International Journal of Global Economics and Management
International Journal of Global Economics and Management (IJGEM), a peer-reviewed open access journal published in English-language, provides an international platform for the publication and dissemination of original work that contributes to the understanding of the main and related disciplines of global economics and management either empirical or theoretical. The journal covers the whole spectrum of economics, business, management, which includes, engineering and technology management, finance and accounting, economic behavior and organization, investment and management, sustainability management, theoretical and applied business, economics, finance and management sciences, business and economic development, risk management, public policy and administration, and more.
Intelligent Ascension: How Artificial Intelligence is Reshaping the Underlying Logic and Future Ecosystem of Marketing
Nowadays, when we open any shopping app, the recommended products on the homepage often precisely match our unspoken needs; when we browse social media, advertisements seem to understand our current mood; and when we inquire with customer service late at night, an instantly replying intelligent assistant provides accurate and thoughtful answers. These are no longer scenes from science fiction movies but the daily reality unfolding as artificial intelligence (AI) permeates the entire field of marketing. Traditional marketing's "4P" theory (Product, Price, Place, Promotion) reveals its limitations in the digital age—it is based on information asymmetry between businesses and consumers, assuming that companies can influence the market by controlling these elements. However, the maturation of AI and big data technologies is fundamentally subverting this logic: information asymmetry is dissolving, and consumers are transforming from passive recipients into active participants with sufficient information and choices. This is not merely an upgrade of tools but a comprehensive revolution encompassing mindset, organizational structure, and value creation.
Copyright (c) 2026 International Journal of Global Economics and Management https://creativecommons.org/licenses/by-nc/4.0
Mechanism Evolution, Effects, and Adaptive Pathways of Digital-Intelligent-Driven Deep Integration of Culture and Tourism: A Case Study of Henan Province
In the context of the digital economy, digital-intelligent transformation is profoundly reshaping the modes through which culture and tourism are integrated, yet the internal mechanisms through which it drives deep integration remain insufficiently examined. Taking Henan Province as the research context, the integration of culture and tourism has undergone a staged transition from policy-driven to data-driven development and from exogenous promotion to endogenous evolution. Digital-intelligent transformation facilitates the shift from resource-based aggregation to mechanism-based co-evolution by reconfiguring factor allocation patterns, cultural production logic, and governance structures. However, the realization of its effects is still constrained by uneven digital infrastructure, insufficient creative supply, imbalanced industrial collaboration, and lagging institutional adaptation. Addressing these challenges requires systematic adjustment and restructuring of the driving mechanisms, particularly through factor integration, creative integration, industrial coordination, and collaborative governance.
Global Landscape of Climate Change Response, Chinese Practices, and Financial Challenges
This study examines advancements in addressing climate change on an international scale, with a particular focus on initiatives undertaken in China, while also identifying the fiscal and funding obstacles that have emerged throughout these efforts. The study finds that although a global climate governance framework centered on the Paris Agreement has been established, it faces structural dilemmas such as intensifying geopolitical rivalry and a "deadly gap" between emission reduction actions and temperature control targets. China's pursuit of its "dual carbon" targets, supported by the overarching "1+N" policy framework, has yielded substantial progress in sectors such as renewable energy and electric vehicles. This approach reflects a transition strategy oriented toward fostering sustainable economic growth. However, global climate action is severely constrained by funding, with the scale of finance falling far short of requirements and exhibiting structural imbalances between mitigation and adaptation efforts, as well as across different regions. The conclusion points out that the future success of global climate governance hinges on bridging three critical divides—political, implementation, and financial—by driving reforms in the financial system and fostering substantive international cooperation.
Equity Incentive of Core Employees and Enterprise Performance
Against the backdrop of rapid digital economy development, core employees are key to enterprises’ competitive advantage. Equity incentive, a critical mechanism linking core employees to long-term corporate growth, has drawn wide attention for its relationship with enterprise performance. This paper uses literature research, case analysis, and financial indicators to study Alibaba, sorting out its core employee equity incentive development and system design, analyzing the internal mechanism of equity incentive on performance, and verifying effects via financial and non-financial data. Findings show Alibaba’s "hierarchical grant, dynamic adjustment, long-term lock-in" equity incentive system significantly boosts performance by cutting agency costs, stimulating innovation, and stabilizing talent. However, issues like unbalanced incentive intensity and rigid assessment mechanisms exist. Conclusions provide theoretical and practical references for Internet enterprises to optimize equity incentive schemes and achieve sustainable performance growth.
