Abstract: With the deepening of the transformation and upgrading of the construction industry and high-quality development, the intrinsic relationship and optimization path between Construction Quality Management (CQM) and Organizational Performance (OP) have become a core issue of concern for both the industry and academia. The traditional quality management system faces many challenges in responding to increasingly complex engineering requirements and urgently needs to integrate emerging technologies to achieve strategic upgrades. This study focuses on exploring the empirical correlation between construction quality management practices and organizational performance (covering multiple dimensions such as cost, schedule, safety, satisfaction, etc.), and deeply analyzes the intelligent technology driven path centered on the deep integration of Building Information Modeling (BIM) and Internet of Things (IoT) technology, aiming to construct a strategic framework of "quality technology performance" linkage. This study reveals the correlation mechanism between construction quality management (QC) and organizational performance (OP) through empirical analysis, and proposes a performance upgrade path by integrating BIM IoT technology. Using a mixed research method (quantitative questionnaire+qualitative case), the significant impact of QC elements on OP was verified (β=0.78, p<0.01), and a "technology management performance" strategic framework was constructed. The results show that BIM IoT improves quality and efficiency through data collaboration (reducing design changes by 30%), real-time monitoring (reducing rework rates by 25%), and decision optimization, ultimately driving OP growth of 18% -24%. The research provides a feasible strategic paradigm for the digital transformation of the construction industry, verifying the necessity of technology integration and institutional innovation to drive organizational sustainable competitiveness. This study not only reveals the close … Read More

Abstract: This study examines the impact of financial agglomeration on China’s regional economic development, revealing its positive effects in enhancing capital allocation efficiency, reducing corporate financing costs, and driving industrial upgrading. It simultaneously highlights negative impacts such as financial risk concentration and regional development imbalances, providing theoretical foundations and policy references for promoting coordinated development between finance and regional economies. Through analysis of the formation mechanisms and pathways through which financial agglomeration influences regional economic growth, the research concludes that while financial agglomeration positively impacts capital allocation efficiency, reduces corporate financing costs, and promotes industrial upgrading, it also carries adverse effects including financial risk accumulation and exacerbation of regional development disparities. This study offers theoretical support and policy recommendations to facilitate harmonious development between financial agglomeration and regional economic coordination. Read More

Abstract: This paper studies how luxury brands act in the metaverse. It utilizes a literature review and two semi-structured expert interviews. It details three stages of digital adoption: resistance, selective integration, and Web3 experiments. It explains how NFTs, virtual goods, and token-gated access create technical scarcity and visible status. It shows how young consumers use digital items to build identity and community. It also lists key risks: energy use, data privacy, and brand dilution. The findings outline key digital tools that help maintain core luxury values and point to unanswered questions about long-term brand equity and consumer behavior. Read More

Abstract: The study explores how awareness of specific functional attributes in plant-based milk alternatives influences purchase behaviour among Chinese fitness enthusiasts, addressing a critical knowledge gap in specialised consumer segment research. Employing a grounded theory methodology, the research conducted semi-structured interviews with 20 participants (12 female, 8 male) across diverse fitness disciplines, utilising systematic qualitative analysis techniques including open, axial, and selective coding to develop a comprehensive theoretical framework. The research identified five core categories significantly influencing purchase decisions: Functional Attribute Knowledge System, Cultural-Scientific Decision Integration, Training-Adaptive Selection Strategy, Performance Outcome Validation, and Sensory-Functional Balance. The analysis revealed complex interactions between traditional Chinese dietary principles and modern sports nutrition science, with participants demonstrating sophisticated mechanisms for evaluating functional attribute claims. The study provides both theoretical and practical contributions, offering a novel theoretical model explaining functional attribute perception, insights into the unique decision-making processes of Chinese fitness enthusiasts, and actionable recommendations for product developers and marketers in the plant-based milk market. As the first study examining Chinese fitness enthusiasts' plant-based milk motivations, this research bridges critical gaps in understanding specialised consumer segments and their nutritional decision-making processes. Read More

