World Journal of Management Science (WJMS) is an international peer-reviewed, open access journal.
DYNAMIC DECISION-MAKING IN PROFESSIONAL SPORTS MANAGEMENT BASED ON MULTIDIMENSIONAL VALUE ASSESSMENT AND FINANCIAL CONSTRAINTS: A CASE STUDY OF THE LOS ANGELES LAKERS
This study addresses the imbalance between athletic performance and economic returns in modern professional basketball management by constructing a dual-objective dynamic decision-making system. First, by decomposing the core objectives of the Los Angeles Lakers, the study establishes a strategic orientation that balances short-term athletic breakthroughs with long-term financial stability. At the player evaluation level, a multidimensional player valuation model was developed, deeply integrating traditional performance metrics with commercial brand value and age-driven injury risk functions, thereby correcting valuation biases toward older or high-commercial-value players inherent in single-metric approaches. Subsequently, a dynamic team financial model was constructed to accurately simulate the progressive luxury tax, repeat luxury tax, and hard salary cap constraints under the 2023 NBA Collective Bargaining Agreement. The results indicate that the Lakers’ current marginal cost of winning has risen significantly due to luxury tax pressures. Based on this, the study employed a multi-objective weighted maximization algorithm to compare and analyze various roster reinforcement strategies, ultimately proposing a functionalist minimalist strategy. By signing rim-protecting centers at the minimum salary and clearing roster space through lightweight contracts, this strategy aims to maximize roster depth and competitive potential without crossing the high-tax threshold. This study provides a scientific, quantitative basis for asset allocation by professional sports organizations operating within a stringent regulatory environment.
Copyright (c) 2026 PengShuo Zhao https://creativecommons.org/licenses/by/4.0
THE MECHANISM AND EFFECTIVENESS OF AI-DRIVEN ESG RATINGS FOR MANUFACTURING ENTERPRISES
In the continuous evolution and development of artificial intelligence, enhancing the ESG of manufacturing enterprises is of great significance for promoting the high-quality and sustainable development of manufacturing enterprises. This paper uses Chinese manufacturing enterprises from 2009 to 2022 as sample data to empirically examine the impact and mechanism of artificial intelligence on the ESG of manufacturing enterprises. Artificial intelligence can effectively promote the development of ESG in manufacturing enterprises, and this result remains valid after a series of robustness tests. The heterogeneity test results show that AI can effectively promote ESG in state-owned manufacturing enterprises that have not yet applied for patents and have a variable equity structure. Further mechanism studies have shown that AI can effectively enhance the ESG of manufacturing enterprises through three channels: reducing financing constraints and resource misallocation rates, and raising awareness of enterprise risk management. The findings provide empirical evidence and policy implications for improving ESG in manufacturing enterprises from the perspective of artificial intelligence.
Copyright (c) 2026 Ying Wang; Cheng Kuang; YuZhi Li https://creativecommons.org/licenses/by/4.0
INFLUENCE OF TRANSMEDIA STORYTELLING ON BRAND IDENTITY AND CONSUMER BEHAVIOUR
Transmedia storytelling can be defined as a particular method of storytelling where the narrator tells the same story in different mediums. Business organisations use the same method in order to market their products to their target consumers. This kind of marketing method has a deep impact on consumer behaviour and brand identity. This particular research work Asus positive research design primary data collection method in order to understand the impact of transmedia storytelling on the consumer behaviour and the brand identity. On the other hand, descriptive research design and deductive research, approach has been used by the researcher in order to analyse the gathered data. IBM SPSS as a research instrument has been implemented by the researcher in order to analyse and evaluate the data collected from the sample population. The research will focus on identifying the factors of transmedia storytelling that influence consumer behaviour and brand identity. The importance of that transmedia storytelling will be revealed through this particular study.
Copyright (c) 2026 YanHan Xiao https://creativecommons.org/licenses/by/4.0
EVALUATING REGIONAL AGRICULTURAL PRODUCT BRANDS: EVIDENCE FROM MAOMING LITCHI REGIONAL BRAND
Regional agricultural brands are a special type of brand. Due to their unique geographical attributes,stringent quality standards, and high market recognition, they can generate greater brand premiums for the corresponding agricultural products compared to non-branded and drive local economic development. As a result, regional agricultural brand strategies have become an important tool for many countries (and regions) to promote rural development. This study analyzes the connotation of regional agricultural brand value, examines the components and influencing factors of brand value, constructs a model for evaluating agricultural product brand value, and applies the model using the Maoming litchi regional brand as a case study, aiming to advance thedevelopment of regional agricultural brands through evaluation-driven improvement.
