All of the articles in this proceedings volume have been presented at the 2025 5th International Conference on Business Administration and Data Science (BADS 2025) during November 7 to 9, 2025 in Xi’an, China. These articles have been peer reviewed by the members of the Scientific Committees and reviewers...

This study proposes a precision intelligent fertilization recommendation model by integrating multi-source agricultural big data and association analysis techniques. Focusing on tobacco cultivation scenarios in Shandong Province (2010-2020), the research synthesizes soil nutrient dynamics (2013-2019...

With the rapid expansion of probabilistic products in the consumer market, their unique decision uncertainty and emotionally stimulating properties provide new application scenarios for scarcity marketing strategies. However, existing research has yet to fully clarify the underlying psychological mechanisms...

With the rapid development of economic globalization, cross-border e-commerce enterprises face challenges brought by factors such as the diversity of the global market and the complexity of global supply chain distribution when expanding into overseas markets. These factors directly affect the judgment...

This study explores the integration of AI and digital finance, using bibliometrics to analyze 1,000 Web of Science core literatures (2015-2025). Key findings: Authors form symbiotic multi-disciplinary groups led by core scholars; Institutional practices show regional collaboration model differences,...

Since Prof. Schumpeter firstly gave the concept of creative disruption in the book Capitalism, Socialism and Democracy (1942) [18], entrepreneurship has been formally regarded as an independent branch of economics and business field (Tripathi et al., 2022) [8]. Four decades later, the inchoate entrepreneurship...

Performance management remains fragmented: governments stress accountability, firms rely on financial dashboards, and projects chase the iron triangle. We propose a single, testable framework that links strategy, process, and outcomes through clear feedback rules and reviews. It makes alignment visible...

Following the European Central Bank’s pilot launch of the digital euro in July 2021, the Stoxx 600 bank index declined while fintech stocks rose. This indicates that central bank statements on central bank digital currencies (CBDCs) have become another significant policy signal affecting asset prices,...

Under the new circumstances, fulfilling trust management responsibilities requires the support of big data in the refined development of trust business. However, this move increases the risk and probability of trustor information being leaked or exploited by trust companies. Currently, trust companies...

Engineering projects are often plagued by data silos: stakeholders’ systems operate in isolation, impeding interaction, coordination, and response. To break these barriers, we propose a data-coordination-driven architecture for an exchange-collaboration platform that integrates BIM and digital-engineering...

This study aims to explore the mutual influence between securities futures market investor sentiment and spot market investor sentiment, along with its underlying mechanisms. First, by establishing a VAR model, we find that investor sentiment in securities futures markets exerts a negative effect on...

With the advent of the big data era, the rapid advancement of information technology has profoundly transformed marketing models. In the context of intense market competition, enterprises increasingly rely on data analytics to gain deep insights into consumer behavior and to optimize the allocation of...

Traditional nuclear accident emergency training has limitations such as high risk, high cost, and limited scenarios. In contrast, virtual reality technology, with its immersive, interactive, and imaginative features, offers innovative solutions for nuclear accident emergency training. This article systematically...

Against the backdrop of the global energy transition and carbon neutrality goals, power enterprises face the critical challenge of aligning long-term strategic objectives with daily financial management. Traditional management models treat strategic and financial management as isolated systems, leading...

This study provides an extensive Environmental, Social, and Governance (ESG) analysis of Starbucks corporation, addressing the environmental sustainability of the company’s practices, the initiatives around social responsibility, and also its governance structure. Starbucks has shown leadership in environmental...

To explore the influencing factors of enterprise support intensity and the impact of key enterprises under the “Thousands of Enterprises Aiding Thousands of Towns” policy, this study examined 170 participating enterprises across 104 towns in Zhaoqing using multiple quantitative methods. Results showed:...

With the digital economy rapidly evolving, digital transformation now underpins corporate sustainability. With CSMAR data covering Chinese A-share firms from 2009 to 2023, this study provides empirical evidence on how digital transformation influences corporate social responsibility (CSR) and examine...

