Academic Journal of Management and Social Sciences
Academic Journal of Management and Social Sciences (AJMSS) is a peer-reviewed journal published by Darcy & Roy Press. The mission of the journal is to provide an academic forum for discussing the issues of management, social sciences across the world. All articles published are rigorously and fast reviewed meeting the Journal Quality standards. AJMSS is indexed by CNKI since 1 January 2024.
Data Asset Information Disclosure and Stock Mispricing
This study focuses on Chinese A-share listed companies from 2011 to 2024, exploring the impact of data asset information disclosure on stock mispricing. Through the analysis of annual report texts, it was found that information disclosure significantly reduced mispricing and improved the efficiency of capital market pricing. This effect operates through four channels: promoting digital transformation, attracting analysts' attention, enhancing environmental, social and governance ratings, and curbing earnings management. This effect is more pronounced in non-state-owned enterprises and high-tech companies. The research results provide empirical guidance for information disclosure regulation and data governance in the digital economy.
Copyright (c) 2026 Academic Journal of Management and Social Sciences https://creativecommons.org/licenses/by-nc/4.0
The Effectiveness of Multimodal Localization Strategies in Enhancing International Audiences' Cultural Understanding
In the process of communication on a global scale, the content with multiple modes serves as the carrier mainly used for cross - cultural exchanges, and the strategies of localization act as the path that is key to break through the barriers in culture and reach the goal of effective communication. Being supported by the theory of multimodal discourse analysis and the theory of cultural adaptation, this paper makes an exploration of the paths of application and the mechanisms of effectiveness of the strategies of multimodal localization in the aspect of enhancing the cultural understanding of international audiences by the way of combining the practical cases in the fields like film and television, digital media, brand communication and so on. Through the analysis of the influence of different strategies of localization on the decoding of cultural symbols, the construction of emotional resonance and the deepening of cultural cognition, the study makes a verification that the strategies of multimodal localization can notably improve the understanding and acceptance of the original culture by international audiences by means of adapting to the cultural background and the cognitive habits of the target audience.
Research on Financial Fraud Prevention for Rural Elderly Groups in the Context of Digital Finance
Against the backdrop of the accelerated penetration of digital finance into rural areas, ensuring rural financial security is crucial for stabilizing people's well-being and promoting sustainable rural development. In this process, the research focus should be on the elderly in rural areas. Through an analysis of the practical difficulties in improving the awareness of rural elderly people in preventing financial fraud from the perspective of digital finance, it is pointed out that factors such as the weakened risk identification ability due to the widened digital divide among the elderly, the lack of localized anti-fraud educational resources, the ineffectiveness of traditional propaganda and education models, and the insufficient supply of rural financial services are important obstacles to enhancing the financial fraud prevention awareness of rural elderly people. Based on this, this paper proposes a system for improving the anti-fraud awareness of rural elderly people featuring "precision education, diversified coordination, and long-term guarantee" to address the current issue of weak anti-fraud awareness. Specifically, it includes: developing anti-fraud educational content and channels suitable for the elderly; innovating immersive propaganda and education models integrated with local culture; and improving policy guarantees, talent support, and evaluation mechanisms. This study provides theoretical references and practical paths for solving the problems in financial safety education for the elderly in rural areas.
A Literature Review on the Impact of Generative Artificial Intelligence Usage on Employee Creativity
With the continuous advancement of technologies such as machine learning, deep learning, and natural language processing, generative artificial intelligence (GAI) has ushered in unprecedented opportunities for development. Capable of generating human-like content based on user prompts, GAI has now been widely applied across various domains of employees' work and daily lives. Many employees leverage GAI to gather information, stimulate inspiration, and accomplish a variety of creative tasks, which has also sparked sustained academic interest in how the use of GAI influences employee creativity. Based on this, this paper systematically organizes and reviews the relevant research on the relationship between GAI usage and employee creativity. First, the paper clarifies the fundamental concepts and commonly used measurement methods for both GAI and employee creativity. Next, it focuses on reviewing the mechanisms through which GAI affects employee creativity, revealing that existing studies have yet to reach a consistent conclusion on this issue: some scholars emphasize the positive promoting effect of GAI on employee creativity, while others suggest that GAI usage may also exert a negative impact on creativity. Through this literature review, this paper aims to provide a systematic reference for understanding the complex relationship between GAI and employee creativity and to offer theoretical contributions to subsequent research in this field.
