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...
Understanding user’s identifiability on social media: a supervised machine learning and self-reporting investigation
September 2025
The identifiability of users as they interact in the digital world is fundamentally linked to privacy and security issues. Identifiability can be divided into two: subjective identifiability, which...
The effect of green mergers and acquisitions on the green transformation of heavily polluting enterprises: empirical evidence from China
September 2025
Against the backdrop of increasingly prominent global environmental issues, heavily polluting enterprises (HPPs) urgently need to find a path to green transformation that achieves sustainable development...
L2R-MLP: a multilabel classification scheme for the detection of DNS tunneling
September 2025
Domain name system (DNS) tunneling attacks can bypass firewalls, which typically “trust” DNS transmissions by concealing malicious traffic in the packets trusted to convey legitimate ones, thereby making...
The impact of mHealth apps’ affordance on consumers’ novel food purchasing decisions
September 2025
Mobile health apps (MHAs) provide users with exercise support and dietary recommendations. They also suggest a wide range of novel foods. However, some users may face food neophobia, a reluctance to...
Effective and efficient handling of missing data in supervised machine learning
September 2025
The prevailing consensus in statistical literature is that multiple imputation is generally the most suitable method for addressing missing data in statistical analyses, whereas a complete case analysis...
Electroencephalogram-based emotion recognition: a comparative analysis of supervised machine learning algorithms
September 2025
Emotion recognition from electroencephalogram (EEG) signals has garnered significant attention owing to its potential applications in affective computing, human-computer interaction, and mental health...
Meta-model-based optimization of rule-based energy management in second-hand plug-in hybrid electric vehicles
September 2025
This study presents a methodology to enhance energy management systems (EMS) in hybrid electric vehicles (HEVs) to reduce fuel consumption and greenhouse gas emissions. A novel surrogate-assisted optimization...
Suspiciousness of social media accounts: examining the role of conversational consistency using machine learning approach
Available online 27 September 2025
The proliferation of social media platforms has led to an upsurge in suspicious accounts that spread misinformation and manipulate public opinion. A few of these accounts with significant followings...