2026 July - 158 articles
The rapid expansion of large language models (LLMs) has intensified ethical challenges related to bias, accountability, transparency, and consistency in AI-mediated decision-making. While existing AI ethics principles provide normative guidance, thei...
Amid the accelerated global transition toward sustainable electromobility, Chinese Electric Vehicles (EVs) have forged a complex, evolving communication ecosystem across overseas social media platforms. Conceptualizing global digital discourse as a c...
This paper extends the post-factual polity framework into AI infrastructure and public administration systems theory. It asks how proprietary analytical platforms alter the state’s capacity to produce, audit, and contest the categories through...
Understanding the pricing of climate risks in bond markets is relevant to financial stability. The real estate sector, characterized by geographically fixed and long-duration assets, exhibits high exposure to environmental shocks; yet, empirical matc...
This study examines the optimal coordination of internal and external rescue for troubled banks under systemic contagion. Using annual data for 210 Chinese commercial banks from 2013 to 2024, it constructs a region-constrained minimum-density interba...
Corporate governance is a complex, adaptive open system; yet it is usually modeled, in the classical agency tradition, as a closed matrix of legal and financial contracts. Adopting an open systems perspective, we decode the “social software&rdq...
This paper presents a compute-efficient human-following robotic mobility system that integrates multimodal target recognition, LiDAR-based obstacle perception, hierarchical local planning, and low-level motion control into a unified perception–...
Unexpected disruptions make it essential to develop construction project resilience. Stakeholder relationships can shape disruption handling and thus influence project resilience, yet their roles remain debated. Drawing on organizational information...
Modeling complex systems typically involves multiscale analysis, multiphysics coupling, and cross-domain integration. However, existing methodologies predominantly focus on constructing and solving specific equations, lacking a unified, explicit expr...
Regional carbon balance emerges from the complex interplay between land-use dynamics, spatial economic activities, and ecological processes as a socio-ecological system cannot be captured by any single analytical lens. This study develops an integrat...
Academic competitions have become increasingly visible in higher education. This study examines the recorded expansion and distribution of computer science competition awards across Chinese universities. It treats these records as evidence of an awar...
Geopolitical disruptions at maritime chokepoints cascade through interconnected economic systems, yet the pathways along which such shocks travel and the nodes at which they are absorbed remain poorly understood. The aim of this study is to trace, wi...
This study investigates how serious games enhance sustainability learning in tourism through cognitive–emotional activation and agency-driven behavioural pathways. The sample comprised 354 students from hospitality, culinary arts, and tourism p...
Economic evaluation of Vessel Traffic Service (VTS) has long relied on sampling-based observations and average-cost assumptions, yet limited attention has been paid to whether evaluation frameworks themselves shape how the value of digital maritime g...
This paper investigates rumor dissemination dynamics with generalized nonlinear incidence in multilingual environments. We propose a novel stochastic modeling framework that integrates age structure, mandatory isolation mechanisms, and media interven...
In an era characterized by frequent global supply chain disruptions, manufacturers increasingly explore strategies to safeguard operational continuity, including equity participation in upstream suppliers. This paper investigates partial vertical own...
South Korea has achieved internationally recognized digital government capacity and platform-based service integration, yet recent privacy and cybersecurity incidents reveal growing risks to digital trust. This article examines how national governanc...
High-variety engineer-to-order (ETO) manufacturers often rely on quantity-based planning logic, in which planned output is weakly connected to finite machine and labor capacity. This disconnect can create workload peaks, congested queues, and deliver...
Traditional financial distress early-warning models mostly rely on lagged structured financial indicators, which fail to capture the potential credit risks associated with the climate transition of green enterprises. Taking A-share listed green compa...
Explainable artificial intelligence (X-AI) techniques aim to make the actions and decisions of autonomous systems understandable to humans interacting with these systems. In human–AI teams, explainability supports individual understanding and c...
Fiscal shocks in post-land-finance China are weakening the funding basis of capital-intensive metro public-private partnership (PPP) projects, but the system-level mechanism through which public fiscal stress becomes subcontractor-level financial via...
The impact of chain-leading (hub) firms’ forward-looking information disclosure on supply chain collaborative innovation remains underexplored. Based on panel data of Chinese A-share manufacturing listed firms from 2014 to 2024, this study adop...
Provincial innovation systems can be understood as complex adaptive networks in which connectivity and resilience-enabling conditions emerge from heterogeneous local capabilities, spatial constraints, and relational configurations. Taking 95 county-l...
Complex and wicked problems characterized by high levels of uncertainty motivate the use of multimethodology (or methodological pluralism) in which different methodologies and methods are combined to better approach problems and develop solutions. Th...
Cellular manufacturing (CM) has been extensively studied and is widely recognized as a resilient and effective production system. With respect to labor-intensive cells, recent studies have primarily concentrated on mixed-integer programming (MIP) mod...
