2026 May - 140 articles
Artificial intelligence (AI) systems increasingly depend on complex, multi-stage supply chains that incorporate pre-trained models, third-party datasets, open-source libraries, and automated training pipelines. This dependency creates a rapidly expan...
This study examines the relationship between individuals’ perceptions of corporate social responsibility (CSR) and their job-seeking intentions, with a particular focus on the mediating role of personal values and attitudes toward social respon...
Technical debt (TD) poses a significant systemic risk in aerospace systems engineering, yet existing frameworks inadequately address debt irreversibility at hardware–software integration boundaries. Current detection approaches operate on struc...
Digital transformation involves a systemic restructuring of companies’ business processes. The objective of the study is to analyze the impact of digital transformation, represented by intangible assets, on audit service fees. A sample of 1170...
As a multi-functional systemic carrier, rural tourism integrates diverse rural resources and serves as a key endogenous driver for sustainable rural development and the enhancement of rural residents’ livelihoods. However, excessive tourism dev...
Against the backdrop of the ongoing advancement of the “dual carbon” goals and the carbon emission trading system, green innovation in small and medium-sized manufacturing enterprises faces multiple practical constraints, including financ...
Case-based reasoning (CBR) is an efficient intelligent decision-making approach, but traditional methods often neglect the weight and reliability of decision information and struggle with attribute heterogeneity and missing data. This study proposes...
Super apps have emerged as complex digital service ecosystems that integrate multiple heterogeneous services within a unified platform architecture. As artificial intelligence (AI) capabilities become increasingly embedded into these platforms, under...
Improving customer satisfaction (CS) and gaining competitive advantages are central goals of product improvement, both of which rely on accurate classification of product attributes. Online reviews on e-commerce platforms provide firms with abundant...
The growth of commercial aerospace enterprises (CAEs) has injected new vitality into the entire aerospace system. Nevertheless, there remains a research gap concerning the entrepreneurial behavior of these enterprises, which is primarily driven by co...
Artificial intelligence (AI) and digital technology provide extensive possibilities for education. But focusing only on their implementation does not address the challenges associated with them and they may even have a negative impact on learners. So...
Storage location assignment in automated warehouses strongly affects order-processing efficiency. Existing co-occurrence-based approaches often rely on pointwise mutual information (PMI) statistics or direct frequency co-occurrence. This paper compar...
Public data openness refers to the practice whereby governments make the raw data collected, generated, and managed during public administration freely available to society through unified platforms for public development and use. As a government-led...
In project-based organizations, novices engaged in project-contextualized learning often struggle to balance sustained project learning with immediate task delivery, creating a tension between developmental sustainability and execution sustainability...
The paper analyses the economic impact of the reduction in road traffic accidents in Slovakia between 2000 and 2024 and quantifies both direct and indirect costs of road crashes. Over this period, annual crashes declined from more than 50,000 to appr...
The transformation of healthcare systems presents a key challenge for EU Member States, as they face growing population needs, resource pressures, and ongoing health disparities among communities. Using a systems-thinking approach provides a suitable...
Digital payment and settlement markets operate as interconnected financial systems shaped by institutional, technological, and capability-based elements. This study examines how digital transformation and digital financial inclusion interact within t...
Unattended scheduled appointments (“patient no-shows” henceforth) adversely affect healthcare providers and patients’ health, disrupting the continuity of care, operational efficiency, and allocation of medical resources. Therefore,...
The contemporary cyber-threat landscape is becoming increasingly diverse and complex, creating a persistent gap between situational awareness and operational response. This study presents a framework designed to bridge this gap by transforming up-to-...
High-tech manufacturing is a technology- and knowledge-intensive strategic industry. Its total factor productivity (TFP) directly impacts national competitiveness and economic quality. In China, despite rapid growth, TFP performance varies across sub...
Vulnerability management (VM) is becoming increasingly important as organizations face growing cybersecurity threats. This study examines how organizations adapt their vulnerability management routines in response to evolving vulnerability signals th...
Cross-border e-commerce fulfillment depends on coordinated inland container movements across factories, inland container depots (ICDs), and port gateways, yet many container trucking operations still follow synchronous one-truck-one-order execution....
This study proposes a Behavior-Calibrated Endogenous Choice 2SFCA (BCEC-2SFCA) framework for assessing spatial accessibility to tertiary hospitals. Using large-scale taxi trajectory data from Ningbo, China, we empirically calibrate the Huff model par...
Universities operate in an environment characterized by complexity, unpredictable challenges, rapid change and stakeholder demands. University employees are a key resource to achieve the strategic goals of the institution, linked to this complexity....
Employees’ voice is an important source of organizational learning and adaptive change. As algorithmic management is increasingly applied across organizational management processes, an urgent practical question arises: Does it affect employees&...
