Volume 7, Issue 2

Research on the Category Planning of Daily Necessities Merchants on Flash Sale Instant Retail Platforms

Abstract: Based on the background of instant consumption demand, this paper constructs a merchant category planning model of a flash sale instant retail platform. According to the development of the three stages of the emergence period, the accelerated growth period and the slow growth period, from the two aspects of the penetration of consumers' immediate demand and the degree of merchant participation, the category planning model of daily necessities in different stages of development of the instant retail market is constructed with the goal of maximizing the profit of daily necessities merchants, and the impact of the platform's subsidies to consumers, the platform's subsidies to merchants, and the commissions given by merchants to the platform on the development of daily necessities in the instant retail market are numerically analyzed. It has been inspired by the management that businesses should gradually broaden the application scenarios of daily necessities and meet the diversified needs of consumers. Read More

Green Human Resource Management and Employee Efficiency: The Mediating Role of Employee Motivation in Emerging Small Businesses in Nanjing, China

Abstract: This study investigates the relationship between Green Human Resource Management [1] (GHRM) and employee efficiency, with a focus on the mediating role of employee motivation in emerging small businesses in Nanjing, China. Using a quantitative approach, data were collected from 357 employees through structured questionnaires and analyzed via SPSS 24.0. Results reveal that while GHRM [2, 3] positively influences employee motivation, it does not significantly mediate the relationship between GHRM and employee training participation or overall efficiency. Additionally, teamwork and training, though positively associated with GHRM, fail to mediate the GHRM-efficiency link. The study highlights the need for strategic alignment of GHRM practices with operational goals and proposes a framework (GreenEdge360) to enhance employee efficiency through integrated sustainability initiatives. Read More

Research on the Regional Development Index of China's Low-altitude Economy Based on the Entropy Weight Method

Abstract: At present, the low-altitude economy, as a strategic emerging industry, serves as a pivotal driver of economic growth, technological innovation, and social service enhancement. In order to better assess the development of the low-altitude economy in different regions of China, this paper proposes a low-altitude economic development index based on the entropy weight method. First, following the principles of scientificity, systematicness and practicality, a 3X3 pyramid-shaped evaluation system is constructed; Then, the data will be preprocessed using the box plot method and the supplementary method; Finally, the entropy weight method was used to calculate the results of the low-altitude economic development index for different regions. The results showed that provinces in the eastern coastal region scored high, while those in the central and western regions lagged behind. The method can provide more targeted advice for policy-making and industrial development. Read More

Case Study on Company H's Key Talent Identification System

Abstract: This case study provides an in-depth analysis of Company H's core talent selection mechanism, identifying three critical issues and proposing a three-pronged optimization strategy for building a scientific talent pool. Tailored development plans are formulated according to the characteristics and growth requirements of talents at different levels, enabling dynamic person-position alignment and enhancing overall talent competitiveness. The framework not only addresses current talent bottlenecks but also establishes a practical paradigm for upgrading talent mechanisms in traditional manufacturers. It further illustrates the approach to achieving sustainable corporate development and enhancing competitive advantage through scientific talent management strategies. Read More

Study on the Adaptive Innovation Path of Labor Value Theory under the Perspective of New Quality Productive Forces

Abstract: New quality productive forces not only represent an innovation and development of general productivity theory but also pose challenges to the adaptive innovation of Marxist labor value theory in the context of current economic and social development. By reviewing the labor value theory and analyzing the current status of economic and social development, this paper identifies theoretical challenges to the labor value theory, including the diversification of labor forms, the complexity of value creation and evaluation mechanisms, the fairness of value distribution, as well as ethics and sustainability. It proposes adaptive innovation paths for the labor value theory under the conditions of new quality productive forces, providing a new perspective for understanding the theoretical and practical adaptability of labor value theory in the new economic environment. This has significant reference value for guiding policy-making, enterprise development, and social equity. Read More

Exploration on the Path of Digital Intelligence Transformation Empowering Enterprise's Statistical Modernization Reform

Abstract: The rapid development of digital technology obviously marks the coming of a new wave of scientific and technological revolution, which brings great convenience and severe challenges to the statistical management of enterprises. How to show the leading position of digital intelligence technology in the statistical information architecture has become the focus of industry attention. Generally speaking, as an important link in the whole industrial chain, the modernization reform of natural gas upstream enterprises' statistical work is of great significance for improving management level, optimizing resource allocation and promoting the sustainable development of the industry. The purpose of this paper is to discuss the present situation of the statistical modernization reform of upstream natural gas enterprises, analyze its current challenges, and put forward corresponding countermeasures and suggestions in order to provide reference for the statistical reform of upstream natural gas enterprises in China. Read More