Copyright (c) 2026 XiaoPing Tan; HuaWan Zhong; LiXia Zhang; YingYing Shen https://creativecommons.org/licenses/by/4.0
THE PREDICTION OF METEOROLOGICAL AND PHENOLOGICAL TRENDS AND ROUTE DECISION-MAKING DURING THE QINGMING FESTIVAL BASED ON ARIMA AND RANDOM FOREST REGRESSION
Addressing the significant challenges in cultural tourism decision-making caused by unpredictable weather and uncertain flowering periods during the Qingming Festival, this study establishes a robust quantitative framework integrating meteorological forecasting, phenological prediction, and route optimization. Specifically, an ARIMA model is constructed to define “continuous drizzle” quantitatively and forecast precipitation probabilities for seven target cities. Concurrently, a Random Forest Regression model is introduced to accurately predict the onset and duration of flowering for cherry blossoms, peonies, and rapeseed flowers. Feature importance analysis reveals temperature as the dominant driver for cherry blossoms (weight 62.3%), with the model achieving a high goodness-of-fit of 0.91. Furthermore, a multi-objective planning model is developed using integer linear programming, generating an optimal closed-loop tour route connecting Wuhan, Xi’an, Luoyang, and Hangzhou. This route effectively balances flower-viewing experiences with rain-avoidance preferences while minimizing travel costs. The research innovates by establishing quantitative meteorological criteria and successfully transforming natural law predictions into personalized tourism decision-making strategies, providing valuable theoretical support and practical guidelines for smart cultural tourism in complex environments.
Copyright (c) 2026 YiHan Ma https://creativecommons.org/licenses/by/4.0
THE MEASUREMENT OF TRANSPORTATION NETWORK EFFICIENCY AND DIAGNOSIS OF STRUCTURAL DEFICIENCIES IN JILIN PROVINCE’S WINTER TOURISM
Addressing the current situation where the high-quality development of Jilin Province’s winter tourism industry is constrained by infrastructure bottlenecks, this study conducts a systematic assessment of network efficiency by constructing a transportation network model comprising 86 nodes and 327 routes. The findings reveal that the density of Jilin Province’s winter tourism transportation network is only 0.087, indicating weak overall connectivity that is significantly lower than that of neighboring strong provinces such as Heilongjiang. Node centrality analysis reveals severe polarization: core hubs such as Changchun Longjia International Airport and Jilin Station dominate in both degree centrality and betweenness centrality, while remote scenic areas such as Dunhua Laobai Mountain Snow Village have extremely low accessibility. Cluster analysis identified four highly isolated sub-regions, confirming the existence of pronounced regional fragmentation within the province. Further analysis revealed that insufficient network connectivity results in high transfer costs for remote scenic areas, with one-way travel times reaching 5 to 6 hours. Additionally, the overreliance on a single-mode transportation structure (roads and railways) exacerbates operational risks during extreme winter weather. The Matthew effect in node development causes high-quality resources to concentrate in urban centers, trapping remote scenic areas in a vicious cycle of poor transportation access, sparse visitor numbers, and delayed development. This study provides quantitative evidence and decision-making references for resolving the transportation challenges in Jilin Province’s winter tourism sector and promoting regional coordinated development.
Copyright (c) 2026 XiaoYi Shang https://creativecommons.org/licenses/by/4.0
SCIENCE AND TECHNOLOGY MANAGEMENT STRATEGIES TO PROMOTE HIGH-QUALITY DEVELOPMENT OF AGRICULTURAL RESEARCH INSTITUTES
This article analyzes the current policies, technologies and backgrounds of the science and technology management in agricultural research institutes. It points out the existing problems and proposes specific strategies in terms of improving the management system, optimizing resource allocation, enhancing incentive mechanisms, and strengthening strategic development research, for reference.
Copyright (c) 2026 WenTao Chen; Hua Yan https://creativecommons.org/licenses/by/4.0
SPATIAL DISTRIBUTION CHARACTERISTICS AND DIFFERENCE ANALYSIS OF URBAN SERVICE FACILITIES IN NORTH CHINA
This study conducts a comparative analysis of urban service facilities in Changchun and Hohhot by constructing a service density index, applying the coefficient of variation method, and utilizing the Spatial Lag Model (SLM). Results indicate that Changchun achieves a higher overall service level (CV=347.64) compared to Hohhot (CV=307.55), with significant disparities across seven domains, most notably transportation infrastructure. SLM regression reveals that Changchun exhibits stronger spatial integration and spillover effects while Hohhot demonstrates localized competition and fragmented service allocation patterns. Partial differential decomposition further confirms these divergent spatial dependency structures. This research establishes a replicable quantitative framework for cross-city comparative analysis, offering valuable theoretical support and evidence-based insights for optimizing urban resource allocation, informing differentiated planning strategies, and enhancing urban resilience in northern China.
