Frontiers in Business, Economics and Management
Frontiers in Business, Economics and Management (FBEM) is a monthly, peer-reviewed journal published by Darcy & Roy Press. The mission of the journal is to provide an academic forum for discussing the issues of international business, economics and management across the world. All articles published are rigorously and fast reviewed meeting the Journal Quality standards.
Research on Corporate Sustainability from an ESG Perspective
With the introduction of the dual carbon goal, companies need to focus not only on financial performance but also on non-financial performance in order to achieve sustainable development in a highly competitive market, and more and more companies are focusing on ESG (Environmental, Social and Corporate Governance) issues. Companies must make full use of ESG ratings, disclosure, investment and other related tools to enhance corporate value in order to achieve sustainable development. From an ESG perspective, this paper analyses corporate sustainability strategies in the context of objectives such as green and dual carbon, and makes suggestions on how to encourage companies to practise ESG.
ESG, Sustainable Development, Corporate Value.
Copyright (c) 2023 https://creativecommons.org/licenses/by/4.0
Research on the Marketing Strategy of Bytedance Companies in The Internet Industry
This paper aims to investigate the development mode of Internet enterprise service platforms and analyze the marketing strategies that affect their implementation. The research method involves theoretical and empirical analyses, drawing on the theoretical achievements and practical experiences of internet enterprises. Specifically, the paper focuses on ByteDance, a young and successful internet unicorn company that has created several popular products such as Toutiao and TikTok. It analyzes the company's business philosophy and purpose, product profile, SMB commercial marketing strategy, and the problems existing in its marketing strategies. The paper recommends that enterprises should strengthen their technology construction, create a flat management mode, improve their corporate social responsibility, and enhance their corporate culture concept. These recommendations are essential for the survival and growth of companies in the highly competitive internet industry. The paper concludes that in the context of "Internet +", the scale effect of the network economy is significant and the internet marketing market is rapidly developing, providing an excellent opportunity for companies to interact, cooperate, and integrate resources to achieve their goals.
Internet , Internet enterprise, Marketing strategy, Bytedance, Network platform.
Research on Employment-Oriented Teaching Reform of Logistics management Specialty
With the transformation of the logistics industry towards digitalization and intelligentization, enterprises’ demand for logistics talents has shifted from "basic operational talents" to "interdisciplinary and practical talents". However, the contradiction between the employment difficulty of logistics management graduates and the labor shortage of enterprises is prominent. This paper focuses on the employment predicament of logistics management specialty, analyzes the necessity of conducting employment-oriented teaching reform, and puts forward optimization strategies from three dimensions: curriculum objectives, curriculum content and practical teaching. It aims to realize the accurate connection between teaching and industry needs, enhance students’ workplace competitiveness, and provide reference for the educational innovation of logistics management specialty.
Copyright (c) 2025 https://creativecommons.org/licenses/by-nc/4.0
Analysis of the Mechanisms of Digital Countryside Enabling High-Quality Development of Rural Economy
With the rapid development of information technology, the promotion of digital rural construction in the digital era is conducive to the high-quality development of the rural economy. In contemporary times, the digital countryside strategy has become an important initiative for China's high-quality development and the realization of high-quality development of rural revitalization. Based on the balanced panel data of western China from 2013 to 2022, this paper constructs a comprehensive indicator system containing digital infrastructure construction, economic digitization, governance digitization and life digitization, measures the level of digital countryside development of each province in the western region using the entropy method, and empirically analyzes its impact on the total output value of agriculture, forestry, animal husbandry and fishery using the fixed effect model. The results of the study show that the level of digital village development has a significant positive promotion effect on the total output value of agriculture, forestry, animal husbandry and fishery, and there are differences between different provinces. Specifically, the construction of digital villages effectively enhances the development level of rural economy by improving the efficiency of agricultural production, optimizing industrial structure, enhancing market competitiveness. Further robustness tests use gross domestic product (GDP) as a proxy indicator and the TOPSIS method to reassess the level of digital rural development, and the results all indicate that the conclusion has a high degree of reliability. Based on this, this paper proposes policy recommendations to strengthen the construction of digital infrastructure, enhance farmers' digital literacy, promote the deep integration of digital technology and rural industry, improve the policy support system, and strengthen the regional synergistic development in order to optimize the construction of digital villages, better empower the development of rural economy in the western region, and promote the in-depth implementation of the strategy for revitalization of the countryside.
