IGI Global

09/08/2026

Discover this featured chapter, “Green FinTech and Renewable Energy Transition for Climate Mitigation,” by Prof. Tayyab Ali (University of Naples Federico II, Italy), published in The Strategic Role of Green FinTech in Climate Mitigation and Adaptation. This chapter examines how digital sustainable finance tools facilitate renewable energy investment and advance climate mitigation within a three-dimensional corporate performance paradigm that includes financial, operational and sustainability outcomes.

View Chapter Webpage: https://buff.ly/t0HUhmD
View Book Webpage: https://buff.ly/lhPvbDi

, ,

09/08/2026

Discover this featured paper, “Standardized Framework Design for an “Acoustics, Optics, and Lighting” Virtual-Physical Integrated Teaching Platform in Esport,” by Prof. Jing Zhang, published in the International Journal of Grid and High Performance Computing (IJGHPC). This paper proposed a standardized framework for a virtual, real integrated teaching platform for esports courses. The internalization of knowledge transfer and collaborative strategies in this study provide a demonstration of the full process technology stack for university esports courses and vocational training.

Indexed in: Scopus, Web of Science

Access Full-Text: https://buff.ly/zW14a7Q
Also view on:
ResearchGate: https://buff.ly/OQJQBTs
AGOSR: https://buff.ly/ymiskNy
, ,

09/07/2026

Explore the latest chapter, “Adaptive Leadership for Equity and Innovation-Reimagining Resilience in the New Academy” by Prof. Muhammad Usman Tariq (Abu Dhabi University, UAE & University College Cork, Ireland), published in Adaptive Leadership for Equity, Innovation, and Resilience Within the New Academy.

This chapter argues that adaptive leadership, through learning-focused change, engages diverse stakeholders in addressing complex and value-based challenges.

View Chapter Webpage: https://buff.ly/EY95EkK
View Book Webpage: https://buff.ly/39ZbncV

, ,

09/07/2026

Check out this paper, “Dynamic Monitoring Method for Grain Storage Engineering Construction Progress,” by Profs. Xuran Hu (Anhui Vocational College of Grain Engineering, China), Zhengkun Li (Anhui Vocational College of Grain Engineering, China), et al. This paper proposed a method for dynamic construction progress monitoring using a combination of UAV light detection and ranging (LiDAR) and building information modeling (BIM).

Indexed in: Web of Science
Access Full-Text: https://buff.ly/GnpDRpm
Also view on:
ResearchGate: https://buff.ly/9IQS4uI
AGOSR: https://buff.ly/1teYrB8
, ,

09/04/2026

Discover this featured paper, “Dynamic Optimization Decision Making for Urban Brand Visual Systems Based on User Experience Maps in Chengdu: A User Experience Map-Based Multimodal Decision Framework for Urban Brand Visual Optimization,” by Profs. Ziqing Yan (University of Toronto, Mississauga, Canada) and Tianyi Lyu (Granite Telecommunications, USA), published in the Journal of Organizational and End User Computing (JOEUC).

Urban brand visual systems shape city image and user experience across physical and digital touchpoints. However, existing methods are often static and weak in connecting user feedback with actionable visual optimization. To address this issue, this study proposes UXMap-BrandOpt, a user experience map-based dynamic optimization framework. Experiments on public datasets and the Chengdu-UXBrand Dataset show that the proposed method outperforms eight baselines, achieving F1_pain=0.891, S_BR=0.842, S_VC=0.821, Acc_act=0.813, and a utility gain of 0.236. The Chengdu case demonstrates its ability to identify weak touchpoints and provide interpretable visual optimization strategies.

Indexed in: Scopus, Web of Science

Access Full-Text: https://buff.ly/jMMP5cD

Also view on:
ScienceDirect: https://buff.ly/zJZJfnw
ResearchGate: https://buff.ly/XsqVrdZ
AGOSR: https://buff.ly/RnyyEFd

09/03/2026

Hear from the experts!

The live book launch "Experiential Learning in Higher Education: Cultivating Connection, Innovation, and Growth" featured the editors and chapter authors of two companion IGI Global Scientific Publishing volumes. Watch the recorded session to learn about the effects of experiential learning on building community, encouraging sustainable economic growth and innovation, and creating meaningful social impact.

