Economics & Business Management ISSN Print: 3079-5214 ISSN Online: 3079-5222
The internal logic and external environment of China's resilient economic development
Based on China's macroeconomic data from 1993 to 2022, this paper selects core variables such as GDP, total capital formation, number of employed people, total retail sales of consumer goods and total import and export volume, and uses STATA software to construct a multiple regression model to empirically analyze the key factors influencing China's economic growth. Combined with the re-gression results, this paper deeply explores its economic implications and puts forward policy suggestions to promote the sustainable development of China's economy.
Resilient Development of China's Economy
Copyright (c) 2025 by author(s) and Erytis Publishing Limited. https://creativecommons.org/licenses/by-sa/4.0
Exploring the connotation and development of ethical responsibility in engineering practice
With the rapid development of technology, the impact of engineering activ-ities on society is increasingly significant, requiring engineers to consider the overall social interests in their engineering practices. Therefore, the ethical re-sponsibility of engineers has become an important topic. This paper explores the connotation and development of ethical responsibility in engineering practice and analyzes its practical application. Using literature review and case study as research methods, the paper examines the specific connotation and coping strategies of ethical responsibility in engineering practice by reviewing relevant literature and real cases. It concludes that ethical responsibility in engineering practice includes compliance with laws and regulations, respect for human rights and social justice, pursuit of technological and professional excellence, emphasis on sustainable development and environmental protection, as well as enhancing transparency and honesty. The development of ethical responsibility requires strengthening engineering ethics education and focusing on interna-tional communication and cooperation under the influence of globalization. By adhering to ethical responsibility, engineering practice can promote harmoni-ous social development, protect the environment, and foster sustainable devel-opment, demonstrating the importance of the continuous development of ethi-cal responsibility in engineering practice.
Research on Construction Quality of Shengtian Road Government Affordable Housing Project in Chenghua District
Construction quality is an important reflection of an enterprise's reputation and technical level, and it is directly related to the safety of people's lives and property. The continued use of traditional technologies in China's construction projects has led to issues such as construction period and manpower problems, causing quality and safety hazards. Therefore, strengthening engineering quality management is of great significance for the development of the industry. This paper takes the Shengtian Road Government Affordable Housing Project in Chenghua District as the research object. The study finds that the project has quality problems such as concrete shrinkage cracks, uneven settlement, and concrete freezing. The causes include insufficient consideration of temperature difference and shrinkage characteristics in design specifications, defects in building layout, influence of foundation soil characteristics, improper foundation design and construction, as well as the lack of maintenance and thermal insulation measures during construction. Aiming at these problems, specific improvement measures are proposed, and process management strategies such as improving the quality control system, strengthening personnel training, and promoting collaborative supervision by multiple stakeholders are emphasized, providing references for quality management in the construction industry.
The critical role of service remediation strategies in the modern service industry
In today’s fiercely competitive business landscape, companies are increasingly aware that high - quality service recovery strategies are vital for preserving customer satisfaction and loyalty. As customer expectations of services contin-ue to rise, there is a corresponding decline in their tolerance for service failures. Effective service recovery extends beyond merely correcting individual service failures; it represents a long - term approach to customer relationship manage-ment and brand reputation protection. Against the backdrop of the booming e - commerce sector, courier services, as an emerging service domain, have drawn extensive attention from both academic and industry circles regarding the effec-tiveness of their service recovery efforts. This study delves into the effectiveness of service recovery strategies. It examines the implementation of recovery measures across different service sectors and their subsequent impact on cus-tomer satisfaction and loyalty.
When Scent Meets Space: How Perfume Installation Art Disrupts Traditional Marketing
In the era of the experience economy, traditional perfume marketing strategies are facing significant limitations. This article focuses on the intersection of perfume and installation art, exploring how immersive spatial experiences can reconstruct consumer sensory memory and brand perception. Based on sensory marketing theory and the experiential marketing model proposed by Pine and Gilmore, and supported by case studies from brands like Dior and Maison Margiela, the article analyzes how scent can be translated into a perceptible and shareable brand language within a space. With an analysis of social media data and consumer response surveys from installation-based marketing events, the article argues that “scented spaces” significantly enhance emotional resonance, user engagement, and brand differentiation. This provides key insights for future sensory-driven brand strategies.