Research on the Application of Six Sigma Management in the Service Industry
With the intensification of globalization and market competition, the service industry faces unprecedented challenges and opportunities. In this context, how to enhance service quality, reduce costs, and improve customer satisfaction has become an urgent issue for service industry managers. Six Sigma management, as a mature quality management methodology, has been widely applied in the manufacturing sector with remarkable results. This paper aims to explore the application of Six Sigma management in the service industry, hoping to provide new ideas and methods for its development. It examines the application of Six Sigma in services and demonstrates its practical effects through case analysis. The results indicate that Six Sigma management holds broad application prospects and potential in the service industry. In the future, with the continuous development of the service industry and increasing market competition, Six Sigma will play an even more significant role. Simultaneously, it is important to recognize that challenges and issues remain in applying Six Sigma to services, such as how to better integrate it with the characteristics of the service sector and how to cultivate professionals with Six Sigma management capabilities. Therefore, further research and exploration are needed to continuously improve the application system and methodologies of Six Sigma management in the service industry.
Electric Vehicle Routing Optimization Oriented to Intelligent Transportation Systems: A Review and Future Trends
With increasingly stringent environmental constraints and the rapid growth of urban logistics demand, electric vehicles (EVs) have become an important component of urban delivery systems due to their low-carbon, energy-efficient, and low-noise characteristics. However, limited driving range, charging requirements, and the uneven spatial distribution of charging infrastructure make the electric vehicle routing problem (EVRP) significantly more complex than conventional vehicle routing problems, posing new challenges to logistics operations and traffic management. In recent years, extensive research has been conducted on EV routing optimization, covering route planning, charging strategy coordination, mixed fleet operations, and charging infrastructure deployment. Meanwhile, the rapid development of intelligent transportation systems (ITS) has provided new technical support for EV routing optimization. By leveraging real-time traffic information, data sharing, and intelligent dispatching, ITS enhances the adaptability and responsiveness of routing decisions, thereby improving delivery efficiency and reducing energy consumption and emissions. This paper presents a comprehensive review of EV routing optimization oriented to ITS, systematically summarizing key research issues and application scenarios. Future development trends related to technological integration, infrastructure planning, and system-level coordination are also discussed, providing insights for the development of efficient, low-carbon, and sustainable urban logistics and transportation systems.
Research on Complex Distribution Fitting and Evolution Model of Dynamic Data
In the era of big data, dynamic data in the fields of financial transactions, environmental monitoring, medical care and health care are growing explosively. Due to its timeliness, volatility and multi-source characteristics, the data distribution presents a complex multi peak and non-stationary state, and the traditional static fitting method is difficult to meet the actual analysis needs. This paper focuses on the complex distribution fitting and evolution mode of dynamic data, analyzes the core characteristics of dynamic data and the difficulties of distribution fitting, sorts out the applicable scenarios and improvement strategies of common distribution fitting models, constructs the representation system and identification method of evolution mode, verifies the effectiveness of the model through the real scene demonstration, and expands the application scenarios to complete the effect verification. The research shows that the improved dynamic fitting method based on Gaussian mixture model has significant advantages in multimodal data fitting, and the goodness of fit is improved by 10%~20% on average compared with the traditional method, and the evolutionary pattern recognition can effectively capture the trend and mutation of data, and the conclusion is consistent with the empirical research conclusion in the same field. This paper provides method support for accurate analysis of dynamic data, and has important reference value for decision optimization in the actual field.
Research on the Impact of Resource Allocation on the Living Standards of Residents in Impoverished Areas
Resource allocation is the core lever for adjusting regional development gaps and improving the living standards of residents in poverty-stricken areas. This article is based on the background of the connection between poverty alleviation and rural revitalization, focusing on the five resource dimensions of education, healthcare, infrastructure, industrial support, and public services. Through literature research, policy analysis, and quantitative empirical methods (two-way fixed effects multiple linear regression model), empirical induction is used to explore their impact mechanisms on residents' income, quality of life, and development opportunities. Research has found that balanced resource allocation determines the foundation for the survival and development of residents in poverty-stricken areas. Investment in education and industry resources enhances long-term income generating capacity, optimization of healthcare and infrastructure reduces living costs and risks, and improvement of public services narrows the urban-rural gap. There are still problems in poverty-stricken areas, such as insufficient precision in resource allocation, poor flow of urban and rural resources, and incomplete mechanisms for diversified investment. This article proposes precise matching of needs, building a diversified investment system, and strengthening policy guarantees, providing practical references for improving residents' living standards and promoting comprehensive rural revitalization.
Research on the Impact Mechanism of ESG Practice and Policy Stability on Corporate Financing
This article focuses on the impact logic of ESG (Environmental, Social, Governance) practices and policy stability on corporate financing. By combining information asymmetry theory, institutional economics theory, and the current status of corporate financing practices, the article analyzes the pathways of the two - ESG practices optimize financing conditions directly by mitigating information gaps and strengthening corporate reputation, while policy stability focuses on reducing environmental uncertainty and regulating the financing empowerment effect of ESG practices. The two work together to build a healthy ecosystem for corporate financing. Research has found that standardized ESG practices can effectively weaken the risk concerns of financial institutions and investors, while continuous and stable policies can build confidence in corporate ESG investment, further loosening the financing environment. All conclusions are based on public policy documents, industry reports, and academic achievements, which can provide practical references for enterprises to optimize financing strategies and governments to formulate relevant policies.