Copyright (c) 2026 Qin Gong; YanQiang Yang; AnNa Li https://creativecommons.org/licenses/by/4.0
THE GAME MECHANISM OF UNIVERSITY BUDGET RESOURCE ALLOCATION FROM THE PERSPECTIVE OF INTERNAL CONTROL
Budget resource allocation is the core link of university financial management, which is directly related to the high-quality development of education and the efficiency of resource utilization in universities. Against the background of an increasingly improved internal control system, the budget resource allocation in universities involves multiple stakeholders such as university-level decision-makers, functional departments, and secondary colleges. The game behaviors of these stakeholders based on their own interest demands profoundly affect the fairness, scientificity and compliance of budget allocation. Based on the five elements of internal control (control environment, risk assessment, control activities, information and communication, internal supervision), this paper systematically analyzes the interest demands and behavioral characteristics of various game players in university budget resource allocation, constructs a multi-player game model (complete information static game, incomplete information dynamic game), clarifies the game equilibrium conditions through formula derivation, reveals the constraint and guiding role of internal control on game behaviors, identifies the internal control shortcomings existing in the current budget allocation game, and puts forward targeted optimization paths. It provides theoretical support and practical reference for universities to standardize budget resource allocation, resolve game conflicts and improve resource allocation efficiency.
Copyright (c) 2026 Jing Hu; WeiBin Zhao; Han Lin; JinHan Cai https://creativecommons.org/licenses/by/4.0
THE IMPACT OF CORPORATE ESG PERFORMANCE ON URBAN CARBON EMISSIONS
With the rapid advancement of urbanization in our country, cities, as the main places for human activities, have always been the focus of the government and all sectors of society for their sustainable and green development. ESG, as a framework for sustainable investment and enterprise management, aligns with China's new development concept of coordinating ecological civilization with economic growth. It helps enterprises enhance their green technological innovation capabilities, thereby promoting the carbon reduction and green transformation of cities. Based on the long-term panel data of A-share listed companies in China from 2011 to 2023, this article deeply explores how the ESG performance of enterprises contributes to urban carbon reduction and the underlying mechanism. The empirical research results show that the improvement of enterprises' ESG performance has a significant positive impact on urban carbon emissions, and this conclusion still holds after the robustness test, further verifying its reliability. The results of the mediating effect indicate that enterprises can significantly enhance the level of green technological innovation by improving ESG performance, thereby reducing urban carbon emissions. The research conclusion of this paper can not only provide an important theoretical basis for the sustainable development of enterprises, but also offer policy inspirations for promoting and building low-carbon and green cities nationwide.
Copyright (c) 2026 Jia Wei; QiChang Guo; ZhiYuan Li; Min Liu https://creativecommons.org/licenses/by/4.0
BEYOND HAIR LOSS: EXPLORING THE EVOLUTION OFANDROGENETIC ALOPECIA RESEARCH BASED ON TEXTMINING AND BIBLIOMETRICS
In this study, word dynamics, co-occurring phrases, and keyword frequency in the area of androgenetic alopecia were thoroughly analysed during a ten-year period. The study tracks changes in word usage, frequency, and context and identifies variations in the distribution and usage patterns of keywords, subjects, and co-occurring phrases using natural language processing techniques and graph theory-based approaches. The research reveals hidden linkages and patterns between diverse ideas, shedding light on the co-occurrence patterns of numerous phrases in the literature on androgenetic alopecia. The study emphasises the value of clearly visualising and disseminating findings to a large audience. In order to communicate the findings of the 10-year trend analysis to patrons, legislatures, and other pertinent audiences, data visualisation tools, infographics, and reports are used. This makes sure that the results are useful, effective, and easily accessible so that they can guide the creation of policies and decisions pertaining to androgenetic alopecia. The results of this study may have substantial ramifications for academics, medical professionals, policymakers, and other industry participants. The research can lead future research paths, prioritise research areas, and suggest areas that require additional examination by highlighting key research challenges and pointing out gaps in the study of androgenetic alopecia. Identifying emergent study issues, analysing the changing patterns in the area, and establishing research strategies can all benefit from an analysis of word dynamics and correlations among terms. The results reveal hidden relationships and patterns, advance knowledge of the research environment in this area, and influence androgenetic alopecia research objectives and policies.
Copyright (c) 2024 Sayan Roy; Hriddhiman Basu https://creativecommons.org/licenses/by/4.0
POTENTIAL INFLUENCE OF TALENT MANAGEMENT ANDTEACHER LEADERSHIP ON TALENT FLOW IN A SELECTEDHEI IN CHINA
The The study determined the potential influence of talent management and teacher leadership on talent flow in a university in China. In the process, the study assessed the three variables through a survey which involved 260 teachers. The result showed that there is a positive talent flow in the selected school in the past two years. It also showed that talent management in terms of attraction, development, and retention is evident. Moreover, the study revealed that teacher leadership in terms of perception, influencing, cooperation, knowledge and skills is also evident. Through a multiple regression analysis, the predictive power of talent management and teacher leadership on talent flow was determined. The statistical result showed that only attraction, a subscale of talent management predicted talent flow. Teacher leadership or any subscale of it did not predict talent flow. Further analysis between the indicators of attraction and talent flow showed that good school culture, and well-designed initiatives predict positive talent flow.