Measurement of the Development Level of New Productivity in Sichuan Province
New-quality productive forces are characterized by the leap in the optimization of the combination of laborers, means of production, and objects of labor, with the core feature being a significant improvement in total factor productivity. The article constructs an evaluation index system for new-quality productive forces and applies the entropy-weighted TOPSIS method to assess the 18 prefec-ture-level cities in Sichuan Province from 2016 to 2021. The results show that the new-quality productive forces of all prefecture-level cities generally exhibit an upward trend, but there was a slight decline in 2020. An analysis of the pri-mary indicators of new-quality productivity reveals that the levels of techno-logical productivity, green productivity, and digital productivity in Sichuan Province's prefecture-level cities showed an overall upward trend from 2016 to 2021. To enhance Sichuan Province's new-quality productivity, strategies such as strengthening regional collaboration to promote balanced development, in-creasing efforts to guide the development of new-quality productivity, and re-adjusting the three key indicators constituting new-quality productivity can be employed to optimize the development path of new-quality productivity in Sichuan Province.
Research on the Distribution and Trends of Domestic Low-Carbon Logistics Based on Citespace
The logistics industry is one of the major contributors to carbon emissions. Low-carbon logistics is crucial for achieving the goals of "carbon peak" and "carbon neutrality". This article employs bibliometric analysis, utilizing Excel and CiteSpace software, to analyze 964 Chinese academic journal articles on low-carbon logistics published on the China National Knowledge Infrastructure (CNKI) database between 2008 and 2024. The study investigates publication volume trends, core authors and institutions,high-frequency keywords, keyword clustering, and the evolution of research within the low-carbon logistics field.The research findings indicate that studies on low-carbon logistics have undergone a shift from macro-level to micro-level explorations, and from localized to systemic perspectives. The results demonstrate that, with the advancement of technologies such as artificial intelligence and big data, digital logistics has emerged as a new research hotspot. Furthermore, decarbonization and systematization of logistics activities represent significant future research directions.
Research on the Optimization and Upgrading of the Industrial Chain of Zhanjiang Diving Enterprises from the Perspective of Cultural and Tourism Integration
Against the backdrop of the cultural and tourism integration emerging as a crucial trend in the tourism industry's development, this paper focuses on the optimization and upgrading of the industrial chain of diving enterprises in Zhanjiang. By integrating theories such as industrial clusters, green development, and ecological industrial chains, and drawing on the practical experiences of cultural and tourism integration in multiple regions across the country, a research framework of "current situation analysis - problem diagnosis - path optimization" is constructed. The study reveals that although the industrial chain of diving enterprises in Zhanjiang has advantages in resource endowment and policy support, it also has issues such as an imperfect structure and insufficient innovation capabilities. By introducing the coupling coordination degree model and the industrial ecosystem theory, specific strategies centered around the "diving +" multi - integration concept are proposed, with an emphasis on strengthening policy support, technological empowerment, and talent cultivation, aiming to provide theoretical and practical references for the high - quality development of the regional diving industry.