Conflict of Interest and Coordination Mechanism in Multi-Agent Collaboration
The coordination mechanisms for resolving conflicts of interest among multiple stakeholders are crucial for the efficient operation of science and technology innovation supply chains. The fixed proportion allocation model and static incentive system prove inadequate for complex innovation practices, while flexible distribution methods, dynamic adjustments, and multidimensional performance evaluation systems better stimulate initiative and ensure collaborative stability. Multi-level governance frameworks, consensus-building culture cultivation, and incentive compensation mechanisms at the local policy level provide robust safeguards to mitigate cooperation friction and enhance collaborative innovation capabilities. The study concludes that institutional innovation and incentive mechanism optimization serve as the foundation for promoting efficient multi-stakeholder collaboration in science and technology innovation supply chains, enabling resource integration and sustainable development of innovation ecosystems. These findings offer theoretical support and practical references for regional innovation governance and policy formulation.
Analysis of the Development Status and Trends of Flexible Employment from the Perspective of Labor Economics
The deep integration of digital economy and platform technology has made flexible employment a key part of China's labor market, playing a prominent role in stabilizing employment, expanding domestic demand, and promoting innovation. This article is based on the theoretical framework of labor economics, combined with data and research reports from authoritative institutions such as the National Bureau of Statistics, to systematically analyze the current development status, market impact, and structural contradictions of flexible employment. Research has shown that China has a large number of flexible employment groups, and new types of flexible employment continue to expand, showing characteristics of youthfulness, platformization, and urban agglomeration; Internet technology optimizes the supply and demand matching of labor force, and significantly improves the elasticity of the employment market. However, flexible employment groups still face problems such as low social security coverage, skill mismatch, and ambiguous definition of labor relations. Based on the panel data of the China Family Tracking Survey (CFPS), the empirical analysis verifies the positive impact of Internet use on the self employment probability and labor supply time of flexible employees, and the substitution effect is greater than the income effect. Finally, suggestions are put forward from the dimensions of institutional improvement, skill enhancement, and innovation guarantee, providing reference for building a labor market system that is suitable for new forms of employment.
Research on the Construction of Resilience Evaluation Index System for Tertiary General Hospitals
Objective: To establish a resilience evaluation index system for tertiary general hospitals, providing scientific support for the dynamic assessment of hospital resilience and the formulation of precise improvement strategies. Methods: The initial draft of the resilience evaluation index system for tertiary general hospitals was constructed using the literature review method. Expert consultation was conducted using the Delphi method to form the final index system, and the weight of each level of indicators was determined using the analytic hierarchy process. Results: Two rounds of expert consultation were conducted, with 15 experts invited to participate. The positive coefficient of experts in both rounds was 100%; the expert authority coefficient Cr was all > 0.850; the coefficient of variation Cv ranged from 0 to 0.1675; the average importance score of the first round consultation was in the range of 3.8 to 5, and after adjustment, the average importance score of the second round consultation was in the range of 4.067 to 5. The final resilience evaluation index system for tertiary general hospitals includes 5 first-level indicators, 16 second-level indicators, and 55 third-level indicators. Conclusion: The resilience evaluation index system for tertiary general hospitals constructed through the Delphi method and the analytic hierarchy process in this study has certain scientificity and reliability, providing a theoretical basis for subsequent hospital resilience construction.