Path following control is a fundamental problem in robotics and autonomous systems, essential for the navigation of vehicles, drones, and mobile robots. The goal is to maintain a system on a predefined path despite external perturbations and complex...
In the context of increasingly frequent and highly unpredictable unconventional emergencies and growing supply chain uncertainty, traditional static reward-and-punishment mechanisms often fail to curb enterprises’ speculative stockpiling, leadi...
Green innovation performance (GIP) in new energy enterprises emerges from complex interactions among technological, organizational, and institutional resource subsystems, yet existing research predominantly applies linear, single-factor approaches th...
Artificial intelligence (AI) is widely viewed as a technological foundation for organizational resilience. Yet firms may strategically exaggerate their AI-related narratives without corresponding substantive investment. This study examines whether su...
Autonomous driving technology enables precise motion control and creates substantial opportunities for improving the operation of signalized intersections. However, the performance trade-offs among autonomous vehicles at signalized intersections, and...
Context is at the heart of systemic cognition, a new theoretical framework that supports human systems integration (HSI) of sociotechnical systems (STSs). An STS is a complex system that involves humans and machines. Our claim is that we cannot discu...
This article develops a systems-thinking framework to analyze and govern interconnections among the Sustainable Development Goals (SDGs). Contemporary policy challenges, including food insecurity, climate change, water and energy security, inequality...
Artificial intelligence (AI) is increasingly embedded in high-stakes socio-technical systems, intensifying concerns about autonomy, accountability, data rights, and fundamental-rights protection. This article develops an exploratory, expert-informed...
To address the multi-objective conflicts among cost, time, and carbon emissions in Guangxi cross-border container multimodal transport—under the influence of factors such as tariffs, fluctuating customs clearance efficiency, and carbon emission...
This study develops a computational framework for quantifying how technological disruptions are associated with shifts in media–public discourse alignment. Using the public release of ChatGPT (30 November 2022) as a temporal breakpoint, we exam...
Large language models (LLMs) can assist lesson planning, but simple prompts often yield incomplete and misaligned outputs. This study proposes a three-step prompt framework grounded in Bloom’s taxonomy, Adaptive Control of Thought-Rational (ACT...
Smart-city governance increasingly relies on data infrastructures to connect public agencies, digital platforms, and urban services; however, complex emergencies continue to expose fragmentation in information sharing, administrative responsibilities...
In the era of carbon neutrality, urban competition has evolved from single-dimensional economic rivalry to multidimensional competition emphasizing green and sustainable development. However, it remains unclear whether digital infrastructure, the phy...
As a booming application domain in sharing economy, the crowd logistics services (CLSs) have emerged in recent years to take advantage of under-utilized resources for generating economic value. However, unduly designed CLS system platforms may suffer...
The formation mechanisms of Urban Vitality have been constrained by the limitations of traditional linear driving hypotheses, and the fragmented analysis of subjective and objective factors. Integrating the explainable machine learning model XGBoost-...
In response to intensifying environmental pressures and the rapid pace of digital transformation, firms are increasingly turning to artificial intelligence (AI) as a tool to support sustainable development. Using panel data from Chinese A-share-liste...
Escalating threats from natural disasters and technical failures underscore the critical role of infrastructure resilience in sustaining operations and reducing losses. Existing studies have advanced resilience optimization, but still provide limited...
Against the background of the low-carbon energy transition, China’s energy system faces energy structure risks caused by high-carbon path dependence, external dependence on oil and gas, and insufficient new energy substitution capacity. This pa...
In online innovation communities, idea diffusion constitutes a core mechanism through which user-generated ideas are transformed into collective innovation outcomes. However, existing research remains fragmented and lacks a process-oriented explanati...
Industrial control systems (ICSs) are the operational technology that monitors and directs physical processes across critical infrastructure. They sit at the core of Industry 4.0. Once these systems are connected to digital platforms and service chai...
Global climate challenges and regulatory pressures have strengthened the link between carbon risk and corporate financial distress. We examine the impact of carbon risk on corporate financial distress and its underlying mechanisms using China’s...
Customer satisfaction offers economic benefits and competitive advantage to manufacturing enterprises. However, a gap exists in understanding how to achieve customer satisfaction due to the complexities involved in coordinating various subsystems of...
The digitalization of tax administration (DTA) represents a transformative institutional reform; however, its influence on regional entrepreneurship remains both theoretically ambiguous and empirically understudied. Drawing on institutional theory, w...
This study investigates the performance implications of Industry 4.0 (I4.0) adoption in manufacturing small and medium-sized enterprises (SMEs) through an integrated analytical framework combining transformation modeling, composite performance measur...
At present, the organisational landscape, which aims to provide value through its product and service offerings, must have the necessary infrastructure to deliver at the expected service levels. This requires the appropriate adaptation of existing fr...
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