Literature Review on Extreme Precipitation Events and Their Population and Economic Exposure in Xinjiang Uygur Autonomous Region

Abstract: In recent years, with the gradual acceleration of global warming, the water cycle has intensified, leading to frequent extreme weather events such as rainstorms and high-temperature heatwaves. Among them, the occurrence of extreme precipitation events has caused huge losses to human life, property, and socio-economic development. This paper reviews the definitions of extreme precipitation events and exposure, studies on extreme precipitation events at different regional scales at home and abroad, studies on exposure, and the research status at home and abroad on the threshold of extreme precipitation events, the selection of extreme precipitation indicators and exposure indicators. It is found that there are still deficiencies in the selection and division of spatiotemporal scale indicators for extreme precipitation events and in the comprehensive research on exposure. On this basis, the spatiotemporal distribution law of extreme precipitation events and the research prospects of exposure are prospected. Read More

A Study on Tourism Marketing Strategies in the Era of New Media: A case of Luoyang

Abstract: As the ancient capital of thirteen dynasties, Luoyang has rich tourism resources. In recent years, Luoyang has done a lot of work to improve the city's visibility and has attracted many tourists, achieving good results. As a new form of media, new media provides new ideas and opportunities for tourism marketing. Tourist cities or enterprises can enhance their tourism visibility through new media forms such as Weibo, WeChat, short videos, and live streaming. By analyzing Luoyang's marketing strategies on new media platforms, this paper evaluates the impact of these strategies on enhancing Luoyang's tourism brand awareness, influencing tourists' behavior, and bringing economic benefits. At the same time, it also analyzes the shortcomings of Luoyang tourism marketing, such as single form of promotion and insufficiently distinctive IP creation. In view of the problems, the paper proposes suggestions such as optimizing marketing strategies and strengthening technological innovation, in order to provide reference for tourism marketing in Luoyang. Read More

Users' Acceptance of Using Social Media in Tourism -- A Case Study of RedNote

Abstract: Social media has been growing rapidly in recent years. In China, RedNote plays an increasingly important role in development of hospitality and tourism. This study draws on the research results of previous scholars, integrates trust factors and technology acceptance models, collects 323 valid questionnaire, to study RedNote users' acceptance of applying it in tourism, and conducts a comparative study of respondents in groups. Research indicates that perceived usefulness, perceived ease of use and trust have positive impact on attitude toward using RedNote. Attitude toward using RedNote has a positive impact on users' intention. Read More

The Internal Logic and Impact Path of Empowering High-Quality Agricultural Development with Digital New Quality Productivity

Abstract: Abstract: Against the backdrop of accelerating the construction of a new development pattern and continuously promoting high-quality agricultural development, the organic integration of digital new quality productivity with agricultural development, rural construction, and farmers' lives can release the inclusive effect, resource allocation effect, and income increasing effect of digital technology innovation, which can promote the optimization and upgrading of agricultural structure and is of great significance for promoting high-quality agricultural development. This article constructs a comprehensive evaluation index system for the development of digital new quality productivity based on the criteria of "laborers, labor objects, and labor materials"; Based on the panel data of the provincial innovation index report from 2011 to 2022, using "scientific and technological innovation" as the mediating variable, a fixed effects model and a reconstructed explanatory and dependent variable system GMM were used to test the robustness of the results. Furthermore, the mediating effects model was further used to explore the internal logic and impact path of digital new productivity empowering high-quality agricultural development. Research has found that in terms of impact, digital new quality productivity improves agricultural production efficiency and achieves high-quality development of agriculture. However, due to differences in economic development and innovation levels in different regions, their impact effects vary. Therefore, it is necessary to continuously leverage the role of digital new quality productivity in promoting high-quality agricultural development, use digital new quality production technology to promote comprehensive transformation of agriculture, promote the integration of agriculture with other industries, and form a new pattern of agricultural development. Read More

Revolutionizing Entrepreneurial Success: Integrating Sustainability, Succession, and Innovation with Corporate Governance

Abstract: This research delves into the integration of sustainable, successional, and innovative entrepreneurship within corporate governance frameworks. Through a synthesis of theoretical analysis and select case studies, this paper provides an in-depth analysis of how robust governance practices can foster environments that sustain business operations, stimulate innovation, and enable smooth leadership transitions. This paper offers strategic recommendations for entrepreneurs and governance bodies to align their efforts towards sustainable growth and societal impact. By illuminating the intersection of these entrepreneurship strategies and governance, we aim to contribute to the ongoing discourse on how businesses can leverage governance frameworks to revolutionize their entrepreneurial pursuits in the modern era. Read More

