All of the articles in this proceedings volume have been presented at the 4th International Conference on Bigdata Blockchain and Economy Management (ICBBEM 2025) during March 14-16, 2025 in Wuhan, China. These articles have been peer reviewed by the members of the Scientific Committees and reviewers...

Facing the national “double carbon” goal, the company and the new stage of development faces major historical task, the new power system construction will drive the emerging investment and market model change, the company management development lean control faces new pattern and new challenges, optimize...

For power grid engineering projects, the project consists of a number of projects to clear a certain amount of engineering, the completion of the project involves a series of different categories of costs, the existing technology of these categories are usually defined as labor costs, mechanical equipment...

With the dynamic and stable development of the national economic form, the investment scale of power transmission and transformation projects is gradually increasing. In the process of power transmission and transformation project cost calculation and evaluation and settlement, there will be some controversial...

This paper examines the adoption of blockchain technology and the role of blockchain-enabled data empowerment in information sharing between two oligopolistic e-tailers. It analyzes three strategic scenarios: no use, single use, and dual use of blockchain technology for information verification. Findings...

In today’s global economy, characterized by technological advances and heightened uncertainty, businesses are increasingly reliant on strategic transformations to stay competitive. Startups, however, face unique challenges due to limited resources and their status as newcomers. This study explores the...

The health and fitness industry in the UK includes more than 7,200 clubs with a total membership of more than 10 million. However, the COVID-19 pandemic that swept the world in 2020 has had a major impact on the industry, with many gyms required to close due to policies. Despite the rapid growth of the...

From the perspective of geopolitical risks (GPR), this paper uses a single-factor GARCH-MIDAS model to examine its impact on the volatility of carbon emission rights prices (CERP) in Shenzhen, China. The in-sample fitting results show that when GPR increases, the volatility of CERP’s logarithmic returns...

This study examines credit risk in China’s new energy sector, which is critical for the country’s sustainable energy transition. While government policies have supported sector growth, they have also increased financial risks, particularly credit risk, due to untested business models and capital-intensive...

The next day’s closing cost of the S&P 500 indicator is used in this study’s forecasting. A particular neural network style is known as a Long Short-Term Memory (LSTM) system. It employs eleven voting machines, a healthy ensemble, and incorporates important business data, macroeconomic data, and...

This paper is based on the CiteSpace visual analysis technology. It selects 1,106 CNKI journal articles from 2006 to 2024 as samples. The research discovers that the studies on agricultural products cold chain logistics mainly revolve around the following aspects: First, “information traceability”, which...

This study investigates the influence of Artificial Intelligence (AI) implementation on corporate governance performance in both public and private entities in Saudi Arabia, following the strategic objectives of Saudi Vision 2030. Utilizing the Technology-Organization-Environment (TOE) framework, the...

The income effect of Mandarin proficiency on Thai labor force is analyzed by using questionnaire data. The study finds that: firstly, Mandarin proficiency has a significant positive impact on the income of Thai labor force, the effect of males on income is significantly higher than that of females, age...

Utilizing big data statistical analysis, through a comprehensive analysis of the main links of power grid engineering cost standard subject investment, the relevant factors affecting the input level are systematically sorted out. By applying the fuzzy threshold method, key influencing factors are discerned,...

Portfolio management is a decision-making process that aims to achieve optimal returns with minimal risk. In financial markets, assets are not independent but are interconnected through various complex relationships. These intricate relationships are detrimental to the diversification of portfolio risk....

While artificial intelligence has shown promise in recruitment, existing research lacks comprehensive empirical evidence comparing AI-powered and manual resume screening in real enterprise settings. This study addresses this gap through a novel controlled experiment using 1,000 technical position resumes...

The Belt and Road Initiative (BRI) presents a dual opportunity and challenge for participating countries, which possess abundant natural resources and considerable development potential. A critical challenge is the effective utilization of renewable energy resources. This study investigates the influence...