Technology enterprises are leveraging artificial intelligence (AI) to foster disruptive innovation, aiming to seize first-mover advantages in technological catch-up and strategic transformation. Most existing studies adopt static research methods suc...
This study proposes a standards-based Reference AI Business Model Canvas (Reference AI-BMC) that translates the use-case descriptors of ISO/IEC TR 24030 into the nine blocks of the Business Model Canvas, addressing the lack of a structured translatio...
The rapid expansion of e-commerce has transformed market access in developing economies, yet its impact on the spatial structure of market participation remains insufficiently understood. While existing studies primarily examine welfare outcomes such...
Accurate identification of key nodes in complex networks is vital for optimizing system robustness and controlling information spread. Existing centrality metrics struggle to balance the continuous extraction of global topological features with the f...
Against the backdrop of concurrent economic transformation, deepening digitalization, and green upgrading, this study aims to uncover the mechanisms through which the system of new quality productive forces drives high-quality economic development. D...
This study proposes an explainable framework for ESG portfolio rebalancing by integrating carbon credit signals, technical indicators, and Transformer-inspired forecasting into a unified decision process. The investable universe consists of six ESG-t...
In high-inflation economies, stablecoins are increasingly becoming infrastructural channels through which households and firms access U.S.-dollar value outside traditional financial arrangements. We study Argentina as a fragmented USD access system c...
Traffic flow prediction is an important and fundamental task for the operation of Intelligent Transportation Systems. In recent years, most studies on traffic prediction have focused on two-dimensional network traffic flow prediction, while there is...
This conceptual article introduces knowledge-centric recruitment (KCR) as a distinct dynamic capability that reframes recruitment and post-hire socialization as strategic knowledge-development activities. (1) Background: Unlike conventional vacancy-d...
Market-based environmental regulations are increasingly vital for driving green transitions. As a major construction economy and the world’s leading carbon emitter, China launched its Carbon Emission Trading System (CETS) to advance dual-carbon...
How non-dominant specialized firms sustain systemic innovation influence in modular service ecosystems without occupying architectural control positions remains theoretically underdeveloped. This study develops a dual-path Resource–Strategy&nda...
Against the backdrop of deep integration of technological innovation and industrial innovation, this study constructs a theoretical model incorporating market and government behavior. Utilizing panel data from 284 prefecture-level cities across China...
To optimize the freight distribution structure of ports and reduce carbon emissions from freight transportation, this paper develops a bi-level programming model for freight traffic shifting between roadway and waterway networks that incorporates car...
Firms that invest similar amounts in digital transformation often end up with very different results: some achieve steady improvement, some remain at a low level, and others experience repeated rises and declines in performance. This study explains w...
The integration of Artificial Intelligence (AI) and Big Data is increasingly associated with firms’ resilience in dynamic business environments. This study examines the relationships between AI–Big Data integration, AI capabilities, suppl...
Creativity relies on dynamic processing within the semantic network system; however, how this system varies under different cognitive strategies remains unclear. Grounded in the Associative Theory of Creativity, this study applied four cognitive stra...
Humanities research depends on linking claims to precise evidence, such as juan, pages, passages, or time-stamped media segments. While large language models can assist with extraction and synthesis, their outputs remain difficult to use in scholarly...
This paper assesses the challenges and policy responses for the adoption of electric vehicles (EVs) in Africa. We applied a decision support system framework comprising a new integration of the RANking COMparison Method (RANCOM) and Root Assessment M...
Low-carbon service outsourcing creates a governance problem in which manufacturers must address hidden emission-reduction capability before contracting and hidden effort after contracting. Consumer low-carbon preference does not automatically transla...
Financial systems operate under strict requirements for availability, low latency, resilience, and regulatory compliance, yet infrastructure management in these environments remains largely reactive. This paper addresses that limitation by proposing...
Accurately predicting traffic crash severity is critical for intelligent transportation systems, where outcomes emerge from the interaction of infrastructure, environment, traffic control, and human behavior. However, existing approaches face three k...
Adaptive and evolutive software systems are characterized by ontologically defined non-determinism—not a defect but the primary force of their evolution. Non-determinism arises from recursion, interaction, and selection between abstract compone...
Accurate carbon price forecasting is essential for market stability, regulatory assessment, and risk management in emission trading systems. However, existing approaches find it challenging to extract informative signals from high-dimensional multi-s...
Modern machine learning approaches for vulnerability detection achieve strong performance within specific datasets, yet their reliability degrades under domain shift, limiting their effectiveness for real-world secure software development lifecycle (...
Oil-dependent economies function as complex socio-economic systems in which resource revenues, institutional structures, and investment outcomes are dynamically interlinked. When governance is weak, oil windfalls can trigger reinforcing feedback loop...
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