Practices and Research on Enterprise Tax Risk Control in the Big Data Era

Abstract: In the context of rapid development in big data technology, enterprises face challenges such as surging data volumes and increased policy complexity in tax management. Traditional risk control methods struggle to meet real-time monitoring needs, making tax risk prevention a core issue in corporate financial management. By employing case analysis, questionnaire surveys, and data modeling techniques, combined with corporate tax data, a risk warning model based on machine learning is constructed. Big data technology significantly enhances the accuracy of tax risk identification, with invoice anomalies and imbalanced cost-expense matching being frequent risk points; the established risk control system can reduce the tax compliance costs for sample enterprises. Theoretically, this enriches cross-disciplinary research between big data and tax risk management, while practically providing decision-making references for optimizing corporate tax internal controls and precise regulatory oversight by tax authorities. Read More

Research on the Application of Computer Big Data Artificial Intelligence Technology in Financial Institutions' Digital Sensitivity Analysis Economic Risk Model

Abstract: This paper uses a risk factor model to construct a joint distribution of returns on major risk exposures of financial institutions. This paper also examines the sensitivity of the overall risk of the study to changes in the financial business portfolio and changes in risk correlations. The author mainly introduces VaR, ES and ARMA, the quantitative risk analysis methods widely recognized by the financial industry recently. A measure of the overall risk of a financial institution in terms of returns. At the same time, the sensitivity of different risk measurement tools to changes in financial business portfolio and changes in risk correlation. Read More

Research on the Practice Path and Performance Evaluation of Philips Green Supply Chain in the Netherlands

Abstract: Driven by the global sustainable development trend, the green supply chain has become the focus of manufacturing enterprise reform. Taking Philips Company of the Netherlands as an example, the green path structure is constructed, the technical measures and process control strategies of key nodes are analyzed, the performance evaluation index system is designed, and the effect of green operation is quantitatively analyzed by fuzzy comprehensive evaluation method. The results show that Philips has performed well in environmental performance and operational efficiency, and the path design is systematic and practical. This study provides method reference and case support for the construction and evaluation of green supply chains in multinational manufacturing enterprises. Read More

Optimization of Semi-Open Multi-Depot Vehicle Routing and Delivery Scheduling

Abstract: With the ongoing advancement of the "Internet Plus" initiative and the sharing economy, crowd-sourced delivery—a critical component of urban instant logistics—faces challenges such as high order heterogeneity and complex resource allocation. This study constructs a semi-open multi-depot scheduling model with dual objectives of minimizing delivery costs and maximizing customer satisfaction. The model systematically incorporates an order classification mechanism and a rider competency hierarchy, while integrating multiple real-world constraints including time windows, task load balancing, and route feasibility. To efficiently solve this NP-hard problem, we propose an improved genetic algorithm (IGA) featuring a dual-layer encoding structure. By introducing a coordinated optimization strategy for task assignment and route sequencing, the algorithm enhances solution stability and quality in complex scenarios. Numerical experiments based on real-world platform data demonstrate the superiority of the model and algorithm in scheduling efficiency, route optimization, and satisfaction improvement. This research provides both theoretical foundations and empirical evidence for intelligent scheduling in instant delivery platforms. Read More

Research on Optimization of Lianzhou Macrobrachium Rosenbergii Brand Packaging Design

Abstract: As a regional characteristic aquatic product, the brand packaging design of Lianzhou Macrobrachium rosenbergii plays a crucial role in strengthening brand recognition and market competitiveness. Against the backdrop of brand construction, this paper explores the design problems and optimization strategies of the current Lianzhou Macrobrachium rosenbergii brand packaging. By analyzing the current brand development status, combining consumer needs and regional cultural characteristics, the core objectives of packaging design optimization are proposed. Additionally, from dimensions such as brand recognition, aesthetics, and cultural connotations, the existing problems in packaging design are systematically evaluated, and optimization directions are clarified based on market research and mainstream design trends. The study shows that enhancing visual appeal, highlighting the regional characteristics of Lianzhou, and integrating ecological and environmental protection concepts are important ways to optimize packaging design. Meanwhile, the rational use of design elements such as colors, materials, and images can significantly enhance the brand image. The optimized packaging design not only helps promote product sales but also drives the brand construction of Lianzhou Macrobrachium rosenbergii and regional economic development, providing a demonstrative reference for the brand packaging design of regional characteristic agricultural and fishery products. Read More

Consumer Preferences for New Product Upgrading Methods: Based on Regulatory Focus Theory

Abstract: With the development of technology, the speed of product upgrades and replacements is getting faster and faster. Currently, there is not much research and discussion on which product upgrade methods are more favored by consumers. This article is based on the theory of regulatory focus and studies the attitudes of consumers with different regulatory focus types towards various product upgrade methods. Through a series of experimental studies, it has been found that prevention focused consumers prefer non-alignment upgrading and utilitarian benefit upgrade, while promotion focused consumers prefer alignment upgrading and hedonic benefit upgrades. Read More

How Did Temu Achieve Global Retail in A Short Period of Time?