This study examines the impact of relationship quality (satisfaction, trust, commitment, and perceived value) on customer loyalty using data from Home Inn customers. Combining Structural Equation Modeling (SEM), Random Forest analysis, and SHAP value interpretations, the findings reveal that all four...

Recent advancements in machine learning, particularly deep learning, have transformed financial forecasting by addressing complex, non-linear, and non-stationary financial data. This study digs into the predictive capabilities of Long Short-Term Memory (LSTM) networks, focusing on the German DAX30 index...

Medical knowledge question and answer information system based on natural language interaction can not only improve the quality and efficiency of medical services, but also meet the growing demand for medical consultation. The purpose of this study is to design and implement a medical intelligent Question...

The conventional supply chain framework faces challenges such as uneven information distribution, distrust, and tracking difficulties. Blockchain technology provides a novel solution to these problems through its decentralized structure, tamper-resistant nature, and enhanced transparency. This study...

The digital transformation of China’s traditional manuf + acturing industry aims to achieve high-quality economic development and become an important part of manufacturing power. However, due to the old organizational structure and management concepts, the road to digital transformation for traditional...

In the context of accelerated economic globalization, retailers face heightened lead time uncertainty, complicating newsvendor decisions. This paper focuses on the newsvendor problem and deeply explores the impact of lead time uncertainty on the “Pull to Center” effect. By modeling lead time with a normal...

In the contemporary economic landscape characterized by variability, complexity, and ambiguity, SMEs face the dual challenges of high mortality rates and low growth rates. Consequently, enhancing the resilience of SMEs has become an urgent priority. The rapid development of digital inclusive finance...

This study conducts experiments simulating different lead times (with delivery probabilities of 80% and 98%) and profit conditions (high and low) to explore their impact on newsvendors’ ordering decisions and demand chasing behavior. By collecting and analyzing relevant data, we fit the demand coefficient....

This article focuses on the effects of artificial intelligence on manufacturing enterprises, aiming to explore the influence of AI technology application on the performance of publicly listed manufacturing companies and the underlying mechanisms. The research utilizes data from Chinese A-share listed...

With the advancement of globalization and digitalization, cross-border e-commerce livestream commerce, as a prevalent shopping modality, is fundamentally reshaping consumer purchasing behaviors. The insufficient emotional resonance between cross-border e-commerce hosts and consumers, as well as the occurrence...

With the acceleration of the global manufacturing industry’s intelligent transformation, the industrial robot industry has become an important engine for promoting high-quality regional economic development. This paper, based on a patent perspective and combining data from the Zhihuiya patent database,...

The sustained expansion of China’s economic infrastructure has precipitated a corresponding escalation in socioeconomic demand for electrical energy. As critical infrastructure underpinning national power distribution networks, the optimization of capital allocation and construction efficiency parameters...

The report to the 19th National Congress of the Communist Party of China manifestly upholds “strengthening support for flexible employment and new forms of employment and safeguarding the rights and interests of informal employment workers,” providing avenues for the development of labor relations in...

This article uses interpretative structural modeling method to analyze the influencing factors of rural tourism development in Ling-bi County, Suzhou City for the first time, in order to provide reference and guidance for rural tourism development and tourism poverty alleviation in Anhui Province and...

With the release of chatGPT by OpenAI on November 30, 2022, the topic of artificial intelligence has once again become a global hotspot. AIGC (Artificial Intelligence Generated Content), as one of the contents of artificial intelligence, has begun to be widely used in all walks of life. As a frontier...

This paper investigates the varied impact of regional digital transformation on local economic growth, focusing on industry-specific adaptability. The growth of digital technologies and regional disparities in digitalization and industrial structures lead to different economic outcomes. Drawing on theories...

In order to make full use of big data technology and realize digital transformation, China’s publishing enterprises have increased their R&D investment. Taking Chinese A-share listed companies in the publishing industry as the target, an OLS regression model is used to empirically examine the impact...