Improve the Efficiency of Employees' Work
Research on the Impact of Patient Capital on Firm Total Factor Productivity
Against the backdrop of China’s pursuit of high-quality economic development, patient capital—characterized by its long-term orientation and stability—is regarded as a crucial force for overcoming corporate innovation bottlenecks and enhancing total factor productivity (TFP). This study examines this relationship using 14 years of data from A-share listed companies in China. The findings reveal that: (1) patient capital significantly promotes TFP growth; (2) digital technological innovation serves as an important mediating channel; and (3) the strength and nature of this relationship vary significantly across different contextual conditions, such as firm market power and life cycle stage. The paper recommends improving the institutional design of capital markets and optimizing corporate information disclosure and governance environments to better leverage patient capital as a strategic enabler of new quality productive forces and high-quality development.
Audit Risks and Countermeasures in Live-Streaming E-Commerce under the New Retail Model
Under the impetus of internet technology and data elements, new retail has propelled the transformation of retail formats from single-channel operation to the in-depth integration of online and offline businesses, among which live-streaming e-commerce, as a crucial implementation form of new retail, has experienced rapid expansion. However, its distinctive characteristics including cross-platform operation, high-frequency transactions and profit-sharing among multiple entities have significantly elevated the audit risks of financial statements. Based on the risk-oriented audit theory, this paper takes Yaowang Technology as a case study and draws on public information such as inquiry letters from the Shenzhen Stock Exchange, regulatory decision documents and the company’s annual reports, to identify the material misstatement risks of live-streaming e-commerce enterprises from three dimensions: the financial statement level, the assertion level and the detection risk. In response to the aforementioned risks, this paper puts forward a systematic set of strategies for addressing audit risks, which involve strengthening industry cognition and strategic risk assessment, improving internal control evaluation procedures and enhancing information technology auditing capabilities. This study aims to provide practical and operable ideas for risk identification and audit procedure design in audit practice, while also offering references for live-streaming e-commerce enterprises to optimize their internal control systems and improve the quality of financial information disclosure.
Exploring Optimized Pathways for Fund Management in Public Hospitals
Against the dual backdrop of deepening healthcare system reform and the advancement of digital transformation, fund management has become a crucial pillar supporting the operation and development of public hospitals. Its efficiency and quality directly affect the continuity of healthcare services, the rationality of resource allocation, and the capacity for sustainable development. At present, public hospitals face prominent issues in fund management, including an imperfect budgeting system, increasing difficulty in controlling accounts receivable, and relatively low efficiency in fund utilization. These problems constrain the effective performance of core hospital functions. Based on the distinctive characteristics and critical importance of fund management in public hospitals, this paper explores optimization pathways from multiple dimensions, including improving full-process closed-loop budget management, strengthening full-chain governance of accounts receivable, refining fund management frameworks, and focusing on accurate resource allocation and the activation of idle funds. The study aims to promote the transformation of fund management in public hospitals from extensive use to refined operation, establish a sound institutional foundation for the safe and efficient operation of funds, and support the coordinated improvement of hospitals’ economic and social benefits.
Comparison of International Anti-Sanction Measures and Their Implications
As globalization advances, international economic and financial sanctions and counter-sanctions have become crucial tools in geopolitical and economic competition. This article examines countries such as Iraq, North Korea, Libya, and Venezuela from a national perspective, comparing and analyzing their counter-sanction measures in areas like economics and finance, politics and diplomacy, information and technology, military and security, and legislation and judiciary. It evaluates the effectiveness and limitations of these measures. Based on this, summarize the lessons learned from different countries' experiences in countering economic sanctions. Combine these with China's strategies for countering economic sanctions to provide insights for countermeasures. This will offer references for building an international counter-sanctions system.
