Academic Journal of Management and Social Sciences
Academic Journal of Management and Social Sciences (AJMSS) is a peer-reviewed journal published by Darcy & Roy Press. The mission of the journal is to provide an academic forum for discussing the issues of management, social sciences across the world. All articles published are rigorously and fast reviewed meeting the Journal Quality standards.
Research and Practice on the “Four-Dimensional Innovation” Model for Cultivating Design Talents in the Context of Hainan International Design Island
Against the backdrop of constructing Hainan International Design Island, this paper investigates the “Four-Dimensional Innovation” model and its practical reform in cultivating design talents at Hainan Tropical Ocean University. The model advances teaching reform for design majors through four dimensions—concept innovation, curriculum innovation, mechanism innovation, and evaluation innovation—by integrating industry-university-research-application collaboration, university-enterprise cooperation, academic competition integration, and research‑backed teaching. Taking the Information Design course as a practical vehicle, the study introduces real‑world corporate projects, restructures course content and teaching methods, establishes a “course‑competition integration” mechanism, and transforms research outcomes into teaching cases, thereby forming an integrated implementation path of “industry linkage, pedagogical innovation, competition empowerment, and research feedback.” Practice shows that the “Four-Dimensional Innovation” model effectively promotes the construction of design curricula, optimizes teaching content and processes, significantly enhances students’ practical innovation ability and international competitiveness, and meets the talent development needs of local Hainan enterprises under the International Design Island initiative.
Copyright (c) 2026 Academic Journal of Management and Social Sciences https://creativecommons.org/licenses/by-nc/4.0
A Literature Review on the Impact of Digital Hindrance Stressors on Employees' Psychological Need Satisfaction
The digital economy is taking off at an astonishing speed, and against this backdrop, digital transformation has become a key force propelling enterprises toward high-quality growth. This wave of change opens up exciting new opportunities for businesses, yet it also places heavy new demands on their workforce. In today's workplaces, digital tools are everywhere, and employees often find themselves wrestling with what we call digital hindrance stressors as they go about their daily tasks. These stressors include things like being overwhelmed by too much technology, having their workflow constantly interrupted, or feeling that the digital tools they have to use just aren't effective. Essentially, these are pressures that stem from using digital technology on the job, and they tend to take a toll on people's psychological well-being and their overall satisfaction with work. That said, the existing literature hasn't really dug deep into how these particular stressors relate to employees' basic psychological needs being met. Given that these digitally-induced pressures can stir up a fair bit of trouble, Therefore, against the backdrop of digital transformation, this study systematically examines the relationship between digital hindrance stressors and the fulfillment of employees’ basic psychological needs.
Innovative Regeneration of Rural Public Spaces and Community Vitality Enhancement Driven by AIGC Technology: A Case Study of Guojia Ci Public Spaces
In the context of China's ongoing rural revitalization strategy, rural public spaces—critical arenas for community interaction, cultural heritage, and recreation—confront significant challenges, including functional homogeneity and diminished vitality during spatial regeneration. The rapid advancement of Artificial Intelligence Generated Content (AIGC) technologies has unlocked novel methodological avenues for rural spatial regeneration, extending the frontier of design innovation.This study aims to construct and validate an AIGC-assisted design process for rural public spaces. By integrating literature reviews, case studies, and technical evaluations of tools such as Stable Diffusion and Midjourney, a methodological framework was established. Subsequently, using the public space of Guojia Ci Village in Chengdu’s Eastern New District as a case study, this framework was applied to a comprehensive practical process—encompassing site analysis, intelligent scheme generation, and community co-creation—to test its application methods and implementation pathways. The study advances three strategic interventions: temporal-spatial resilient layouts, multisensory immersive landscapes, and cultural IP development. These strategies coalesce into a human–machine collaborative design paradigm underpinned by AIGC technologies and oriented toward community participation. The results indicate that AIGC technology can effectively enhance design efficiency and creative diversity, strengthen villagers’ sense of participation and belonging in spatial renewal, and promote the contemporary expression and inheritance of local culture.
