Category Archives: International Journal in Management Research and Social Science (IJMRSS)

Impact of AI on Labour Teaching Technologies

Author
Dr. E. Karthikeyan, M.S.Shriram Sivasangarasamy, T.Rasika
Keywords
Artificial Intelligence (AI); Educational Innovation; Teachers Learn and Integrate AI; Student Learning.
Abstract
This study examines how teachers use Artificial Intelligence (AI) in both their classroom teaching and their professional development. Although AI has become an important part of educational innovation, most existing research focuses mainly on how AI tools are used with students, rather than how teachers themselves learn to use these technologies. To understand this gap, a systematic review was conducted on studies published between 2015 and 2024. Following the PRISMA guidelines, the review included a careful process of searching, screening, and selecting relevant literature. A total of 95 research articles were identified and analysed. Each study was reviewed to understand, how teachers are using AI in their teaching practices, what are the kinds of professional development opportunities are available to help teachers learn and integrate AI effectively. The analysis showed a clear imbalance in research distribution. About 65 per cent of the studies focused on how AI is used directly in teaching—such as conversational AI tools, AI-based learning and assessment systems, immersive technologies, visual/audio computing, and learning analytics. In contrast, only 35 per cent of the studies examined how AI supports teachers’ professional development. The findings reveal a significant gap: while AI is becoming more common in classrooms, much less attention is given to how teachers can be trained and supported in using these technologies. This review suggests that future research should place greater emphasis on teachers’ development needs and explore how AI can strengthen both teaching practices and student learning. It also highlights the importance of addressing technological and ethical issues to ensure that AI is used responsibly in education.
References
[1] Baker, R. S., & Hawn, A. (2021). Algorithmic bias in education. International Journal of Artificial Intelligence in Education, 32(4), 1052–1092.
[2] Braun, V., & Clarke, V. (2006). Using thematic analysis in psychology. Qualitative Research in Psychology, 3(2), 77–101.
[3] Celik, I., Dindar, M., Muukkonen, H., & Järvelä, S. (2022). The promises and challenges of artificial intelligence for teachers: A systematic review of research. TechTrends, 66(4), 616–630.
[4] Chen, L., Chen, P., & Lin, Z. (2022). Artificial intelligence in education: A review. IEEE Access, 8, 75264–75278.
[5] Ertmer, P. A., & Ottenbreit-Leftwich, A. T. (2013). Removing obstacles to the pedagogical changes required by Jonassen’s vision of authentic technology-enabled learning. Computers & Education, 64, 175–182.
[6] Gillani, N., Eynon, R., Chiabaut, C., & Finkel, K. (2023). Unpacking the black box of AI in education. Educational Technology & Society, 26(1), 99–111.
[7] Holmes, W., Bialik, M., & Fadel, C. (2019). Artificial intelligence in education: Promises and implications for teaching and learning. Center for Curriculum Redesign.
[8] Kasneci, E., Sessler, K., Küchemann, S., Bannert, M., Dementieva, D., Fischer, F., … & Kasneci, G. (2023). ChatGPT for good? On opportunities and challenges of large language models for education. Learning and Individual Differences, 103, 102274.
[9] Leung, J. K. L., Chu, S. K. W., & Qiao, M. S. (2021). Conceptualizing AI literacy: An exploratory review. Computers and Education: Artificial Intelligence, 2, 100041.10(1), 1–11.
[10] Radianti, J., Majchrzak, T. A., Fromm, J., & Wohlgenannt, I. (2020). A systematic review of immersive virtual reality applications for higher education: Design elements, lessons learned, and research agenda. Computers & Education, 147, 103778.
[11] Trust, T., Whalen, J., & Mouza, C. (2023). Editorial: Preparing teachers to teach with AI: Contexts, approaches, and evaluations. Contemporary Issues in Technology and Teacher Education, 23(1), 1–9.
[12] Viberg, O., Hatakka, M., Bälter, O., & Mavroudi, A. (2018). The current landscape of learning analytics in higher education. Computers in Human Behavior, 89, 98–110.
[13] Zawacki-Richter, O., Marín, V. I., Bond, M., & Gouverneur, F. (2019). Systematic review of research on artificial intelligence applications in higher education – where are the educators? International Journal of Educational Technology in Higher Education, 16(1), 1–27.


Received : 10 March 2026
Accepted : 20 May 2026
Published : 25 May 2026
DOI: 10.30726/ijmrss/v13.i2.2026.13266

66.-karthikeyan-paper.pdf

A Process Optimization on End-to-End Invoice Documentation in Global Freight Operations: A Study of DahNAY Logistics