Research on Strategies for Cultivating New Quality Productive Forces to Promote High-Quality Development in Xianning, China
This paper explores strategies for cultivating new quality productive forces to drive high-quality development in Xianning, a key city in the Wuhan metropoli-tan area. Using a mixed-methods approach, it analyzes Xianning’s economic structure, innovation capabilities, ecological endowments, and development bottlenecks through theoretical framework construction and empirical data from 2018–2023. The study identifies challenges such as unbalanced industrial structures, insufficient R&D investment, and spatial disparities in innovation resources. It highlights opportunities in ecological value conversion (e.g., car-bon sink projects) and regional collaboration (e.g., "R&D in Wuhan, manufac-turing in surrounding areas"). The research proposes a three-dimensional strat-egy focusing on technological innovation-driven industrial upgrading, factor allocation reforms, and institutional mechanism innovations. Empirical results show that while Xianning’s green transformation ranks third in Hubei Province, its digital penetration and integrated innovation capabilities still lag behind provincial averages. The study concludes that strengthening indus-try-academia-research collaboration and optimizing ecological compensation mechanisms are critical for sustainable development
Research on Optimization of Logistics Ordering and Crowdsourcing Delivery Models in the Digital Context: A Case Study of Dingdong Maicai Fresh Food Platform
Fresh products are characterized by perishability, seasonality, and susceptibility to spoilage, making them highly sensitive to time and environmental factors, which often leads to safety risks during circulation. Although distribution models centered around chain supermarkets have flourished in China, significant safety concerns persist. At present, the transportation and delivery of fresh foods in China primarily rely on room-temperature logistics, resulting in substantial product losses during these processes. Therefore, key issues include how to reduce spoilage rates in logistics and distribution, ensure product freshness, and explore methods to optimize logistics ordering and crowdsourced delivery models. This study focuses on the logistics and distribution models of fresh products, taking Dingdong Maicai as a case study. By analyzing its current logistics framework and leveraging digital technologies such as big data, smart logistics, and artificial intelligence, the research aims to enhance supply chain efficiency, refine crowdsourced delivery systems, and propose practical recommendations and optimization strategies for its logistics model.
Research on the Collaborative Path of Low-Carbon Transformation and High-Quality Development of Sichuan Enterprises under the "Dual Carbon" Goals
Under the constraints of the "dual carbon" goals, the research on the collaborative path of enterprises' low-carbon transformation and high-quality development is of great strategic significance for improving the quality and efficiency of regional economy. Taking Sichuan enterprises as samples, this paper focuses on the transformation practices of high-energy-consuming industries, illustrating the importance of enterprise transformation. It analyzes the current situation and challenges of enterprises' low-carbon transformation, and proposes corresponding action plans and implementation schemes. Using qualitative and quantitative research tools, this paper systematically discusses the driving mechanisms and path choices of enterprises' low-carbon transformation by analyzing the carbon emission data of Sichuan enterprises, evaluates their degree of low-carbon transformation, and aims to provide theoretical support and practical guidance for Sichuan enterprises to achieve low-carbon transformation and high-quality development.
The application framework of artificial intelligence in the field of open data
With the rapid development of information technology in China, the open data movement is flourishing, and artificial intelligence technology is playing an in-creasingly important role in the field of open data. With the rapid development of information technology in China, the open data movement is flourishing, and artificial intelligence technology is playing an increasingly important role in the field of open data. The deep integration of artificial intelligence technology and open data has brought unprecedented opportunities and challenges to various fields. The field of open data, analyze in detail its application scenarios, content, and presentation forms, and explore how the two can work together to provide better public services for the public, provide better governance solutions for social progress, create more favorable conditions for economic development, and better empower technological innovation. Through multi domain analysis, sort out application patterns, content, and forms, summarize problems, and propose strategies. Through multi domain analysis, sort out application pat-terns, content, and forms, summarize problems, and propose strategies. Cur-rently, the application framework constructed by the integration of artificial intelligence and open data has demonstrated effectiveness in multiple fields, but it still faces many serious challenges. However, by implementing a series of re-sponse strategies such as strengthening data governance and optimizing algo-rithms, obstacles can be effectively overcome, and the enormous advantages and However, by implementing a series of response strategies such as strengthening data governance and optimizing algorithms, obstacles can be effectively over-come, and the enormous advantages and value generated by the synergy be-tween the two can be continuously stimulated. Comprehensively sorting out applications, providing guidance for technology integration and ecological op-timization, and promoting the process of digital transformation.