Legal Regulation of National Security Protection in the Low-Altitude Economic Format from the Criminal Law Perspective
The present era witnesses the vigorous development of the low-altitude economy. As an emerging phenomenon, the low-altitude economy inevitably has certain practical defects and deficiencies, which are likely to cause harm to national security in practice. Due to its nature as a new thing, insufficient discussions have been conducted in current research, and existing papers mostly focus on the impact of the low-altitude economy on individuals' private rights, while to a certain extent neglecting its impact on national public interests and the corresponding regulatory issues. In the author's opinion, the impact of low-altitude economic activities on national economic, social, military security and other aspects must be incorporated into the consideration of criminal law. Criminal law should carry out normative and innovative legislation and practical operations based on factors such as the degree of excess and specific conditions of low-altitude economic acts. This research topic is closely related to the national economy and people's livelihood, affects national development, conforms to the development trend of criminal law in the present era, and is in urgent need of in-depth discussion. This paper mainly discusses the maintenance and regulation of criminal law in the field of national economic security related to the low-altitude economy.
Research on the Optimization of Modernization Paths for Border Governance
Border governance modernization is an important component of the modernization of the national governance system and governance capabilities, and it is also an inevitable requirement for stabilizing and fortifying the borders, and promoting prosperity and well-being for the people along the borders. China has a long border line and is adjacent to many countries, with frequent cross-border personnel and cultural exchanges. The governance scenarios are complex and diverse. Promoting the process of border governance modernization is of vital importance. Currently, China's border governance has achieved remarkable results in areas such as border security, ecological construction, and improvement of people's livelihoods. However, there are still prominent problems such as the absence of a cross-border marriage governance mechanism, a low level of industrial structure, and border emptiness, which restrict the further improvement of governance levels. This article, based on the requirements of development in the new era, systematically analyzes the theoretical connotation and practical challenges of border governance modernization, combines the actual development of border areas, and proposes optimization countermeasures from the aspects of system improvement, industrial upgrading, and population aggregation. The aim is to solve governance difficulties through bilateral collaboration, cultivate diversified characteristic industries, improve policies for attracting and retaining talents, and establish a diversified co-governance system, in order to break through governance obstacles, promote the improvement and efficiency enhancement of border governance, strengthen the national security barrier, and promote the prosperity and stability of border areas.
Research on the Financial Performance of San li Pharmaceutical's Consecutive Mergers and Acquisitions from the Perspective of EVA
The pharmaceutical industry is closely related to People's Daily lives. Against the backdrop of the COVID-19 pandemic and an aging population, the number of domestic pharmaceutical companies has been increasing, and top foreign pharmaceutical companies are also accelerating their layout in the Chinese market. The competition among enterprises is becoming increasingly fierce. For domestic pharmaceutical companies to gain a foothold in the fierce competition of the pharmaceutical industry, implementing continuous mergers and acquisitions is a better strategic approach. This article selects Guizhou Sanli Pharmaceutical Co., LTD. (hereinafter referred to as:) Taking Sanli Pharmaceutical as the subject of study, considering the company's continuous mergers and acquisitions in the past three years (2022- 2024), based on the EVA perspective and traditional financial indicators, through longitudinal and transverse comparative analysis of the company' s financial performance before and after the mergers and acquisitions, it is concluded that continuous mergers and acquisitions have made a positive contribution to EVA's growth. However, the company's profitability, debt-paying ability and operational capacity declined after the merger, and the short-term integration pressure led to a decline in traditional financial indicators. But in the long term, it can create value for the company. Based on this, the corresponding case insights are summarized to enrich the corresponding research field and provide experience and lessons for similar enterprises that want to implement continuous mergers.
Energy Carbon Emission Measurement and Influencing Factor Analysis - A Case Study of Ningxia Abstract
This study takes five prefecture-level cities in Ningxia—Yinchuan, Shizuishan, Wuzhong, Guyuan, and Zhongwei—as research subjects, using the emission factor method to calculate urban carbon emissions from 2011 to 2023. It analyzes the impacts of population size, economic development level, industrial structure, and other factors on carbon emissions, and explores key driving forces by integrating data on green finance, innovation indices, and urbanization. The findings indicate that carbon emissions in Ningxia exhibit significant spatial disparities, with high-emission areas concentrated in northern industrial cities, showing a "high north, low south" distribution pattern. Total carbon emissions have shown an upward trend, while emission intensity has continuously declined, indicating a gradual decoupling between economic growth and carbon emissions. Economic level, industrial structure, and energy consumption are the core drivers, while green finance and technological innovation demonstrate significant emission reduction effects. Urbanization shows an inverted "U"-shaped relationship with carbon emissions. Finally, the study proposes differentiated policy measures, region-specific controls for northern and southern areas, core-led initiatives, and ecological prioritization as pathways for emission reduction, offering strategic recommendations for pollution control and carbon mitigation in Ningxia Hui Autonomous Region to achieve its dual carbon goals.