Liability Analysis of Generative Artificial Intelligence in Judicial Application: An Example of Generative Large Models
The application of generative artificial intelligence technology in the judicial field has given rise to core legal issues, including disputes over subject qualification, the delineation of service attributes, and the distribution of tortuous liability. Taking typical cases such as the Tencent Dreamwriter case as the starting point, this paper systematically explores the difficulties in identifying the tortuous liability of generative artificial intelligence under the existing legal framework, focusing on disputes over the liability of service providers, the predicament of determining negligence caused by algorithmic flaws, and the ambiguity in defining infringing acts. Through a comparative analysis of domestic and international legislative practices, the study reveals the "instrumental" essence of generative AI and the core of disputes regarding its legal nature: as the controllers of the technology, service providers are obligated to fulfill legal responsibilities such as data compliance review, labeling of generated content, and filtering of illegal information. Furthermore, the study proposes a functionalist approach to determining tortuous liability, combining the "equivalent causation theory" with the principle of judicial classification to construct a dynamic framework for liability division. At the level of risk regulation, China has established a governance system integrating policy guidance and technical supervision, and has strengthened algorithmic transparency and content traceability through the Measures for the Labeling of Artificial Intelligence-Generated Synthesized Content. The purpose of this paper is to provide both theoretical support and practical guidance for the judicial discretion and institutional improvement in disputes related to generative AI infringement.
A Literature Review of the U.S.-Canadian Trade Relations and Scenarios on Impacts of Tariff Changes Proposed
It is essential to comprehend the current U.S.-Canadian trade relations and their potential future implications, as they can have significant and far-reaching consequences. The effects of Trump’s recent 2025 tariffs will be analyzed by taking a closer look at five major industries of trade, immediate effects on the national economies, public and expert attitudes, as well as potential future outcomes. First, the literature review will discuss the significance of this research. Second, a historical review will examine U.S.-Canadian trade relations overall and across five major industries. Third, a regression analysis will project trade levels under a best-case scenario; next, there will be a discussion of public opinions regarding the policy; finally, there will be a discussion on the optimistic, realistic, and pessimistic future scenarios backed up with expert views.
Antecedents of Employee Retention in Chinese Hybrid Work Models: The Mediating Role of Job Satisfaction
This study explores the factors that determine employee retention in China's hybrid working environment from the mediating perspective of job satisfaction. Through a quantitative survey of 299 employees from various industries, this study identified four main factors influencing employee retention, including work boundaries, supervision and collaboration, occupational anxiety, and cultural background. The results of multiple regression analysis showed that career anxiety and cultural adaptation were the strongest predictors of retention rate, explaining high levels of the variance of retention rate. The results show that job satisfaction significantly mediates the relationship between remote work characteristics and retention, among which supervision and collaboration play almost all mediating roles. Industry heterogeneity analysis reveals clear industry-specific patterns: the financial industry prioritizes clear job boundaries and cultural fit, while manufacturing emphasizes regulatory quality and anxiety-driven commitment. Therefore, this study concludes that Chinese organizations should establish digital work boundaries, use clear career paths to transform moderate career anxiety into motivation, and design localized human resource management frameworks. These findings offer some practical guidance for local human resource practitioners who are implementing hybrid work models in digital transformation.
Practice Exploration and Optimization Path of Huawei Corporate Social Responsibility from The Perspective of Diamond Model
Currently, the competition in technological capabilities among countries is becoming exceptionally intense, and the societal demand for corporate responsibility is rising accordingly. Corporate social responsibility is key to building competitive advantages. This research framework adopts the Diamond Model to explore the effectiveness, existing issues, and underlying reasons of Huawei's social responsibility practices, thereby designing targeted improvement paths. Leveraging its technological accumulation and talent endowment, Huawei has formed a multi-dimensional responsibility layout, but faces challenges in resource coordination efficiency, industrial collaboration depth, and international institutional alignment. If the improved Diamond Model approach is adopted, it can help Huawei find the optimal balance between social responsibility practices and business value creation, providing valuable insights for the strategic planning of corporate social responsibility in tech enterprises.
