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.
Technology Acquisition and Innovation Strategies in the Internationalization Process of Enterprises in Emerging Market
Emerging market firms often make the acquisition of technology the focus of their main internationalisation strategy, creating a kind of "reverse internationalisation" pattern which both adds to and poses challenges to the standard multinational firm theories based on monopoly rents. Cross-border M&A, strategic partnerships and the establishment of overseas R&D facilities are identified as the main channels for emerging market firms to source the critical external technologies. However, the success of technology transfer is largely dependent on the firms' following innovation policy. Emerging market firms must go through a process of capability building to absorb and incorporate the technologies, market-driven incremental innovation and finally, independent innovation so that they can improve their status in the global value chain. The systematic study of this process provides a coherent framework for understanding the international expansion of firms from emerging economies, and provides useful practical guidance for corporate strategic planning. It also has important implications for the policymakers, investors and managers who are in charge of or helping to oversee such cross-border technological upgrading processes globally.
Copyright (c) 2025 https://creativecommons.org/licenses/by-nc/4.0
Exploration of Sustainable Management Strategies for Enterprises under the Background of Socioeconomic Transformation
In 2025, which marks the end of China's 14th Five-Year Plan, the gross domestic product (GDP) will surpass the 140 trillion yuan mark for the first time, reaching 140.1879 trillion yuan. The social economy will undergo a deep transformation towards high-quality development, and industrial structure optimization, green and low-carbon development, and digital transformation will become imperative requirements for enterprise development. This article takes the adaptive development of sustainable management in enterprises under the background of socio-economic transformation as the research objective, based on the national macro policy guidance, combined with authoritative statistical data and practical cases of enterprises of different sizes, systematically analyzes the multidimensional impact of economic transformation characteristics on enterprise sustainable management, and identifies and categorizes the current practical problems such as cognitive bias, insufficient investment, weak practical implementation, and regional development imbalance in enterprises. Based on this, it proposes scientifically sound and practically feasible implementation strategies, providing professional practical references for various enterprises to enhance their sustainable management capabilities, align with economic transformation trends, and achieve long-term healthy development.
Copyright (c) 2026 https://creativecommons.org/licenses/by-nc/4.0
Research on the Impact of "Billion Subsidy" Policy on Consumers' Purchase Intention and Behavior for 3C Products
The government's billion-yuan subsidy policy is of great significance for promoting consumption upgrading and stimulating domestic demand. Utilizing survey data from 1046 questionnaires, this study employs Logistic regression models and Structural Equation Modeling (SEM) to investigate the impact mechanism and pathways through which the billion-yuan subsidy policy influences consumers' purchase intention and behavior regarding 3C products. The results indicate that: (1) Consumers' trust in and cognitive level of the subsidy policy significantly and positively affect their purchase intention, with price attractiveness being the core driving factor. Middle-to-low-income groups show the highest sensitivity to the subsidy policy. (2) Brand technological strength and product familiarity indirectly promote 3C product consumption decisions through marginal gains. Young consumers exhibit more significant purchase intention, while differences in risk preference lead to divergence in consumption behavior. (3) Brand technology, government trust, and product familiarity are key factors influencing consumers' purchase decisions, whereas the impact of price subsidy sensitivity on purchase behavior is relatively limited. Finally, countermeasures and suggestions are proposed based on the conclusions.
Research Status and Frontier of Closed-Loop Supply Chain Pricing for New Energy Vehicles
With the explosive growth of the new energy vehicle industry and the continuous advancement of the global "dual carbon" goal, pricing in the closed-loop supply chain of new energy vehicles, as a core issue of resource recycling, has become a focused research hotspot in academia. To grasp the research status of closed-loop supply chain pricing for new energy vehicles, this paper conducts a visual analysis of relevant literature from the CNKI database between 2015 and 2025 based on the bibliometric tool CiteSpace, in terms of publication trends, highly cited papers, and various knowledge maps. The study shows that relevant research in the past decade has undergone three stages: the initial exploration stage (2015–2018), the policy-driven development stage (2018–2022), and the in-depth technology integration stage (2022–2025). Research hotspots have evolved from traditional static pricing models to dynamic decision-making systems and multi-party game coordination mechanisms empowered by technology. Although certain achievements have been made in current research, a unified theoretical framework has not yet been established. Future research should further focus on interdisciplinary integration and empirical research, continuously improve the relevant theoretical system, and promote practical innovation in this field.