Copyright (c) 2023 LuXi Jiang; Rodil F. Fadri https://creativecommons.org/licenses/by/4.0
ARTIFICIAL INTELLIGENCE EMPOWERING NUCLEAR POWER EPC FULL-PROCESS COLLABORATIVE MANAGEMENT
As a typical ultra-large-scale, strongly coupled, and high-safety-level complex system engineering, nuclear power engineering involves multi-stage, multi-professional, and multi-stakeholder collaborative links throughout its full life cycle, including design, procurement, construction, commissioning, and operation and maintenance. Traditional management models generally face problems such as prominent information silos, inconsistent professional interfaces, high supply chain risks, lagging construction monitoring, and heavy pressure on quality and safety management, which are difficult to meet the requirements of current large-scale nuclear power construction and digital transformation. With the rapid development of artificial intelligence, big data, digital twin, BIM, and Internet of Things technologies, EPC full-process collaborative management driven by intelligent algorithms has gradually become an important development direction of nuclear power engineering management technology. This paper systematically analyzes the complexity characteristics of nuclear power engineering EPC, and constructs a full-process collaborative theoretical system of "data connection - scenario modeling - algorithm driving - platform support" from the dual perspectives of design institutes and owners. Focusing on intelligent design optimization, multi-professional collaboration, intelligent procurement management, construction progress identification and prediction, intelligent quality and safety monitoring, and operation and maintenance based on digital twins, a set of engineering implementable intelligent management schemes is proposed. Meanwhile, by constructing a cloud-edge-end integrated collaborative platform and MLOps model system, a technical architecture supporting full-life-cycle intelligent decision-making is formed. The verification results in typical nuclear power engineering projects show that artificial intelligence technology can increase design efficiency by more than 80%, reduce professional conflicts by more than 70%, lower procurement risks by 30%, decrease construction rework rate by more than 60%, and improve equipment availability to more than 98%, effectively supporting the quality improvement, cost reduction, and efficiency enhancement of nuclear power projects. The research results provide a systematic method and practical sample for the intelligent upgrading of nuclear power EPC, and have important theoretical significance and engineering value for promoting the digitalization and intelligent development of China's nuclear power industry.
Copyright (c) 2025 Chao Si; Yuan Zhang; YanKun Li https://creativecommons.org/licenses/by/4.0
EMPOWERING SMALL AND MICRO ENTERPRISES IN LIAONING THROUGH FINTECH
This paper examines the current state and challenges of innovation and entrepreneurship among small and medium-sized enterprises (SMEs) in Liaoning Province, exploring pathways for high-quality development through fintech-enabled mechanisms. Research indicates that while Liaoning's SMEs have improved innovation metrics, their national rankings have generally declined, revealing three structural challenges: a disconnect between innovation and capital, diminished investment appeal, and market entities exhibiting “false prosperity”. To address these issues, the study proposes leveraging fintech solutions such as establishing enterprise digital profiling platforms, promoting blockchain technology applications, and developing equity crowdfunding and big data-driven credit services. These measures aim to alleviate financing constraints, enhance information transparency, and facilitate resource integration, thereby providing actionable strategies for fostering innovation among SMEs and revitalizing the regional economy.
Copyright (c) 2025 YunWei Shen https://creativecommons.org/licenses/by/4.0
THE CONSTRUCTION PATH OF ENTERPRISE INTELLECTUAL PROPERTY COMPLIANCE MANAGEMENT SYSTEM
With the intensification of global economic integration and technological competition, intellectual property has become a key element of the core competitiveness of enterprises. At present, Chinese enterprises are in a critical period of transition from ' manufacturing power ' to ' innovation power '. Intellectual property is no longer just an asset, but also a ' passport ' and ' moat ' for enterprises to participate in domestic and foreign market competition. However, companies face increasingly complex intellectual property risks and compliance challenges. The purpose of this paper is to explore the macro background and reality of intellectual property compliance management of Chinese enterprises, systematically sort out the core problems faced by enterprises in the construction of compliance system, and put forward specific and feasible construction paths and coping strategies for these problems, so as to help enterprises realize the systematization, normalization and efficiency of intellectual property compliance management in a complex environment.