The Northeast region of China has witnessed significant economic growth and improved farmer incomes following poverty alleviation strategies. This economic shift has increased the demand for medical services. However, disparities in healthcare services between urban and rural areas have led to inefficient...

With the acceleration of the digitalization process, data sharing has become an important driving force to promote the development of various industries. However, organizations or departments involved in data sharing usually belong to different trust domains, and the differences in trust domains have...

Due to the increasing geopolitical risks, bulk commodity prices have experienced frequent and great fluctuation, which has aroused global concern. The dynamic effect of geopolitical risk on bulk commodity market is still under discussion. This paper clarifies the impact mechanism of geopolitical risks...

This study look into the impact of digital technology innovation on the firm’s sustainable growth based on China’s A-share listed companies. The empirical results show a significant positive relationship between digital technology innovation and the firm’s sustainable growth. The mechanism tests indicate...

This study examines the spatiotemporal heterogeneity of decarbonization pathways across China’s four major regions (2000–2020) by integrating LSTM forecasting with spatial econometric analysis. Utilizing panel data, three-dimensional visualization, and machine learning, we quantify regional disparities...

As a significant technological innovation, blockchain technology has garnered considerable attention in the supply chain industry. To gain a deeper understanding of the mechanism by which blockchain impacts supply chain performance, this study constructs a mediated moderation effect model based on data...

Conversational artificial intelligence (AI) is gradually becoming an essential tool in people’s lives. This study uses experimental methods to explore the impact of speech interaction and text interaction on users’ perceived ease of use of conversational AI, the mediating role of anthropomorphism, and...

The accelerating progression of global climate governance, coupled with the further advancement of China’s “dual-carbon” strategy, has led to the evolution of green finance into a pivotal policy instrument. The integration of environmental oversight and economic progress through this lens has consequently...

Based on the cigarette consumption panel data of 2,592 counties (cities and districts) in China from 2020 to 2023, the article empirically examines the impact and mechanism of economic fluctuations on cigarette consumption. The results of the study show that economic fluctuations have a promotional effect...

Artificial Intelligence (AI) has emerged as a key enabler in digital economic transformation, driving industrial innovation through novel business paradigms. This study analyzes 584 global enterprises (2001–2020) using an AI R&D intensity framework to reveal firm-level growth dynamics. Findings indicate...

High-quality development is of great significance for leading economic development in the new era. This paper takes Chinese manufacturing listed companies from 2012 to 2021 as a sample, constructs a high-quality development evaluation index system for manufacturing enterprises based on six dimensions:...

While most studies apply large language models (LLMs) to financial sentiment analysis, this research explores a prompt-based approach using LLMs, including Deepseek, Gemma, LLaMA, and Qwen, to estimate stock price percentage changes, also known as simple returns. The models are evaluated on a custom...

The aim of this study is to explore the differences in permanent migration of rural labor in China with and without rural education subsidies. This paper focuses on the permanent migration of rural labor in China and constructs the educational investment assistance model to analyze the mechanism of influence...

This study employs a two-way fixed effects model to systematically investigate the impact mechanisms and heterogeneity characteristics of ESG performance on corporate value among Chinese A-share energy-sector listed firms (2009–2022). The results demonstrate that energy enterprises’ ESG performance exerts...

This paper proposes an adaptive risk control deep Q network (ARC-DQN) model based on deep reinforcement learning, focusing on the optimization of futures and foreign exchange trading strategies. The model introduces risk compensation factors and adaptive weight adjustment mechanisms to incorporate the...

This paper proposes a hand 3D keypoint estimation application system based on graph neural networks (GNN), providing an intuitive visualization solution for fields like virtual reality, gesture control, and medical rehabilitation. The system takes a single RGB image as input, employs a two-stage model...

Under the background of global economic integration and financial market deepening, stock price forecasting has become a hot spot in the financial field. Traditional methods struggle to accurately predict stock prices affected by complex factors. This study explores the application of LSTM and xLSTM...