The Importance of Physical Training in Improving the Comprehensive Competencies of Flight Attendants
To explore the compatibility of dance training with the flight attendant profession and its impact on improving flight attendants' overall competence, this study selected 80 current flight attendants and conducted a 12-week, three-phase progressive dance training program (focusing on basic dance posture correction, advanced dance temperament development, and the integration of dance movements with cabin service etiquette). Through questionnaires, interviews, and experiments, the study compared pre- and post-training changes in flight attendants' physical fitness, professional image, and service etiquette, focusing on analyzing the relevance of dance training to the professional needs of flight attendants. The results showed that: in terms of physical fitness, core indicators improved moderately (P<0.001), the average time for a 3000-meter run was shortened by 0.47 minutes, the average number of push-ups for men increased by 5.53, the average length of plank support increased by 23.35 seconds, and the average sit-and-reach distance increased by 4.33 cm; in terms of professional image, the overall score increased by 0.70 points, and the posture and demeanor dimension directly influenced by dance training increased by 24.1% (P<0.001); in terms of service etiquette, the overall score increased by 12.8 points, the standardization rate of cabin service actions (guiding gestures, meal delivery gestures, etc.) increased from 68.75% to 93.75%, and the proportion of personnel with excellent etiquette execution capabilities increased from 6.25% to 31.25% (P<0.001). Research shows that dance body training, through three major paths: posture correction, temperament cultivation, and movement standardization, accurately matches the core requirements of the flight attendant profession for "standardized external image, elegant service movements, and professional professional temperament". It is a key means to improve the comprehensive quality of flight attendants and provide a more professionally adaptable practical plan for talent training in the aviation industry.
Research on the Mechanisms and Paths of First-Time Launch Economy Empowering Consumption Upgrading
Against the backdrop of the deep integration of consumption upgrading and supply-side structural reform, the "first launch economy," a new economic form centered on new product launches, first store openings, and business model innovation, is becoming an important engine for activating the consumer market and promoting the upgrading and expansion of consumption. Based on consumer economics and innovation theories, this paper defines the core connotations of the first launch economy and consumption upgrading, as well as their intrinsic relationship. It systematically analyzes the transmission mechanism by which the first launch economy empowers consumption upgrading, and, considering the current challenges in its development, proposes targeted optimization paths. This provides theoretical support and practical reference for promoting the high-quality development of the first launch economy and facilitating consumption upgrading. Keywords: First launch economy; consumption upgrading; transmission mechanism; optimization path.
Research on the Theoretical Basis and Analytical Framework of Digital Technology-driven Intelligent Transformation of Marine Ranches
Marine ranches are complex systems with multiple functions including production supply, ecological restoration, quality and safety, and social services. Their operating objects are open, mobile, and highly uncertain. Traditional management methods that rely on experiential judgment and decentralized operations are difficult to adapt to the development requirements of refinement, collaboration, and sustainability. With the maturation of technologies such as the Internet of Things, intelligent perception, artificial intelligence, cloud-edge collaboration, digital twins, and blockchain, Marine ranches are shifting from single-point equipment updates to systematic reconfiguration around data, processes, organizations, and institutions. Based on the digital transformation theory, the technology-organization-environment framework, the technology implementation and assimilation theory, the absorptive capacity theory, the dynamic capacity theory, and the resource orchestration theory, this paper systematically reviews the theoretical logic of digital technology-driven intelligent transformation of Marine ranches and constructs an analytical framework of "antecedent conditions - stage processes - capability embedding - performance results". The study suggests that the intelligent transformation of Marine ranches is not a simple technology introduction, but an organizational evolution process gradually advanced by digital technology adoption, digital technology absorption and digital technology institutionalization; Technological attributes, organizational foundations and environmental pressures jointly determine the starting point of transformation, dynamic capabilities, absorptive capabilities, resource orchestration capabilities and innovation capabilities jointly determine the depth of transformation, while economic performance, ecological performance and social performance constitute the combined result of value realization. Furthermore, this paper reveals the six value realization logics of the intelligent transformation of Marine ranches, namely the logic of efficiency improvement, the logic of decision optimization, the logic of ecological governance, the logic of collaborative governance, the logic of credit enhancement and the logic of resilience improvement, and puts forward a set of research propositions for subsequent empirical testing. This paper aims to provide an interpretive and scalable comprehensive analytical framework for the study of the intelligent transformation of Marine ranches, and also to provide theoretical support for the high-quality development of Marine ranches in the context of the blue economy.