Innovative Models and Risk Regulation of Digital Finance Driving the Structural Upgrading of the Sports Industry
Under the wave of deep integration between the digital economy and the real economy, digital finance, as an advanced form of financial technology (FinTech), is gradually becoming a key variable in reshaping industrial logic and promoting structural upgrading. As the head of the "Five Happiness Industries" and a new growth pole of the national economy, the high-quality development of the sports industry urgently needs to break the shackles of traditional financial repression and achieve efficient resource allocation and iterative upgrading of industrial forms through digital means. Based on industrial economics, information economics, and financial development theory, this paper constructs an analytical framework of "Technology-Capital-Industry" to deeply analyze the internal mechanism of digital finance driving the structural upgrading of the sports industry. It points out that digital finance empowers the sports industry to achieve a transition from factor-driven to innovation-driven by alleviating information asymmetry, reducing transaction costs, extending industrial chains, and accelerating technology spillovers. The paper selects Guangzhou as an empirical sample. Combining policy texts such as the "Guangzhou Sports Industry Development Plan" and regional industrial characteristics, it uses qualitative analysis methods to conduct a panoramic scan of the development status of "Sports + Finance" in Guangzhou. The research finds that although Guangzhou has a solid foundation in the sports industry, the traditional financial system still suffers from structural pain points such as imbalanced credit rationing, lack of intangible asset pricing, and insufficient coverage of supply chain finance when facing new business formats characterized by "light assets, heavy experience, and high volatility." Based on this, this paper creatively constructs four innovative models: a sports whole-industry-chain supply chain finance model based on blockchain and IoT, a sports intangible asset (IP) securitization and pledge financing model based on big data, a sports consumer finance innovation model embedded in life scenarios, and a regional digital industry-finance ecological platform model based on government-bank-enterprise coordination. At the same time, this paper does not avoid the new risks that may be brought about by the intervention of digital finance. It focuses on analyzing data privacy leakage, algorithmic discrimination, regulatory arbitrage, and systemic technological risks, and proposes a dual risk prevention framework of "RegTech + Ethical Regulation." Finally, combining the dual strategic goals of Guangzhou building an international sports city and a benchmark city for digital finance, systematic practical paths including top-level design optimization, digital infrastructure construction, composite talent cultivation, and the Greater Bay Area coordination mechanism are proposed. The aim is to provide forward-looking theoretical support and decision-making references for the digital transformation and industry-finance integration of China's sports industry.
Copyright (c) 2025 International Journal of Global Economics and Management https://creativecommons.org/licenses/by-nc/4.0
Embodiment, Recreation, and Empathy: The Narrative Paradigm Shift of Qiaoxiang Intangible Cultural Heritage Cross-Cultural Communication Driven by Generative AI
In the context of the deep integration of digital technology iteration and cultural heritage protection, the cross-cultural communication of Intangible Cultural Heritage (ICH) in Qiaoxiang (hometowns of overseas Chinese) is undergoing a paradigm shift from "digital storage" to "intelligent generation." As a significant source of Chinese overseas migration culture, Jiangmen Qiaoxiang's ICH resources carry unique diasporic memories and ethnic identities. However, facing the intergenerational gap of the new generation of overseas Chinese and the contextual barriers of heterogeneous cultures, traditional static display and one-way communication modes have become ineffective. Generative Artificial Intelligence (AIGC), with its powerful multimodal generation, deep semantic understanding, and human-computer interaction capabilities, provides ontological technical support for reconstructing the communication field of Qiaoxiang ICH. Based on theories of media ecology, phenomenology of perception, and narratology, this paper deeply analyzes the triple narrative paradigm shift of Qiaoxiang ICH communication driven by Generative AI: the shift from visual gaze to embodied immersion in "presence" narratives, utilizing multi-sensory channels to reshape the hometown experience of diasporic groups; the shift from static replication to creative generation in "recreation" narratives, activating the endogenous power of ICH through the modern translation of cultural symbols by algorithms; and the shift from one-way inculcation to emotional resonance in "empathy" narratives, rebuilding intergenerational emotional connections through anthropomorphic interaction and affective computing. The study suggests that AIGC is not merely a technical tool but a generative force reconstructing Qiaoxiang cultural memory and identity. By building a "human-machine collaborative" living inheritance mechanism, it can effectively dissolve the "cultural discount" in cross-cultural communication and realize the global expression and localized acceptance of excellent traditional Chinese culture.
Dilemma Resolution and Mechanism Innovation of Collaborative Education between Sports and Economics & Management Disciplines from the Perspective of Industry-Education Integration
Driven by the dual momentum of the "Healthy China" strategy and the high-quality development of the sports industry, there is an increasingly urgent demand for composite talents who possess both athletic skills and modern business management wisdom. However, the current collaborative education between sports disciplines and economics & management disciplines in universities still faces the dual dilemmas of severe "disciplinary barriers" and "disconnection between industry and education," leading to a structural misalignment between the supply side of talent training and the demand side of the industry. Based on the theoretical perspective of industry-education integration, this paper deeply analyzes the realistic obstructions in the current interdisciplinary collaborative education of sports and economics & management in terms of institutional supply, curriculum system, faculty structure, and evaluation mechanisms. The study suggests that the key to resolving this dilemma lies in breaking the closed loop of single disciplines and constructing a collaborative mechanism with coupled interests. The paper further proposes innovative paths covering a "dual-element driven" governance mechanism, a "competency-based" curriculum reconstruction mechanism, a "dual-qualification structure" teaching operation mechanism, and a "value-added oriented" evaluation feedback mechanism. It aims to provide theoretical compliance and practical solutions for the transformation of the composite sports talent training paradigm under the background of the New Liberal Arts.
