https://matjournals.net/nursing/index.php/JNREM/issue/feedJournal of Nursing Research, Education and Management2026-07-01T11:32:59+00:00Open Journal Systemshttps://matjournals.net/nursing/index.php/JNREM/article/view/718Research Integrity, Plagiarism, and the AI Era: A Narrative Review for Nursing Faculty Development in India2026-06-19T08:58:43+00:00Saju L. Tsajuacademic@gmail.com<p><strong><em>Background:</em></strong><em> Research integrity in Indian nursing is under strain like never before. Retractions of papers with Indian affiliations have risen sharply since 2019, predatory publishing has boomed, and the rapid uptake of generative Artificial Intelligence (AI) since November 2022 has unsettled long-standing norms of authorship, originality and honest scholarship. Nursing faculty must educate the next generation of researchers under the University Grants Commission (UGC), Indian Council of Medical Research (ICMR), Indian Nursing Council (INC) and National Medical Commission (NMC) mandates, yet many lack formal training in publication ethics.</em></p> <p><strong><em>Objective:</em></strong><em> To merge current evidence and policy on research integrity, plagiarism and AI-assisted writing, and to translate this into a Faculty Development Programme (FDP) framework for nursing faculty in India.</em></p> <p><strong><em>Methods:</em></strong><em> Narrative review of PubMed, Scopus, Google Scholar, ERIC, IndMED and ProQuest (January 2018 to April 2026), supplemented from regulatory bodies and integrity organisations, specifically UGC, ICMR, INC, NMC, COPE, ICMJE, WAME and the World Conferences on Research Integrity Foundation.</em></p> <p><strong><em>Findings:</em></strong><em> ICMR’s 2017 guidelines converge on four pillars: honesty, accountability, professionalism and stewardship. The UGC Plagiarism Regulations 2018 set graded penalties and require institutional integrity panels. Detection tools vary widely in coverage, cost and regional fit. AI tools cannot be authors under any major journal policy, and AI text detectors are unreliable for Indian and other non-native English writers. Indian retractions are driven by plagiarism, fake peer review and ethical violations.</em></p> <p><strong><em>Conclusion:</em></strong><em> Building research integrity in Indian nursing requires structured FDPs, hands-on training with detection tools, transparent AI-use disclosure, mentorship, and institutional infrastructure for reporting and adjudication</em>.</p>2026-06-19T00:00:00+00:00Copyright (c) 2026 Journal of Nursing Research, Education and Managementhttps://matjournals.net/nursing/index.php/JNREM/article/view/552Leadership and Management Practices Predicting Lecturers’ Performance in Colleges of Nursing in the Niger Delta Region of Nigeria2026-07-01T11:32:59+00:00Ojong Ofut Ogariruola@fuotuoke.edu.ngLawrence Ayah Iruoiruola@fuotuoke.edu.ngOlayide Grace Fagbuaroiruola@fuotuoke.edu.ng<p><strong><em>Introduction:</em></strong><em> Lecturers’ job performance in colleges of nursing is critical for producing competent healthcare professionals. However, concerns persist regarding the influence of leadership and administrative practices on performance in the Niger Delta region. </em></p> <p><strong><em>Objective:</em></strong><em> This study, guided by Hugo Münsterberg’s theory of industrial efficiency and Henri Fayol’s administrative management theory, examined how digital leadership and staff welfare strategies predict lecturers’ performance.</em></p> <p><strong><em>Methods:</em></strong><em> A descriptive research design was adopted. </em><em>A self-developed closed-ended questionnaire titled “</em><em>Leadership and Management Strategies and Lecturers’ Job Performance </em><em>Questionnaire (LMSLJPQ)” was developed by the researchers and was used for data collection in the study. </em><em>The population comprised 698 lecturers across 16 colleges of nursing in the Niger Delta region. Using stratified random sampling, a sample of 558 respondents was selected. Simple linear regression and multiple hierarchical linear regression were used for data analysis.</em></p> <p><strong><em>Results:</em></strong><em> Digital leadership significantly predicted lecturers’ job performance, accounting for 60.2% of the variance. Staff welfare strategy was an even stronger predictor, explaining 74.2% of the total variance in lecturers’ job performance.</em></p> <p><strong><em>Conclusion:</em></strong><em> Leadership and administrative practices are significant predictors of lecturers’ performance in colleges of nursing in the Niger Delta. Strengthening digital leadership and staff welfare strategies is likely to enhance lecturer outcomes.</em></p> <p><strong><em>Recommendation:</em></strong> <em>The Provosts in Colleges of Nursing in the Niger Delta region of Nigeria should develop modern communication practices, such as the application of information and communication technologies, to facilitate information flow in the school system. This will help them to create a work-oriented school atmosphere that can arouse the disposition of lecturers for improved job performance in the system.</em></p>2026-07-01T00:00:00+00:00Copyright (c) 2026 Journal of Nursing Research, Education and Managementhttps://matjournals.net/nursing/index.php/JNREM/article/view/692A Study on Primipara Mothers’ Awareness Regarding Exclusive Breastfeeding in a Selected Hospital in Chamarajanagar District2026-05-25T12:03:42+00:00Madhu Smpmadhumadhu4@gmail.comVinay Kumar Gmpmadhumadhu4@gmail.com<p><em>Exclusive breastfeeding during the first six months of life is essential for supporting an infant’s growth, development, and immunity. However, many first-time mothers still do not have adequate knowledge regarding proper exclusive breastfeeding practices.</em></p> <p><strong><em>Objective: </em></strong><em>To assess knowledge of exclusive breastfeeding among first-time mothers, examine its association with selected demographic variables, and develop an informational pamphlet to improve awareness.</em></p> <p><strong><em>Methodology: </em></strong><em>A descriptive research design was adopted for the study, which was conducted in the postnatal wards of selected hospitals in Chamarajanagar district. A total of 60 primiparous mothers were selected using a random sampling technique. Data were collected using a structured questionnaire to evaluate knowledge regarding exclusive breastfeeding.</em></p> <p><strong><em>Results: </em></strong><em>The study findings showed that 55% of mothers had adequate knowledge, 10% had moderate knowledge, and 35% had inadequate knowledge. Most participants were in the 18–25 years age group, had completed high school education, belonged to nuclear families, and lived in rural areas. More than half of the respondents reported healthcare professionals as their main source of information.</em></p> <p><em>Chi-square analysis revealed a statistically significant association between knowledge level and variables such as age and educational status (p < 0.05). No significant association was observed with other variables, including income, occupation, residence, religion, family type, and source of information (p > 0.05).</em></p> <p><strong><em>Conclusion: </em></strong><em>The study concludes that while more than half of the mothers had adequate knowledge, a considerable proportion still lacked sufficient understanding of exclusive breastfeeding. This highlights the need for strengthened health education, counselling, and awareness programs to improve breastfeeding practices and promote better maternal and child health outcomes.</em></p>2026-05-25T00:00:00+00:00Copyright (c) 2026 Journal of Nursing Research, Education and Management