The Impact of Board Composition of Listed Companies on Corporate Performance
As a core component of the corporate governance structure, the board of directors is crucial to whether a company can make correct decisions, achieve effective risk management, and create value in a complex and ever-changing market environment. This paper takes A-share listed companies from 2012 to 2022 as research samples and conducts an empirical analysis on board composition. It is found that the diversification of the characteristics of board composition in listed companies is conducive to improving corporate performance, among which the diversification of age groups and financial backgrounds of the board have the most significant positive impact on corporate performance. The research findings of this paper provide theoretical and empirical evidence for optimizing board composition and enhancing the performance of listed companies.
Symbolic Capital and Institutional Escort: A Governance Path Study on Breaking the 'Culture-Industry' Synergy Dilemma in Qiaoxiang
Qiaoxiang (hometowns of overseas Chinese) in China, represented by Teochew (Chaozhou), possess rich cultural resources such as intangible cultural heritage, architectural complexes, and humanistic spirits. However, in the process of modernization, they universally face a structural dilemma of poor "culture-industry" synergy. Cultural resources habitually stagnate in "static display" and "superficial embellishment," failing to be transformed into modern industrial advantages with "hematopoietic" functions. Based on cultural economics and new institutional economics, this paper proposes that the core to breaking this dilemma lies in achieving a dual governance transformation. First is to promote the dynamic transformation of cultural resources into "symbolic capital," i.e., activating dormant cultural elements into tradable, operable, and value-adding cultural IPs through "curatorial" incubation, digital reconfiguration, and "asset-light" operation. Second is to build a modern governance paradigm that replaces "relational governance" with "institutional escort," i.e., providing a cornerstone of trust and security for the market-oriented operation of "symbolic capital" through rigid intellectual property protection, a predictable business environment, and precise cross-border services. This paper argues that only by building a new dual-driven ecosystem of "symbolic capital" activation and "institutional escort" protection can the "culture-industry" synergy dilemma in Qiaoxiang be truly broken, achieving a level leap from a "homeland of memory" to a "highland of innovation."
Research on Valuation of Data Assets Based on the Excess Earnings Method
In the Digital Economy Era, data assets, as strategic resources for enterprises, play a vital role in their daily operations and long-term growth, and represent a key achievement of enterprises' digital transformation. Valuing data assets not only provides an intuitive reflection of the outcomes of enterprises' digital development but also advances the theory of data asset valuation. First, based on existing literature, this paper briefly summarizes and analyzes the concept and characteristics of data assets. Second, considering the unique attributes of data assets and integrating them with enterprises' digital transformation practices, it leverages valuation methods for intangible assets to construct an appropriate excess earnings valuation model. Finally, through a case study of Shede Spirits—by forecasting and analyzing its future free cash flows and the contribution values of various assets—this paper isolates the contribution income generated by data assets and estimates their value using the excess earnings valuation model.
The Impact of Employee Loyalty on Firm Performance in Chinese Engineering Cost Consulting Companies
This study takes China engineering cost consulting enterprises as the analysis object, collects and analyzes 352 valid cases of engineering cost consulting enterprises, evaluates the current status of employee loyalty and firm performance in the engineering cost consulting field, explores the role relationship and influence path of employee loyalty on firm performance, and proposes that attention should be paid to improving firm performance through the cultivation of employee loyalty. The research results show that the positive correlation between employee loyalty and firm performance is still applicable in the field of engineering cost consulting enterprises. In terms of influence paths, employee loyalty has a positive promoting effect on firm performance. Meanwhile, there is still considerable room for improvement in the relationship between employee loyalty and firm performance in engineering cost consulting enterprises. These findings reveal the mechanism of employee loyalty's impact on firm performance in engineering cost consulting enterprises, broaden the industry field of research on the relationship between employee loyalty and firm performance, and provide data references for personnel management and performance improvement in knowledge-based enterprises.