Research on the Criminal Liability of Manufacturers in Autonomous Vehicle Accidents
With the development of the autonomous vehicle industry, China's criminal law plays an increasingly important role in regulating the criminal liability of participants in autonomous vehicle accidents. However, due to the unique and innovative operating mode of autonomous vehicles, there are many unresolved issues in the criminal law's regulation of traditional automobile traffic accidents through the crime of traffic accident, especially regarding the determination of the criminal liability of manufacturers. Based on the identification and differentiation of the responsible parties in autonomous vehicles, and on the premise that autonomous vehicle systems cannot be criminally liable, this paper analyzes the duty of care of autonomous vehicle manufacturers throughout the production and application process. It emphasizes that manufacturers can be held liable through the perspective of product infringement theory, and examines three different mainstream viewpoints in academia when determining the crime, presenting relevant criticisms from the academic community. Ultimately, it is reasonable to identify the criminal liability of manufacturers in autonomous vehicle accidents as traffic accident crimes, and it is hoped that criminal law can add autonomous vehicle manufacturers as unit subjects of traffic accident crimes, making it feasible both theoretically and practically.
Exploration of Data Mining Methodologies and Applications in Social Work
With the deepening of digital governance, traditional social work is undergoing a critical transition from experience-dependence to a data-driven paradigm. This study aims to explore the application paths and efficacy of data mining technologies within the field of social work. Firstly, the paper systematically reviews the specific application scenarios of classification algorithms, Transformer models, and Convolutional Neural Networks (CNN) in risk prediction for vulnerable groups, client profiling, and text analysis of case records. It demonstrates that data mining methods can significantly enhance the predictability of social services and the efficiency of resource allocation. However, technical intervention also presents challenges such as algorithmic bias, data privacy concerns, and conflicts with professional ethics. Consequently, this paper proposes the establishment of a "technology-ethics" dual-axis digital social work framework, ensuring that while data mining improves professional efficiency, it does not undermine the humanistic essence of social work.
The Application of Legal Proverbs in Criminal Procedure Courses from the Perspective of "Holistic Education"
Law schools in remote western regions face shortcomings in teaching criminal procedure law, a course that is highly practical, theoretical, and lengthy, due to issues such as faculty and curriculum planning. The problem of 'lecture-based' and 'machine-reading' teaching methods is relatively common. Criminal procedure teaching should construct a more reasonable curriculum content system based on the local student level and from the perspective of the teaching object, and then cultivate legal talents with deep ideological and political literacy and both research and application capabilities, in order to reflect the educational goal of 'all-round education'. Criminal procedure law is a field or phenomenon of law closely related to the judicial system of the country, with a long history, ingenious system structure, active and regular legislative changes, and strong practicality. Legal proverbs are a concentrated reflection of its many characteristics. In the process of criminal procedure teaching, one can try to introduce legal proverbs as the starting point of the course content, and combine relevant classic cases, the historical depth of domestic and foreign systems, and the 'stories' behind the judicial practice operation procedures to enhance students' attraction to the course content.
Research on Government Accounting Information Quality from a Big Data Audit Perspective: An Empirical Analysis Based on Yibin City
With the rapid development of big data auditing, issues concerning the quality of government accounting information have become increasingly prominent. Taking the fiscal big data audit practice in Yibin City as a case study, this paper thoroughly analyzes the prominent deficiencies in the reliability, completeness, timeliness, and comparability of current government accounting information. These deficiencies manifest as discrepancies between accounts and actual assets, data silos, information lag, and inconsistent reporting standards. The root causes primarily lie in weak internal controls, lack of data standards, insufficient rigidity in system implementation, and room for improvement in personnel expertise. To address these issues, this paper proposes systematic improvement pathways across three dimensions: technology, management, and talent. Research indicates that big data auditing serves not only as a critical tool for revealing government accounting information quality problems but also as a vital institutional innovation opportunity to drive modernization reforms in fiscal governance. Looking ahead, as big data and artificial intelligence technologies become deeply integrated, enhancing the quality of government accounting information will increasingly depend on systematic and continuous innovation in governance mechanisms.