Research on Pricing Strategies for Two-sided Platform Business Expansion Considering Asymmetric Network Effects
Under the cross-market network effect characteristics of a platform, this study examines pricing strategies during business expansion by considering asymmetric cross-network effects on both sides of the platform. The findings reveal: (1) When cross-network effects are stronger on the original business's seller (buyer) side, the platform subsidizes the original business's buyer (seller); when cross-network effects are weaker on the original business's seller (buyer) side and cross-market network effects are also weak, the platform charges the original business's buyer (seller). (2) The platform consistently charges sellers in the new business segment. When cross-network effects for buyers in the new business segment are smaller than (larger than) those for sellers, the platform subsidizes (charges) buyers in the new business segment; (3) Profits from the new business segment and the platform's total profits remain consistently positive and are positively correlated with cross-market network effects, whereas profits from the original business segment are negatively correlated with cross-market network effects.
Research on ESG Performance, Financing Constraints and Corporate Value
Under the strategic background of advancing ecological civilization construction and achieving the "dual carbon" goals, the ESG concept is increasingly becoming a key driver of China's high-quality economic development and a new benchmark for value investment in the capital market. However, despite the growing diversification of financing channels in China's financial market, structural imbalances remain prominent, resulting in severe financing constraints for many enterprises, which restrict normal operations and strategic investments, and become a critical bottleneck hindering industrial transformation and economic structure optimization. To this end, this paper selects 2,452 enterprises listed on the Shanghai and Shenzhen A-share main board markets from 2015 to 2024 as research subjects, incorporates financing constraints as a core mediating variable into the analytical framework, and deeply examines the transmission mechanism between ESG performance and corporate value. The empirical findings are as follows: (1) improving ESG performance can enhance corporate value; (2) ESG performance helps alleviate corporate financing constraints; (3) alleviating financing constraints can enhance corporate value; (4) financing constraints play a mediating role between ESG performance and corporate value.
The Impact of Peer Effect on Household Savings: Evidence from China
Understanding the factors that influence household savings behavior is essential for promoting economic sustainability and enhancing financial stability, especially in transitional economies like China. We propose a two-way fixed effects model to investigate the relationship between peer savings and individual household savings within the same community using the China Labor-force Dynamics Survey (CLDS) data, covering the period from 2012 to 2018. We further propose two moderate factors, social security and social capital, to explore the effect on household savings. The results indicate that peer savings within the same community significantly raise individual household savings, as a 1% increase in peer savings is associated with a 59.8% increase in household savings. Further, we evaluate that the peer effect in rural areas is 4.7% higher than in urban areas, 13% higher in wheat- than in rice-growing regions and 4.6% higher in small than in big community. Overall, these findings highlight the importance of social interactions and contextual heterogeneity in shaping household savings, offering policy insights to strengthen financial resilience and support sustainable development.
Research on the Transformation Challenges and Countermeasures for Small and Medium-sized Cold Chain Logistics Enterprises from a Digital Economy Perspective
Against the backdrop of the digital economy, cold chain logistics—a critical sector ensuring the circulation of fresh produce—has seen digital transformation emerge as a core trend for high-quality industry development. According to the China Cold Chain Logistics Committee, small and medium-sized cold chain logistics enterprises, accounting for over 90% of the sector by scale, play a vital role in regional fresh produce distribution. However, constrained by multiple factors including resources, technology, and management, their digital transformation lags behind industry development, subjecting them to severe survival and competitive pressures. This paper employs a literature review methodology, systematically analysing relevant academic literature, policy documents, and industry reports to dissect the current state and core challenges of digital transformation among SME cold chain logistics enterprises. It constructs a four-dimensional countermeasure framework—"resource integration, technology adaptation, management optimisation, and environmental improvement"—to provide enterprises with low-cost, actionable transformation guidance.