Research Progress and Hotspots Analysis of Digital Transformation in Manufacturing Enterprises Based on Citespace
In recent years, corporate digital transformation has garnered significant attention. To clarify the core research forces in this field, this study utilizes 524 data asset-related publications indexed in the Web of Science (WOS) database from 2009 to 2025. Employing bibliometric analysis and CiteSpace visualization software, it examines the developmental trajectory, hot topics, and evolving trends in manufacturing enterprise digital transformation research across multiple dimensions. These include publication volume, institutional collaboration networks, author and keyword co-occurrence patterns, keyword clustering, and keyword emergence. Findings reveal that research intensity surged rapidly starting in 2016, entering a phase of adjustment after 2023. However, collaboration among authors, institutions, and disciplines remains low, with the academic network exhibiting “multicentricity and weak connectivity.” Evolutionary trends indicate current developments toward the convergence of “digitalization + intelligentization + green transformation,” refinement of transformation pathways for SMEs, and precise evaluation of transformation outcomes. Finally, based on the identified limitations in existing research, corresponding policy recommendations are proposed to provide a clear reference framework for future academic exploration and industrial practice.
Analysis of the Comprehensive Economic Strength of Cities in Sichuan Province Based on Principal Component Analysis
This paper evaluates the comprehensive economic strength of 18 cities in Sichuan Province based on principal component analysis. By selecting 10 economic indicators such as gross regional product, total investment in fixed assets, financial general budget revenue, total merchandise export, gross product of each industry, gross product per capital, disposable income of urban residents and resident population, principal component analysis is carried out by using SPSS software. The results show that Chengdu City is clearly ahead of other cities in terms of comprehensive economic strength, with its economic total, structure and efficiency outstanding, showing a very strong economic agglomeration and radiation capacity. Yibin City and Mianyang City also show strong comprehensive economic strength. The findings of this paper provide a scientific basis for the formulation of economic development policies for the cities in Sichuan Province, aiming to promote the coordinated and high-quality development of the regional economy.
A study of the Impact of Digital Capability on Business Model Adaptation: The Mediating Role of Strategic Orientation and the Moderating Role of Organizational Inertia
Against the backdrop of the booming digital economy, this study explores the impact mechanism of digital capabilities on business model adaptation based on the dynamic capability theory. Using SPSS 27.0 and Amos 24.0 software, we analyzed 463 questionnaire responses from companies in the manufacturing, electronic information, and retail industries. This study found that digital sensing capability, digital seizing capability, and digital transforming capability all have a positive impact on business model adaptation; strategic orientation plays a positive mediating role in the relationship between digital capabilities and business model adaptation; organizational inertia plays a negative moderating role in the relationship between digital capability and business model adaptation. The research results expand the relevant studies on the impact mechanism of digital capabilities on business model adaptation, enrich the application scenarios of dynamic capability theory, and provide important practical insights on how enterprises can leverage digital capabilities to promote business model adaptation, build competitive advantages, and foster value creation.
A Study on the Impact of Accounting Information Disclosure on Investors' Decision-Making
This paper takes the interactive relationship between accounting information disclosure and investors' decision-making as the core research object. It integrates agency theory, signal transmission theory, and information asymmetry theory to construct an analytical framework, and analyzes the impact path from three dimensions: information acquisition, judgment and prediction, and decision-making behavior. Combined with capital market practices, it identifies prominent problems in the current disclosure system, such as insufficient institutional adaptability, weak supervision, and inadequate investor interpretation capabilities. Finally, it puts forward optimization suggestions from the perspectives of institutional improvement, supervision strengthening, and investor empowerment, providing support for protecting investors' rights and interests and improving capital market efficiency.
Research on Corporate Overseas Asset Allocation under the Contagion of Geopolitical Risks
Based on the country-specific distribution data of overseas assets of 586 A-share listed companies in China from 2018 to 2023, this paper constructs an overseas asset diversification index (HHI) and uses a two-way fixed effects model and event study method to systematically explore the dynamic impact of geopolitical risks on corporate overseas asset allocation. The study found that: (1) For every standard deviation increase in the GPR index, the overseas asset diversification of enterprises decreased significantly by 0.009, indicating that enterprises hedged geopolitical risks through a "multi-regional diversification" strategy; (2) Taking the Russia-Ukraine conflict in 2022 as an exogenous event, the average cumulative abnormal return of sample companies within the event window of −5 to +20 was positive; (3) Enterprises with high-risk exposure adjusted their assets significantly more than those with low-risk exposure when geopolitical risks increased. This paper aims to provide a micro-level decision-making basis for corporate overseas asset allocation, and at the same time provide a systematic reference for enterprises to optimize their global layout and for governments to improve their cross-border risk management system.
