All of the articles in this proceedings volume have been presented at the 2026 2nd International Conference on Data Mining and Project Management (DMPM 2026) during March 13-15, 2026 in Jinan, China. These articles have been peer reviewed by the members of the Scientific Committees and reviewers and...

With the low-altitude economy being elevated to a national strategic emerging industry development plan, the “two-dimensional plane” urban space will transform into a “three-dimensional space.” This article uses the Nanjing “Jiangyida” low-altitude flight base as a case study, demonstrating how low-altitude...

This paper examines POP MART’s marketing strategies through the case of its well-known IP, LABUBU. The growth of the designer toy economy and the rising influence of Generation Z consumers have created new opportunities for IP-driven business models. Yet, most existing studies of omni-channel marketing...

In the context of the new era, people’s yearning for a better life requires the construction field to provide a more comfortable and healthy living environment in a greener, environmentally friendly and efficient way. The green transformation of existing buildings often involves more stakeholders, and...

The phenomenon of executive compensation stickiness in state-owned enterprises reflects a lack of contract effectiveness and has a significant impact on firms’ value creation capacity. This study constructs a panel dataset covering state-controlled A-shares listed companies in China from 2010 to 2022,...

This paper embeds safety sensitivity analysis into model-based systems engineering (MBSE) design, constructs a safety sensitivity analysis framework based on system design models, and establishes a model-driven safety design process and sensitivity analysis procedures oriented to complex tasks. The moment-independent...

With China’s aging population trend accelerating and the phenomenon of empty-nest seniors intensifying, this study employs the Analytic Hierarchy Process (AHP) to explore design methodologies for age-friendly bathroom products. This approach aims to enhance seniors’ quality of life and safety while fully...

This paper proposes a simple unit fiscal burden (UFB) framework to track sector-specific cost dynamics in local public services. Using county-level panel data in China from 2000–2023, we construct UFB measures for healthcare and primary education as sectoral public expenditure per unit of service capacity...

This paper proposes a large language model (LLM)–based automatic mining framework for identifying and analyzing animal and plant metaphors in Chinese and Western classical texts. Treating metaphor identification as a structured information extraction task, we design a multi-stage pipeline integrating...

Technological innovation is widely regarded as a key driver of firm competitiveness and long-term value creation. However, due to high investment intensity, uncertainty, and long commercialization cycles, the financial consequences of innovation remain empirically ambiguous. Using a panel of block chain-related...

This study examines how data factor allocation promotes cross-border e-commerce development in China. Based on provincial panel data (2012–2022), we employ a two-way fixed effects model to analyze this relationship. Results show that enhancing data factor allocation significantly boosts cross-border...

As a precious intangible cultural heritage of forest ethnic groups in northern China, birch bark craftsmanship carries unique regional ecological wisdom and cultural memory, but currently faces challenges such as fewer inheritors, disappearing traditional scenarios, poor preservation of physical relics...

This paper focuses on the effectiveness of market-oriented transformation of local government financing platforms as a core issue in local debt governance. From an AI perspective, it constructs a multivariable statistical model and uses SPSS to analyze the roles of governance mechanism and fiscal dependency...

In large-scale digital institutions, formalized processes, compliance mechanisms, and algorithmic systems are essential for managing complexity and operational scale. However, these structures increasingly treat judgment as a computable and outsourcable function. This paper argues that such reduction...

This study offers a systematic analysis of academic research on superhydrophobic drag reduction. by utilizing two visualization tools named VOSviewer and Bibliometrix of R. We analyzed 407 articles on this area from the web of science database. The authors, journals, organizations and countries in the...

In recent years, tobacco commercial enterprises have consistently implemented high-quality development concepts, continuously improving procurement management and supervision systems. Significant enhancements in procurement management and regulatory standards have been achieved, with strengthened integrity...

To address dilemmas in corporate performance appraisal, including disconnection in strategy implementation, vague value contribution, insufficient risk control, and inaccurate evaluation, this study develops and empirically tests a four-dimensional performance appraisal system: Strategic Contribution,...

In the era of deepening human-machine collaboration, job design is crucial for optimizing human resource management systems. Based on the context of Human-Computer Interaction (HCI), this study investigates the impact mechanism of job design on employees’ career development, introducing HCI usability...

This paper evaluates the impact of the New Rural Social Pension Insurance (NRSP) pilot on rural income and consumption in China. Using provincial panel data for 2000 to 2021, we estimate a difference-in-differences model with province and year fixed effects as well as province-specific linear trends....

Facing typical disasters such as earthquakes, landslides, and debris flows—characterized by sudden onset, high destructiveness, and wide-area impact—rapid post-disaster rescue of trapped individuals is the core objective of emergency relief. To improve the efficiency of locating and rescuing those trapped,...

Industrial transfer in Northwest China faces a persistent dilemma between ecological conservation and economic development. Moving beyond traditional economic geography, this study integrates ecological theories of “community succession” and “expansive adaptation” to construct a unified analytical framework...

Well control in well repair operations is essential to safe and stable oilfield production, because failures in pressure control may lead to blowouts, environmental pollution, equipment damage, and even casualties. Traditional well control management mainly depends on manual inspection, experience-based...

This study examines whether firm-level new quality productive forces (NQP) are associated with cost reduction and efficiency enhancement in Chinese listed firms. Using an unbalanced panel of A-share listed companies from 2012 to 2024, we estimate firm- and year-fixed-effects models to test whether stronger...

The proliferation of algorithmic trading has reshaped market microstructure, manifesting as periodic fluctuations in high-frequency trading volume series. Based on tick-by-tick data for all A-share stocks in China from 2017 to 2025, this paper constructs a spectral decomposition model tailored to 100ms...

Under the background of global industrial chain restructuring, the application of digital technology is key to enhancing the resilience of manufacturing enterprises. This study explores the impact of different types of digital technology applications on the resilience of China’s manufacturing enterprises....

The comprehensive rural revitalization strategy is accelerating the development of advanced entrepreneurial talent through higher vocational education. However, current efforts remain misaligned with the actual needs of rural industrial development. Drawing on domestic and international research on entrepreneurship...

Traditional traffic signal control (TSC) schemes rely on fixed timing or rule‑based adaptation, which lack real‑time responsiveness to stochastic and highly dynamic traffic flows. Deep reinforcement learning (DRL) has become a promising paradigm for adaptive signal control, yet value‑based methods such...

Using a sample of Chinese A-share listed firms from 2012 to 2024, this study examines whether digital transformation (DT) is associated with lower managerial cost burden. DT is measured from digital-related keyword frequencies in the MD&A sections of annual reports. Firms with stronger DT tend to...