Abstract: Temu has become a global retail platform with its centralized operation strategy and digital supply chain integration. This study explores how emerging cross-border e-commerce platforms like Temu achieve rapid international expansion. Through literature review, case study and comparative analysis with Amazon and SHEIN, this study reveals that Temu's low-price strategy, digital supply chain management and fulfillment model supported its rapid market entry. This study provides platform companies with ideas for going global and illustrates how digital supply chains can help emerging companies achieve globalization. Future research can explore consumer behavior and profitability to assess long-term sustainability. Read More

Research on Tourism Development Strategies for Geoparks from the Perspective of Cultural-Tourism Integration: A Case Study of Yunyang Longgang

Abstract: With the vigorous development of the tourism industry, geoparks, as a distinctive category of tourist destinations, have gained increasing popularity among visitors owing to their unique natural landscapes and scientific value. Yunyang Longgang National Geopark, characterized by its spectacular karst tiankengs, extensive solution cave systems, and distinctive natural ecosystems, has emerged as a focal point for domestic and international tourists. Taking Yunyang Longgang Geopark as a case study, this research employs the perspective of cultural-tourism integration to analyze its current tourism status, identify critical challenges, and propose development strategies encompassing: infrastructure enhancement, increased community engagement, strengthened management and conservation of the park, and enrichment of its cultural connotations. Read More

The Mechanism of Rural Homestead System Reform to Promote County Economic Growth Under the Background of Rural Revitalization

Abstract: As an important part of deepening the reform of rural land system, the reform of homestead system is of great significance to activate rural resource elements, promote the integration of urban and rural development and realize rural revitalization. Based on the practical experience of pilot areas such as Kunshan City in Jiangsu Province, Yujiang District in Jiangxi Province and Haiyan County in Zhejiang Province, this paper systematically analyzes the mechanism of homestead reform on rural economic growth in counties by using empirical methods, multi-period difference-in-differences model and other methods, based on the statistical panel data of many counties in China. By combing the theoretical basis and policy background of the homestead system reform, this paper analyzes its influence path on the key links of economic growth such as factor allocation and industrial development, and tests the actual impact of the homestead system reform on economic growth. It is found that the homestead reform significantly improves the level of rural economic development by clarifying property rights, promoting factor flow, promoting industrial upgrading and optimizing the allocation of urban and rural resources. The empirical results show that the average per capita disposable income of farmers in the pilot areas of reform has increased by 542.34 yuan, and the policy effect in the central and western regions is more significant; the improvement of credit level and the development of secondary and tertiary industries are the core intermediary paths for reform to promote economic growth. This paper puts forward some suggestions, such as improving the property right system, broadening the channels of factor flow, and strengthening policy coordination, so as to provide theoretical basis and practical reference for deepening the reform of homestead. Read More

Research on Green Innovation Efficiency Measurement and Influencing Factors of Listed Power Generation Enterprises in China

Abstract: Driven by the global transition to low-carbon energy and China's “dual carbon” goals, the power generation industry, as one of the main sources of resource consumption and carbon dioxide emissions, is facing an urgent need for green development. This paper takes A-share listed power generation enterprises from 2014 to 2023 as the research sample, measures green innovation efficiency based on the Data Envelopment Analysis (DEA) model, and identifies key influencing factors by combining a Tobit panel regression model. The study found that: (1) Green innovation efficiency (GIE) is generally low, with significant room for improvement, and shows a “W” pattern of decline followed by increase. Among these, pure technical efficiency (PTE) and scale efficiency (SE) are both at low levels, and there is significant heterogeneity among enterprises. (2) Among external factors, government subsidies have no significant impact, while market attention has a significant positive impact on green innovation efficiency through pure technical efficiency. Among internal factors, innovation level and capital intensity have a significant negative impact, while human resource level and enterprise scale have a significant positive impact, affecting green innovation efficiency through pure technical efficiency and scale efficiency, respectively. Read More
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