Generative artificial intelligence in education: a comprehensive analysis based on bibliometrics
Available online 27 March 2026
Currently, generative artificial intelligence (GAI) has seen widespread penetration and advancement in educational management. However, systematic and comprehensive analyses of its integration into...
Digital economy, digital-real integration, and high-quality development of firms
Available online 27 February 2026
The digital economy (DE) is a significant factor in accelerating the high-quality development of firms (HQDF). Using data from Chinese A-share listed companies in Shanghai and Shenzhen from 2012 to...
The Impact of Digital Transformation on Sustainable Supply Chain Performance: The Mediating Effect of Service Innovation
Available online 19 February 2026
Amid accelerating global economic integration and escalating imperatives for sustainable development, digital transformation (DT) and service innovation (SI) have evolved into pivotal drivers of sustainable...
Breathing rewards: Dynamic market-aware portfolio optimization
Available online 30 January 2026
In recent years, rising geopolitical tensions, trade protectionism, and demand for safe-haven assets have driven a notable surge in financial market volatility, exposing the limitations of both traditional...
Systematic Review on the Influence of Classical and Quantum Machine Learning in the Financial Sector
Available online 13 January 2026
In the financial sector, machine learning (ML) has emerged as a transformative technology that provides sophisticated solutions to critical challenges, such as in fraud detection, anti-money laundering,...
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 (AI). Unlike traditional large language models (LLMs), which demand extensive computational resources, DeepSeek delivers comparable...
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...
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...
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...
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...
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...
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...