Research on Green and Low Carbon Integrated Development of Agriculture and Tourism in Yibin City under Rural Revitalization
Promoting the green and low-carbon integrated development of agriculture and tourism is an inevitable requirement for implementing the rural revitalization strategy, and has practical significance in promoting rural ecological, industrial, and cultural revitalization. Through on-site investigation of the current situation of green and low-carbon integrated development of agriculture and tourism in Yibin City, it was found that the main problems of green and low-carbon integrated development of agriculture and tourism in Yibin City are inadequate ecological environment protection, relatively extensive development mode, lack of innovation in tourism products, and lack of consensus on low-carbon collaborative governance. To address the above issues, optimization measures should be taken from five dimensions: institutional supply, technological innovation, product development, industrial linkage, and collaborative governance, in order to enhance the quality and efficiency of the green and low-carbon integrated development of agriculture and tourism in Yibin City.
Research on the Green Financial System and the Development of the Energy Industry under the Background of Carbon Peaking and Carbon Neutrality
Against the background of the "carbon peaking and carbon neutrality" goals, the development of the green financial system and the energy industry has become an important driving force for achieving the low - carbon economic transformation and sustainable development. By analyzing the green financial policy system, market status quo, and the trend of energy industry transformation, this paper studies the problems currently encountered by green finance in the transformation of the energy industry. On this basis, it explores how green finance can promote the energy industry to transform and upgrade towards environmental protection and low - carbon, aiming to provide references for policymakers and enterprises. The research shows that green finance has played a positive role in supporting the development of the new energy industry, optimizing the energy structure, and promoting technological innovation. However, it still faces many challenges. It is necessary to further optimize the policy system, expand the capital - gathering effect of green finance, optimize the investment - guiding effect, and promote the scientific and technological innovation effect of green finance.
Background of Carbon Peaking and Carbon Neutrality
The Impact of the "Two-Pillar" Proposal for Cross-Border Taxation of the Digital Economy and China's Response
With the rapid development of the digital economy, the issue of cross-border corporate taxation has become increasingly prominent worldwide, making international tax allocation a critical topic in global taxation governance.This paper begins by examining the genesis of the Two-Pillar Solution, then provides an in-depth analysis of the impacts of OECD's new international tax rules under the digital economy framework. Building on this foundation, it systematically evaluates the differential effects of the Two-Pillar Solution on both developed and developing economies.By identifying challenges Chinese enterprises face in cross-border transactions and drawing comparative lessons from implementation measures adopted by other jurisdictions, the study proposes targeted policy recommendations for China. The findings aim to provide valuable references and insights for addressing cross-border taxation challenges in China's digital economy development.
Research on the influencing factors of inter provincial urban-rural residents' consumption upgrading in China
This article aims to explore the evolutionary characteristics and influencing factors of the consumption structure of urban and rural residents across provinces in China. Based on inter provincial consumption data of urban and rural residents, this article analyzes the demand elasticity of eight major categories of consumption among residents, and examines the impact of factors such as urbanization rate and elderly dependency ratio on consumption upgrading. The study found that urbanization rate is a key factor driving the growth of consumption expenditure. This article provides empirical evidence for understanding the changes in the consumption structure of urban and rural residents in China, and provides reference for formulating relevant policies.
Population Aging and Labor Income Share: Theoretical Mechanisms and Cross-Country Evidence
Against the backdrop of intensifying global population aging and its increasingly prominent multi-faceted impacts on economic and social development, this paper comprehensively employs theoretical analysis and empirical research methods to conduct an in-depth investigation into the concept of labor income share and its influencing factors. Focusing on variables such as technological progress, labor market supply-demand dynamics, and human capital, it explores the relationship between population aging and labor income share. The research finds that population aging affects labor income share by altering labor market supply-demand relationships. Simultaneously, through technological progress and human capital accumulation, aging also exerts indirect influences on labor income share. Furthermore, due to differences in economic structures across countries and regions, the impact of population aging on labor income share demonstrates significant heterogeneity. These research outcomes provide important theoretical and practical references for addressing labor income distribution issues in the context of population aging.