Implementation Pathways of Elderly Care Services Embedded in Age-Friendly Communities: A Case Study of Yan'an Er Road Community in Qingdao
Against the backdrop of an aging population and increasing demand for elderly care services, as well as the policy initiative of building "elder-friendly communities" through pilot programs, China urgently needs to explore ways to integrate elderly care services into these communities. Taking Qingdao's Yan'an Er Road Community—a national model for elderly-friendly communities—as the research case, this study examines the implementation pathways of embedding elderly care services into such communities from four dimensions: spatial integration, functional integration, actor integration, and emotional integration. The aim is to provide reference for community governance and elderly care services in China, while offering valuable insights and experiences for the development of elderly-friendly communities in the country.
Copyright Infringement Determination in Text Content Generated by Artificial Intelligence
Copyright issues of artificial intelligence-generated content have become a key focus in AI-related rule of law. Of these, copyright violations of AI-generated text are especially pertinent. The old test, of “access + substantial similarity” cannot be correctly applied to the text generated by AI because of the nature of such text. The U.S. system is based on case law; the EU and Germany systems are based on comprehensive institutional frameworks and have different approaches. In this way, infringing on such a basis can be comprehensively determined by distinguishing protected and unprotected elements of copyrighted works and identifying original elements. A filing and inspection mechanism for AI training data should also be put in place to ease the determination of the "access" requirement.
The Childlike Manifestation and Dissemination Mechanism of French Life Philosophy: A Multimodal Discourse Analysis Based on "Kamelott the Chicken" and "A Bear Named Ate and a Mouse Named Sena"
Against the backdrop of globalization, French children’s literature has achieved effective cross-cultural communication by virtue of its unique Art de vivre concept, yet its internal mechanism remains to be explored. Taking Carmela the Chicken and Ernest & Celestine as cases, this study adopts multimodal discourse analysis and cultural communication theories to dissect the childish construction strategies of the French lifestyle concept from three meaning dimensions: representation, interaction, and composition. The study finds that the two works transform abstract cultural concepts into concrete childish narratives through the collaborative operation of multimodal symbols. At the representational level, they construct a "French picture" via the artisticization of life details; at the interactional level, they establish emotional connections from a de-adult-centered perspective; at the compositional level, they guide cultural identity through visual grammar. This "soft landing" communication strategy effectively reduces "cultural discount" and provides practical references for the cross-cultural communication of Chinese children’s cultural products.
Promoting Cosmocentric Worldview in Literature: A Case Study of We Are Water Protectors
Carole Lindstrom’s childhood was shaped by a scarcity of Native children’s literature and the historical marginalization of Indigenous traditions in North America. Against this cultural background, We Are Water Protectors emerges as a significant work of Indigenous storytelling. By adopting postcolonial and ecological theories, this research finds that, rooted in a cosmocentric worldview and animist beliefs, the book emphasizes the reciprocal ties between humans and nature and critiques the ecological harm caused by modern industrial projects. The imagery of the black snake in the work aligns with a symbol in Ojibwe cultural philosophy rather than a mere individual narrative within the book. From a cosmopolitical perspective, the repetitive expressions of “water life” and “water has a soul” endow water as a sacred entity, not a resource for human use. The work reflects the Indigenous cultural belief that all living things hold their own spirit and inherent value and resists the neoliberal anthropocentric views that put capital before ecological health. From an ecological perspective, the Indigenous girl’s role as a water protector embodies intergenerational responsibility for the land, rivers, and species of the future. This picture book exerts a unique educational effect on young readers, using visual and simple storytelling that fits children’s cognitive level and passes Indigenous ecological knowledge and environmental awareness to them in an approachable way. This case study of the picture book also points to the broader meaning of Indigenous children’s literature; such works carry and pass on Indigenous cultural and ecological ideas; they nurture children’s environmental justice awareness from an early age and shape their sense of duty to nature across generations. By analyzing the embedded Ojibwe cosmocentric worldview, this article calls for a renewed awareness of environmental justice. It also advocates for rebuilding a balanced relationship between humans and the natural world through sustained intergenerational efforts rooted in the ecological wisdom inherited from Indigenous cultures.
