Does Algorithmic Recommendation Weaken Consumers' Original Preferences? -- An Economic Analysis Based on Information Constraints

Qiyue Zhang

pp.1-14 DOI: 10.62051/j428y528

Abstract: The paper explores the topic of whether algorithmic recommendation systems radically change the preferences of consumers by constraining information. We construct a theoretical model of search costs, dynamic learning and endogenous preference formation, in which algorithms act as information intermediaries that selectively filter information about available options in a systematic manner. On the basis of extensive e-commerce purchases records of 35,874 purchases made by 1,000 participants over a … Read More

Research on Defi Lending Forecasting based on GRA and Rolling GM(1,N) Model

Zhongping Huang

pp.15-25 DOI: 10.62051/j6sq6347

Abstract: This paper investigates the short-term dynamics of decentralised lending conditions on Aave, a leading DeFi pooled lending protocol whose rapid TVL growth has made its variable interest-rate mechanism systemically relevant for on-chain investors and risk managers. In contrast to traditional fixed-income markets, DeFi interest rates are endogenously determined by pool utilisation and are observed over relatively short and highly volatile time series, which poses challenges for conventional … Read More

The Impact of Cultural Differences among Multinational Enterprises on Management Communication Efficiency from the Perspective of Hofstede's Cultural Dimension

Xieyan Xia

pp.26-34 DOI: 10.62051/ctge7q79

Abstract: Based on Hofstede's cultural dimension theory, this paper delves into the impact of cultural differences in multinational corporations on the efficiency of internal management communication within organizations. Due to the accelerated process of globalization, the obstacles encountered by multinational corporations in terms of culture are becoming increasingly obvious. The differences in the six cultural dimensions of power distance, uncertainty avoidance, individualism versus collectivism, … Read More

Theoretical Reconstruction Research on Data Element Pricing Mechanism in Digital Platform Economy

Leer Zhao

pp.35-42 DOI: 10.62051/0d687p94

Abstract: The in-depth development of the digital economy has made the importance of data, a key production factor, increasingly prominent, and quantification of data value and reasonable pricing are core matters in the development of the platform economy. Based on the particularity of the digital platform economy, this paper systematically explores the theoretical basis and practical difficulties of the data element pricing mechanism. The research shows that traditional economic pricing theories have … Read More

Green bonds and Supply Chain stability

Zifang Gong

pp.43-63 DOI: 10.62051/kv4tmq46

Abstract: Against the backdrop of the continuous improvement of the green financial system and the growing demand for supply chain stability, this study takes Chinese A-share listed companies from 2014 to 2022 as the research sample. It systematically explores the impact of green bond issuance on firms’ supply chain stability and its underlying mechanisms using multiple empirical methods, including the staggered difference-in-differences (Staggered DID), instrumental variable two-stage least squares … Read More

BIM-Driven Optimization of Collaborative Cost Budgeting in Prefabricated Building Supply Chains

Huanhuan Wen

pp.64-71 DOI: 10.62051/62ee0h87

Abstract: Amidst the digital transformation of the construction industry, prefabricated buildings are gaining prominence as a pivotal strategy for achieving low-carbon goals and enhancing construction efficiency. However, the industry faces significant challenges, primarily low supply chain collaboration efficiency and inaccurate cost budgeting, which impede its broader adoption and effectiveness. In traditional models, data is fragmented across the design, production, and logistics phases, which not only … Read More

Supply Chain and Logistics Optimization Strategy of Fresh Agricultural Products in the Internet Era

Yihan Li

pp.72-76 DOI: 10.62051/nssas111

Abstract: This study investigates logistics and retail optimization strategies for fresh agricultural products in the internet era, establishing an efficient and sustainable digital supply chain system. Based on the systematic summary of previous research and cases, this paper points out the problems in the current supply chain operation system of fresh agricultural products and proposes solutions. Through literature review, case studies, quantitative analysis, and system simulation, it examines existing … Read More

The Mutual Feedback Mechanism and Collaborative Management of Green Cost Allocation and Bullwhip Effect

Hanruiyan Jin, Junyan Li, Mingjie Wang

pp.77-82 DOI: 10.62051/3aee4562

Abstract: Against the backdrop of the "dual carbon" goals in China and the rising threshold for green trade, how to reasonably allocate the incremental costs generated by the greening of the supply chain among the upstream and downstream has become a key factor affecting operational stability and collaborative performance. This study takes green cost allocation and the bullwhip effect as its theme, sorts out the causes of the bullwhip effect and its amplification mechanism in the green transformation, and … Read More

Comparative Analysis of Standardized Warehouses and Traditional Manual Warehouses