From Economic Base to Value Shaping: The Generative Logic and Practical Path of Red Finance Digital Narrative
Against the backdrop of advancing the cultural digitization strategy and the construction of "Comprehensive Ideological and Political Education," Red Finance resources, as historical witnesses to the transformation of the economic base during the revolutionary wars led by the Communist Party of China (CPC), possess unique educational value. However, traditional historical material displays and linear narratives struggle to effectively transcend spatio-temporal barriers, leading to a transformation rupture between "economic facts" and "value beliefs." Grounded in Historical Materialism, this paper proposes that Red Finance digital narrative is not merely a technological application but an innovative practice of value transmission from the economic base to the superstructure. This article deeply analyzes the generative logic of Red Finance digital narratives, demonstrating how they reconstruct a historical "sense of presence" through multimodal symbols, activating college students' embodied cognition and emotional resonance. Furthermore, it reveals the cultivation mechanism of Family-Country Sentiment, progressing from "cognitive deconstruction" to "emotional identification" and finally to "belief establishment." Addressing current dilemmas such as the fragmentation of historical materials and the instrumentalization of technology, the paper proposes practical paths: constructing panoramic knowledge graphs, creating immersive interactive fields, and establishing intersubjective empathy mechanisms. These aim to provide a new paradigm for digital education in universities based on Historical Materialism.
Digital-Intelligence Integration and Ecological Reconstruction: Research on the Collaborative Mechanism of AI-Enabled Personalized Physical Education in Universities
Currently, physical education (PE) in universities is at a critical transition period from standardization to personalization. The intervention of Artificial Intelligence (AI) technologies is not merely an overlay at the tool level but a systemic reconstruction of the PE ecosystem. Grounded in the era of "Digital-Intelligence Integration," this paper deeply analyzes the realistic dilemmas existing in traditional university PE, such as "data silos," "supply-demand mismatch," and "lagging evaluation." Based on Collaborative Governance Theory and Constructivist Learning Theory, this paper proposes constructing a "Technology-Pedagogy-Institution" trinity collaborative mechanism: at the technological level, breaking information barriers through multi-modal data fusion; at the pedagogical level, promoting the reshaping of new "teacher-machine collaborative" teaching relationships; and at the management level, establishing a cross-departmental resource integration and ethical regulation system. The paper further proposes implementation pathways for AI-enabled personalized PE in universities from three dimensions: the construction of precision teaching scenarios, the reconstruction of dynamic evaluation systems, and the governance of ethical pathways, aiming to provide theoretical support and practical references for promoting the digital transformation of higher education and improving the quality of sports education.
Algorithmic Black Box and Value Bias: Ethical Risk Scrutiny and Safety Governance of Generative AI Embedding in Content Production of Internet Ideological and Political Education in Universities
With the rapid development of Generative Artificial Intelligence (AIGC) technologies and their deep embedding into the entire process of content production for Internet ideological and political education in universities, their powerful automated generation and multi-modal interaction capabilities have empowered educational innovation while simultaneously introducing deep ethical risks and security challenges. The inherent "algorithmic black box" attribute of Generative AI leads to the uninterpretability of content production and the concealment of responsible subjects. Meanwhile, potential biases in training data can easily trigger "value bias" in output content, manifesting as the implicit penetration of ideology, the breeding of historical nihilism, and the obscuration of mainstream values. Based on the perspective of the overall national security concept and Marxist technological ethics, this paper deeply scrutinizes the multi-dimensional ethical dilemmas caused by the embedding of Generative AI into university online ideological and political content production, such as data privacy leakage, the dissolution of teacher-student subjectivity, and the solidification of algorithmic discrimination. On this basis, the article systematically constructs a full-chain safety governance system covering "data source purification—algorithmic model alignment—human-machine collaborative review—dynamic risk monitoring" from four dimensions: technical governance, subject reshaping, institutional standardization, and literacy improvement. The aim is to build a strong line of defense for university online ideological security in the intelligent age and promote the organic unity of "tech for good" and educational goals.
