IGI Global

IGI Global Scientific Publishing in the areas of Business & Management; Science, Technology, and Medicine; and Education & Social Sciences Research

Founded in 1988 and headquartered in Hershey, Pennsylvania, USA with offices in New York, New York, USA, and in Beijing, China (IGI Science and Technology, Ltd.), IGI Global Scientific Publishing is a rapidly growing, mid-sized, independent international academic publisher dedicated to releasing high-quality, peer-reviewed scholarly research publications in the three major academic subject areas o

f Business & Management, Science, Technology, & Medicine (STM), and Education & Social Science. Our commitment is to advance the discovery of pioneering scientific research promptly through swift and agile processes, with books released in approximately 6-9 months from start to finish. With more than 200,000 research collaborations with experts from leading institutions around the world, we will publish over 1,000+ books during 2025 copyright year, positioning our publishing output among the industry’s giants with centuries of history. Our Open Access Journal Program includes nearly 200 fully open access journals, making IGI Global Scientific Publishing one of the largest 100% open access journal publishers in the world. Through traditional book publishing and open access options, we strive to bring cutting-edge high-quality research at the pace of innovation, ensuring that tomorrow’s research is published today.

Check out this paper, “Adoption of ChatGPT Among Higher Education Students: A PLS-SEM Analysis Using the UTAUT-2 Frame...
06/11/2026

Check out this paper, “Adoption of ChatGPT Among Higher Education Students: A PLS-SEM Analysis Using the UTAUT-2 Framework,” by Profs. Celbert Mirasol Himang (Cebu Technological University, Philippines), Samuel C. Villa Jr. (Cebu Technological University, Philippines), Nelson Fuentes Nolon (Cebu Technological University, Philippines), et al., featured in the International Journal of Information and Communication Technology Education (IJICTE).

Although existing literature has extensively examined ChatGPT adoption, the perspectives, perceptions, and attitudes of higher education students toward ChatGPT remain insufficiently explored. This study examines the key variables influencing ChatGPT acceptance and use among undergraduate students, using an online survey questionnaire with 2,254 undergraduate students from 95 higher education institutions in the Philippines. The findings revealed not only the direct effects of the examined factors but also the moderating roles of age, gender, and experience in shaping ChatGPT acceptance and use behavior.

Indexed in: Scopus, Web of Science

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Explore the latest paper, “Asymmetric Effects of ICTs on Women's Self-Employment in Sub-Saharan Africa,” by Profs. Fab...
06/10/2026

Explore the latest paper, “Asymmetric Effects of ICTs on Women's Self-Employment in Sub-Saharan Africa,” by Profs. Fabrice-Gilles Ndombi Avouba (Laboratory of Economic and Social Research and Studies, Congo), Alioune Badara Seck (Faculty of Economics and Management, Senegal), Jacques Hakizimana (Laboratory of Economic and Social Research and Studies, Congo), et al., published in the International Journal of Technology and Human Interaction (IJTHI).

This study investigates the asymmetrical effects of information and communication technologies (ICTs) on women's self-employment in 33 sub-Saharan African countries. Based on data obtained from the World Bank for the period 1996–2022, a non-linear autoregressive distributed lag model was applied to achieve the research objective. This study is the first to examine the asymmetrical relationship between ICTs and women's self-employment.

Indexed in: Scopus, Web of Science

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Discover this featured paper, “A Novel Approach for Evaluating Spatial-Temporal Synergy in Hybrid CNN-RNN and Vision T...
06/09/2026

Discover this featured paper, “A Novel Approach for Evaluating Spatial-Temporal Synergy in Hybrid CNN-RNN and Vision Transformer Architectures,” by Profs. Viren Passi (Chandigarh College of Engineering and Technology, Chandigarh, India), Sudhakar Kumar (Chandigarh College of Engineering and Technology, Chandigarh, India), Sunil K. Singh (Chandigarh College of Engineering and Technology, Chandigarh, India), et al., published in the International Journal of Intelligent Information Technologies (IJIIT).

This study examines multi-class image recognition via advanced architectures including CNNs, hybrid CNN-RNNs, and Vision Transformers (ViT), with comparative experiments. The hybrid CNN-RNN model excelled, achieving 92.24% test accuracy by fusing spatial and temporal features. Precision and recall exceeded 90%, proving effectiveness across patterns. This work demonstrates how advanced methods boost classification accuracy, aiding smarter AI for real-world tasks.

Indexed in: Scopus, Web of Science

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-RNN -10Dataset

IGI Global Scientific Publishing is pleased to announce the winners of its inaugural "Most Impactful Papers of the Year ...
06/08/2026

IGI Global Scientific Publishing is pleased to announce the winners of its inaugural "Most Impactful Papers of the Year Award," which celebrates highly impactful open access research articles across the publisher’s nearly 200 open access journals. View the full announcement to view each awarded paper here: https://buff.ly/fFa451K

Congratulations to the following open access papers:

- "Entrepreneurial Ecosystem Research: Bibliometric Mapping of the Domain," published in the Journal of Business Ecosystems (JBE) and authored by Hannes Velt (LUT University, Finland), Lasse Torkkeli (LUT University, Finland), and Igor Laine (LUT University, Finland)

- "Marketing Strategies on Social Media Platforms," published in the International Journal of E-Business Research (IJEBR) and authored by Albérico Rosário, Ph.D. (GOVCOPP, IADE, Universidade Europeia, Portugal) and Joana Carmo Dias (CEMF.UP, University of Porto, Portugal)