Probabilistic selling is a sales strategy that a seller hides the specific characteristics of a product to the consumer until the consumer make a purchase. Probabilistic selling is getting increasingly popular and can be seen in people’s daily lives frequently, and there are many studies about it. Previous...

Against the backdrop of escalating global climate change, climate risk has increasingly affected agricultural production. This study analyzes how climate risk influences insurance decisions of agricultural firms, using data from 304 Chinese agricultural enterprises between 2011 and 2022.The empirical...

Driven by the dual carbon goals, China has witnessed a rapid expansion of charging stations as critical supporting infrastructure for new energy vehicles. However, fire incidents caused by battery thermal runaway and electrical failures have exposed vulnerabilities in their fire safety protocols. To...

This paper investigates how cross-content synergies between licensed programs and platform-produced content (PPC) affect the optimal licensing contract structure in the online video supply chain. A sequential-move Stackelberg game is formulated, wherein a content studio sets quality and a platform determines...

Based on data from A-share listed companies spanning the period 2009–2023, this paper empirically examines the impact of corporate data factor utilization levels on high-quality development and its underlying mechanisms. The findings reveal that, amidst the vigorous expansion of the digital economy,...

Chinese manufacturing enterprises are currently facing challenges such as insufficient demand and even overcapacity, making it imperative to take measures to enhance their innovation capabilities. The innovative industrial cluster policy can promote the agglomeration of enterprises in pilot areas, thereby...

Amid accelerating global energy transitions and China’s national strategies for achieving “dual carbon” goals and building a science and technology powerhouse, provincial power grid enterprises are compelled to evolve into pivotal “innovation sources” and “chain leaders” in technological advancement....

Amid the wave of digital transformation, auditing faces multiple challenges including surging data volumes, increasingly complex operational scenarios, and heightened oversight requirements. Traditional audit models reliant on manual expertise struggle to meet demands for high-quality development. Intelligent...

As a provincial-level large state-owned energy conglomerate, the group company operates across multiple sectors including power, petroleum, and coal. With numerous subsidiaries and complex fund activities, it faces multiple challenges in fund management. Critical pain points exist at the strategic level,...

Basic scientific data is an important foundation for scientific research, and establishing an effective data value evaluation system is an inevitable requirement for improving the output level and influence of scientific research results. This article proposes a method for evaluating the value of basic...

To address the challenge of balancing efficiency improvement and equity assurance in differentiated expressway tolls for freight trucks. This paper develops a bi-level programming model embedding group equity and spatial-temporal indicators into the objective function and constraints of expressway operator....

Amid global economic integration, technological revolution, and the development of “new-quality productive forces,” innovation-driven development in China’s western regions is strategically vital. However, existing evaluation tools fail to match its unique characteristics. This study expands the “Four-Helix”...

Real-time Model Predictive Control (MPC) based on analytical models has emerged as a powerful technique for the high-frequency control of robotic manipulators. However, the performance of these controllers is fundamentally limited by the fidelity of their underlying models, often leading to degraded...

The relationship between electricity and the economy has always been a focal point in electricity development. Based on Gansu Province’s 2017 input-output table and electricity consumption data during the “14th Five-Year Plan” period, this paper analyzes the economic status and electricity consumption...

Against the backdrop of the new power system transformation, the power industry has elevated its core competency requirements for infrastructure talent, prompting State Grid enterprises to reform their human resource management. As a tool bridging job demands and talent development, the competency model...

Aligning with the Healthy China strategy and the “lifecycle health management” requirements proposed at the Third Plenary Session of the 20th CPC Central Committee, this study reinforces the guiding principle of proactive health. It proposes the conceptual logic and mechanism design for constructing...

This study addresses the problem of dynamic anomaly detection in accounting transactions and proposes a real-time detection method based on a Transformer to tackle the challenges of hidden abnormal behaviors and high timeliness requirements in complex trading environments. The approach first models accounting...