A context-aware BERT framework for detecting and modeling the mental health impact of online toxic language
Available online 3 January 2026
Toxic language in online communities poses significant risks to mental health, often exacerbating conditions, such as anxiety, depression, and stress. While existing methods for detecting toxic languages...
ESG performance and executive compensation levels: an empirical study
December 2025
As global environmental concerns grow, corporate environmental, social, and governance (ESG) performance has become an essential indicator for measuring organizational value and sustainability. Considering...
DeepSeek: implications for data science and management in the AI era
December 2025
DeepSeek has emerged as a disruptive force in artificial intelligence. Unlike traditional large language models (LLMs), which demand extensive computational resources, DeepSeek delivers comparable performance...
Prediction of retail commodity hot-spots: a machine learning approach
December 2025
The accurate prediction of hot-spot commodities in the retail market is crucial for inventory management and market strategy formulation. Traditional methods focus on analyzing the sales trends of listed...
Counterfactual synthetic minority oversampling technique: solving healthcare's imbalanced learning challenge
December 2025
The application of machine learning in the healthcare domain has groundbreaking potential across a wide range of scenarios. However, this potential is often stalled by data-related challenges, such...
Automatic method for identification of cycles in COVID-19 time-series data
December 2025
All previous methods identify cycles in COVID-19 daily and weekly data based on a subjective interpretation of the results. This poses difficulties for researchers interested in conducting comprehensive...
Particle swarm optimization-enhanced machine learning and deep learning techniques for Internet of Things intrusion detection
December 2025
The exponential escalation of cyber threats and attacks targeting Internet of Things (IoT) devices in this decade necessitates the development of effective intrusion detection methods. This paper presents...
Public sentiment analysis of roadway work zones using social media data and machine learning models
December 2025
The construction and maintenance of roadway infrastructure contribute positively to social and economic development and improve traffic safety. However, roadway work zones (WZs) present safety issues...
Enhancing imbalanced text classification: an overlap-based refinement approach
December 2025
The inherent class imbalance within textual data poses a significant challenge for machine learning-based techniques, as the available data often fails to adequately represent all classes. This scarcity...
AI-driven innovation in emerging markets: extending the technology acceptance model–technology-organization-environment framework in small- and medium-sized enterprises
December 2025
This study examined the impact of artificial intelligence (AI) adoption on innovation outcomes in Pakistani manufacturing small- and medium-sized enterprises (SMEs), addressing a critical gap in the...
Climate physical risks: catalyst or constraint for the convergence of the digital and low-carbon economies?
December 2025
The digital economy and the low-carbon economy are crucial catalysts of global economic change and sustainable development. This research focuses on China and thoroughly examines the coupling and coordination...
Unlocking the power of machine learning in big data: a scoping survey
December 2025
Machine learning (ML) plays a crucial role in big data (BD) by serving as the cornerstone of efficient data processing and analysis. In particular, ML provides BD with the ability to extract valuable...
Artificial intelligence in corporate boards: a dual-dimensional framework for integration across autonomy and structural levels
Available online 22 December 2025
This study examines the integration of artificial intelligence (AI) into corporate governance, with a specific focus on board-level decision-making. It critically evaluates five progressive stages of...
InGPT we trust: perceptions of the future of work with artificial intelligence on online forums
Available online 20 November 2025
This study analyzes 10 years of Reddit discussions on artificial intelligence (AI) labor’s market impact using a state-of-the-art pre-trained robust optimized bidirectional encoder representations from...
Meta-synthesis of supply chain modeling tools: leveraging natural language processing for optimal selection
Available online 28 October 2025
The modeling frameworks used for supply chains and operations are often selected without rigorous justification. This meta-synthesis addresses this gap by systematically examining the published literature...
Multi-source heterogeneous data fusion using vector concatenation for quality fluctuation analysis
Available online 27 October 2025
Big data mining is an important driver of quality control in intelligent manufacturing, however, conventional approaches often rely on a single data source, limiting their accuracy and applicability....
Exploring artificial intelligence for sustainable business development: a review
Available online 23 October 2025
Artificial intelligence (AI) has revolutionized business practices and enabled relevant techniques in various sectors to drive efficiency and innovation. This study examines the impact of AI across...
Trust or distrust? AIGC trustworthiness and an extended analysis within nomology framework
Available online 15 October 2025
Given the dizzying advancements in artificial intelligence (AI) applications such as ChatGPT and DeepSeek, AI-generated content (AIGC) has attracted considerable attention from scholars, practitioners,...
Investors’ behavior-based nonlinear goal programming models for financial portfolio selection considering future stock market trends
Available online 9 October 2025
Financial markets are ever-changing, and portfolio selection (PS) problems frequently involve multiple optimization objectives in an imprecise investment environment. Real-world investors attempt to...
Identifying accounting control issues from online employee reviews
September 2025
This paper presents and describes an approach to generate innovative labeled datasets that enable automated text classifiers to automatically detect online employee reviews referring to accounting control...
Toward accurate credit evaluation: an efficient imputation approach for financial data
September 2025
Missing instances and mixed data types, including discrete and ordered (e.g., continuous and ordinal) variables, are widespread in many datasets in the finance sector. In this domain, estimating missing...
Probabilistic oil price forecasting with a variational mode decomposition-gated recurrent unit model incorporating pinball loss
September 2025
Prediction methods have garnered significant attention in intelligent decision-making. Most existing approaches to predicting crude oil prices prioritize accuracy and stability while providing precise...
Hybrid deep learning model with VMD-BiLSTM-GRU networks for short-term traffic flow prediction
September 2025
Accelerating urbanization and the rapid development of intelligent transportation systems have rendered short-term traffic flow prediction an important research field. Accurate prediction of traffic...
Public data openness and stock price crash risk: evidence from a quasi-natural experiment of government data platforms
September 2025
Public data serves as a fundamental pillar in the advancement of the digital economy. Its importance for unlocking the value associated with information asymmetry has attracted substantial attention...
Exploration of salience theory to deep learning: evidence from Chinese new energy market high-frequency trading
September 2025
Salience theory has been proposed as a new stock trading strategy. To assess the validity of this proposal, a complex decision trading system was constructed based on salience theory, a variational...