Open Access Academic Publisher•
JSTAIJ. Sci. Technol. AIOpen Access (CC BY 4.0)

NextGen Journal of Science, Technology & AI

A peer-reviewed, open-access international scholarly journal advancing foundational and applied innovations in computer science, machine intelligence, neural architectures, and scientific computing.

Print ISSN: 2834-9102•Online ISSN: 2834-9110
NextGen Journal of Science, Technology & AI cover

About the Journal & Aims & Scope

About NextGen Journal of Science, Technology & AI

NextGen Journal of Science, Technology & AI (J. Sci. Technol. AI) is a premier, peer-reviewed international academic journal published under NextGen Innovation & Research Journals. The journal is dedicated to advancing theoretical and applied scholarly research through high-impact, rigorously reviewed contributions.

#### Aims and Scope JSTAI publishes original research, systematic reviews, and technical notes spanning machine learning theory, autonomous systems, scalable cloud architectures, generative models, quantum algorithms, and computational physics. All submissions undergo double-anonymous peer review.

#### Open Access Mandate All articles published in NextGen Journal of Science, Technology & AI are made permanently and freely accessible online immediately upon publication under the terms of the Creative Commons Attribution 4.0 International License (CC BY 4.0). Authors retain full copyright of their intellectual output.

#### Peer Review and Archiving We employ a strict double-anonymous peer review protocol to guarantee objective, merit-based evaluations. All published manuscripts receive a Crossref Digital Object Identifier (DOI) and are digitally preserved across institutional and global scholarly indexing networks including Google Scholar.

CURRENT ISSUEVol. 1, No. 2 (2026)

Special Issue on Privacy-Preserving and Edge Computing

Focused on zero-knowledge verification, edge transformers, and federated learning architectures.

Published Research

2 Articles
10/17/2026DOI: 10.5555/jstai.2026.005

The Ascendancy of Artificial Intelligence in Modern Marketing Practices

Chuks Emmanuel Okolo

This research on how artificial intelligence is being used in modern-day marketing focuses understanding the current landscape, including recent trends and statistics related to AI adoption in the field of marketing. I plan to investigate the specific ways AI is being applied in marketing. This includes areas like creating personalized marketing experiences, enhancing advertising efforts, and developing AI-powered tools for content creation. I will also look into how AI is transforming customer relationship management (CRM) and customer service within marketing. This involves understanding the role of AI in managing customer data and providing support. Furthermore, I intend to explore how AI is used for marketing analytics, including its ability to analyze data, predict what customers might do next, and help optimize marketing strategies for better results. A key part of my research will be to identify the main benefits that AI brings to marketing, such as making processes more efficient, improving how precisely marketing efforts are targeted, and leading to better customer engagement. It's also important to understand the challenges and potential downsides of using AI in marketing. This includes looking at ethical considerations and limitations that need to be addressed. To illustrate the practical application of AI in marketing, I will be searching for case studies of companies that have successfully implemented AI strategies. Finally, I will aim to understand the future trends in AI for marketing and what kind of impact these advancements are likely to have on the field of marketing.

10/16/2026DOI: 10.5555/jstai.2026.004

Between the Prompt and the Case Study

Chuks, Emmanuel Okolo

Generative AI tools have become part of daily study routines faster than most universities have written rules for them. This article reports a survey of students at Lagos Business School (LBS), the graduate management school of Pan-Atlantic University, about how they use AI in six everyday learning activities and how they feel about it. A questionnaire was shared with a target of 100 students and about 97 responded. The picture is one of heavy, habitual use: 88.8% of those answering said they always use AI to prepare for case discussions, 94.2% always use it for writing, and 86.7% always use it for revision. Every respondent who answered agreed that AI makes them less likely to do the full reading, and only 41.3% said they always form their own view before consulting a tool, even though all 63 who answered said their confidence in their own analysis had grown. At the same time, 91.5% said they understand the school's rules on AI, yet 77.6% said those rules are not applied fairly, and all 93 who answered the open question asked the institution for a better policy. Respondents were unanimous that access, cost and power supply create unequal advantages. The article sets out six structured problems drawn from these results and a matching set of recommendations. Because the sample was self-selected and the data are self-reported, the findings describe attitudes and stated habits, not measured learning outcomes.

Citation Metrics

JCR 2025
4.60
2-Yr Impact Factor
5.20
5-Yr Impact Factor
CiteScore™ Tracker5.50
Google Scholar Indexed Active
Crossref DOI Prefix10.5555/jstai

Indexed globally across Google Scholar, Crossref, and OpenAlex with full Highwire Press meta citation tags. Click the masthead badge for the complete calculation report.

Editorial Board

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  • Dr. Alan K. Vance-Turing
    Associate Editor - Algorithms & Optimization
    Cambridge Computing Laboratory

Issue Archive

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Journal Information

PublisherNextGen Innovation & Research Journals
Peer Review PolicyRigorous double-anonymous peer review conducted by independent domain experts. Minimum two review reports required prior to editorial decision.
Article Processing ChargesAll article processing charges (APCs) are fully sponsored by NextGen Press Foundation for the current publishing year.
Editorial Office Inquirieschukseo@gmail.com