Research on the Influence Mechanism and Optimization Path of Flexible Retirement System on Fiscal Revenue and Expenditure
Against the backdrop of intensified global population aging, the flexible retirement system, as an important policy tool to address changes in labor market structure and challenges of fiscal sustainability, has increasingly become the focus of academic research and policy-making regarding its impact on fiscal revenue and expenditure. Based on the realistic context of population aging and fiscal pressure in China, this study systematically explores the action mechanism and impact effects of the flexible retirement system on fiscal revenue and expenditure by comprehensively using methods such as literature research, empirical analysis, and comparative studies. The research finds that the flexible retirement system affects fiscal revenue and expenditure through dual channels of the pension effect and labor market effect. It can alleviate the fiscal pension burden by extending the payment period and shortening the pension payment period, and enhance fiscal revenue capacity by increasing labor supply and expanding the tax base. However, the heterogeneity characteristics of different industries and regions are significant, and the perfection degree of system design and supporting measures directly affects policy effects. Finally, the study proposes policy suggestions from three dimensions: refined system design, coordination of fiscal policies, and optimization of supporting measures, providing theoretical and practical references for achieving the benign interaction between the flexible retirement system and fiscal sustainable development.
Design of Intelligent Allocation System for Medical Equipment Based on Internet of Things Technology in Multi hospital Mode
With the continuous development of modern hospitals, the multi-district management mode of one hospital has become the norm, which has greatly increased the operating costs of hospitals and brought many challenges to the management of medical equipment, especially the emergency allocation of medical equipment. This paper designs an intelligent and self-service medical equipment allocation system based on the Internet of Things, focusing on the short-term rental needs of medical equipment. It aims to reduce the human cost of medical equipment in hospitals, reduce the cost of purchasing medical equipment, avoid repeated purchase and idleness of professional equipment, significantly improve work efficiency, realize self-help borrowing, increase humanistic care for clinical users, realize lean management of medical equipment under multi-hospital mode, and promote high-quality development of hospitals.
The Impact of Marketing Channel Changes on Brand Loyalty in the Digital Era
With the rapid development of information technology, the wave of digitalization has profoundly changed the marketing landscape. Traditional marketing channels are facing challenges, and emerging digital marketing channels such as search engine marketing, social media marketing, content marketing, email marketing, and short video and live streaming marketing have become an important way for enterprises to build their brands and connect with consumers by virtue of their precise, interactive and efficient features. The purpose of this paper is to discuss the types and characteristics of marketing channels in the digital era, and to analyze the measurements and influencing factors of brand loyalty and its new changes in the context of digitalization. On this basis, it focuses on analyzing the influence mechanism of digital marketing channels on brand loyalty, including enhancing brand awareness, promoting emotional connection, improving purchase convenience and realizing precision marketing. Finally, combining theoretical analysis and practical insights, we put forward strategic suggestions such as optimizing digital marketing channel combinations, strengthening brand-consumer interactions, improving the quality of digital marketing content, and utilizing data-driven marketing decision-making, with a view to providing theoretical references and practical guidance for enterprises to enhance brand loyalty in the digital era.
A review of the literature on emotional labor based on CiteSpace visualization
Emotional labor plays a crucial role in modern service industries, serving as the core factor driving customer satisfaction, employee well-being, and long-term corporate competitiveness. While research on emotional labor has made some progress, issues such as vague research subjects, lack of generalizable situational analysis, fragmented findings, and insufficient systematic organization remain. This paper selects two widely representative databases, Web of Science (WOS), to systematically review and conduct bibliometric analysis of 2,392target doc-uments using CiteSpace software. It reconstructs the literature from both cogni-tive regulation and affective management perspectives, revealing the current state of research on emotional labor. The study finds that the antecedents of emotional labor involve four dimensions: individual, organizational, customer, and socio-cultural. Its outcomes have profound impacts on employees, organi-zations, and customers. The research on emotional labor presents three levels of exploration: dimensions, specific manifestations, and situational contexts. After reviewing the outcome variables and influencing factors at each level, it inte-grates an integrated analysis framework for emotional labor, explores its dy-namic evolution and feedback loop mechanisms, and summarizes the short-comings of existing research. Based on this, it discusses future research direc-tions. This paper approaches from the dual perspectives of cognitive regulation and emotion management, revealing research blind spots through Citespace visualization. By employing multi-level research threads such as keyword clus-tering, co-occurrence analysis, and time series analysis, it systematically re-views previously scattered related studies, providing scientific evidence for management. This promotes employee well-being and organizational develop-ment, offers pathways for theoretical integration and practical optimization.