Copyright (c) 2025 Peng Du https://creativecommons.org/licenses/by/4.0
INTELLIGENT PERCEPTION AND VALUE GUIDANCE IN STUDENT IDEOLOGICAL DYNAMICS: DESIGNING AN AI-BASED CLOSED-LOOP INTERVENTION FRAMEWORK
With the rapid development of information technology, the application of Artificial Intelligence (AI) in education has become increasingly widespread, demonstrating immense potential particularly in the management of student ideological dynamics. Focused on the theme "From 'Data Monitoring' to 'Value Guidance': Intelligent Perception and Closed-Loop Intervention Pathways for Student Ideological Dynamics in the AI Era," this study explores how AI technology empowers the management of student ideological education. Research indicates that traditional ideological education models suffer from issues such as lag, passivity, and data fragmentation, leading to a core contradiction between educational goals and operational reality. This paper proposes that AI technology can effectively address these challenges and facilitate a paradigm shift in educational models. Through an in-depth analysis of the current status of student management and AI applications in education, this study constructs an intelligent perception system and designs a closed-loop intervention pathway. This framework includes a multimodal data collection mechanism, AI-driven data analysis models, a tiered early warning mechanism, and intelligent recommendation strategies for intervention. The research finds that sentiment tendency recognition based on Natural Language Processing (NLP) and group feature analysis using clustering algorithms significantly enhance the accuracy of sentiment identification and the effectiveness of group profiling. Empirical analysis demonstrates that the designed closed-loop intervention pathway offers significant advantages in early warning response efficiency and the effectiveness of ideological guidance. Furthermore, the paper discusses ethical norms regarding data collection, as well as algorithmic transparency and supervision mechanisms, to ensure the safety and fairness of technological application. The results show that AI technology not only realizes the paradigm shift from "monitoring" to "leading" but also provides an effective path for the reform of ideological and political education in colleges and universities. Overall, this paper expands educational technology theory and offers specific practical recommendations for reform, while also providing an outlook for future research directions. Despite certain limitations, this study serves as an important reference for the in-depth application of AI technology in the field of education.
Copyright (c) 2025 ZeYu Wang; JiaNan Wang; Ting Ye; Jun Ruan https://creativecommons.org/licenses/by/4.0
THE CONSTRUCTION AND IMPLEMENTATION PATH OF THE "INTEGRATION-CREATION-TOURISM-LEARNING" SCHOOL-ENTERPRISE CO-BUILT IMMERSIVE HOTEL SPACE PRACTICAL TEACHING MODEL
With the transformation of the tourism industry towards digitalization, scenario-based services, and immersive experiences, traditional tourism management education is confronted with challenges such as the disconnect between theory and practice, and the lag of talent training behind industrial demands. Taking the "Integration-Innovation-Tourism-Learning" immersive hotel space co-established by a Sino-Swiss cooperative education program at a higher vocational college in Shanghai and Shanghai Jinjiang Innovation Center as a case study, this paper systematically explores the goal orientation, content design, implementation paths, and expected effects of practical teaching bases co-built by universities and enterprises. By constructing a practical teaching system integrating the four chains of "education chain, industrial chain, talent chain, and innovation chain", this model aims to cultivate interdisciplinary tourism talents with an international perspective, digital operation capabilities, and high-end service literacy. The paper conducts a comprehensive analysis from aspects including the construction of real-scenario teaching bases, the integration of industrial innovation functions, the co-construction of teaching staff, and the modular design of practical content, aiming to provide replicable paths and paradigms for the integration of industry and education in tourism-related majors at higher vocational colleges.
Copyright (c) 2026 XinYi Huang https://creativecommons.org/licenses/by/4.0
HOW CORPORATE GOVERNANCE IN ESG CREATES SOCIAL VALUE
Since its inception, the concept of Environmental, Social, and Governance (ESG) has become a prominent topic of international discourse. In practice, however, there has been an overemphasis on environmental protection (E) and social responsibility (S) at the expense of corporate governance (G). Moreover, skepticism exists regarding the capacity of corporate governance to generate social value. This paper investigates the interrelationships among E, S, and G within the ESG framework, with a particular focus on the role of corporate governance and the mechanisms through which it creates social value. Our findings are twofold: (1) In accordance with Adam Smith's "invisible hand" theory, the societal benefits arising from a firm's pursuit of shareholder wealth maximization often exceed those generated by direct pursuits of social welfare maximization. Therefore, firms should prioritize the maximization of shareholder returns. The primary objective of corporate governance is to maximize shareholder value, encompassing key elements such as institutional frameworks, human capital, entrepreneurship, and risk management, which collectively form the bedrock for achieving this goal. As social interest and social value are considered equivalent, strong corporate governance that maximizes shareholder returns consequently generates greater social value. Furthermore, given that corporate governance within ESG should not be bifurcated into broad and narrow interpretations, it represents the most fundamental component of the ESG framework. Within ESG, social responsibility (S) encompasses environmental protection (E). (2) Corporate governance inherently creates social value. The transmission mechanism operates as follows: robust corporate governance maximizes shareholder returns, which in turn creates social value through channels such as innovation, taxation, and employment. Looking ahead, regulators, the public, and corporations should return to this foundational principle, concentrating on corporate governance and sustainable development.