Abstract: This paper conducts a systematic study on the long-standing issue of "shortage of professional and technical talent" faced by private manufacturing enterprises in Yunnan Province. It analyzes the underlying causes and practical constraints from multiple dimensions such as development opportunities, salary levels, children's education, housing costs, and geographical location. The research finds that the current structural imbalance between talent supply and demand, insufficient attractiveness of enterprises, and inadequate policy support are key factors leading to the inability to "attract and retain" talent. Based on this, the paper proposes four targeted, systematic, and actionable policy recommendations: First, establishing a tiered and categorized education guarantee mechanism for the children of employees in private enterprises. Second, constructing a housing purchase and rental subsidy system jointly borne by the "government + enterprises". Third, building online cooperation platforms and organizing "University-Enterprise Co-creation" innovation and entrepreneurship competitions to strengthen long-term interaction between enterprises and talent. Fourth, leveraging Yunnan's rich tourism resources to conduct "Attracting Talent to Yunnan" free tourism experience activities targeting college students nationwide. This paper emphasizes that policy design should focus on "visibility" and "effectiveness," using a combination of measures to enhance the overall talent competitiveness of Yunnan's private manufacturing enterprises and provide sustained intellectual support for the high-quality development of Yunnan's manufacturing industry. Read More

Abstract: In corporate management, the degree of synergy between budget management and performance appraisal directly impacts the efficiency of organizational resource allocation and the effectiveness of strategic implementation. According to the "Enterprise Budget Performance Management Development Report" released by the Chinese Academy of Fiscal Sciences, 60%-75% of enterprises experience a misalignment between budget targets and performance indicators. The resulting sunk costs average 10%-15% of an enterprise's annual budget, resulting in wasted resources and weakening the support provided by management tools for the business. Based on the balanced scorecard theory and dynamic budget management theory, this article explores optimization paths for a performance appraisal system based on budget management from five perspectives: current situation diagnosis, theoretical integration, technical support, mechanism innovation, and cultural support. The study found that enterprises currently face common problems such as unrealistic goal setting, unbalanced indicator design, and ineffective execution and monitoring. Deep integration of budget and performance can be achieved through strategies such as establishing a dynamic target adjustment mechanism, improving a multidimensional indicator system, strengthening ERP system technology capabilities, implementing quantitative management and control throughout the entire process, and promoting organizational cultural transformation. Practice has shown that the optimized system can improve resource allocation efficiency by about 20%, enhance corporate strategic execution, and provide reference management upgrade solutions for organizations of different sizes and industries. The relevant conclusions can be verified through industry statistics and theoretical practice. Read More

Abstract: Against the backdrop of intensifying global competition in the aquatic products trade, Guangdong Province, as a core region for both the production and export of aquatic products in China, holds significant research value in studying its development status and the evolution of its competitiveness. Based on production and export data from 2013 to 2023, this paper systematically analyzes the industrial foundation, market performance, and competitiveness characteristics of Guangdong’s aquatic products industry. The findings reveal that: On the production side, the total output of aquatic products in Guangdong has grown at an average annual rate of 1.46%, consistently ranking among the top three nationwide over the long term, although the growth rate has exhibited non-linear fluctuations. On the export side, although Guangdong has maintained its position as the leading exporter of agricultural products in China for many years, its competitiveness faces multiple challenges. The Trade Competitiveness Index (TC) dropped from 0.45 in 2013 to -0.19 in 2023; the Revealed Comparative Advantage Index (RCA) fell from its peak of 0.66 in 2021 to 0.51 in 2023. Additionally, the export market is overly reliant on traditional regions, while emerging markets, despite showing growth, have not yet formed a stable support base. Other prominent issues include a low proportion of high-value-added products, insufficient added value across the industrial chain, and more. Finally, the paper proposes targeted policy recommendations in areas such as technological upgrading, cold chain infrastructure development, market diversification, and industry standardization. Read More