The Impact of Digital Transformation on Enterprise Operational Capacity Based on the Moderating Effect of Supplier Collaboration
As the technological revolution and industrial transformation deepen, the digital economy has become a major force behind high-quality economic growth. The 20th National Congress of the Communist Party of China called for faster development of the digital economy, deeper integration with the real economy, and the creation of globally competitive digital industry clusters. However, at the firm level, how to use digital tools to improve operational capacity remains an open question. Based on transaction cost theory, this study constructs a digital transformation index using textual analysis and applies a two-way fixed-effects model for empirical testing. To identify the transmission channel, we examine the mediating role of supply chain concentration. We also explore heterogeneity by ownership type, geographic location, and firm size through subgroup regressions. A series of robustness checks are performed. Results show that digital transformation significantly enhances operational capacity, a finding that holds across robustness tests. Further analysis reveals that supply chain concentration acts as a significant mediator. Heterogeneity analysis indicates that the positive effect is stronger in non-state-owned, large-scale, and non-coastal firms. This paper not only reveals how digital transformation affects operational efficiency but also contributes to the digital economy and working capital management literature. It provides empirical evidence and practical guidance for firms seeking to optimize supply chain structures and improve operational performance through digital means.
Influencing Paths of Local Government Emergency Management Effectiveness ——A Qualitative Comparative Analysis Based on 25 Typical Production Safety Accidents
This paper mainly explores the influence paths of local governments' emergency management effectiveness in China. Selecting 25 typical work safety accidents from 2022 to 2025 as samples, it adopts the fuzzy-set Qualitative Comparative Analysis (fsQCA) method and builds an analytical model of six conditions based on the Technology-Organization-Environment (TOE) framework: media coverage, mobile Internet penetration rate, emergency material reserves, leading officials' meeting speeches, fiscal revenue scale, and Baidu Index. The study systematically identifies four configuration paths in order to achieve high effectiveness with characteristics of “hour-level response”. It finds that the “media-fiscal” combination is the backbone supporting path to generate high effectiveness while the marginal effect of material reserves is largely contingent on the synergies of information and fiscal conditions. Additionally, leading officials' speeches and public attention exhibit a certain substitution effect under specific circumstances. This paper further proposes a policy framework of "technology bottom line—condition matching", providing empirical evidence and institutional suggestions for addressing the dilemma of "high investment—low effectiveness" in grassroots emergency management.
Mechanisms and Effects of Digital Technology Empowering Government Performance Management: A Case Study of Yuhang District, Hangzhou
Government performance management is a key measure for modern countries to improve their governance system and governance capacity and realize long‑term stability. However, it faces practical dilemmas including unclear indicator systems, distorted information collection, and insufficient application of results. In recent years, the rapid development of digital technology has provided new solutions to these problems. Existing studies have widely discussed the empowering mechanisms and effects of digital technology. Yet most studies focus on single links such as indicator design, data collection, or performance evaluation. They lack a systematic explanation of how digital technology works in the whole process of performance management. Therefore, this paper builds a whole‑process analytical framework consisting of indicator construction, information collection, result generation, performance attribution, and achievement utilization. Taking the digital government practice in Yuhang District, Hangzhou as a case, this paper deeply analyzes the operational mechanisms of digital technology empowering government performance management. The study finds that digital technology effectively solves defects in traditional public sector performance management. These defects include static and rigid indicators, subjective and distorted data, oversimplified evaluation, vague attribution, and improper result application. Digital technology achieves these improvements through dynamic indicator construction, concomitant data collection, algorithm‑driven result generation, intelligent performance attribution, and implementable achievement utilization. Theoretically, this paper expands the whole‑process perspective for explaining digital‑enabled performance management. Practically, it provides a reference for local governments to promote intelligent performance governance.