Copyright (c) 2025 Ting Zhang; KaiHua Bao https://creativecommons.org/licenses/by/4.0
THE MECHANISM AND PATHWAYS OF INDUSTRIAL SYMBIOSIS NETWORKS EMPOWERING CIRCULAR SUPPLY CHAINS
The industrial symbiosis network drives the construction and upgrading of circular supply chains through resource collaboration and value reconstruction. This study systematically analyzes the intrinsic mechanisms by which industrial symbiosis empowers circular supply chains, including economic drivers, environmental momentum, risk resistance capabilities, and policy empowerment, thereby enriching the dynamic evolution theory of industrial symbiosis. It also interprets the challenges and contradictions encountered during the process of establishing industrial symbiosis networks and circular supply chains through real-world case studies. Based on the promotion of industrial symbiosis networks for the transformation and upgrading of circular supply chains, it proposes feasible pathways for achieving sustainable economic development.
Copyright (c) 2025 LingYan Sun https://creativecommons.org/licenses/by/4.0
BIG DATA IN FINANCIAL SERVICES: A SURVEY OF APPLICATIONS AND VALUE CREATION
Big data technology is profoundly transforming the business models and value creation methods of financial services. This paper employs a systematic literature review methodology to investigate the applications and value mechanisms of big data across key financial domains. The study identifies four primary value creation pathways: First, in credit scoring and risk management, integration of alternative data sources enhances model accuracy and extends financial access to underserved populations. Second, in fraud detection, machine learning-based real-time analytics reduce false positive rates by approximately 30% while improving detection precision. Third, personalized services enabled by multi-dimensional customer profiling generate revenue increases of 10-15% for institutions implementing data-driven strategies. Fourth, process automation and real-time decision support enhance operational efficiency, reducing costs and improving service quality. This research demonstrates that big data has become a strategic asset for financial institutions, while acknowledging ongoing challenges in data governance, model interpretability, and regulatory compliance.
Copyright (c) 2025 RongHua Li; HongFan Li https://creativecommons.org/licenses/by/4.0
THE IMPACT OF PUBLIC SERVICE MOTIVATION ON THE INNOVATION PERFORMANCE OF MEDICAL PERSONNEL
As the backbone of the healthcare service system, the high-quality development of public hospitals is central to advancing the Healthy China initiative, with “innovation-driven development” serving as its core engine. Using a sample of 456 medical personnel questionnaires from Henan Province, this study empirically examines the mechanism and boundary conditions through which public service motivation influences innovation performance among medical staff, grounded in the resource conservation theory perspective. Findings reveal that medical personnel's public service motivation significantly enhances their innovation performance, with organizational change serving as a fully mediating resource-building strategy in this process. Employee resilience, however, functions as a “resource array conduit,” positively moderating the mediating effect of organizational change. Specifically, in contexts of high employee resilience, the mediating effect of public service motivation on innovation performance through organizational change is significantly enhanced, whereas this mediating effect is insignificant in contexts of low employee resilience. This study expands and deepens the existing literature on healthcare workers' public service motivation and innovation performance. It provides insights for applying resource conservation theory in healthcare settings and offers valuable reference for advancing high-quality development in public hospitals under the new era context.
Copyright (c) 2025 YuWen Huang; YaNing Wang; GenQiang Li https://creativecommons.org/licenses/by/4.0
THE CONSTRUCTION AND EVOLUTION OF RURAL MUTUAL AID ELDERLY CARE MODELS FROM A VALUE CO-CREATION PERSPECTIVE
Against the backdrop of accelerating population aging and insufficient elderly care services in rural China, this paper explores how mutual aid models can address these challenges. Taking the "Time Bank" initiative implemented in Wuling Village, Xinxiang City, Henan Province as a case study, the research analyzes how diverse stakeholders—including the elderly, village committees, government agencies, and external organizations—collaborate and integrate resources to establish a sustainable mutual aid system for elderly care, focusing on the perspective of "value co-creation." The study indicates that Wuling Village's "Time Bank" integrates labor mutual aid with elderly care security by converting seniors' spare time into storable, exchangeable "service credits." This model not only activates internal social resources within the village but also gradually expands into deeper collaborations such as capacity training and resource linkage. However, its development faces challenges including insufficient trust, excessive resource dependency, and limited service capacity. Based on these findings, this paper proposes improvements in strengthening institutional trust, broadening resource channels, enhancing service capabilities, and optimizing participation mechanisms to ensure the long-term stability of mutual-aid elderly care models. Wuling Village's experience demonstrates that stimulating endogenous rural momentum and promoting multi-stakeholder collaboration are effective pathways for innovating rural elderly care service systems.