Abstract: This paper aims to explore the impact of ESG practices on Tesla's financial performance, clarify the relationship between the two and the influencing path, and provide references for ESG practices in the automotive industry. The research uses the literature research method and case analysis method. It sorts out ESG-related theories and literature, and combines Tesla's Impact Reports from 2020 to 2024 and third-party data to analyze its ESG performance from the dimensions of environment, society, and governance. It also evaluates the impact on financial performance in combination with financial indicators. The study finds that Tesla's ESG disclosures are polarized. The environmental data is detailed, but the disclosure of negative information on society and governance is insufficient. ESG practices have broadened its financing channels and optimized financing costs. The impact on financial performance is complex. In the short term, it increases costs and reduces profitability, while in the long term, through technological innovation, brand reputation improvement, etc., it promotes the improvement of profitability, operating ability, solvency, and development ability. Based on this, ESG optimization strategies are proposed from the perspectives of enterprises, the market, and the government. At the same time, the deficiencies of this study, such as the lack of quantitative analysis, are pointed out to provide directions for follow-up research. Read More

Abstract: This study examines the nonlinear relationship between working hours and wages using cross-sectional data from the American Community Survey (ACS), while accounting for variables such as age, gender, race, and language proficiency. By constructing three progressively expanded regression models, the findings reveal a significant positive correlation between working hours and wages, albeit with diminishing marginal returns. Additionally, age exhibits a concave relationship with wages, where earnings initially rise with age before plateauing. Educational attainment further moderates this relationship, with highly educated individuals benefiting more from additional work hours but also experiencing greater productivity losses due to overwork. The study also highlights persistent wage disparities based on gender and race, with female and non-white workers facing significant income gaps. The inclusion of quadratic terms improves model fit, providing empirical insights for labor market policy formulation. Read More

Abstract: This study acts as a completely practical guide that examines the relationship between Environmental, Social, and Governance (ESG) investments and the financial results of the Chinese publicly traded tech firms. Bearing in mind that the technological sector takes off innovation and economic growth, in particular, an understanding of how ESG engagement is affecting the profitability of companies is crucial for investors, policymakers, and corporate managers. Implementing the panel data of 200 technology firms from the two stock exchanges of Shanghai and Shenzhen during 2010-2022, the research uses fixed-effects regression models to investigate the impact of firm-level ESG scores on key financial indicators such as Return on Asset (ROA) and Return on Equity (ROE). Moreover, the study controls for such factors as firm size, leverage ratio, R&D intensity, and market-to-book ratio in order to evaluate the independent contribution of ESG performance. The empirical evidencing showed a statistically significant, positive correlation between higher ESG scores and financial performance. Interestingly, governance and environment aspects were more related to financial performance than social aspect. These discoveries enlarge the existing literature on ESG investing as they offer unique insights of the Chinese market, serving as the context. With the consideration of the stakeholders and resources-based perspectives, the theory in this study is discussed to find the mechanisms of the connection between ESG and financial performance. Suggestions regarding the incorporation of ESG elements in the tech industry are outlined for the sector's regulators, institutional investors, and corporate executives. The paper ends with the proposition of possible future directions of research, e.g., ones that are focused on causation and dealing with the influence of the 2020 regulations on ESG-related financial outcomes in China. Read More

Abstract: The deepening of global economic integration has promoted the gradual convergence of accounting standard systems across countries, particularly regarding reforms in the critical field of revenue recognition. International Financial Reporting Standards (IFRS) have undergone continuous revisions and been widely adopted worldwide. China’s accounting standards have gradually converged with international standards over the past few years. Notably, in 2017, the Ministry of Finance issued Accounting Standard for Business Enterprises No. 14 - Revenue, which has been implemented since 2018. The introduction of this new revenue standard marks a major transformation of China’s accounting system. This study aims to explore how the new revenue standard affects the quality of corporate financial information. Specifically, from the perspective of accounting conservatism, it analyzes how enterprises balance flexibility and conservatism while complying with the new standard to ensure the reliability and relevance of financial information. This research holds significant theoretical and practical value for improving the theory of revenue recognition, enhancing the transparency of corporate financial reports, and providing policy recommendations for regulatory authorities. Read More