Small and Medium-Sized Cold Chain Logistics Enterprises
The Path of Combining Huainan Tofu Culture with Rural Revitalization in the Digital Era
Intangible cultural heritage is an important crystallization of the wisdom and cultural inheritance of the Chinese nation. The intangible cultural heritage rooted in rural areas carries a profound historical context and contains potential for promoting rural revitalization. The important challenge it faces is how to effectively connect the protection of intangible cultural heritage with the strategy of rural revitalization, activate the vitality of intangible cultural heritage, and transform it from a "protected heritage" to a "developable resource". As a national intangible cultural heritage, the Bagongshan tofu production technique in Huainan, Anhui is a representative cultural identity and characteristic industrial resource in northern Anhui. The current status of its inheritance, development bottlenecks, and future prospects provide highly representative local samples for observing and researching this topic. Based on existing literature, relevant data collection, and field visits, this article aims to comprehensively understand the actual situation of Huainan tofu production technology, clarify its core values, face its practical difficulties, and explore innovative paths for the deep integration of intangible cultural heritage and rural revitalization. Optimize the rural revitalization system where it is located, provide and improve feasible plans, and provide examples for the development of similar areas.
Research on the Impact of Digital Finance on Green Economic Efficiency
This paper uses the super-efficiency SBM model to measure the green economic efficiency of 30 provinces (municipalities directly under the central government or autonomous regions) in China. By constructing a spatial Durbin model with time-fixed effects, it analyzes the impact of digital finance on the development of green economic efficiency. The results show that: there are significant regional disparities and obvious spatial dependence between digital finance and green economic development; the impact of digital finance on green economic efficiency presents a U-shaped curve.
Supply Chain Finance and New Quality Productive Forces: Evidence from Chinese A-Share Listed Firms
The upgrading of productivity driven by innovation, green transformation, and digitalisation has become a central concern in the pursuit of high-quality economic development. Against this background, this study investigates whether and how supply chain finance promotes firms’ new quality productive forces. The results show that supply chain finance significantly enhances firms’ new quality productive forces, and this finding remains robust across multiple specifications. Mechanism analysis indicates that alleviating financing constraints, improving operational efficiency are key channels through which supply chain finance promotes productivity upgrading. Further analysis reveals that the positive effect of supply chain finance is more pronounced for small and medium-sized enterprises, private firms, and firms located in central and western regions.
Analysis of Costco’s Business Model and Its Entry to Chinese Market
This paper examines Costco's strategic practices in entering the Chinese market against the backdrop of globalization. Using the SWOT model, the analysis highlights its robust financial strength, unique membership-based culture, and employee relations advantages, while also pointing out its over-reliance on the North American market. In the Chinese market, its value-for-money positioning has successfully attracted rationality-conscious younger consumers, though it must contend with intense competition from rivals such as Sam’s Club. Furthermore, through the PLOC management functions framework, the paper elaborates on how Costco adapts and executes its core business model locally via planning, organizing, leading, and controlling. The study concludes that, despite facing complex localization challenges, Costco holds promising prospects in the Chinese market, owing to its strong membership system and precise middle-class positioning.
A Study on Data Asset Valuation in the Power Industry
With the deepening development of the digital economy and the accelerated implementation of the “Dual Carbon” strategy, unlocking the value of data assets in the power industry has become a critical intersection point for energy transition and market-based allocation of production factors. This paper takes the China Southern Power Grid as its research object and systematically explores the evaluation framework and practical pathways for data assets in the power industry. Building on a clear understanding of the intrinsic characteristics of power data assets, we develop a dual-model evaluation approach that combines the "multi-period excess earnings method" with the "modified market approach. Our study finds that power data assets exhibit three key characteristics—complementarity, timeliness, and externality—which make it challenging for traditional valuation methods to effectively capture their full value composition. The multi-period excess earnings method, by isolating the contribution of other assets, enables a more precise measurement of the independent value of data assets, while the modified market approach provides a viable alternative when comparable transactions are unavailable. Using typical data products such as the China Southern Power Grid’s “Power Loan” as validation cases, this paper quantifies and evaluates the value of these data assets. Based on our evaluation practice, we also propose strategic recommendations for the development of data assets in the power industry, providing both theoretical support and practical guidance for advancing the market-based allocation of power data resources.
Mechanism Analysis Based on an Extended TAM: How Advanced Technology Drives the Strategic Upgrade of Enterprise Products
Traditional telecom operators have a lot of problems in their daily operations and need new technologies to support organizational transformation. This paper presents a qualitative case study approach to analyze the office automation system applied at China Telecom. With a new extended Technology Acceptance Model, this research finds out three main ways in which influencing factors can affect the user’s perceptions on effectiveness and efficiency through adopting the technologies, thus increasing the intention to adopt, as well as facilitating organizational change initiatives. Our results add to knowledge on digital innovation in organizations, providing also practical implications for communication service providers.