Qiyu Ding

pp.83-88 DOI: 10.62051/pgenbf75

Abstract: In the current systems of supply lines where the smooth execution of warehousing and sorting processes is the focus of operation as the decisive means to carry out a logistic system efficiently. As the development and penetration of e-commerce "Double 11" shopping festival, the management of other logistics is more challenging due to the unprecedented surge of orders. Traditional manual warehouse will need a great amount of labour to undertake picking and sorting labour, and will rely on … Read More

Analysis of Research Progress on Inventory Optimization in Green Supply Chain

Ziyi Pei, Lai Qian

pp.89-96 DOI: 10.62051/b9dyqq66

Abstract: Against the backdrop of the "dual carbon" strategy and global sustainable development goals, optimizing green supply chain inventory has gradually become an important research topic in both academia and industry. This article provides a systematic review and overview of relevant research in the past five years. Research has found that traditional inventory optimization models have gradually expanded from a single cost minimization objective to simultaneously consider multidimensional objectives … Read More

Trust Mechanisms in Amazon’s Supply Chain

Jiajun Li

pp.97-101 DOI: 10.62051/v82amt98

Abstract: Drawing on social capital theory, this study explores the trust mechanisms within Amazon's supply chain, focusing on the significant impact of information sharing and relationship governance on collaborative efficiency. In a globalized economy, supply chain networks are becoming increasingly complex, involving multinational suppliers, logistics networks, and multi-tiered distribution systems. Trust has become a core driver of stable and efficient collaboration. Using Amazon as a case study, this … Read More

An Analysis of the Impact of Artificial Intelligence Technology on Supply Chains

Zhangyue Shi

pp.102-105 DOI: 10.62051/jxfk3s60

Abstract: Significant developments in artificial intelligence (AI) research in recent years have made people increasingly aware of its transformative impact on society. With the rapid development of AI, its applications are expanding across various fields. AI technology is now being increasingly used in supply chains, which can significantly improve their efficiency and performance. AI can not only accurately match the resource supply and demand in various links of the supply chain, but also dynamically … Read More

Cost-Benefit Optimization of Packaging in the Green Transformation of E-commerce Logistics: A Case Study of JD.com

Peiqi Bai, Yatong Shi, Jiaqi Wang

pp.106-111 DOI: 10.62051/11zn4787

Abstract: The green transition of e-commerce logistics is a pivotal pathway to sustainable development. In practice, however, enterprises face the dual challenges of high initial investment and low short-term returns. Using JD Logistics as a case study, this research focuses on sustainable packaging to explore strategies for balancing environmental goals with cost–benefit considerations. The findings suggest that although green packaging requires substantial initial expenditure, enterprises can achieve … Read More

Opportunities and Challenges Faced by Financial Accounting in the Era of Big Data

Zehua Weng

pp.112-117 DOI: 10.62051/edzfpt09

Abstract: Advanced technologies such as big data are driving the transformation and upgrading of various industries and fields. Their application in the financial accounting sector can improve data processing efficiency and financial analysis capabilities, but also faces challenges such as data security, a shortage of talent, and an imperfect policy system. At the same time, big data technology is also a key focus for improving the financial accounting system. This requires adhering to the principle of … Read More

Time-Varying Spillovers among Carbon, Oil, and Stock Market Volatility: Evidence from a TVP-VAR-DY Framework

Yaqin Liu

pp.118-136 DOI: 10.62051/v15fhe94

Abstract: Against the backdrop of global climate governance and increasing financial market integration, understanding the dynamic risk transmission among carbon, energy, and financial markets has become increasingly important. This paper investigates the time-varying volatility spillovers among the international carbon market, the crude oil market, and the Chinese and U.S. stock markets by distinguishing between good and bad volatility. Using monthly data from January 2008 to November 2024 and employing … Read More

Digital Skinner Box: Research on the Interaction Mechanism between Gambler's Fallacy and Availability Heuristic in Labubu Blind Box Consumption in the Algorithmic Era

Yijin Chen

pp.137-143 DOI: 10.62051/m743wp75

Abstract: Labubu's blind box products have continued to move away from their original categorical product properties as toys. Instead, they have become highly volatile financial assets. Conventional consumer psychology perspectives are unable to explain this phenomenon. This study uses neuroeconomics, probability theory, and algorithmic communication studies to assist in integrating various areas of study. Data penetrating the surface shows that the "variable ratio reinforcement" design of blind boxes is … Read More

A Review of the Impact of Performance-based Compensation on Organizational Citizenship Behavior

Shiying Liu

pp.144-154 DOI: 10.62051/2qr1v372

Abstract: This study focuses on the influence of performance-based compensation on organizational citizenship behavior. By reviewing relevant literature, the concepts of performance-based compensation and organizational citizenship behavior are clarified, and the roles of the organic integration theory, social exchange theory, and equity theory in explaining the relationship between the two are expounded. Empirical research has found that performance-based compensation has positive or negative impacts on … Read More