Internet Ideological and Political Education
Realistic Dilemmas and Relief Strategies for the High-Quality Development of Sports Consumption in China from the Perspective of Digital Economy
At the historical node where the "Digital China" strategy and the construction of a "Leading Sports Nation" intersect deeply, the digital economy, with its high innovation, strong permeability, and broad coverage, is becoming the core engine driving the high-quality development of sports consumption in China. The high-quality development of sports consumption is not only an important pivot for expanding domestic demand and building a new development pattern of dual circulation but also an inevitable requirement for meeting the people's growing needs for a better life. Abandoning the traditional quantitative empirical paradigm, this paper, based on the dual perspectives of Marxist political economy and New Institutional Economics, constructs a theoretical analytical framework of "Power Change - Efficiency Change - Quality Change" to systematically explain the internal mechanism of the digital economy empowering sports consumption. The study posits that the digital economy provides new growth momentum for sports consumption by reshaping production functions, reducing institutional transaction costs, and innovating consumption scenarios. However, examining current practices, China's sports consumption still faces multiple deep-seated dilemmas in the process of digital transformation: digital infrastructure construction has "soft and hard" shortcomings, and key technologies lack autonomy; the circulation of data factors faces dual blockages of "islands" and "barriers," and privacy security risks are prominent; the supply of high-quality digital sports products has a structural gap, and the virtual-real integration experience is fragmented; the inequality of consumption caused by the digital divide remains severe. Aiming at these bottlenecks, this paper, combining the successful experiences of developed countries, proposes relief strategies such as consolidating new digital infrastructure to build a solid development base, deepening supply-side structural reform to enrich the product system, improving the digital governance system to optimize the consumption environment, building a multi-level talent cultivation mechanism, and adhering to the inclusive orientation, aiming to provide solid theoretical support and practical directions for promoting the modernization and consumption upgrading of China's sports industry.
Development Pathways for the Tea Economy in the Context of Rural Revitalization
Under the comprehensive implementation of the Rural Revitalization Strategy, the tea industry, as a characteristic and advantageous sector in China, carries profound cultural traditions while facing significant opportunities for transformation and upgrading. This paper aims to systematically analyze the development pathways of the tea industry within the context of rural revitalization, employing methods such as literature review, current situation analysis, and strategy synthesis. The study reveals that the tea industry currently suffers from issues such as a monotonous variety structure, low standardization in production, insufficient brand influence, and weak driving force from leading enterprises. Accordingly, it is essential to fully leverage policy opportunities by establishing a whole-process quality standard system, enhancing brand empowerment through cultural elements, and fostering and strengthening leading enterprises. These measures will drive the tea industry toward improved quality, efficiency, and sustainable development, thereby providing robust support for the comprehensive revitalization of rural areas.
Algorithmic Disenchantment and Value Reshaping: Ethical Risks and Governance Mechanisms of Embedding Generative AI into University Ideological and Political Education
As Generative Artificial Intelligence (Generative AI) becomes deeply embedded in the field of higher education, Ideological and Political Theory Courses (hereinafter referred to as "Civics Courses") in universities are undergoing a paradigmatic transformation from "digitization" to "intelligence." As a disruptive technology, Generative AI has greatly enhanced the precision and sense of gain in ideological and political education through automated content production, anthropomorphic emotional interaction, and personalized scenario construction. However, the strong intervention of technological logic has also triggered deep-seated ethical concerns: the algorithmic "black box" may obscure the light of truth, leading to "technological dependence" and "mental laziness" in cognition; data bias may implicitly dissolve the authority of mainstream ideology, triggering "algorithmic colonization" of values; and the alienation of human-machine relationships may lead to the dual withdrawal of teacher and student subjectivity, causing "emotional hollowing" in the educational process. Facing these challenges, it is imperative to perform "algorithmic disenchantment" on Generative AI, penetrating the capital logic and technological limitations behind its instrumental rationality. Furthermore, "value reshaping" in ideological and political education must be achieved through paths such as constructing ethical regulations for "human-machine synergy," creating independent and controllable vertical models, and reshaping the digital literacy of teachers and students. This paper aims to explore the dialectical unity of technological empowerment and value leadership from the three dimensions of ontology, epistemology, and axiology, providing an ethical barrier and governance scheme for the high-quality development of university Civics Courses in the intelligent era.
University Ideological and Political Education
Digital Narrative and Scene Reconstruction: Cultural Memory Reconstruction and International Communication of Rural Sports Event IP
In the dual context of a mediatized society and global mobility, rural sports events are no longer confined to localized physical competition but have evolved into trans-border cultural symbols and carriers of collective memory. As a renowned "Qiaoxiang" (hometown of overseas Chinese) in China, Jiangmen hosts rural sports events that carry the unique ethnic identity and local attachment of overseas Chinese at home and abroad. However, under the traditional communication model, due to spatiotemporal obstruction and contextual disembedding, these events face the dilemma of memory rupture and diminishing communication efficacy. Based on the theory of cultural memory and media scene theory, this paper adopts a qualitative research paradigm to deeply explore how digital technology promotes the generation and international communication of Jiangmen rural sports event IP through the dual mechanisms of "narrative reconstruction" and "scene recreation." The study finds that digital narrative transforms grand clan history into micro-individual life experiences, realizing the shift of cultural memory from "solid storage" to "liquid flow"; meanwhile, scene recreation utilizes virtual reality and instant interaction technologies to eliminate physical distance, constructing a "digital homeland" with intersubjectivity. The synergy of the two dissolves the "cultural discount" in cross-cultural communication and triggers emotional resonance and value recognition among global overseas Chinese. Based on this, the paper proposes paths such as constructing an omni-media narrative matrix, creating immersive ritual spaces, and cultivating "Glocal" (Global-Local) communication communities, aiming to provide theoretical insights and practical solutions with Qiaoxiang characteristics for the international communication of Chinese rural cultural IP.