- "Spatial Patterns and Development Characteristics of China's Postgraduate Education: A Geographic Information System Approach," published in the International Journal on Semantic Web and Information Systems (IJSWIS) and authored by Ping Li (Zhejiang Wanli University, China), Haidong Zhong (Ningbo University of Technology, China), and Justin Zhang (University of North Florida, USA)

- "Principles of QSAR Modeling: Comments and Suggestions From Personal Experience," published in the International Journal of Quantitative Structure-Property Relationships (IJQSPR) and authored by Paola Gramatica (University of Insubria, Varese, Italy)

- "Teacher Experiences in Converting Classes to Distance Learning in the COVID-19 Pandemic," published in the International Journal of Distance Education Technologies (IJDET) and authored by Michael Marek (Wayne State College, USA), Chiou Sheng Chew (Universiti Teknologi MARA, Malaysia), and Wen-chi Vivian Wu (Asia University, Taiwan)

- "Mitigating Cognitive Biases in Developing AI-Assisted Recruitment Systems: A Knowledge-Sharing Approach," published in the International Journal of Knowledge Management (IJKM) and authored by Melika Soleimani (Massey University, New Zealand), Ali Intezari (PhD,MA) (University of Queensland, Australia), and David Pauleen (Massey University, New Zealand)

Check out this paper, “A Decision-Support Framework for Nature-Based Solutions for Climate Adaptation and Mitigation: ...
06/08/2026

Check out this paper, “A Decision-Support Framework for Nature-Based Solutions for Climate Adaptation and Mitigation: A Case Study of the Sardinia Region, Italy,” by Profs. Chiara Garau (University of Cagliari, Italy), Alfonso Annunziata (University of Basilicata, Italy), and Francesco Scorza (University of Basilicata, Italy), featured in the International Journal of E-Planning Research (IJEPR).

The study developed a framework that integrates multicriteria land suitability analysis with a decision-support tool to guide funding allocation and the spatialization of nature-based solutions (NbS) at the regional scale. The findings confirm its relevance for the spatialization of public policies and for enabling the integration of mitigation and adaptation strategies into urban and territorial planning.

Indexed in: Scopus, Web of Science

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Discover this featured paper, “Latency Trade-Offs of a Lightweight YOLOv11 Detection Algorithm on Edge Computing Nodes...
06/05/2026

Discover this featured paper, “Latency Trade-Offs of a Lightweight YOLOv11 Detection Algorithm on Edge Computing Nodes for Factory Safety Decision-Making: An On-Site Experiment in Smart Manufacturing,” by Profs. Zufa Luo (School of Economics and Management, Beijing University of Technology, China), Hao D**g (School of Economics, Maejo University, Thailand), and Xinzhe Shi (Guangxi Cultural Tourism and Wellness Integrated Development Center, Guilin Tourism University, China), published in the Journal of Organizational and End User Computing (JOEUC).

Ensuring real-time safety in smart manufacturing environments increasingly relies on vision-based object detection systems deployed at the edge. However, achieving a balance between inference accuracy and low-latency performance remains a key challenge. To address this, the authors propose Factory-Aware YOLOv11(FA-YOLOv11), a lightweight object detection framework designed for latency-aware safety decision-making in factory settings. This study highlights the importance of latency–precision co-optimization for edge intelligence in smart factories and provides a deployable solution to improve factory safety through fast and accurate perception.

Indexed in: Scopus, Web of Science

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Check out this paper, “Adaptive Hybrid-Kernel Multiple Kernel Learning Support Vector Machine for Text Categorization ...
06/04/2026

Check out this paper, “Adaptive Hybrid-Kernel Multiple Kernel Learning Support Vector Machine for Text Categorization and Information Retrieval,” by Prof. Tran Dang Hung (Ho Chi Minh City University of Industry and Trade, Vietnam), featured in the International Journal of Intelligent Information Technologies (IJIIT).

This paper presents an adaptive hybrid-kernel multiple kernel learning support vector machine that integrates heterogeneous text representations within a unified and computationally efficient framework. The proposed model combines a linear kernel on term frequency–inverse document frequency word n-grams, a spectrum kernel applied to character n-grams, and a radial basis function kernel applied to sentence embeddings.
Indexed in: Scopus, Web of Science

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Explore the latest paper, “Familiness, Management Control Systems, and Innovation Performance in Brazilian Family Firm...
06/03/2026

Explore the latest paper, “Familiness, Management Control Systems, and Innovation Performance in Brazilian Family Firms,” by Profs. Ieda Margarete Oro (Universidade do Oeste de Santa Catarina, Brazil), Lucas Antonio Vargas (Universidade do Oeste de Santa Catarina, Brazil), Jefferson Leandro Schmidt (Universidade do Oeste de Santa Catarina, Brazil), et al., published in the International Journal of Entrepreneurship and Governance in Cognitive Cities (IJEGCC).

This study aims to analyze the influence of Familiness on innovation performance, mediated using Management Control Systems, in Brazilian family firms. Research of this nature is important for family businesses worldwide, given their contribution to global GDP, and becomes even more relevant when examined in emerging economies. The findings reveal that Familiness negatively influences innovation; on the other hand, Familiness encourages the use of boundary and diagnostic systems and affects belief and interactive systems.

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