Copyright (c) 2025 YaNing Wang; YuWen Huang; Ran Wang https://creativecommons.org/licenses/by/4.0
IMPLEMENTATION OF TRUELICENSE, AN OPEN-SOURCE CERTIFICATE MANAGEMENT ENGINE
This article addresses the shortcomings of the open-source certificate management engine TrueLicense in terms of security, flexibility, and usability. A new license management system based on RSA asymmetric encryption and hardware binding is proposed, with a focus on strengthening three aspects: preventing time callback attacks through encrypted time anchors, transferring core verification logic to C++to resist JAVA decompilation risks, and implementing code obfuscation to protect software intellectual property. The system significantly improves authorization security through multiple security verification mechanisms, while adopting a non-invasive integrated design to lower the threshold for developers to use. This system can effectively defend against time callback attacks and license forgery, support distributed deployment in high concurrency scenarios, and provide an automated integration solution based on Maven. This article elaborates on the implementation principles, architecture design, and operational processes of the system, providing a reliable solution for enterprise level software authorization management.
Copyright (c) 2025 ZheKai Huang https://creativecommons.org/licenses/by/4.0
A COORDINATED FRAMEWORK FOR REAL ESTATE LIFECYCLE MANAGEMENT USING PARCEL-BASED DATA LINKAGE
This article explores the issues existing in traditional real estate management, such as information silos, repeated material submissions, difficulties in data sharing, and insufficient inter-departmental coordination. It studies the "one-code linkage" governance model in the full life-cycle management of real estate and summarizes the typical local "one-code linkage" practice models. Taking the "one-code land management" reform in Huainan City as a case study, the paper systematically outlines its implementation path from "source coding" to "full-process linkage." Through the "one-code" system, it standardizes, shares, and traces data across the entire life cycle, improving government governance effectiveness. The paper also identifies challenges in data quality, technical support, and inter-departmental coordination efficiency, and proposes targeted strategies, such as strengthening institutional collaboration, accelerating technological upgrades, and enhancing public awareness. This study promotes the digital transformation of three-dimensional real estate and provides theoretical support for constructing full life-cycle governance.
Copyright (c) 2025 Ji Jiang https://creativecommons.org/licenses/by/4.0
MULTI-SCALE SPATIAL OPTIMIZATION RESEARCH ON SMART SERVICE MODELS FOR MASS FITNESS IN RURAL SHAANXI UNDER THE BACKGROUND OF RURAL REVITALIZATION: A PRELIMINARY STUDY
As the rural revitalization and mass fitness national strategies become more deeply integrated, mass fitness services in rural Shaanxi face real challenges such as uneven resource distribution and low levels of smart technology adoption. This study focuses on spatial issues in the smart transformation of rural mass fitness services in Shaanxi. By combining rural revitalization theory, mass fitness theory, smart service theory, and spatial optimization theory, and using methods including literature review, case study, and spatial study, we systematically examine the current situation and multi-scale spatial problems of smart mass fitness services in rural areas across Shaanxi's three major regions: Guanzhong, Northern Shaanxi, and Southern Shaanxi. The research shows that: at the macro level, there is large imbalance in resource distribution, especially smart facilities, between regions and between urban and rural areas; at the meso level, service network coverage at the county and township levels is incomplete with blind spots; at the micro level, village-level facility layouts are poor and smart function use rates are low. In response, we propose multi-scale spatial optimization pathways: at the provincial level, strengthen overall planning, balanced resource distribution, and platform buildion; at the county and township level, build a two-tier smart fitness circle of "township centers - central villages" and improve spatial layout; at the village level, promote demand-oriented precise supply and create practical scenarios; and stress cross-scale cooperation systems. Finally, the study proposes execution strategies including technology enablement, multi-stakeholder working together, content new idea, and talent support, as well as systematic guarantees including policy regulations, funding investment, and operational systems. The aim is to provide theoretical reference and practical guidance for improving the effectiveness of smart mass fitness services in rural Shaanxi and similar regions nationwide.
Copyright (c) 2025 HaiYu Li; Dan Li; MoFei Chi https://creativecommons.org/licenses/by/4.0
INNOVATIVE REFORM PATHS OF FINANCIAL ACCOUNTING COURSE FROM THE PERSPECTIVE OF CURRICULUM IDEOLOGICAL AND POLITICAL EDUCATION
As a core course for accounting majors, Financial Accounting bears the dual responsibility of imparting professional knowledge (focusing on the accounting of five major elements: assets, liabilities, owner's equity, income, and expenses) and shaping professional ethics. From the perspective of curriculum ideological and political education (CIPE), the traditional teaching model of this course faces the problem of "disconnection between professional knowledge and value guidance". This paper proposes four innovative reform paths: content reconstruction, model innovation, evaluation optimization, and guarantee strengthening. By integrating ideological and political elements into accounting practice scenarios, building an "AI+BOPPPS" closed-loop teaching model, and establishing a dual-dimensional evaluation system of "professional competence + ideological literacy", it aims to construct an educational system of "taking accounts as the foundation and integrity as the soul", and cultivate accounting talents who meet the requirements of the market economy and have a sense of social responsibility.