Watch the full recording here: https://buff.ly/Eh4btsn

Join the editors of the newly released volumes Cases on Experientia...

09/03/2026

Check out this paper, “The Impact of Digital Literacy on Consumption Inequality,” by Profs. Xin Liu (Macquarie University, Australia), Ningzhiyuan Lyu (The University of Sydney, Australia), Jianshuo Wang (Beijing WUZI University, China), et al., featured in the Journal of Global Information Management (JGIM).

In the context of accelerating digital transformation and the imperative to expand domestic demand, this study examines how digital literacy influences household consumption inequality. Using nationally representative panel data from the China Family Panel Studies (CFPS) from 2014 to 2022, the authors construct a multidimensional digital literacy index. The findings highlight digital literacy's role in promoting inclusive consumption and reducing inequality in the digital economy.

Indexed in: Scopus, Web of Science

Access Full-Text: https://buff.ly/QQzUYq5

Also view on:
ScienceDirect: https://buff.ly/KFLsa7b
ResearchGate: https://buff.ly/6bQlEvP
AGOSR: https://buff.ly/OzHtqC3

09/02/2026

Explore the latest paper, “A Physics-Informed Transformer Framework With a Four-Compartment NRSF Brain-State Model for EEG Forecasting,” by Profs. Raghavendran Prabakaran (Center for Research, Easwari Engineering College, India) and Mithun Ram S. (Department of Information Technology, Easwari Engineering College, India), published in the International Journal of Neuroscience and Neuroinformatics (IJNN).

Despite the remarkable success of deep learning models, particularly Transformer-based architectures, existing electroencephalography (EEG) forecasting approaches remain predominantly data-driven and are generally unconstrained by the underlying neurophysiological mechanisms governing brain-state transitions, potentially resulting in physiologically inconsistent predictions under noisy or limited observations. In this study, the authors propose a novel hybrid Physics-Informed Transformer framework for EEG forecasting that integrates the expressive sequence modeling capability of Transformer networks with a mechanistic four-compartment brain-state model consisting of Normal (N), Rising (R), Seizure (S), and Refractory (F) neural states.

Access Full-Text: https://buff.ly/AZeBDsS

Also view on:
ResearchGate: https://buff.ly/DI7cSMd
AGOSR: https://buff.ly/WAd6jaf

09/01/2026

Discover this featured paper, “A Tiered Adoption Model for the STACKED Esports Learning Framework,” by Prof. Enrico Strock (University of Agder, Kristiansand, Norway), published in the International Journal of Game-Based Learning (IJGBL).

This article examined how the STACKED learning framework generated organizational interest without adoption commitment and reframed that pattern as a design signal. A systematic friction analysis across four adoption barrier dimensions revealed that the original framework violated Bushnell's Law by front-loading six high-friction components against only two low-friction entry points. The findings offer practical guidance for framework design in game-based team contexts where cultural expectations regarding system accessibility shape adoption outcomes.

Indexed in: Scopus, Web of Science

Access Full-Text: https://buff.ly/t80AKwh

Also view on:
ScienceDirect: https://buff.ly/YADj5WP
ResearchGate: https://buff.ly/F3MRS00
AGOSR: https://buff.ly/AG9bw0m

08/31/2026

Check out this paper, “AI-Generated Videos to Improve Content Comprehension in Contrastive Grammar and Research Methods,” by Profs. Paul F. Gonzalez-Torres (Universidad Tecnica Particular De Loja, Ecuador) and Carmen D. Benitez-Correa (Universidad Tecnica Particular De Loja, Ecuador), featured in the International Journal of Computer-Assisted Language Learning and Teaching (IJCALLT).

This mixed-methods study examined the effectiveness of AI-generated instructional videos (AIVs) on content comprehension, engagement, and reflective practice. Results showed that students using AIVs outperformed the control group in Contrastive Grammar, while gains in Research Methods were positive but not statistically significant. Moreover, watching AIVs helped students clarify and reinforce content, while creating videos fostered deeper understanding, creativity, and digital skills.

Indexed in: Scopus, Web of Science

Access Full-Text: https://buff.ly/hPeLxqy

Also view on:
ResearchGate: https://buff.ly/iLdvB7i
AGOSR: https://buff.ly/FpZqle9