Research Progress on the Effectiveness Evaluation of Digital Transformation in Manufacturing Enterprises
Under the macro context of the Industry 4.0 wave and the "Made in China 2025" strategy, digital transformation has become an imperative path for the high-quality development of manufacturing enterprises. Focusing on the core issue of evaluating the effectiveness of digital transformation in manufacturing enterprises, this paper first elucidates the connotation and theoretical basis of digital transformation. Subsequently, it analyzes four major transformation paths: production digitalization, management digitalization, business model innovation, and organizational capability building. Based on this, a comprehensive effectiveness evaluation framework covering four dimensions—strategy, technology, organization, and benefit—is constructed. It is proposed that the effectiveness evaluation of digital transformation in manufacturing enterprises should adhere to systems thinking, emphasize the organic integration of process and results, and account for dynamic evolution characteristics. The findings of this study can provide a theoretical foundation and decision-making reference for manufacturing enterprises to implement effectiveness evaluation of digital transformation.
Construction of Enterprise Operational Resilience for Sustainable Development: Data Perspective and Practical Implications
Under the multiple backgrounds of global geopolitical conflicts, supply chain fluctuations and the deepening of the "dual carbon goals", the coordinated promotion of enterprise operational resilience and sustainable development has become the key to survival and development. As a new production factor, data provides technical support and practical pathways for the deep integration of the two. From the perspective of data, this paper analyzes the internal relationship between enterprise operational resilience and sustainable development, reveals the core logic of data-driven resilience construction, combs the practical directions such as supply chain collaboration, production optimization, and ecological linkage, analyzes the practical obstacles such as data silos, compliance costs, and talent gaps, and extracts implications from the real practice of the industry. Research shows that data-lifecycle management can effectively improve enterprise risk resistance and resource utilization efficiency, provide feasible solutions for enterprises to achieve the dual goals of "risk resistance" and "green transition or green development", and provide references for the transformation of enterprises of different sizes and industries.
Analysis of the Impact of User Experience-based Instant Feedback Systems on Trust Building
With the continuous expansion of digital interaction scenarios and the growing popularity of online services, instant feedback systems have become the core carrier for optimizing user experience and building user trust. Based on the five elements theory of user experience and the core mechanism of trust building, this article integrates empirical data and practical cases from multiple fields including education, e-commerce and healthcare, and systematically analyzes the mechanism of instant feedback systems influencing user experience from the core dimensions of response timeliness, information quality and interaction form, as well as the internal logic and transmission path of such systems' impact on trust building. This study finds that high-quality instant feedback systems can improve user trust by more than 40%, and the integrity of feedback loops and information transparency are the key factors affecting this effect. The conclusions of this study provide practical solutions for digital products to optimize user experience and maintain long-term user trust through instant feedback systems, and also offer solid empirical support for cross-scenario trust building research in related fields.
Research on the Practice Path of Digital Marketing from the Perspective of Consumer Behavior Changes
The continuous iteration of digital technology and the popularization of technologies such as 5G and artificial intelligence have driven structural changes in consumer behavior, and traditional marketing models are no longer suitable for the decision-making logic of the new consumer era. Based on the public data of China Internet Network Information Center (CNNIC), iResearch Consulting and other authoritative organizations, this paper systematically analyzes the characteristics and driving forces of consumer behavior change in the digital context, focusing on content adaptation, channel collaboration, experience optimization and data compliance dimensions, building a digital marketing practice path that conforms to the law of behavior change, and verifying the feasibility of the path with real business cases in multiple industries. Research has found that the socialization, rationalization, and personalization of consumer behavior have forced digital marketing to shift from "traffic harvesting" to "value resonance". This study can provide ideas for solving the pain points of high customer acquisition costs and low conversion efficiency in enterprises, and help promote the high-quality development of the digital marketing industry.