Curriculum ideological and political education
Copyright (c) 2025 YuHan Xiao https://creativecommons.org/licenses/by/4.0
OPTIMIZING X COMPANY’S COMPENSATION MANAGEMENT SYSTEM
In the knowledge economy era, intensifying global competition has made high-caliber talent a critical factor in corporate core competitiveness. This study examines X Company—an education and training provider—to identify issues within its compensation management system and propose optimization pathways. As a comprehensive educational institution integrating postgraduate exam preparation, online education, and book publishing, X Company faces challenges including talent attrition, high costs, and increased operational pressure due to the COVID-19 pandemic and the “Double Reduction” policy. Its compensation management suffers from issues such as disconnect between compensation policies and corporate strategy, lack of position-specific compensation standards, structural imbalances, unscientific performance evaluations, limited benefits, and insufficient non-monetary compensation.This study systematically analyzes X Company's current compensation management practices by integrating foundational theories such as Equity Theory, Two-Factor Theory, and Human Capital Theory. It employs multiple research methods including literature review, case analysis, questionnaire surveys, and interviews. Based on this analysis, targeted optimization proposals are presented. These include aligning position-based compensation standards with corporate strategy, optimizing compensation structures, refining performance evaluation and benefit systems, and strengthening non-monetary compensation development. Implementation safeguards encompass conceptual innovation, feedback mechanisms, oversight systems, and communication channels. This research aims to enhance X Company's compensation management effectiveness, maximize cost-benefit ratios, strengthen talent attraction and retention, improve employee satisfaction, and elevate the company's overall competitiveness. It also provides reference for compensation management optimization in the education and training industry and other small and medium-sized enterprises.
Copyright (c) 2025 XinYang Xu https://creativecommons.org/licenses/by/4.0
THE EVOLUTION OF GREEN DEVELOPMENT POLICY CHARACTERISTICS IN BEIJING-TIANJIN-HEBEI REGION
The green development policies in the Beijing-Tianjin-Hebei region are crucial for promoting coordinated ecological progress. Since the launch of the green development initiative, China's central and local governments have issued over 230 policy documents covering the period from 2006 to 2024. This study employs Latent Dirichlet Allocation (LDA) modeling to analyze these policy texts, revealing rich thematic content with emerging trends like "construction" and "technology". By mapping the evolutionary patterns of these policies, the research provides actionable insights for future policy directions and offers a foundation for refining existing frameworks.
Copyright (c) 2025 TongTong Sun; XinWei Hong; JianHui Liu; HongLian Liu; MengYu Liu; Hao Pan https://creativecommons.org/licenses/by/4.0
THE INFLUENCE MECHANISM OF INCLUSIVE LEADERSHIP ON MEDICAL STAFF’S PROACTIVE CHANGE BEHAVIOR IN PUBLIC HOSPITALS——THE MEDIATING ROLE OF LEADER-MEMBER EXCHANGE
Objective: To explore the influence mechanism of inclusive leadership on the active change behavior of medical staff in public hospitals, to provide reference for hospitals to promote the active change of medical staff, and to open up new ideas for hospital management. Methods: A total of 420 medical workers from 5 public hospitals in Henan Province were selected by convenience sampling method. The inclusive leadership scale, leader-member exchange scale and active change behavior scale were used. Results: Inclusive leadership has a significant positive impact on medical staff 's proactive change behavior. Leader-member exchange relationship plays an intermediary role between inclusive leadership and medical staff 's proactive change behavior. Perceived insider status can not only positively regulate the relationship between inclusive leadership and leader-member exchange, but also strengthen the intermediary role of leader-member exchange between inclusive leadership and medical staff 's proactive change behavior. Conclusion: This study enriches the research of inclusive leadership in the field of hospital organization, and has certain enlightenment and practical significance for hospital managers to improve medical staff 's proactive change behavior.
Copyright (c) 2025 Peng Zhao; GenQiang Li https://creativecommons.org/licenses/by/4.0
ESTABLISH A TEACHING REFORM FOR THE PRACTICAL ENGINEERING MANAGEMENT MAJOR
With the rapid development of the engineering industry, the traditional model of engineering management education is facing the dilemma of being disconnected from practice. In order to cultivate engineering management talents with innovative spirit, practical operation ability and good project management literacy, this paper analyzes the current situation of engineering management education and explores the necessity of establishing a practice-oriented engineering management major and the path of teaching reform. The study points out that curriculum system reform, deepening of school-enterprise cooperation, strengthening of practical teaching links and construction of the teaching staff are the key factors for implementing the reform. Based on the analysis of successful cases at home and abroad, specific reform measures are proposed and prospects for the future development of engineering management education are presented.
Copyright (c) 2025 YiMin Jin; HanYang Li; DongYang Geng; XiaoYan Huo; MengTong Liu; SongLin Zhu; HeLong Yao; Lun Liu; JianMing Guo https://creativecommons.org/licenses/by/4.0