Government Accounting Information Quality
Research on the Path of Improving the Sharing and Utilization Efficiency of Archives Information Resources
Under the background of the deepening of digital China strategy and the diversification of public archives demand, the insufficient sharing and inefficient utilization of archives information resources have become a prominent bottleneck restricting the release of archives value. This paper systematically combs the policy evolution, platform practice and technology application status of file sharing in China, and finds that the lack of metadata standards, vague boundaries of powers and responsibilities, weak security prevention and control, and the interweaving of the concepts of "valuing custody and neglecting utilization" have formed systematic obstacles such as poor cross-domain circulation and mismatch between supply and demand. Therefore, this paper proposes four-dimensional collaborative paths: first, technology empowerment, deployment of alliance chain and zero-knowledge proof to achieve "availability and invisibility", and construction of multi-modal retrieval and personalized recommendation engine; Second, institutional innovation, the development of open value assessment guidelines and "negative list+white list" mechanism, the establishment of joint meetings and third-party performance audits; The third is management optimization, implementing the dual-track talent project of "archives +IT" and reshaping the accurate service process driven by user portraits; Fourth, social coordination, building a digital community of "urban memory" of archives, libraries and museums, and introducing the feedback mechanism of crowdsourcing and cultural and creative income. The research provides an operational framework for the government to formulate an open policy and the digital transformation of institutions, and promotes the archival resources from "physical concentration" to "value aggregation".
College Students’ Learning Dilemmas and Solving Paths in the Era of AI
The rapid integration of artificial intelligence (AI) into higher education has introduced transformative opportunities—such as personalized learning, democratized access to resources, and career readiness—while simultaneously creating critical dilemmas. College students now grapple with over-reliance on AI tools, information overload, skills gaps, ethical ambiguities, and psychological anxiety about competing with AI-driven automation. These challenges stem from institutional inertia, lagging curricula, and a lack of AI literacy among educators and learners. To address these issues, this essay proposes multifaceted solutions: pedagogical reforms emphasizing active learning and AI literacy, curriculum modernization to blend technical proficiency with uniquely human skills, institutional policies for ethical AI governance, and mental health support to mitigate AI-induced anxiety. By advocating for strategic collaboration between humans and AI, the essay underscores the urgency of reimagining education to balance technological efficiency with intellectual rigor, creativity, and ethical integrity. The path forward lies in fostering adaptability, equitable access, and human-AI synergy to empower students as resilient, ethically grounded leaders in an AI-augmented future.
Artificial Intelligence (AI) in Education
Copyright (c) 2025 Academic Journal of Management and Social Sciences https://creativecommons.org/licenses/by-nc/4.0
The Role of School Environments in Fostering Student Resilience: A Case Study of Tapobhumi School, Kathmandu
This exploratory case study investigates the role of school environments in fostering resilience among students in a disadvantaged region of Nepal. Specifically, it examines the experiences of volunteer teachers who taught at Tapobhumi School, a rural school in Kathmandu, where students face significant socio-economic and infrastructural challenges. Through thematic analysis of interviews with three volunteer teachers, the study explores how physical, relational, and institutional aspects of the school environment contribute to or hinder student resilience. The findings reveal that while the inadequate infrastructure, including poor sanitation facilities, negatively impacts student well-being, positive relationships within the school community and limited resources such as the playground and activity rooms provide crucial support. The study highlights the importance of school environments in shaping resilience and offers practical suggestions for improving infrastructure and expanding volunteer programs.