The Impact of Artificial Intelligence Development on Firms’ Educational Composition of Labor
As a strategic technology driving a new wave of scientific and technological revolution and industrial transformation, artificial intelligence (AI) is profoundly reshaping firms’ factor allocation and labor demand structure. Using Chinese A-share listed firms in Shanghai and Shenzhen from 2014 to 2024 as the research sample, this study constructs firm-level AI development indicators through text analysis and machine learning methods, and empirically examines the effect of AI development on firms’ labor structure from the perspective of educational composition, while further exploring its heterogeneity. The results show that, first, AI development significantly reshapes firms’ educational composition of labor. For each one-unit increase in AI development, the share of low-educated labor decreases by 0.007 units, whereas the share of high-education labor increases by 0.006 units, revealing a typical pattern of “substituting for low-educated labor while complementing high-educated labor.” Second, firms’ technological innovation capability plays a significant mediating role between AI development and adjustments in labor educational structure. By enhancing firms’ technological innovation capability, AI development reduces demand for low-educated labor and increases demand for high-education labor. Third, the effect of AI on labor educational structure exhibits significant regional and industrial heterogeneity. The substitution effect is stronger in developed regions, whereas the complementarity effect is more pronounced in less developed regions; moreover, the effect in high-technology industries is approximately 2.5 times as large as that in non-high-technology industries. This study reveals the micro-level logic of firms’ labor allocation under the technological shock of AI, provides empirical evidence for understanding the application of skill-biased technological change theory in the AI era, and offers a scientific basis for governments to formulate differentiated talent policies, guide the smooth transformation of the labor market, and promote the coordinated development of technological progress and employment structure optimization.
A Study of the Identity Construction of Standard Albanian from Certain Western Perspectives
In the context of nation-state construction and ideological change, language is the main material for identity construction. From the perspective of the differences between the Albanian dialects of Gheg and Tosk, this paper explores how the dialectal differences have changed from a language phenomenon to a social identity issue. From the perspective of structural linguistics and sociolinguistics, this paper discusses in detail the similarities and differences between the two dialects in pronunciation, grammar and vocabulary, as well as the process of selecting the standard language, and analyzes the deep reasons behind the language standardization. On this basis, it explains the behavior of the marginal Gheg dialect while Albania molded the Tosk dialect as a symbol of “progress” and “unity” in the socialist period from the perspective of language ideology theory and symbolic power. In addition, in the experience of different regions in Albania, it explains how language becomes the center of social division and its role in the real situation. Finally, it is concluded that behind the implementation of Albanian standard language is a dynamic identity problem, and language is the resource to create group identity.
Research on the Influencing Factors of Citizen Satisfaction with Digital-Intelligent Governance of County-Level Governments——Mediating Role of Citizen Digital-Intelligent Literacy
To explore the influencing factors of citizen satisfaction with digital-intelligent governance of county-level governments and address gaps in existing research, this study constructs an analytical framework of "digital-intelligent governance status—citizen digital-intelligent literacy—citizen satisfaction". Combining questionnaire surveys and in-depth interviews, this study collects data from 1,000 valid questionnaires and 60 in-depth interview records covering 20 counties in eastern, central, and western China. SPSS software is used for descriptive statistics and benchmark regression analysis, and the bias-corrected Bootstrap method with the Process plug-in is adopted to test the mediating effect. The results show that digital-intelligent governance policies, practices, and outcomes of county-level governments all exert significant positive impacts on citizen satisfaction. Citizen digital-intelligent literacy plays a significant positive mediating role in the relationships between digital-intelligent governance policies, practices, outcomes and citizen satisfaction. This study enriches the mechanism of how county-level government digital-intelligent governance affects citizen satisfaction, and provides theoretical references and practical foundations for grassroots governments to optimize digital-intelligent governance practices, cultivate citizen digital-intelligent literacy, and improve governance efficiency and citizen satisfaction.
How Digital Transformation Shapes Corporate Greenwashing: The Mediating Effect of Executives’ Sustainability Cognition
The paper will examine the association between digital transformation and corporate greenwashing based on the sample of Chinese A-share-listed companies between 2014 and 2024. It is an empirical study incorporating the mediating variable as the green awareness of executives to investigate the effect of digital transformation on corporate greenwashing and the process behind it. The outcomes indicate that digital transformation can greatly prevent corporate greenwashing, with part of it being sustained by increasing the green consciousness of the executives. The analysis of heterogeneity also shows that the inhibitory action of digital transformation on the greenwashing, as well as the mediating effect of the green consciousness of executives, is stronger in the state-owned enterprises and the firms that undergo significant media attention. All in all, this paper explains how digital transformation can alleviate corporate greenwashing and provides theoretical background and practical advice that should be adopted by the companies looking to implement green development and enhance the environmental consciousness of the management.