Mechanisms of Digital Financial Inclusion on New Quality Productivity in Agriculture
Digital financial inclusion is an important tool to promote new quality productivity in agriculture and a strong agricultural country. To investigate how digital inclusive finance empowers new quality productivity in agriculture. First, on the basis of theoretical analysis, the entropy value method is applied to measure the indicators of new agricultural productivity in 31 Chinese provinces excluding Hong Kong, Macao, and Taiwan from 2012 to 2023; Second, the fixed effect model, the mediation effect model and the threshold effect model are applied to study the paths and mechanisms of digital inclusive finance empowering agricultural new quality productivity. The study finds that digital inclusive finance significantly promotes the development of new quality productivity in agriculture. Heterogeneity analysis shows that digital financial inclusion has a facilitating effect on new agricultural productivity in the eastern, western, and northeastern regions, while it has a dampening effect in the central region. The mechanism analysis shows that digital inclusive finance empowers the development of agricultural new quality productivity by promoting the level of traditional financial development and the development of regional innovation capacity. The results of the threshold test indicate that there is a double threshold for digital financial inclusion and that it shows a marginal incremental boost to new quality productivity in agriculture. Accordingly, It is advisable to improve the construction of digital infrastructure and cultivate professionals; To promote the balanced development of digital inclusive finance in each region according to local conditions; To give full play to the complementary advantages of digital inclusive finance and traditional finance; And to strengthen regional technological innovation to release the potential of digital inclusive finance.
Research on Financial Flexibility, R&D Investment and Corporate Performance
Amid the global wave of globalization, innovation has become the core driving force for corporate development, with the strength of innovation capability serving as the decisive factor for enterprises to stand out. Based on uncertainty theory, financing constraint theory, and flexible portfolio theory, this paper employs empirical research methods to deeply analyze how financial flexibility impacts corporate performance, with a focus on the mediating role of R&D investment. The study selects A-share listed companies on the main board of the Shanghai and Shenzhen stock exchanges from 2019 to 2024, screening a total of 6,354 sample data. Through empirical research and analysis, the following conclusions are drawn: (1) Enterprises can enhance financial performance by improving financial flexibility; (2) Higher financial flexibility promotes corporate R&D investment activities; (3) R&D investment acts as a mediator between financial flexibility and corporate performance. Finally, the paper proposes relevant recommendations based on the experimental results.
Construction and Verification of a Scoring System for Chinese Export-Oriented Households/SMEs' Overseas Investment Decisions in Southeast Asian Countries
This study addresses the decision-making needs of Chinese export-oriented households and SMEs in their overseas expansion in Southeast Asia. A scoring system was constructed and verified through research. First, based on authoritative data sources such as the World Bank, the WGI (Global Governance Indicator), and the Doing Business Index, key dimensions such as political stability, production costs, and tariffs (for exports to Europe and the US) were selected to quantitatively assess and compare the scores of key Southeast Asian countries undergoing industrial relocation. Second, in-depth interviews were conducted with entrepreneurs with actual overseas export experience to cross-validate the effectiveness of the scoring system and analyze the consistency and differences between the actual decision-making focus of enterprises and the model indicators. The research results will help reveal the factors most valued by Chinese SMEs when choosing overseas locations and their degree of matching with the objective indicator system, thus providing quantitative support for enterprises to formulate overseas investment strategies.
A Study on the Geopolitical Risks and Countermeasures of Chinese Mining Enterprises' Expansion into Africa
Mineral resource security is crucial to national security and energy transition. Africa, with its abundant reserves of key minerals, has become a strategic location in the global mineral supply chain. In recent years, Chinese mining companies have leveraged the Belt and Road Initiative to increase their investment in African mining, gaining a significant development advantage. However, influenced by internal and external factors, geopolitical risks continue to rise. This paper analyzes the three core risks faced by Chinese mining companies venturing into Africa: rising economic nationalism leading to policy tightening, political instability in Africa causing a deterioration in the investment environment, and intensified competition among major powers impacting cooperation. Based on practical cases, it proposes targeted countermeasures and suggestions from three dimensions: mitigating nationalist sentiments, responding to political changes, and enhancing competitive advantages, providing a reference for Chinese mining companies to avoid risks and achieve sustainable development.