Abstract: With the acceleration of digital transformation and intensified workplace competition, work stress has become a core factor affecting employee well-being and organizational performance. A 2023 World Health Organization (WHO) report indicates that approximately 35% of workers worldwide experience psychological problems such as anxiety and burnout due to chronic work stress. As a key psychological capacity for coping with stress, the cultivation and improvement of employee resilience has become a research focus in organizational management and occupational health. Based on literature research and theoretical analysis, this paper systematically explores multiple pathways to enhance employee resilience, incorporating classic frameworks such as resource conservation theory and psychological capital theory. Research indicates that enhancing employee resilience requires more than a single-dimensional intervention; rather, it requires a coordinated system of "individual empowerment, organizational support, and social protection": At the individual level, emotional management, cognitive restructuring, and health management skills must be strengthened; at the organizational level, flexibility systems, mental health support, and a positive culture must be improved; and at the societal level, a solid external foundation must be established through policy regulations, cultural guidance, and public services. This article's findings can provide practical references for companies to optimize human resource management and reduce employee turnover. They also offer theoretical insights for subsequent research in the field of occupational mental health, ultimately contributing to a mutually beneficial relationship between employee personal development and organizational sustainability. Read More

Abstract: Against the backdrop of intensifying global competition in the cultural industry, China's cultural industry faces challenges such as "cultural discount" and "narrative dilemma." However, "Nezha: The Devil Child Conquers the Dragon King" (Nezha: The Devil Child Conquers the Dragon King) has become a prime example of the emergence of new productivity within the cultural industry, leveraging technological empowerment, industry chain collaboration, and the global dissemination of cultural IP. This study, taking "Nezha 2" as a case study, explores the inherent logic and practical paths of cultural industry innovation, revealing the specific manifestations and mechanisms of new productivity within the cultural industry. It aims to deeply integrate China's outstanding traditional culture with modern technology to empower the innovative development of China's cultural industry. Read More

Abstract: This paper analyzes the business performance of EAZER, a retail company specializing in cleaning tools that emphasizes user convenience under the slogan “make your life easier.” The analysis focuses on evaluating the company’s product performance using key business analysis models. Specifically, the RFM (Recency, Frequency, Monetary) model is applied to identify the target product; regression analysis is used to assess sales trends; and correlation and sentiment analysis are conducted to investigate the causes of product returns and customer complaints. Findings reveal that among EAZER’s 13 products, Product 2 dominates in sales and demonstrates significant seasonal fluctuations. RFM analysis indicates a generally consistent customer engagement across products, while return and complaint patterns are concentrated at the product level and exhibit a negative correlation. These insights suggest a need for targeted strategies during low-demand seasons and a more responsive approach to managing negative customer feedback. Recommendations are developed using the 7Ps marketing mix and SMART objective frameworks. They include implementing dynamic promotional strategies during off-peak periods and establishing measurable, data-driven mechanisms to address negative sentiment and improve customer satisfaction. The analysis is based on 2023 data covering sales, returns, and customer complaints, and utilizes multiple statistical tools including t-tests and sentiment classification. Overall, the paper provides actionable insights to enhance EAZER’s performance and competitive standing in the B2C market. Read More

Abstract: With increasing global focus on sustainability and corporate responsibility, the demand for comprehensive Environmental, Social, and Governance (ESG) disclosures has grown significantly. This research explores the relationship between ESG (Environmental, Social, and Governance) disclosures and the financial performance of publicly traded companies in China. Utilizing both descriptive and inferential statistical techniques, we assess key financial indicators, including Return on Assets (ROA), Return on Equity (ROE), and Tobin’s Q, to investigate the influence of ESG reporting on financial outcomes. The research demonstrates that that firms with greater ESG disclosure, particularly in environmental and social aspects, generally experience improved profitability and enhanced investor trust. Additionally, the study highlights that comprehensive ESG reporting can increase market valuation, supporting long-term financial success. The research provides essential insights about ESG practices in China's emerging market as it presents practical recommendations for business leaders and policymakers and investors. Read More