Narrative Generation and Ideological and Political Guidance Strategies for College Students' Employment Anxiety under the Impact of Artificial Intelligence
The fear of losing their jobs has grown more salient for college students in the face of the speedy development of generative artificial intelligence and its implications for the nature of work. Little existing research has explored anxiety emotions in relation to narrative and how they are constructed and spread on this level, with the majority of studies being on the psychological variables or on larger employment outcomes. This research uses social constructivist narrative theory and LABOV narrative six element analysis method, with 7 fresh graduates of various academic disciplines as subjects, to find out the process of employment anxiety narratives generated by the subjects. The results show that the central theme of “AI's impact on employment” passes through two pivotal behavioral nodes, namely “whether to engage in AI-related education” and “how to explain failure,” resulting in three role stories: “victims,“ “observers,“ and “resisters. Metaphoric devices and final admonitions/lectures are used to achieve social emotional diffusion in these narratives. Based on these findings, the study recommends a political education strategy focused on "narrative reconstruction" that includes changing narrative motifs, helping to differentiate their roles, improving discursive symbols and building an integrated "curriculum-service-practice" political education system. It is systematic negative anxiety narrative deconstruction, which helps students change the negative narrative of technology into a positive one, and helps to provide solutions to ideological and political education that can actively adapt to the AI era.
A Study on the Syntactic, Semantic and Pragmatic Functions of the Construction "Wang Si Li V"
Based on Construction Grammar and Cognitive Linguistics, this paper conducts a systematic study of the modern Chinese construction wang sili V (“to V to death/extremely”) from three dimensions: syntax, semantics, and pragmatics. Syntactically, the construction is semi-fixed and semi-schematic. The verb V is mainly a monosyllabic volitional verb, often functioning as the predicate and capable of forming an independent clause, with various constituents co-occurring before and after it. Semantically, si (“death”) has grammaticalized from a resultative meaning to an intensifier. The verb has gradually generalized, giving rise to four variants: ba/jiang/gei/bei N jiu wang sili V. The construction as a whole is characterized by subjectivity, qualitative increment, and extremity. Pragmatically, it is predominantly derogatory but also has commendatory and neutral uses. It mainly conveys coercive directives via deontic modality and highlights the subject’s volition through dynamic modality, thus fulfilling functions of affective evaluation and interpersonal interaction.
Research on Heterogeneous Information Disclosure of Different Enterprise Types under Industry Competition Pressure——An Analysis Based on Competitive Position, Ownership and Technical Attributes
Against the backdrop of the restructure of the global economic and trade pattern and the exponential growth of industry competition pressure, information disclosure has become an important strategic measure for enterprises to respond to competition and obtain resources. There are significant heterogeneities in the disclosure strategy choices of different types of enterprises. This paper takes the information disclosure behavior of enterprises under industry competition pressure as the research object, analyzes the correlation logic between competition intensity and enterprise disclosure strategies, explores the differentiated information disclosure characteristics of different types of enterprises from three dimensions: competitive position, ownership nature and technical attribute, and sorts out the future research trends and regulatory suggestions of information disclosure strategies. It is found that the overall information disclosure of enterprises under industry competition pressure is dominated by strategic disclosure and supplemented by authentic disclosure. Enterprises in a highly competitive environment mostly adopt strategic disclosure to maintain competitive advantages, while they pay more attention to authentic disclosure in a low-competition environment or under peer pressure. Enterprises with a high competitive position tend to selectively disclose positive information and conceal negative and core information. State-owned and non-state-owned enterprises adopt different disclosure strategies in different competition modes due to the differences in their business objectives. High-tech enterprises keep strict confidentiality of core technical information and maintain authentic disclosure of non-technical business information. The study also confirms that the enterprise disclosure strategy is not a single choice, but a dynamic trade-off between authenticity and strategicity based on external contexts such as industry competition intensity and competition mode, and this dynamic balance will become the mainstream trend in the future. Finally, differentiated policy suggestions are put forward for different departments such as financial supervision and market supervision, which provide a reference for regulating enterprise disclosure behavior and balancing the development of capital market and industrial innovation.