The Impact of the EU Carbon Border Adjustment Mechanism on China’s Automotive Product Export Trade
With the growing global emphasis on energy conservation and emissions reduction, countries and regions such as the United States, the European Union (EU), and Japan have enacted legislation to implement carbon tariffs. As a developing nation, China bears significant responsibilities in carbon taxation. The automotive industry, a pillar of China’s national economy, has long been a cornerstone of foreign trade exports. However, as a representative of the manufacturing sector, it is also a major contributor to carbon emissions. The implementation of the EU’s Carbon Border Adjustment Mechanism (CBAM) is expected to intensify challenges for China’s automotive exports, particularly for components predominantly exported to developed regions like the EU and the U.S. A review of existing literature on CBAM reveals a scarcity of research on its specific impacts on automotive manufacturing exports and a lack of methodological diversity. This study employs the Multi-Regional Input-Output (MRIO) model to calculate carbon emissions in the automotive industry and utilizes the Global Trade Analysis Project (GTAP) model to simulate dynamic impacts on domestic production and exports. The findings aim to propose strategies for reconciling the stable growth of China’s automotive manufacturing sector with emissions reduction goals.
EU Carbon Border Adjustment Mechanism (CBAM)
Research on the Application of AGV in the Smart Logistics Field
Against the backdrop of the logistics industry undergoing transformation and upgrading led by technology, Automated Guided Vehicles (AGVs), as key equip-ment in smart logistics, have a profound impact on improving logistics efficien-cy and service quality. This paper deeply explores the application background and current development status of AGVs in the smart logistics field, combs the classification and comparison of AGVs based on navigation technologies and functional forms, and clarifies the technical adaptability of AGVs in different application scenarios. The article details how AGVs address challenges in the logistics industry such as labor costs, efficiency improvement, and safety issues, and provides a forward-looking analysis of the development trends of AGVs in the future, including intelligence, green energy applications, and technology integration. The aim is to provide useful references for in-depth research and application of AGVs in the smart logistics field.
The impact of ESG performance of heavily polluting enterprises on new quality productivity
This paper selects 1454 listed heavy-polluting enterprises from 2009 to 2023 as a sample to empirically investigate the impact of corporate ESG performance on new-quality productivity. The results show that improving corporate ESG per-formance has a positive effect on enhancing the level of new-quality productiv-ity. Mechanism analysis indicates that the shareholding ratio of institutional investors plays a mediating role between the two. Heterogeneity analysis re-veals that the improvement of corporate ESG performance has a more significant effect on new-quality productivity in large-scale enterprises, industries with weak competitiveness, and enterprises with a higher proportion of female man-agement. The findings provide a new perspective for the antecedent research of new-quality productivity and offer empirical evidence for enhancing corporate ESG performance.
Copyright (c) 2025 https://creativecommons.org/licenses/by-sa/4.0
Few-Shot Joint Extraction of Entity-Relation Triples in the Domain of Ancient Chinese Medical Texts
Entity–relation extraction aims to identify structured triples from unstructured text. However, most existing models are evaluated on large, densely annotated corpora; when applied to vertical domains with scarce labeled data, fully super-vised models tend to generalize poorly. Existing few-shot learning approaches often simplify the triple extraction task into relation classification with known entities, or overlook the common real-world scenario where a sentence con-tains multiple triples. To address these challenges, this paper focuses on ancient Chinese medicine texts and proposes a multi-granularity fused prototype net-work. The model fully integrates semantic information between relations and entities during prototype construction to enhance the discriminability among different prototypes. A pointer network is further employed to enable the ex-traction of multiple triples from a single text. Experiments on a self-constructed dataset of ancient Chinese medicine texts demonstrate the effectiveness of the proposed approach.