From "Etiquette Constraint" to "Value Identification": An Exploration of the Internal Drive Transformation Mechanism of Integrating Ideological and Political Elements into Business Etiquette Courses
Against the backdrop of the deepening reform of "Curriculum Ideology and Politics" in higher education, transforming value guidance from external discipline into students' internal identification is a key challenge to enhance the effectiveness of education. Business Etiquette courses, by virtue of their combination of external behavioral norms and internal value-bearing capacity, provide a unique field for exploring this transformation mechanism. Using Self-Determination Theory as the analytical framework, this paper aims to investigate how the integration of ideological and political elements into Business Etiquette courses can achieve a systematic transformation from relying on the external drive effects of "etiquette constraint" to stimulating the internal drive effects of "value identification." The article first clarifies the dialectical relationship between "external drive" and "internal drive" in ideological and political education, then analyzes the prevalent "external drive dependence" dilemma in current practices of integrating ideology and politics into Business Etiquette courses. The core section constructs an internal drive transformation mechanism model based on three pillars: "fostering autonomy," "cultivating competence," and "strengthening relatedness." Combined with specific teaching cases, it proposes practical pathways of "contextual empowerment - graded practice - community construction." Research indicates that through carefully designed pedagogical transformation, the concrete rules of business etiquette can effectively serve as cognitive "scaffolding" and emotional "triggers" for Socialist Core Values, thereby opening the psychological channel from behavioral compliance to value internalization, offering theoretical reference and practical inspiration for the ideological and political construction of similar courses.
Research on Strategies for Improving Public Satisfaction of Government Flood Emergency Information Service: An Example from Three Cities in Henan Province, China
Government emergency information services constitute the core basis for the public to assess risks, take scientific precautions, and mitigate panic during an emergency. To enhance public satisfaction with government flood emergency information services, this study first constructs a set of indicators to evaluate public satisfaction. Subsequently, based on data obtained from questionnaire surveys, the level of government flood emergency information services for public satisfaction was assessed, and the impacts of factors influencing satisfaction were analyzed. Finally, strategies and recommendations were proposed to improve public satisfaction with government flood emergency information services. The results showed that (1) the overall public satisfaction level of government flood emergency information services Henan Province (Zhengzhou city, Xinxiang city, and Jiaozuo city) was at a higher level, and the respondents who had high, moderate, and low levels were 57.55%, 39.15% and 3.30%, respectively. (2) The public satisfaction score of government flood emergency information services, from highest to lowest, was emergency warning information service, response information service, and recovery information service. (3) From the perspective of influencing factors, the differences in the effects of age (46-60 years), education level, occupation (students, enterprise employees, others), and information characteristics (information reliability, availability, accessibility) on the public satisfaction were statistically significant. Based on the above results, strategies for enhancing public satisfaction with government flood emergency information services were proposed from four aspects: improving information availability, ensuring information reliability, strengthening information accessibility, and enhancing public response capability. The results and strategies can provide a basis and reference for the formulation and implementation of local government emergency information service policies and the improvement of public satisfaction.
From "Data Stacking" to "Meaning Generation": Knowledge Graph Reconstruction and Digital Narrative of Urban Red Cultural Resources from the Perspective of Digital Intelligence
Against the backdrop of the in-depth implementation of the national cultural digitization strategy, the protection and inheritance of urban red cultural resources face a critical challenge of transforming from "digital preservation" to "digital-intelligence activation." Currently, red resource-rich areas represented by Guangzhou generally exhibit a phenomenon of "data stacking" in their digital construction. This is characterized by an emphasis on physical digital scanning and archival listing, coupled with a lack of deep development based on semantic associations. This results in fractured narrative logic of the red gene and a loss of historical context. Introducing the Knowledge Graph theory from the perspective of digital humanities, this paper proposes a path for knowledge reconstruction ranging from the ontology layer and association layer to the application layer. By constructing a red culture domain ontology adapted to Guangzhou's specific characteristic as a "Source of the Revolution," this study achieves semantic interconnection and knowledge reasoning of multi-source heterogeneous data. Furthermore, it establishes a digital narrative mechanism with multi-dimensional coupling of "Time-Space-Event-Person," transforming fragmented information into an embodied and perceptible space of meaning. The research aims to explore the theoretical logic and practical path of value generation for red cultural resources empowered by digital intelligence, providing theoretical support and methodological reference for the living inheritance of urban red memory in the new era.