Exploring Personal Information Protection Issues in the Context of Generative Artificial Intelligence
<span lang="DE" style="font-size: 11.0pt; mso-bidi-font-size: 10.0pt; font-family: 'Arial',sans-serif; mso-fareast-font-family: 宋体; mso-style-textfill-type: gradient; mso-style-textfill-fill-gradientfill-shadetype: linear; mso-style-textfill-fill-gradientfill-shade-linearshade-angle: 5400000; mso-style-textfill-fill-gradientfill-shade-linearshade-fscaled: yes; mso-style-textfill-fill-gradientfill-stoplist: '50000 \#000000 1 100000\,0 \#BFBFBF 1 100000 lumm=25000 lumo=75000\,100000 \#000000 1 100000 lumm=85000'; mso-ansi-language: DE; mso-fareast-language: EN-US; mso-bidi-language: AR-SA;">The full-chain mechanism of generative artificial intelligence—comprising the stages of “preparation–computation–generation”—has fundamentally transformed conventional modes of data processing. This transformation directly and substantively challenges traditional personal information protection frameworks. At the same time, it introduces a range of embedded risks, including data misuse and the opacity of the algorithmic black box As a result, existing regulatory mechanisms such as informed consent are increasingly ineffective in large-scale and highly automated application scenarios. In response, this paper proposes a regulatory framework oriented toward personal information risk prevention and control. Specifically, the framework emphasizes strengthening regulation to constrain key actors, employing privacy-preserving computation technologies to define AI-adapted legal rights and compliance standards, and enhancing users’ ability to exercise their rights effectively. Through these measures, a governance structure can be established in which technology, institutions, and responsible actors operate in coordination, thereby achieving a genuine balance between technological innovation and personal information protection.
Model Innovation and Practical Exploration of Digital Economy Empowering Rural Low-Carbon Development
Against the national strategic background of the coordinated advancement of rural revitalization and the "dual carbon" goals, rural low-carbon transformation is a key path to solving the "three rural issues" and achieving a win-win situation for ecology and development. Addressing the structural contradictions currently faced by rural low-carbon development, this study is based on the theory of digital technology empowering sustainable development, constructs a systematic analytical framework of "demand-empowerment-model-guarantee", and refines three scenario-based innovative models: smart agriculture, green e-commerce, and digital cultural tourism. These models accurately respond to the core needs of emission reduction at the production end, carbon reduction at the circulation end, and low-carbon guidance at the consumption end. The research directly confronts four practical bottlenecks: technological adaptation, digital literacy, long-term mechanisms, and collaborative linkage, and proposes comprehensive solutions including technological optimization, literacy improvement, mechanism improvement, and industrial collaboration. The core contributions of this study are as follows: first, it breaks through the limitations of fragmented research on single technology applications and reveals the internal logic of the digital economy empowering rural low-carbon development through the entire chain; second, it builds a bridge between macro policies and micro practices and improves the interactive analysis dimension of "subject-technology-policy"; third, it clarifies the coordinated transformation mechanism of ecological, economic, and social values, providing replicable low-carbon transformation paths for rural areas with different resource endowments. The research conclusions not only enrich the theoretical system of digital technology empowering rural sustainable development but also provide important support for the coordinated implementation of rural revitalization and the "dual carbon" goals.
The Impact of Green Investment on Financial Performance of Heavy Polluting Enterprises
Economic development has brought about numerous environmental issues, prompting scholars to conduct research on green investment. By selecting data from heavily polluting enterprises and innovatively applying factor analysis using SPSS software, we analyze the impact of green investment on their financial performance and derive a comprehensive scoring formula. We also conduct a longitudinal analysis of how green investment measures have influenced the financial performance of these enterprises in recent years. Ultimately concluding that green investment has a positive impact on the financial performance of heavily polluting enterprises.
Construction of Business Analysis Model Based on User Behavior Data and Optimization of Marketing Strategies
In the digital economy era, user behavior data has become the core strategic resource for enterprises to gain competitive advantages. How to effectively mine valuable information from massive user behavior data, construct scientific and applicable business analysis models, and further optimize marketing strategies to improve marketing efficiency and user value has become an important issue facing enterprises. Based on the theories of user behavior analysis, data mining and marketing management, this paper first combs the connotation and classification of user behavior data, then constructs a multi-dimensional business analysis model including user portrait model, user value evaluation model and user behavior prediction model, and verifies the effectiveness of the model through empirical analysis with the data of an e-commerce enterprise. Finally, based on the model analysis results, targeted marketing strategy optimization suggestions are put forward to provide theoretical support and practical reference for enterprises to carry out data-driven marketing activities. The research shows that the business analysis model based on user behavior data can effectively identify user characteristics, evaluate user value and predict user behavior trends, and the optimized marketing strategies can significantly improve the conversion rate, user retention rate and customer lifetime value of enterprises.