Abstract: Amid U.S.–China trade tensions and pandemic-era disruptions, we compare how U.S. demand shocks affect Mexico’s and Vietnam’s exports to the United States. Using matched-frequency quarterly data, we estimate a bivariate VAR for each country with U.S. GDP (external demand proxy) and exports to the U.S., and assess dynamics via Granger tests, impulse responses, and forecast-error variance decompositions. Mexico shows a rapid and statistically significant export response to positive U.S. demand shocks, with effects peaking within a few quarters and non-trivial medium-horizon contributions in the FEVD. Vietnam’s responses are small and mostly insignificant, and U.S. demand explains little of its near- to medium-term export variance. These side-by-side results derived under a unified identification and frequency document heterogeneous demand sensitivity consistent with near-/friend-shoring stages: tighter U.S.–Mexico supply chain coupling versus Vietnam’s capacity- and organization-driven dynamics. The evidence informs policies to stabilize external-trade growth and calibrate upgrading paths in different integration settings. Read More

Abstract: The Fed's rate hike cycle profoundly impacts the capital flow pattern of emerging market economies through multiple channels. This article systematically analyzes its transmission mechanisms and historical experience, revealing the severe challenges currently facing emerging markets: a sharp slowdown or even reversal of cross-border capital inflows, exacerbating financial market volatility and currency depreciation pressures; a significant increase in external debt burdens, putting pressure on the debt repayment sustainability of some highly indebted economies; and suppressed internal growth momentum, severely squeezing macroeconomic policy space. Historical lessons show that economies with insufficient foreign exchange reserves, fragile external debt structures, and imperfect policy frameworks are particularly vulnerable. To effectively respond, emerging markets need to develop a comprehensive strategic framework: strengthen macroprudential supervision and targeted management of external debt risks; implement a flexible exchange rate regime supplemented by necessary foreign exchange intervention; optimize fiscal revenue and expenditure structures to ensure debt sustainability; promote economic diversification to reduce external vulnerabilities; and actively participate in the development of the global financial safety net and international policy coordination. This article emphasizes that forward-looking policy reserves and resolute structural reforms are key to strengthening emerging markets' resilience and maintaining financial stability. Read More

Abstract: Against the backdrop of increasingly fierce global competition in cultural soft power, the international dissemination of intangible cultural heritage has become a critical pathway for building national image and fostering civilizational exchanges. As a province abundant in cultural resources, Anhui has achieved initial success in the international promotion of its intangible cultural heritage projects, yet still faces challenges such as the lack of an evaluation system, significant cultural discount, and ineffective communication outcomes. This study constructs a comprehensive research framework integrating quantitative and qualitative methods, aiming to systematically assess the international communication effectiveness of Anhui's intangible cultural heritage and deeply analyze its key influencing factors. By drawing on the AISAS model to establish a quantitative evaluation index system and combining questionnaire surveys of audiences in the U.S., Germany, Japan, and South Korea with data from new media platforms, the study conducts multi-dimensional measurements of communication effectiveness. Further, structural equation modeling is employed to validate the influencing factors model, supplemented by qualitative methods such as grounded theory, comparative case analysis, and semiotic analysis. The findings reveal that narrative approaches in communication content, innovative applications of digital technology, cross-cultural adaptability, and the synergistic efficacy of diverse stakeholders are core factors determining communication effectiveness. Based on empirical results, this paper proposes specific strategies to enhance the international communication effectiveness of Anhui's intangible cultural heritage from four dimensions: optimizing content strategies, innovating technological empowerment, strengthening stakeholder collaboration, and promoting industrial linkage, aiming to provide theoretical reference and practical guidance for the "going global" of … Read More

