops rapidly under the global digital background, it is widely used in various industries and fields, especially in the economic field. The application of artificial intelligence can screen accurate user data, store user information, record user behavior, and promote economic development. However, there is a risk of data leakage or security risks of data abuse in the practical application of artificial intelligence, which seriously infringes on users’ privacy and has a great impact on economic development. Therefore, in order to cope with the impact of artificial intelligence economy under the development of globalization and to ensure that artificial intelligence plays a prominent role and advantage in economic development, this article will study the regulatory system of artificial intelligence economy under the global digital background.