Exploration of Cultural Education Path of Visual Communication Design Software Courses in Applied Universities Based on Intangible Cultural Heritage
Intangible cultural heritage, as an important carrier of excellent traditional Chinese culture, carries profound historical memories and cultural genes. With the continuous advancement of the "new liberal arts" construction and the "Digital China" strategy, application-oriented universities face dual challenges of cultural inheritance and technological application in talent cultivation. This paper takes three core software courses in the Visual Communication Design major at Liaoning University of Communication as the research object, focusing on "Animate software dynamic design application", "Illustrator software commercial design application", and "Cinema 4D software exhibition design application" to conduct an 18-week teaching practice, exploring a three-stage educational path of "cultural cognition - skill translation - value practice". The research adopts the action research method, combining various methods such as questionnaire surveys, classroom observations, work assessments, and interviews, to systematically analyze how intangible cultural heritage elements can be effectively integrated into the entire process of software teaching, enhancing students' cultural understanding, design transformation ability, and social responsibility. Practice has shown that the deep integration of intangible cultural heritage and software courses not only enhances students' cultural identity and innovation ability, but also provides a feasible paradigm for application-oriented universities to achieve the educational goal of "cultivating people through culture and educating people through technology".
Biopolitics in Crisis: Analyzing The Wandering Earth through Foucault and Agamben's Theories
This article examines the Chinese science fiction film The Wandering Earth as a biopolitical narrative shaped by an apocalyptic crisis. Drawing on Michel Foucault’s theory of biopolitics and Giorgio Agamben’s concepts of sovereignty, bare life, and the state of exception, it argues that the film depicts a form of crisis governance in which collective survival is prioritized through disciplinary control and legal suspension. Michel Foucault’s analysis of biopolitics helps illuminate how techniques of surveillance, normalization, and population management regulate bodies and optimize life in the interests of the state. Giorgio Agamben’s political theory, by contrast, reveals how the normalization of the state of exception enables sovereign power to reduce individuals to bare life. By bringing these frameworks together, the article demonstrates that The Wandering Earth exposes the paradox of biopolitics as both a politics of life and a politics of sacrifice.
Empowerment Mechanism and Practice Path of AI-Assisted Industrial Design for Local Products Under the Background of Rural Revitalization
In the advancement of the rural revitalization strategy, local products serve as the core carrier for activating rural economic vitality and inheriting regional culture. Their industrial transformation and high-quality development are key drivers for industrial revitalization. However, most current local products face prominent challenges such as homogenized industrial design, insufficient transformation of regional culture, low production efficiency, and weak brand recognition, making it difficult to achieve the value leap from "local specialties" to "high-quality commodities". The explosive development of AI technology provides a new solution, accurately empowering their industrial design through three core mechanisms: creativity generation, efficiency improvement, and value addition. To promote the implementation of AI, it is necessary to build a hierarchical platform, establish a "technology + local" collaborative system, advance the integration of the entire industrial chain, and improve the guarantee system to avoid risks. The creative integration of AI and traditional local crafts can effectively enhance the cultural and economic value of products, injecting lasting momentum into rural industrial revitalization.
Promotion Pressure, Heterogeneity and Green Innovation
Based on panel data of 30 provinces in China from 2010 to 2022, this paper studies the influence of official promotion pressure on green innovation by using Two-way Fixed Effects, further discusses the moderating effect of official heterogeneity between them, and analyzes heterogeneity from two aspects of economic development level and urbanization level. The results show that promotion pressure has significant inhibitory effect on green innovation. Robustness test proves the reliability of the results. Based on the analysis of official heterogeneity, it is found that the increase of official tenure is beneficial to weaken the inhibition effect of promotion pressure on green innovation, but the negative relationship between promotion pressure and green innovation is positively moderated by official education. Heterogeneity analysis results show that promotion pressure of officials in economically underdeveloped areas and highly urbanized areas has a more significant inhibitory effect on green innovation. Based on the above conclusions, it is suggested to improve the scientificity of official assessment indicators and improve relevant guidance and support policies, so as to help green innovation and high quality development.
