Authors: Abdalla E. Ali*, Baraa A. Eltoum, & Alneil M. Hamza
Published Date: 10 February, 2026
Cite: Ali A. E., Eltoum B. A., and Hamza A. M., “Establishing ethical boundaries for the use of artificial intelligence tools in manuscript drafting and peer review processes, ” Crystal Journal of Artificial Intelligence and Applications, vol. 2, no. 1, pp. 1–10.
Abstract
Background: Artificial intelligence (AI) tools are increasingly integrated into manuscript drafting and peer review processes. While these tools offer efficiency and linguistic support, their use raises ethical concerns regarding authorship, bias, transparency, data integrity, and accountability.
Objective: This systematic review synthesizes evidence published between 2014 and 2024 to examine ethical challenges associated with AI-assisted manuscript preparation and peer review, and to identify best-practice recommendations for responsible use.
Methodology: A systematic review of literature published between 2014 and 2025 was conducted using databases such as PubMed, Scopus, and Web of Science. Search terms included combinations of “artificial intelligence, ” “manuscript writing, ” “peer review, ” “ethics, ” and “academic publishing.” Articles were selected based on relevance, methodological quality, and direct discussion of ethical implications. Guidelines from major publishing bodies, such as COPE, ICMJE, and WAME, were also analyzed. A systematic review of 26 eligible studies was conducted.
Results: Findings indicate a growing reliance on AI tools for tasks such as language editing, summarization, and preliminary peer review. While these tools enhance efficiency, concerns were identified regarding improper attribution, data manipulation, and diminished human oversight. Notably, few journals currently provide explicit policies regulating AI use. Ethical gaps exist in transparency, disclosure requirements, and standards for evaluating AI-generated content.
Conclusion: The ethical use of AI in manuscript preparation and peer review requires clear guidelines that emphasize transparency, human accountability, and disclosure. Publishers, academic institutions, and researchers must collaborate to define responsible use policies that uphold scholarly standards and trust in scientific communication. Establishing robust ethical boundaries is crucial for mitigating risks and harnessing the benefits of AI without compromising research integrity.
Authors: Ejinkeonye-Christian, P. C* & Ikehi, M. E
Published Date: 05 January, 2026
Cite: P. C. Ejinkeonye-Christian and M. E. Ikehi, “Branding Awareness and Challenges in Agribusiness: An Exploratory Analysis Among Agricultural Education Students in University of Nigeria Nsukka,” Crystal Journal of Artificial Intelligence and Applications, vol. 2, no. 1, pp. 01–06, 2026.
Abstract
As competition increases in Agribusiness sector, strong branding has become crucial for success in every agripreneur’s business. However, many small-scale agripreneurs remain unaware of the importance and benefits of business branding, thereby limiting their business growth. Agricultural education students in Nigeria – the future of agribusiness – are expected to develop branding competence. Unfortunately, they may still face the same branding challenges as current small-scale agribusiness owners.
Adopting a descriptive survey approach, this study explores branding awareness, perception, and challenges among Agricultural education students at University of Nigeria Nsukka. Data was collected through a structured questionnaire administered to over 40 students via physical form distribution. The study employed descriptive statistics to analyze branding awareness levels and thematic analysis to categorize common branding challenges faced by students.
Preliminary findings indicate that while students recognize the importance of branding, their practical knowledge is limited, and they face challenges such as limited financial resources, difficulty leveraging financial resources, lack of branding education, difficulty leveraging digital branding tools and techniques, and limited access to branding mentorship.
This study highlights the need to integrate branding education into Agricultural Education programs, organize practical branding workshops, provide open access to resources, tools, and techniques, and strategic mentorship programs between students and agribusiness professionals to enhance branding knowledge, skills, and experience.
By implementing these strategies, future agribusiness professionals will be better equipped to create strong brands and successfully position their businesses for visibility, growth, and profitability in Nigeria’s agribusiness sector and beyond.
Keywords
Branding Awareness, Agricultural Education, Agribusiness Challenges, Agricultural Entrepreneurship, Agripreneurship Training
Authors: Prof. Mohiyuddeen Hafzal*
Published Date: 02 January, 2026
Cite: M. Hafzal, “The role of digital transformation in redesigning business models in the post-pandemic era,” Crystal Journal of Artificial Intelligence and Applications, vol. 2, no. 1, pp. 01-05, 2026.
Abstract
The COVID-19 pandemic has significantly accelerated the digital transformation of businesses, compelling organizations to adapt quickly to changing market conditions, consumer behaviors, and technological advancements. This paper explores the role of digital transformation in reshaping business models in the post-pandemic era. It examines how businesses have leveraged digital technologies to innovate, enhance operational efficiency, and meet evolving customer expectations. The study highlights key trends such as the shift towards remote work, e-commerce growth, data-driven decision-making, and the integration of Artificial Intelligence and automation into business processes. Additionally, the paper discusses the challenges businesses face in implementing digital transformation, including cybersecurity risks, digital skills gaps, and the need for a cultural shift. Drawing on case studies across industries, the paper provides insights into how organizations can strategically redesign their business models to remain competitive and sustainable in the future. The findings underscore the importance of continuous digital evolution and the need for a long-term commitment to innovation in the post-pandemic business landscape.
Keywords
Digital Transformation, Business Models, Post-Pandemic Era, E-commerce, Automation