Abstract: Electricity load forecasting is a critical component in ensuring the safe, stable, and economical operation of power systems. However, the nonlinear and dynamic characteristics of load data impose limitations on the accuracy and generalization capabilities of traditional forecasting methods. To address this, this paper proposes a hybrid model (WOA-LSTM) based on the Whale Optimization Algorithm (WOA) and Long Short-Term Memory (LSTM) networks to achieve high-precision forecasting of ultra-short-term electricity loads. This model leverages WOA's global search capability to adaptively optimize LSTM's key hyperparameters, thereby enhancing the model's convergence speed and predictive performance. The LSTM network effectively captures the temporal dependency features of load sequences through its memory gate mechanism, enabling precise modeling of complex nonlinear trends. Experiments validate the model using power load data (15-minute sampling interval) from the 2016 Electrical Engineering Mathematical Modeling Competition, with data divided into training and testing sets. The results demonstrate that the WOA-LSTM model outperforms the single LSTM and other comparison models in metrics such as Root Mean Square Error (RMSE) and Coefficient of Determination (R²), achieving an improvement in prediction accuracy of approximately 10% to 12%. This model provides efficient and reliable decision support for power grid load scheduling and intelligent energy management, offering significant reference value for enhancing renewable energy utilization rates and achieving the dual carbon goals. Read More

Abstract: As the aging population in China continues to deepen, home-based elderly care services have become the core of the elderly care service system. Taking Anhui Province as an example and combining public service performance theory, this paper constructs a theoretical framework for evaluating the performance of home-based elderly care service institutions, which includes four dimensions: resource input, service process, service outcomes, and sustainable development. Through the introduction of comparative case studies of two representative institutions, A and B, the research verifies the applicability of this evaluation framework and identifies key issues in current service provision, such as uneven resource allocation, shortage of professional talents, and inconsistent service quality. Finally, optimization suggestions are proposed from three levels: government policy support, internal management of institutions, and integration of social resources. The aim is to provide theoretical references and practical paths for enhancing the operational efficiency of home-based elderly care service institutions. Read More

Abstract: With the intensification of global climate change and the growing prominence of environmental issues, the Chinese government has proposed the Rural Revitalization Strategy, aiming to achieve high-quality green development of agriculture and rural areas by comprehensively enhancing the "Five-in-One" construction of rural areas. However, the promotion of green energy in rural areas still faces numerous challenges, restricting its widespread application. Therefore, this study explores the paths of public willingness to promote green energy empowering rural revitalization from a social perspective. Through literature review and field surveys, using various database portals provided by the university library system and multiple model algorithms for analysis, it is found that economic interests, environmental awareness, policy support, and technological maturity are the key influencing factors. In response to these factors, corresponding promotion strategies are proposed, including strengthening economic analysis, improving environmental awareness, increasing policy support, and guiding social public opinion. The research results are of great significance for promoting the widespread application of green energy in rural areas and facilitating the formulation of effective policies and paths. Read More

Abstract: This paper analyzes WeBank’s credit risk management system as a representative model of China’s digital banking innovation. It systematically examines WeBank’s multi-stage risk control framework—covering pre-lending, in-process, and post-lending phases—built upon big data analytics, AI-driven credit scoring, and blockchain-based traceability. The study explores how the bank integrates real-time data processing, automated decision-making, and intelligent monitoring to identify, assess, and mitigate risks across the credit lifecycle. While recognizing its effectiveness in maintaining asset quality, the paper also highlights structural weaknesses such as credit concentration, asset pressure, and compliance gaps. Finally, it proposes targeted improvements in data integration, information security, and post-loan fund supervision to enhance the overall resilience and sustainability of WeBank’s risk governance framework. Read More