Out-of-Sample Forecasting of the CSI 300 Index: AR versus Machine Learning Models

Qi Qin

pp.155-166 DOI: 10.62051/7pgzdg13

Abstract: This study examines the out-of-sample predictability of daily returns of the CSI 300 Index by comparing a linear autoregressive (AR) benchmark with several machine learning models within a unified rolling forecasting framework. Using one-step-ahead forecasts, we evaluate predictive performance in terms of loss-based measures, directional accuracy, and statistical significance. The results show that machine learning models generally outperform the AR benchmark in terms of mean squared prediction … Read More

The Impact of Institutional Investor Holdings on Short-Term Debt Financing for Long-Term Use in Listed Companies

Wenhui Wu

pp.167-183 DOI: 10.62051/9c67w221

Abstract: Reasonable investment and financing arrangements are a crucial prerequisite for the high-quality development of listed companies. However, Chinese listed companies exhibit the phenomenon of short-term debt financing for long-term use. Institutional investors can mitigate this practice by participating in corporate governance. This study examines the impact of institutional investor holdings on short-term debt financing for long-term use among Chinese A-share listed companies on the Shanghai and … Read More

ESG Performance and Systemic Risk: Evidence from Listed Commercial Banks

Ling Zhang

pp.184-191 DOI: 10.62051/gdnbqs36

Abstract: Against the backdrop of the goals to achieve carbon peak by 2030 and carbon neutrality by 2060, the Environmental, Social, and Governance (ESG) concept aligns with the requirements of China‘s sustainable development. Favorable ESG performance by banks is of great significance for the advancement of green finance in China. Concurrently, risk prevention is a perpetual theme in China’s financial industry. Therefore, utilizing quarterly panel data of 36 listed banks in China from 2009 to 2023, this … Read More

Digital Trade and the Enhancement of National Export Competitiveness— Evidence from Cross-Country Panel Data

Longzhen Zheng

pp.192-197 DOI: 10.62051/c32gse40

Abstract: The rise of digital trade has triggered profound changes in the pattern of international trade interest distribution and exerted multiple complex impacts on the enhancement of a country's competitiveness. Based on cross-country panel data of 37 countries from 2000 to 2020, this paper empirically studies the impact of digital trade on the improvement of national export competitiveness. The research conclusions show that digital trade significantly enhances a country's export competitiveness, and … Read More

The Multifactor Time-Varying Effects of Risk Shocks on Foreign Exchange Reserves

Wu Yi

pp.198-206 DOI: 10.62051/np0yp325

Abstract: This paper employs the TVP-SV-VAR model to analyze the time-varying characteristics of China's foreign exchange reserve changes from the perspectives of interest rates, exchange rates, and inflation, with a focus on four critical periods. The findings reveal that the positive impact of the federal funds rate on foreign exchange reserves is more pronounced in the medium to long term, while the negative impact is more significant in the short term. During the 2008 financial crisis, the impulse … Read More

Explore the per capita GDP gap between China and developed countries

Na Li

pp.207-212 DOI: 10.62051/98xv0a80

Abstract: With the status of China in the world and the continuous growth of China's GDP, we can see a problem: in the developed countries, the per capita GDP is high, the price level is high; In developing countries, the per capita GDP is not high, the price level is low; In view of the gap between China and developed countries, the annual wage gap between Chinese taxi drivers and American taxi drivers is further explored. By exploring why there is such a big gap between China and developed countries, … Read More

Digital Twin-Driven Optimization of Production Projects in the Plastics Manufacturing Industry: Efficiency Enhancement and Economic Benefit Assessment

Yifei Wang

pp.213-220 DOI: 10.62051/s1fpxz31

Abstract: Traditional production models in the plastics manufacturing industry face challenges such as lagging process control and frequent quality fluctuations. This paper proposes an optimization solution based on digital twin technology, establishing a technical framework encompassing IoT data collection, high-fidelity modeling, process simulation, and big data analytics to achieve precise control over production processes. By reconstructing and optimizing workflows, a closed-loop management mechanism … Read More

How Fintech is Reshaping Investment Decision-Making Processes at Asset Management Companies

Yanjie Wang

pp.221-228 DOI: 10.62051/4fdayz35

Abstract: The global asset management industry's digital transformation trend is driving the deep application of fintech in investment decision-making processes. This paper explores the technological pathways through which fintech is reshaping investment decisions, analyzing the innovative application of core technologies such as big data and artificial intelligence in the decision-making phase. Research indicates that technological restructuring significantly enhances decision accuracy and operational … Read More