Research on the Evolution of Cumulative Risks Caused by Managerial Slack and Relevant Governance Countermeasures
Most systematic management failures of enterprises stem from cumulative risks caused by daily managerial slack rather than sudden operational crises. Minor control problems in business operations cause little short-term harm and involve trivial supervision work, which easily leads managers to become complacent, slack and reluctant to handle cumbersome tasks. Consequently, hidden risks gradually evolve into systematic governance risks. From the perspective of enterprise process governance, this paper summarizes the four-stage evolution rule of managerial slack, and analyzes the causes of slack and ineffective error correction from three dimensions: control standards, governance cognition and evaluation mechanisms. In view of human tendency toward slackness, this paper puts forward targeted governance countermeasures including simplified supervision, cognitive rectification and power-responsibility binding. The research can provide references for enterprises to prevent cumulative risks arising from managerial slack, strengthen refined management and achieve high-quality development.
Sustainability Uncertainty Risk Exposure and Stock Returns: Evidence from China
This study examines the impact of sustainability uncertainty risk on Chinese stock returns. We find that lower exposure to sustainability uncertainty risk is significantly associated with stock premiums: stocks with lower exposure to sustainability uncertainty risk outperform those with higher exposure in the following months. The results indicate that this premium does not stem from risk adjustment factors or commonly recognized pricing factors. Additionally, the robustness of this premium can be demonstrated through a series of alternative settings. Finally, we offer some potential explanations for the low-risk exposure premium: sustainability uncertainty risk may reduce corporate profitability and increase corporate investment, leading to lower future stock returns; additionally, sustainability uncertainty risk shocks may increase investor attention, causing investors to prefer purchasing stocks with lower risk exposure to hedge against risk.
Urban–Rural Medical Insurance Integration and Out-of-pocket Medical Expenditures
This paper empirically evaluates the impact of China’s 2016 urban–rural medical insurance integration on rural residents’ out-of-pocket medical expenditures using panel data from Hebei Province in the China Family Panel Studies for 2014 and 2018, with a difference-in-differences approach. The findings reveal three main results. First, the integration reform did not produce a statistically significant reduction in rural residents’ out-of-pocket medical expenditures. Second, age emerges as a significant predictor of out-of-pocket medical spending, while gender and household income show no statistically meaningful effects. Third, heterogeneity analysis indicates that the policy exhibits a larger coefficient for the elderly group, though it does not reach conventional significance levels. These findings suggest that simply merging administrative insurance schemes, without complementary measures addressing supply-side cost control and demand-side behavioral responses, may be insufficient to reduce the actual financial burden on rural populations.
The Transformation Logic and Realization Path of Enterprise Management Modes under the Dual Carbon Goals
With the deepening of global climate governance and the promotion of China's dual-carbon strategy, the linear growth logic of traditional enterprise management model is difficult to meet the needs of low-carbon development, and enterprises are faced with the dual contradiction of lack of environmental legitimacy and decline in competitiveness. This paper takes the transformation logic and realization path of enterprise management mode under the goal of double carbon as the research theme and explores how enterprises can break through the shackles of traditional management and realize systematic green transformation. The research deconstructs the failure crux of the traditional management paradigm at the levels of strategy, operation, organization and supply chain, and puts forward a three-dimensional transformation model of "strategic guidance reshaping-operational process reengineering-organizational capacity support", and constructs a complete transformation closed loop of "top design-process control-support guarantee"; And from the strategic level, the Environmental, Social and Governance (ESG) value integration framework is established, the operational level designs the transformation coordination mechanism, the organizational level cultivates the green innovation leadership, and at the same time, the supporting systems such as supporting system guarantee and resource allocation are established, and the specific transformation measures of each link are clarified. This study enriches the theoretical system of enterprise management transformation under the background of double carbon and provides a practical path for enterprises to break through the dilemma of green development and realize sustainable development.
The Influence of Cultural and Economic Factors on the Tampon Market in China
Menstrual health has increasingly gained recognition in public views, being recognized as a public health and human rights issue, and influencing the newer generation to make changes in this aspect. This paper argues how cultural norms and economic factors guided the development of the tampon market in China. The findings suggest that the suppression for consumer demand of tampons is due to the cultural taboos surrounding menstruation, combined with misinformation and limited menstrual education. These cultural factors are further enforced by pricing disparities, limited product availability, and conservative corporate marketing strategies. The cultural and economic constraints collectively sustain a low demand for tampons and reached an equilibrium in the Chinese market, proving that economic barriers could not fully explain the underdevelopment of the market. By highlighting the interactions of the cultural and economic forces, the paper contributes to deeper discussions on menstrual equity, consumer behaviors in taboo markets, and the role of businesses and public institutions in addressing menstrual health inequalities.