Abstract: Against the backdrop of the national strategy for cultural confidence and the deep integration of culture and tourism, how to achieve the living inheritance and industrial value transformation of local characteristic cultural IP has become a significant issue of our time. As cultural symbols with global influence, Foshan's "Kung Fu" and "Lion Dance" face practical dilemmas in their integrated development of culture, commerce, and tourism, including the erosion of cultural authenticity, the lack of an industrial linkage mechanism, and an imbalance of rights and responsibilities among multiple stakeholders. Traditional single-governance models led by the government or driven by the market are no longer adequate to meet the developmental needs of this complex system. Based on the theory of multi-stakeholder governance and integrating the intrinsic requirements of industrial synergy and the living inheritance of cultural IP, this paper systematically analyzes the interaction logic and governance imbalances among the three main stakeholders—government, enterprises, and social communities—in the process of Foshan's "Kung Fu" and "Lion Dance" IP empowering the integrated development of regional culture, commerce, and tourism. The study posits that the key to resolving the current dilemmas lies in constructing a new paradigm of multi-stakeholder governance centered on synergistic co-existence. The core of this mechanism is to promote the precise repositioning of each stakeholder's role: the government should shift from being a "leader" to a "guide" and "regulator," focusing on top-level design, platform construction, and market order maintenance; enterprises should transform from "developers" to "innovators" and "co-constructors," assuming social responsibility for cultural inheritance while pursuing economic benefits; and social communities must evolve from "passive inheritors" to "active participants" and "supervisors," becoming the guardians of cultural authenticity and … Read More

Abstract: The Belt and Road Initiative has brought new opportunities for high-quality development to enterprises over its decade-long implementation. Using a difference-in-differences approach, this study examines the impact of the Belt and Road Initiative on total factor productivity among enterprises listed on the Shanghai and Shenzhen A-share markets from 2007 to 2022. The findings reveal a significant improvement in total factor productivity for enterprises influenced by the initiative. Further analysis indicates that the initiative enhances corporate innovation and optimizes human capital structures, thereby boosting total factor productivity. Heterogeneity studies show this effect is more pronounced in non-state-owned enterprises, large-scale firms, and regions with higher exposure levels. The research provides theoretical support and recommendations for the strategic deployment of the Belt and Road Initiative. Read More

Abstract: With the rapid advancement of artificial intelligence technology, large language models (LLMs) are emerging as a revolutionary productivity tool, profoundly reshaping traditional operational paradigms in the field of supply chain management. This paper systematically examines the application value, implementation pathways, and future trends of LLM technology in supply chain management. Research indicates that LLMs, by leveraging their powerful capabilities in data processing, pattern recognition, and predictive analytics, demonstrate significant advantages in core supply chain processes such as demand forecasting, inventory optimization, supplier management, and logistics distribution. These capabilities enable precise market insights, real-time dynamic adjustments, and intelligent decision-making support. The study further highlights that the application of LLMs in the supply chain domain still faces multiple challenges, including data quality, privacy and security, technical implementation, and cost-effectiveness, necessitating targeted strategies for mitigation. Looking ahead, as the technology continues to mature and the ecosystem improves, LLMs are expected to drive supply chain management toward greater intelligence, collaboration, and sustainability, thereby creating substantial value for enterprises. Read More

Abstract: Traditional pedagogical models in undergraduate business education often face challenges in effectively bridging the gap between academic theory and real-world professional practice. This article examines the increasingly significant role of subject competitions—such as business case analyses, marketing challenges, and entrepreneurial startup contests—as a high-impact experiential learning tool. It posits that these competitions are not merely extracurricular activities but essential components of a modern, dynamic business curriculum. This paper provides a comprehensive analysis of how these competitions cultivate a synergistic blend of hard and soft skills crucial for graduate employability. It explores the development of analytical, financial modeling, and strategic planning skills, alongside critical soft competencies including teamwork, leadership, communication, and resilience under pressure. Furthermore, the article proposes a structured framework for the formal integration of competitions into the business curriculum, addressing potential challenges such as resource allocation, faculty workload, and ensuring equitable student access. The proposed model emphasizes faculty mentorship, process-oriented assessment rubrics, and co-curricular support systems to maximize learning outcomes over the singular goal of winning. By mapping the mechanics of competitions to established learning theories, such as Kolb's Experiential Learning Cycle, this paper argues for a paradigm shift where subject competitions are recognized as a core pedagogical strategy. The findings suggest that such integration can significantly enhance student engagement, deepen theoretical understanding, and produce graduates who are better prepared for the complexities of the contemporary global business environment. This article offers valuable insights for academic administrators, faculty, and curriculum designers seeking to innovate business education. Read More