Immersion for All? Rethinking Equity and Fatigue in the XR Era: A Systematic Literature Review of Immersive Technology
Available online 2 July 2026
Immersive technologies, including virtual, augmented, mixed, and extended reality (XR), are transforming how people learn, heal, travel, and consume. This literature review analyzed 95 peer-reviewed...
Investors’ behavior-based nonlinear goal programming models for financial portfolio selection considering future stock market trends
June 2026
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...
Trust or distrust? AIGC trustworthiness and an extended analysis within nomology framework
June 2026
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,...
Multi-source heterogeneous data fusion using vector concatenation for quality fluctuation analysis
June 2026
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....
In GPT we trust: perceptions of the future of work with artificial intelligence on online forums
June 2026
This study analyzes over 10 years of Reddit discussions on artificial intelligence (AI)’s impact on labor market using a state-of-the-art pre-trained robust optimized bidirectional encoder representations...
Artificial intelligence in corporate boards: a dual-dimensional framework for integration across autonomy and structural levels
June 2026
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...
A context-aware BERT framework for detecting and modeling the mental health impact of online toxic language
June 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 language...
Deep learning in financial fraud detection: Innovations, challenges, and applications
June 2026
This study presents a systematic review of 108 peer-reviewed publications (2019–2024) on the application of deep learning (DL) to financial fraud detection. It examines advances in model architectures,...
Integrating lean management and emerging technologies for enhanced sustainable performance: Empirical evidence based on double machine learning approach
June 2026
The rapid increase in sustainability has pushed manufacturing firms to rethink their production systems to make them more efficient, produce less waste, and improve their working conditions. In this...
Suspiciousness of social media accounts: Examining the role of conversational consistency using machine learning approach
June 2026
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...
Interpretable hydropower forecasting method using two-stage decomposition and its management applications
Available online 12 May 2026
As a premier renewable energy source for power generation, hydropower boasts substantial construction scale and robust generation capacity. Amid the global energy crisis, precise hydropower forecasting...
Enhancing Tabular Regression with Supervised Manifold-Guided Graph Neural Networks
Available online 8 May 2026
Standard deep neural networks exhibit suboptimal convergence in tabular regression, particularly under sparse distribution and high heterogeneity. We hypothesize that this limitation arises from the...
Enabling innovation with big data analytics capabilities: the moderating role of organizational learning culture
March 2026
Big data analytics (BDA) capabilities for innovation are an area of growing interest; however, empirical results on this pivotal relationship remain inconclusive. This study investigates how BDA capabilities...
Efficient management of medical image datasets for content-based case retrieval via sparse annotation and bidirectional label propagation
March 2026
Efficient management of medical image datasets is critical for clinical decision-making. However, current methods lack fine-grained annotation management and content-based case retrieval capabilities....
Unveiling the footprints of explainable AI in Industry 4.0/5.0: a systematic review and bibliometric exploration
March 2026
Progress in artificial intelligence (AI) is driving transformations that compel an increasing number of companies to embrace the Industry 4.0 and 5.0 paradigms and adopt advanced AI solutions. However,...
Data clustering: a fundamental method in data science and management
March 2026
This study investigates the pivotal role of data clustering in both data science and management, focusing on core methodologies, tools, and diverse applications. It examines traditional clustering techniques...
Cross-domain aspect term extraction using pre-trained language models with pre-training and fine-tuning strategy
March 2026
As an important subtask of fine-grained sentiment analysis, aspect term extraction (ATE) aims to identify aspect terms within user-generated comments. ATE supervised learning approaches are heavily...
Impact of China's outward foreign direct investment on the Belt and Road Initiative countries' digital economy and energy transition
March 2026
Digital economy (DE) is on the verge of becoming a pivotal facilitator of the energy transition (ET). However, it remains to be seen to what extent China's outward foreign direct investment (OFDI) can...
A multi-location inventory system with occasional allocation under uncertain defective rates
March 2026
In this study, a multi-location allocation problem is investigated under a temporary allocation system in light of the uncertain defective rate inherent to items. Based on the theoretical and modeling...
Effect of digital ecosystem embeddedness on farmers’ entrepreneurial performance: evidence from China
March 2026
Digital ecosystem embeddedness subverts the promotion mechanism of farmers’ entrepreneurial performance; however, related research is scarce. This study constructed a theoretical mechanism model and...
Artificial intelligence dimensions and design features for the knowledge-based work of the future: a socio-technical perspective
March 2026
With recent advances in transformative technologies, such as the Internet of Things, cloud computing, and mobile devices, jobs have become more knowledge-based. To implement successful technologies...
Integrative innovation of large language models in industries: technologies, applications, and challenges
March 2026
This paper examines the transformative potential of large language models (LLMs) across diverse industries, emphasizing their ability to enhance natural language processing tasks through pre-training...
Multilingual opinion mining of imbalanced customer review datasets using GPT and ensemble hybrid deep learning model
March 2026
This study introduces stacked deep learning for multilingual opinion mining. This framework incorporates RoBERTa-GRU, RoBERTa-LSTM, RoBERTa-BiGRU, and RoBERTa-BiLSTM hybrid models, optimized using the...
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...