Exploration and Practice of Talent Co-cultivation and Empowerment between Schools and Enterprises in New Business Form Oriented by Supply and Demand
Guided by the Ministry of Education's employment policy on supply-demand alignment, this study addresses the pressing need for enterprises to cultivate new media operation, marketing, and interdisciplinary management talents during the digital and brand transformation of traditional industries. It also tackles the disconnect between university talent development systems and industry frontiers. By leveraging resources from both academia and industry, the research explores collaborative approaches including joint curriculum development, dual-mentor training systems, and research collaborations with technical training programs. These initiatives aim to nurture high-quality applied talents with new media promotion capabilities and adaptability to emerging industry models, thereby effectively supporting regional economic development.
Talent cultivation for new business models
School-enterprise co-training 1 Introduction
Literature Review on the Evolution of Supply Chain Finance
This paper reviews developments in Supply Chain Finance (SCF) with a particular focus on its applications in fintech, sustainability, and risk management. It first defines the basic concept of SCF and discusses various financing models such as accounts receivable financing and prepayment financing. Subsequently, it focuses on how blockchain and big data technologies enhance the transparency and efficiency of SCF. Regarding sustainability, the paper discusses SCF models that promote environmental protection and social responsibility through financial incentives. Additionally, it examines risk management strategies in SCF, including how to identify, assess, and mitigate potential risks through technical tools and appropriate management measures. The conclusion emphasizes that with the global focus on Sustainable Development Goals, SCF will increasingly prioritize innovation and sustainability, requiring companies and financial institutions to adapt to new technological and market requirements while effectively managing various risks.
A Comprehensive Review of Supply Chain Resilience Research
This article systematically describes supply chain resilience, mainly focusing on two core research areas: the resilience of supply chain logistics networks and the resilience capabilities of supply chain services. Regarding the resilience of logistics networks, scholars have achieved many results in network design optimization, disruption response mechanisms, and resilience assessment frameworks. These include considerations of initial disturbances in network design, probabilistic network graph modeling, load redistribution mechanisms, integration and application of the physical internet, and the use of models and algorithms such as mixed-integer nonlinear programming. In terms of the resilience capabilities of supply chain services, it explains that its core meaning is consistent with supply chain resilience, summarizes multi-dimensional evaluation systems (such as prediction, response, adaptation, recovery, and learning dimensions), key components (resistance and recovery capabilities), and improvement methods such as supply chain digitalization, intelligent logistics, and digital transformation, and explores the heterogeneous impacts of enterprise types, industrial chain positions, regional characteristics, and time lag effects. Through multiple research perspectives and methods, it elaborates on the overall framework and key findings of supply chain resilience research and provides references for subsequent related studies.
The Impact and Response of Modern Intelligent Shipping Development on Traditional Maritime Law System
With the deep penetration of 5G, artificial intelligence, and blockchain technology in the shipping industry, intelligent shipping has moved from technical testing to large-scale implementation. The International Maritime Organization (IMO) has classified Maritime Autonomous Surface Ships (MASS) into four levels, and countries such as Norway and Japan have completed regular trials of L3 level coastal ships. China's Yangtze River Maritime Intelligent Platform has identified 93000 safety hazards and avoided 17 collision accidents. However, the traditional maritime law system, which is based on "manual operation," has significant gaps in terms of subject identification, responsibility division, and regulatory rules. In 2022, the South Korean Golden Ray roll on/roll off ship capsized due to a defect in its intelligent navigation software, and in 2024, the CMA CGM Libra ship ran aground due to an error in its intelligent route planning. Both accidents resulted in disputes over liability identification due to the lack of clear legal regulations; Since the revision of China's Maritime Law in 2020, it has only mentioned "smart ships" in the "General Provisions" and has not covered the core provisions, lagging behind the non mandatory MASS rules process of IMO 2026. This article combines real cases and legislative dynamics to analyze the essence of institutional impact, and proposes a response path of "international rule connection+domestic institutional supplementation", providing practical reference for the adaptation of maritime law to intelligent shipping.
Evolution of China's Foreign Trade Policy and Its Influence on International Trade Pattern
Since the reform and opening up, China's foreign trade policy has experienced a new stage from export-oriented to institutionalized opening up, and then to high-quality opening up. China conforms to the trend of economic globalization, continuously expands its opening up to the outside world and actively carries out economic and trade cooperation with other countries on the basis of equality and mutual benefit. This evolution has not only promoted the sustained growth of China's economy, but also profoundly affected the global trade pattern. This paper systematically analyzes the adjustment process of China's foreign trade policy from the aspects of historical evolution, internal logic and external drive, and discusses its influence on global value chain, regional cooperation and international economic and trade governance, so as to provide reference for understanding China's opening strategy and changes in international trade pattern in the new era.
International Economic and Trade Governance