A Dynamic AI Framework for Monitoring and Forecasting Media Convergence Competitiveness
In response to the limitations of traditional static and subjective methods, this study pioneers an AI-driven framework for assessing media convergence competitiveness by leveraging natural language processing and machine learning. Analyzing a large-scale dataset of YouTube comments from January to June 2024, the research employs sentiment classification models—including Support Vector Machine, Random Forest, and Gradient Boosting—with Gradient Boosting demonstrating superior performance. The findings reveal that the proposed framework not only outperforms conventional approaches in accuracy and consistency but also captures nuanced public sentiments and their temporal dynamics, uncovering a dual pattern of instant emotional reactions and reflective long-term evaluations. This provides policymakers and media practitioners with a scalable, data-driven tool for real-time assessment and evidence-based strategy formulation. Ultimately, the study underscores the transformative potential of integrating computational social science with media studies, significantly enhancing the precision and predictive power of competitiveness evaluation beyond qualitative paradigms.
Optimal Design of Decision Problem in The Production Process
Based on the production decision problem of the "Higher Education Society Cup" national College students Mathematical Contest in Modeling, this paper presents an optimization scheme to solve the sampling detection and production decision of two kinds of spare parts in the production process of enterprises. By establishing the production decision model and cost optimization model, the binomial distribution model is used to test the hypothesis, and the relationship between the minimum sampling quantity and the real defective rate is determined, which improves the detection efficiency and reduces the cost. A production decision model with binary code is constructed, which considers many cost factors, optimizes the model by decision tree and dynamic programming, and obtains the optimal strategy and net profit expectation. The whole calculation strategy of multi-process and multi-parts is proposed. The model is further optimized by simulated annealing and genetic algorithm, and the maximum profit of a single finished product is obtained. By integrating all models, a cost optimization model based on sampling inspection defective rate is proposed, which takes the posterior distribution of defective rate as the key basis to provide a more accurate decision analysis and optimization path for enterprises.
The Development Status, Issues, and Countermeasures of Home-Based Elderly Care Services: A Case Study of Anhui Province
With the acceleration of population aging, home-based elderly care has become the foundation of China's elderly care service system. As a province with a high aging rate and uneven development, Anhui's home-based elderly care service institutions are highly representative. Based on reviewing relevant theories and literature, this study explores the current development of home-based elderly care service institutions in Anhui through case analysis and policy text analysis. It delves into the practical challenges they face, such as mismatched supply and demand of services, a shortage of professional talent, and weak sustainable operational capacity. Accordingly, targeted optimization pathways and countermeasures are proposed to provide theoretical references and practical insights for improving regional home-based elderly care service systems.
Assessing the Transportation Accessibility and Administrative Service Areas in Côte d'Ivoire Using ArcGIS
This study investigates the accessibility of the land transport network in Côte d'Ivoire using ArcGIS software to analyze accessibility across various spatial scales. The findings reveal that the accessibility to most regions in the country is generally favorable, with the majority of areas reachable within 3 hours of travel time. The spatial distribution of accessibility follows a core-periphery pattern, where accessibility time increases as one moves further from administrative centers. Interestingly, higher-level administrative centers tend to have poorer accessibility, primarily due to their fewer numbers and more dispersed locations. The overall accessibility time for various administrative divisions typically remains within 2 hours. When compared to the original administrative boundaries, the variation in the service area based on transportation accessibility typically does not exceed 60%. The analysis also indicates that regions with stronger economic development, denser road networks, and smaller administrative units tend to have larger service areas. This research offers valuable insights into the planning of Côte d'Ivoire’s transport network, providing recommendations for improving regional connectivity and enhancing the efficiency of administrative operations through better transport accessibility.
Research on the Measurement of New Productivity Levels and Regional Differences among Provinces in China
This paper constructs a theoretical framework for new-quality productive forces. It first explores their essential characteristics from the dimensions of labor, production factors, and technological innovation. Then, using statistical methods such as the entropy method and the Dagum Gini coefficient method, it conducts a quantitative assessment of the level of new-quality productive forces in 30 provinces in China from 2012 to 2022. The study finds that the overall level of new-quality productive forces in provinces across the country has achieved significant growth, but there are significant regional differences, with the eastern region having the highest level and the western region the lowest. Furthermore, there is no convergence in development within the four major regions, and inter-regional differences continue to expand. Based on this conclusion, this paper proposes suggestions such as precisely focusing on regional differences in policy formulation, strengthening regional coordinated development, promoting sustainable development in various regions, and establishing a dynamic monitoring mechanism. The aim is to provide theoretical basis and policy reference for high-quality economic development in China.