The Dilemmas and Coping Strategies of Disabled People Becoming Ride-Hailing Drivers in China under the Platform Economy Background
With the rapid development of the platform economy, the ride-hailing industry has ushered in a booming wave, which has provided new opportunities for promoting employment for disabled people. Currently, many disabled people in China have gradually participated in the ride-hailing industry and achieved effective employment. However, in reality, disabled people in China still face certain employment difficulties as ride-hailing drivers, mainly manifested in low public awareness of relevant regulations, implicit discrimination against disabled people, and intense competition in the ride-hailing industry. To effectively break this predicament, the Chinese government should increase publicity on relevant regulations, address implicit employment discrimination, and increase preferential support for disabled ride-hailing drivers, thereby effectively solving the employment difficulties faced by disabled people as ride-hailing drivers in China.
Data-Driven Mobile Network User Satisfaction Analysis: An Optimization Method Based on Multi-Model Fusion
With the rapid development of mobile communication technology, improving user satisfaction has become a core focus for mobile network operators. In an era of ubiquitous connectivity and homogeneous services, understanding and enhancing user experience is crucial for maintaining competitive advantages. Traditional methods to improve user satisfaction, such as responding to complaints and resolving specific issues, have become insufficient with the expansion of user bases and the diversification of mobile services. This study proposes a data-driven approach to analyze the factors influencing mobile user satisfaction in Beijing, focusing on voice and internet services. We combine feature engineering, decision tree models, and ensemble learning techniques to predict and quantify user satisfaction. Specifically, we use the CART (Classification and Regression Tree) model to extract feature importance, and integrate Random Forest and XGBoost models to further improve prediction accuracy through hyperparameter optimization and model fusion. This method combines structured data with unstructured text data, including user descriptions and service notes, to deeply explore the core factors of user experience. Experimental results show that multi-model fusion significantly improves prediction accuracy, with factors such as GPRS traffic, monthly usage, and network issues identified as the main drivers affecting user satisfaction. This study provides valuable insights for mobile network operators to optimize services and enhance customer experience. Additionally, the proposed method can be extended to other regions and applied to multiple industries where customer satisfaction is critical.
Online Health Care Consumerism of Shanghai College Students
With the rapid development of e-commerce, online consumption is increasingly popular as an emerging way of consumption. As the main group of online consumption, college students have become the most important part of Internet consumption, but the existing problems among them are also becoming increasingly prominent.This paper analyzes the problems in college students, especially physical and mental health, and proposes corresponding countermeasures. It mainly includes the analysis of the current situation of college students' online consumption, the existing problems and reasons, combined with e-commerce, marketing, psychology and other aspects of the content. Shanghai is one of the most developed cities in China, so the problems of college students in Shanghai in online shopping will be more representative and obvious, which will serve as a warning. Through the analysis of Shanghai college students' online consumption behavior and psychological performance, this paper understands individual differences and group characteristics, and puts forward corresponding countermeasures according to relevant theories, so as to guide college students to consume rationally and healthily.
State Evaluation of HVDC Core Equipment Based on BP Neural Network
The damage of core power equipment will cause serious losses to the power grid, and the evaluation and diagnosis of power equipment status can effectively avoid the economic loss of the power grid. In this paper, combining the operating characteristics of the DC transmission system and the impact of related core equipment on the stability of the system, the set value iteration method and BP neural network are used to determine the time-varying weight of the evaluation index of the core equipment of the DC transmission. Ideal samples and negative ideal samples, calculate the gray correlation degree between each sample and the positive and negative ideal samples and calculate the closeness of the core equipment status to realize the real-time status evaluation of the core equipment. Finally, take the voltage source converter as an example to establish an evaluation index system for real-time evaluation of equipment status.
Optimization of Tax Business Environment and Breakthrough in Enterprises' Key Technologies
At present, China's economy has shifted from a high-speed growth stage to a high-quality development stage. The achievement of breakthroughs in key technologies by enterprises is not only related to the improvement of their own core competitiveness, but also a strategic fulcrum for building a modern industrial system and consolidating the foundation of national security and development. Based on the data of A-share listed companies from 2015 to 2023, this paper takes the pilot policy of tax "streamlining administration, optimizing services and delegating power" as a quasi-natural experiment, constructs a multi-period difference-in-differences model, and conducts empirical analysis to examine the impact and mechanism of the optimization of the tax business environment on enterprises' breakthroughs in key technologies. The above conclusions reveal the economic benefits brought by the optimization of the tax business environment, and provide empirical evidence and useful enlightenment for China to continuously promote and deepen the optimization of the tax business environment and advance high-quality economic development.
Optimization of tax business environment
Enterprises' key technology breakthroughs