Research on the Development Dilemmas and Breakthrough Paths of Independent Design Brands in Wenzhou
This paper focuses on the development status of independent design brands in Wenzhou, deeply analyzes the dilemmas they face, covering aspects such as market recognition, consumer purchasing power, policy support, industrial chain, talent, and exhibition resources. By integrating relevant data and materials from 2021 to 2025, it reveals the root causes of the problems and puts forward targeted development suggestions. The aim is to provide theoretical and practical guidance for Wenzhou's independent design brands to break through development bottlenecks, promote the upgrading of Wenzhou's fashion industry, and shape a modern and fashionable urban image.
Verification of Dynamic Advertising Traffic Allocation Strategy Based on Multi arm Slot Machine
With the rapid development of the Internet advertising market, advertisers have dramatically increased their demands for real-time accuracy. Traditional static allocation strategies have slow feedback and low exploration efficiency, while existing dynamic solutions still face problems such as complex calcula-tions and long cold start times. Therefore, this article proposes a lightweight dynamic allocation strategy based on the multi arm slot machine (MAB) framework. This strategy transforms advertising selection modeling into a seri-alized decision-making problem, providing real-time feedback to optimize long-term returns. The Thompson Sampling algorithm is used to introduce a time decay factor to address user interest drift. The experiment used Criteo's real advertising exposure datasets to compare five multi arm slot machine algo-rithms. The results showed that the Thompson Sampling algorithm with attenu-ation factor (TS Decay) performed excellently in terms of cumulative click through rate, convergence steps, and handling interest drift. In real data verifi-cation, the click through rate (CTR) reached 6.9%, which is better than other algorithms. This strategy combines Bayesian inference and time decay models to provide a framework for real-time decision-making in lightweight scenarios, helping to optimize the real-time performance of advertising delivery systems.
The impact of ecological values on the consumer behavior of young Indonesian consumers
Young consumers, particularly millennials and generation z, have become the main force in the global consumer market, expected to account for over 50% of the global consumer population by 2025. They value personalization, digitaliza-tion, and socialization, while also showing a high level of concern for environ-mental protection and sustainable development. They are more inclined to choose eco-friendly products and support sustainable brands, and their con-sumer behavior is reshaping the global market landscape. Therefore, researching the ecological values and consumer behavior of young consumers is of signifi-cant value for businesses in formulating marketing strategies and promoting sustainable development. Based on the theory of planned behavior, this article collected 256 valid ques-tionnaires and used spss 27.0 software to verify data validity through reliability analysis and confirmatory factor analysis. Direct and mediating effects were constructed to explore the impact of ecological values on the green consumer behavior of young Indonesian consumers. The research conclusions are as fol-lows: 1. Impact of ecological values on green consumer behavior: The total ef-fect of ecological values on green consumer behavior is positive, and the direct path is significant, supporting hypothesis h1. 2. Chained mediating effect: Eco-logical values indirectly influence green consumer behavior through consumer attitudes, subjective norm, and perceived behavioral control, supporting hy-potheses h2, h2a, h2b, and h2c, manifesting as a complex chained mediating ef-fect. 3. Influence of mediating effects: (1) The three chained mediating paths—ecological values → consumer attitude → green consumer behavior, ecologi-cal values → subjective norm → green consumer behavior, and ecological values → perceived behavioral control → green consumer behavior—are all significant. (2) The perceived behavioral control effect accounts for the largest proportion (28.88%), followed by the subjective norm effect (25.56%), and the consumer attitude effect is the smallest (18.57%). Enhancing perceived behav-ioral control levels and increasing the prevalence of subjective norm can effec-tively stimulate green consumer behavior among young Indonesian consumers.