Research on the Design Strategy of Jiangxi Red Cultural and Creative Products
Red cultural and creative products occupy a very important position in the cultural and creative industry. With the continuous enhancement of market competition, the status of red cultural and creative products remains high. Red culture can profoundly embody the spirit of the Red Revolution in its actual development process, and developing red cultural and creative products is to promote the spirit of the Red Revolution. In recent years, the Party and the state have continuously increased their emphasis on "red" cultural and creative products, and proposed a series of measures to promote and protect "red" cultural and creative products in the actual development process, aiming to enable the new generation of youth to experience, inherit, and promote red culture.
Research on the Integrated Development of Wenzhou's Culture, Sports, Tourism, Leisure, and Health Care Industries
Driven by the rising quality of life and growing health awareness among residents, the cross-border integration of culture, sports, tourism, leisure, and health care industries has become a new engine for regional economic development. Wenzhou, with its profound cultural heritage, diverse tourism resources, distinctive sports foundations, and excellent ecological environment, possesses inherent advantages in developing integrated industries combining culture, sports, tourism, leisure, and health care. Through field research and case analysis, this paper systematically examines the current state of industrial integration in Wenzhou, identifies bottlenecks in resource integration, infrastructure construction, and talent reserves, and proposes targeted breakthrough strategies based on domestic and international experiences. The findings aim to provide practical references for Wenzhou in building a distinctive integrated industrial system. This research contributes to the theoretical framework of industrial convergence while offering implementable solutions for regional development planners and industry stakeholders.
The Message Passing Mechanism of Graph Neural Networks and Its Potential for Processing Structured Data
Graph neural networks (GNNs) achieve deep representation learning of graph-structured data through a message passing mechanism, becoming a core technical paradigm for processing structured data. This paper systematically analyzes the architectural principles of the message passing mechanism, illustrating its three-step core process of "message generation-aggregation-update" and its mathematical implementation. The paper focuses on comparing the mechanism with typical models such as GCN and GAT. Drawing on empirical examples from fields such as bioinformatics, financial risk control, and retail supply chain, the paper reveals the unique advantages of this mechanism in capturing entity associations and discovering hidden patterns. In protein function prediction, the message passing-based DeepFRI model achieves accurate mapping between structure and function; in financial fraud detection, aggregating multi-hop transaction information significantly improves the ability to identify hidden criminal networks. The paper also analyzes current challenges such as oversmoothing and large-scale graph adaptation, proposing solutions such as residual connection optimization and neighbor sampling. This research demonstrates that the message passing mechanism provides a modeling approach that captures the relational nature of structured data, demonstrating strong potential for application in complex, cross-domain problems. Future applications will be further overcome by combining self-supervised learning with large-scale model technologies.
Trend Forecasting and Marketing Transformation in Fashion Design under the New Paradigm of Livestreaming E-commerce
As livestreaming e-commerce enters a new paradigm centered on content logic, two-way co-creation, and human-machine collaboration, the design logic and marketing models of the apparel industry are undergoing profound changes. This article focuses on the impact of the new characteristics of livestreaming e-commerce on apparel design and marketing, analyzing the core manifestations of the new paradigm: the shift from shelf logic to content logic, the upgrade from one-way communication to two-way co-creation, and the collaboration between livestreamers and digital avatars. It explores the trend forecasting path through real-time interaction driving design element iteration, scenario-based presentations fostering functional innovation, and data accumulation supporting style prediction. It also proposes marketing transformation solutions, including the "designer + livestreamer" communication chain, the "limited-time customization + livestream pre-sale" model, and the "fan stratification + targeted reach" strategy. The study concludes that livestreaming e-commerce has become a core link connecting consumer demand and the apparel industry. Companies must deeply integrate design and marketing to adapt to market competition under the new paradigm, providing insights for the sustainable development of the apparel industry.