Research on Display Design Practice Teaching under the Background of Ideological and Political Education
Under the guidance of the fundamental mission of &quot; cultivating virtue and nurturing talents&quot;, ideological and political education in curriculum has become the core direction of professional education reform in higher education institutions. As a comprehensive practical course integrating spatial narrative, visual communication, and cultural expression, exhibition design not only involves professional skill development but also closely relates to cultural inheritance, value transmission, and social responsibility, possessing inherent advantages for ideological-political integration. This paper, based on the university-level project &quot; Research and Practice on Teaching Reform of Exhibition Design under the Integration of Ideological and Political Education in Curriculum&quot; at Liaoning Communication University, systematically analyzes the current status and challenges of practical teaching in exhibition design under the context of ideological-political education. By examining the full-cycle practice from project initiation, mid-term implementation to final implementation, the study proposes pathways for deep integration of practical teaching in exhibition design with ideological-political education from four dimensions: teaching system construction, innovative teaching methods, practical platform development, and evaluation mechanism improvement. The aim is to provide replicable and scalable practical paradigms for the reform of practical teaching in exhibition design and similar art-related disciplines in higher education institutions.
Curriculum Ideological and Political Education
Deep Analysis of Digital Marketing Trends and Social Media Strategies: Case Studies in Short-Video Promotion, E-commerce Advertising, and AI-Personalized Marketing
Purpose: This study proposes a comparative research framework designed for systematic analysis of effect differences and mechanisms of three mainstream digital marketing strategies in social media platform settings, addressing the research gap in cross-strategy comparative analysis. Methodology: A research design with a data analysis paradigm originated from specific cases and industry datasets available on the Kaggle competition website, covering three social marketing platforms, namely TikTok's promotion of short videos, ecommerce ads marketing among Facebook users, and A/B group testing datasets derived from an A/B testing engine involving artificial intelligence. Findings: Results showed story-driven content performed better in terms of social interaction effects than merchandised content in a comparison of social marketing strategy effects for promoting short videos, click-through rates being a significant determinant in ecommerce ads conversion, and a significant performance difference in conversion effectiveness with leading internet users preferring personalized marketing advice offered by the A/B engine when compared with existing platforms. Conclusion: This study generates empirical findings fused with principles seeking synergistic marketing strategy characteristics by comprehending content properties’ role in marketing strategy deployment with specific growth mechanisms influencing Internet marketing space performance. Practical Applications: Every business needs to use differentiated strategy configurations according to defined objectives, namely narrative-driven video content for brand engagement objectives and AI-personalized recommendation systems for conversion objectives. A promising area is the combination of high interactivity content with precise algorithmic recommendation systems with a view to maximize marketing effectiveness.
Digital Language Practices within Chinese Immigrant Communities
In the context of information globalization, Douyin and Xiaohongshu have become the core platforms for Chinese immigrants’ digital language practices. This study addresses a significant interdisciplinary gap by examining how immigrants use multilingual and multimodal resources on these platforms to maintain transnational ties, how algorithms convert these practices into capital, and how immigrants negotiate identity under algorithmic and geopolitical pressures. Findings reveal a pattern of “Mandarin dominance, multimodal integration, and functional stratification,” a three-stage algorithmic conversion mechanism, and the use of convergence, divergence, and over-accommodation strategies. This research contributes to academic discourse on digital migration and offers practical implications for supporting immigrant communities.