Exploring Innovative Paths for Rural Finance Driven by Digital Technology: Based on The Practice and Reflection of MyBank
MYbank, officially established on June 25, 2015, is one of the first private banks in China approved by the China Banking Regulatory Commission. It is also the first bank in China to implement cloud computing in its core systems, fully utilize artificial intelligence for small and micro business risk management, employ satellite remote sensing in rural finance, and apply graph computing to supply chain finance. As a technology-driven bank, MYbank operates no physical branches and instead provides purely online financial services to small and micro businesses through its "310" contactless loan model. This article examines MYbank's evolution from the setbacks of its "Wangnong Loan" program to the construction of an innovative model based on digital technology. It analyzes the role of digital technology in addressing issues such as a lack of rural credit information and inefficient risk management, and explores the logic of sustainable development in rural finance in light of ESG principles. The research shows that as of the end of June 2022, over 49 million small and micro businesses had used MYbank's digital credit services, 80% of whom had never previously received a bank operating loan. This exploration provides practical insights for the digitalization of rural finance.
Coupling Coordination Relationship between Urban Economical Resilience and Economic Development: Evidence from China
The coupled and coordinated development of urban economic resilience and economic development is a key measure to balance development and security. This study uses data from 281 prefecture-level and above cities in China spanning 2010–2018, constructs an evaluation system for urban economic resilience and economic development levels via the entropy weight method, establishes a coupling coordination model to study the spatiotemporal characteristics of their coupling coordination, and applies the Multiscale Geographically Weighted Regression (MGWR) to analyze the spatial heterogeneity of impact effects and driving factors. The findings show that spatially, central cities maintain good coupling coordination, effectively balancing economic development and risk prevention capabilities; the strong coupling coordination of these cities exhibits obvious spillover effects, forming urban agglomerations centered on central cities with strong economic strength, and the overall coupling coordination degree presents the characteristic of being stronger in the southeast and weaker in the northwest. Temporally, the urban coupling coordination degree has decreased significantly since 2016. Meanwhile, the coupling coordination degree between urban economic resilience and economic development shows the characteristics of spatial autocorrelation and spatiotemporal differentiation. Factors such as technological innovation, economic openness, population growth, industrial upgrading, and residents' savings have different impacts on the coupling coordination degree respectively. Finally, this paper puts forward policy suggestions based on the empirical results.
Research on the Impact of Industrial Internet on Corporate Governance of Chinese Enterprises
The industrial internet transformation is key to the high-quality development of manufacturing enterprises. This paper treats it as a systematic strategic change, using data of Chinese listed manufacturing firms (2015-2024) to empirically test its driving effect and internal mechanisms on corporate governance. Major findings include: 1) It exerts a significant positive impact on corporate governance; 2) The enhancement mainly works via two channels: strengthening internal controls and improving executive incentives; 3) Heterogeneity analysis shows stronger governance improvement in private firms than state-owned ones, and obvious effects in eastern/central regions, while incomplete effects in western regions. The paper provides empirical evidence for the relationship and mechanisms between the two under real economy-internet integration, offers decision references for policymakers and enterprises, and promotes healthy capital market development.
How Unified Factors Impact AI Usage Intention in the Workplace: A Study from Employee Perspective
The rapid advancement of Artificial Intelligence (AI) presents significant opportunities for enhancing workplace productivity and efficiency. As AI technologies continue to evolve, understanding the factors that influence employees' intention to adopt AI becomes increasingly crucial. This study investigates the psychological mechanisms underlying AI usage intention among employees, with a specific focus on three key predictors: Innovation Preference (IP), Social Influence (SI), and Performance Expectancy (PE). Additionally, Attitude toward AI is examined as a mediating variable, while Anxiety and Firm Reputation are explored as moderators that may affect these relationships. To examine these relationships, the study employed a structured, valid, and reliable questionnaire to gather data from employees in Pakistan. A total of 610 valid responses were collected and analyzed using hierarchical regression and moderation-mediation analysis. The results demonstrate that IP, SI, and PE significantly predict Attitude toward AI, which in turn has a strong impact on the Intention to use AI. The mediating role of Attitude was confirmed across all three predictors (IP, SI, and PE), indicating that a favorable attitude is a key psychological pathway through which these factors influence AI adoption intentions. The study's findings highlight the importance of fostering positive employee attitudes toward AI to promote its adoption in organizational settings. Furthermore, the moderation analysis reveals that Anxiety significantly moderates the relationship between Social Influence and Attitude, while Firm Reputation moderates the link between Attitude and Intention to use AI. These results emphasize the need for organizations to consider both psychological and contextual factors—such as emotional responses and perceived organizational credibility—when implementing AI technologies. Overall, the study contributes valuable insights into the social and psychological dynamics that shape technology adoption decisions in the workplace.
A Study on Employee Psychological Capital Development and Management Strategies from an Organizational Behavior Perspective
Against the backdrop of digital transformation and intensified market competition, employees are facing increasing pressure and anxiety. Traditional management models centered on "task completion" are no longer adaptable to the needs of sustainable organizational development. Psychological capital, as one of the four positive psychological resources possessed by individuals—self-efficacy, hope, resilience, and optimism—is crucial for improving employee performance and reducing turnover. Organizational behavior provides theoretical support and a practical framework for this process. Drawing on the perspective of organizational behavior, this paper, through literature research and theoretical analysis, first defines the core relationship between psychological capital and organizational behavior, clarifying the mechanisms by which psychological capital influences individual behavior, group interactions, and organizational operations. Secondly, it analyzes the current challenges faced by enterprises in psychological capital management, including cognitive biases, a single development approach, and insufficient mechanism linkage. Finally, it proposes targeted strategies at the individual, organizational, and support levels, including enhancing individual capabilities based on "self-regulation theory," building organizational mechanisms based on a "situation-behavior" framework, and designing support paths based on a collaborative "institution-implementation" approach. Research shows that integrating psychological capital development into organizational behavior management systems can effectively stimulate positive employee behavior, achieve synergistic development between individuals and organizations, and provide practical guidance for corporate human resource management practices.
The Impact of Supply Chain Collaboration on Corporate Financial Performance: A Case Study of Manufacturing Firms
This research examines the influence of supply chain collaboration (SCC) on the financial performance of manufacturing companies in China. As the Chinese manufacturing sector faces increasing competition and complexity, efficient supply chain management has become crucial for maintaining a competitive edge. SCC, defined by close cooperation between suppliers and manufacturers, has been proposed as a strategy to optimize resources and improve overall performance. The objective of this study is to assess the impact of SCC on key financial indicators, including profitability, cost reduction, and revenue growth. To achieve this, a mixed-methods approach is employed, integrating qualitative case studies with quantitative regression analysis. The results demonstrate that effective SCC practices lead to improved profitability and reduced operational costs for firms. However, the study also highlights that while SCC supports revenue growth, its effect is influenced by other factors such as product innovation and market adaptability. This research contributes to the extant literature by presenting empirical evidence of the positive relationship between SCC and financial outcomes within the Chinese manufacturing sector. Additionally, it offers practical recommendations for companies looking to enhance their financial performance through stronger collaboration within their supply chains.
Evolution of Business Model of Golf Course: Transition from Membership System to Experience Economy
With the progress of science and technology and the improvement of people's living standards, the golf industry has also ushered in new changes and development opportunities. Firstly, this paper analyzes the characteristics of the traditional membership mode of golf courses and the predicament of the development of membership mode under the current social and economic conditions, then gives a basic introduction to the experience economy mode, and analyzes the positive influence of experience economy on the development of golf course business model, mainly in changing consumer demand, promoting the diversified development of golf industry and reshaping brand image. Finally, it puts forward the basic path of the transformation of golf course business model from membership to experience economy, aiming at providing more ideas for the development of golf industry.
A Study on the Dual Impact of Generative Prediction (GPT)-Based AI on the Quality of Corporate Financial Disclosure
Against the backdrop of accelerating digital transformation, GPT-based generative AI technologies are gradually penetrating the entire corporate financial disclosure process, exerting a significant dual impact on disclosure quality. Drawing on information asymmetry theory and principal-agent theory, combined with KPMG's global research data and case studies such as Amazon and AllHere, this paper systematically analyzes the positive impact and potential risks of generative AI on the quality of financial disclosure. The study finds that generative AI can reduce disclosure redundancy through automated processing, compressing MD&A report summaries to 25% of the original while retaining core information, while also improving forecast accuracy and compliance efficiency. However, this also presents risks such as "AI whitewashing," data fabrication, and algorithmic black box manipulation. For example, the US AI startup AllHere overstated its revenue by nearly 700 times by fabricating AI-related financial data. The study further suggests the need to establish a coordinated mechanism across three dimensions: optimizing corporate governance, upgrading regulatory technology, and managing model security. The conclusions indicate that the impact of generative AI on disclosure quality is not one-way; its ultimate effect depends on the alignment between technical application specifications and risk prevention and control systems. This finding provides empirical evidence for companies to rationally utilize AI technology and for regulators to improve governance rules.