Research on Construction and Operation Strategy of "Industry Customized" Employment Practice Base in Applied Universities
Against the backdrop of the popularization of higher education and increasingly prominent structural contradictions in the job market, the construction of employment internship bases in applied universities faces practical challenges such as homogenization and detachment from industrial demands. This study takes the collaborative project between the Visual Communication Design program at Liaoning Communication University and Liaoning Hongdong Cultural Development Co., Ltd. as a case study, proposing an &quot;industry-customized&quot; model for internship base development. Centered on deep industry-education integration, this model achieves seamless alignment between talent cultivation and industrial needs through precise alignment with corporate demands, customized development of practical teaching resources, and establishment of a collaborative management mechanism between both parties. The research systematically elucidates the connotation, characteristics, construction pathways, and operational mechanisms of the &quot; industry-customized&quot; model, while building a comprehensive support system encompassing hardware infrastructure, faculty development, and evaluation frameworks. Practical implementation demonstrates that this model effectively enhances students&#039; practical skills and employment competitiveness, providing replicable experience paradigms for applied universities to deepen industry-academia collaboration and innovate talent cultivation models.
Research on the Three-dimensional Ability Training Path of Packaging Design Talents in the Era of AIGC
Artificial Intelligence Generated Content (AIGC) technology is revolutionizing the packaging design industry while presenting new challenges for talent cultivation in higher education. This study, based on a university-industry collaboration between Liaoning Communication University and Shenyang Yujun Education Consulting Co., Ltd., addresses issues in traditional training models such as outdated curricula and disconnection from practical applications by establishing a three-dimensional competency development framework integrating technology, creativity, and practice. The technological dimension focuses on AIGC tool applications and intelligent design thinking, the creative dimension emphasizes interdisciplinary integration and critical innovation, while the practical dimension prioritizes real-world project implementation and industry collaboration. Through multidimensional approaches including curriculum restructuring, platform development, faculty empowerment, and innovative evaluation systems, this research explores new models for applied talent cultivation under industry-education integration, providing actionable paradigms for design education reform in the intelligent era.
The Impact of Global Stock Index Fluctuations on U.S. Inflation: An Empirical Analysis Based on ARIMA and VAR Models
This study investigates the influence of major global stock indices on U.S. inflation, incorporating both domestic indicators (S&P 500 and NASDAQ Composite) and international benchmarks (Hong Kong Hang Seng Index and German DAX). Using monthly data spanning over two decades, we employ Autoregressive Integrated Moving Average Models (ARIMA models) to identify time series characteristics and Vector Autoregressive Model (VAR models) to analyze dynamic interrelationships. The U.S. Dollar Exchange Rate Index is included as a control variable to account for currency effects. Results indicate that both inflation and stock index series are non-stationary but achieve stationary after first-order differencing. Empirical analysis shows that lagged returns—especially from two months prior—of all major indices exhibit a significant positive relationship with U.S. inflation, while the exchange rate exerts a more complex, lag-dependent influence. Granger causality tests suggest that certain indices, particularly the NASDAQ and DAX, contain predictive information for future U.S. inflation movements, whereas feedback from inflation to equity markets is minimal. Impulse response analysis further reveals that unexpected shocks to stock indices lead to short-term increases in inflation, peaking within five to ten months before fading. These findings underscore the important role of global equity markets in shaping U.S. inflationary trends.
U.S. inflation, Stock indices, VAR model, Transmission mechanism.
Current Popularity of Baseball in China and Its Future Development Value
Although baseball is a very popular sport worldwide, compared with basketball, football and table tennis, it is still a very niche sport in China. Although baseball does not have a very wide audience in China at present, it has still achieved certain success in international exchanges and is gradually attracting attention. This research investigated the current situation of baseball in China (including the participation rate of baseball in China, media exposure and policy support, etc.). This research aims to assess the potential economic value of baseball in China, including event operation, copyright sales, equipment manufacturing, training markets, derivative product development, etc., to attract commercial capital and activate the industrial chain. This article will conduct an analysis by using both primary and secondary data. Although the participation rate of baseball in China is relatively low at present, it enjoys a high level of loyalty. With the support of policies, its media exposure is gradually increasing. However, the development of baseball in China still faces many problems, including the lack of venues and facilities, the threshold brought by the distribution rules, and the lack of well-known local stars.