Author
Mohamed Afridi B, Dr. G. Amutha
Keywords
Freight Forwarding; End-to-End Documentation; Invoicing; Supply Chain Efficiency; Agentic AI; Customs Clearance; Digital Logistics; Process Optimization
Abstract
This study examines the efficiency of end-to-end documentation and invoicing within the global freight forwarding operations of DahNAY Logistics, Chennai, and proposes process improvements for accuracy, compliance, and operational performance. Design/methodology/approach: A descriptive research design is adopted, integrating insights from the company’s operational workflows and inter-departmental coordination practices with secondary data from peer-reviewed academic literature, industry benchmarks, and global logistics reports for the period 2024–2026. Findings: The analysis demonstrates that operational bottlenecks at DahNAY Logistics arise primarily from manual documentation, invoicing errors, and gaps in inter-departmental coordination. Adoption of Agentic AI, OCR/Intelligent Document Processing, blockchain, and digital twin–enabled control towers can reduce manual paperwork by up to 60%, cut customs clearance times by 75%, and raise on-time in-full performance toward the 95% global benchmark. Originality/value: The paper offers a firm-level synthesis of emerging logistics technologies and standardisation practices for a mid-sized Indian freight forwarder, and proposes a practical roadmap for transitioning from linear documentation processing toward AI-orchestrated, human-centred motion-control logistics.
References
Akash, R., Suresh, N. V., Sumathy, M., & Gnanadasan, M. L. (2026). Coalescing Technology and STEM Pedagogy Through 3D Printing: A Socio-Technical Perspective. In R. Vettriselvan & N. Suresh (Eds.), Intelligent Motion Control for Human-Centered Systems (pp. 283–304). IGI Global Scientific Publishing
[2] Aravind, D., Thamizhselvan, R., Reddy, E., Ramachandran, N., & Rajkumar, D. M. (2026). Mathematical Perspectives on Advanced Motion Control Techniques for Modern Mechatronic Applications. In R. Vettriselvan & N. Suresh (Eds.), Methodologies and Applications of Intelligent Motion Control Systems (pp. 269–296). IGI Global Scientific Publishing.
[3] Arockia, V. J., Vettriselvan, R., Rajesh, D., Velmurugan, P. R. R., & Cheelo, C. (2025). Leveraging AI and learning analytics for enhanced distance learning: Transformation in education. In AI and Learning Analytics in Distance Learning (pp. 179–206). IGI Global.
[4] Asrafi, S., Aruna, L., Catherin, T. C., Poongavanam, S., & Padmavathy, N. (2026). Intelligent Motion Control in Smart Warehousing: Logistics, Inventory, and Automated Picking Systems. In R. Vettriselvan & N. Suresh (Eds.), Intelligent Motion Control for Human-Centered Systems (pp. 205–232). IGI Global Scientific Publishing. https://doi.org/10.4018/979-8-3373-8241-8.ch009
[5] Aumose, L., & Raj, M. A. (2026). Applications of Intelligent Motion Control Systems in Promoting Mental Health and Human-Centered Support for Higher Secondary Students. In R. Vettriselvan & N. Suresh (Eds.), Intelligent Motion Control for Human-Centered Systems (pp. 127–152). IGI Global Scientific Publishing.
[6] Balakrishnan, R., Muthumani, S., Sangeetha, V., Savariapitchai, M., & Agarwal, A. (2026). Motion Control Systems for 3D Printing: Design, Integration, and Optimization. In R. Vettriselvan & N. Suresh (Eds.), Methodologies and Applications of Intelligent Motion Control Systems (pp. 25–50). IGI Global Scientific Publishing. https://doi.org/10.4018/979-8-3693-3637-3.ch002
[7] Balamurugan, A., John, E. P., Gokulakrishnan, A., Delecta Jenifer, R., & Jyothi, P. (2026). AI-Powered Motion Control for Lean Manufacturing and Workflow Automation. In R. Vettriselvan & N. Suresh (Eds.), Methodologies and Applications of Intelligent Motion Control Systems (pp. 243–268). IGI Global Scientific Publishing. https://doi.org/10.4018/979-8-3693-3637-3.ch010
[8] Bowersox, D. J., Closs, D. J., & Cooper, M. B. (2019). Supply Chain Logistics Management (5th ed.). McGraw-Hill.
[9] Catherine, S., Nasrin Sulthana, M., Manimaran, M., Praba Devi, P., & Akila, R. (2026). Cyber-Physical Systems and Cloud Robotics for Global Supply Chain Resilience. In R. Vettriselvan & N. Suresh (Eds.), Methodologies and Applications of Intelligent Motion Control Systems (pp. 133–158). IGI Global Scientific Publishing. https://doi.org/10.4018/979-8-3693-3637-3.ch006
[10] Christopher, M. (2016). Logistics and Supply Chain Management (5th ed.). Pearson Education.
[11] Deepa, R., Swadhi, R., Udayavani, V., Lakshmi, R., & Rafiq, S. (2026). Motion-Controlled Wearables for Physiological Monitoring and Predictive Diagnostics. In R. Vettriselvan & N. Suresh (Eds.), Intelligent Motion Control for Human-Centered Systems (pp. 1–28). IGI Global Scientific Publishing. https://doi.org/10.4018/979-8-3373-8241-8.ch001
[12] Deepika, R., Nithya, S., Durgarani, M., Delecta Jenifer, R., & Prakash, K. (2026). Decision-Making Frameworks for Integrating Motion Control in Business Operations. In R. Vettriselvan & N. Suresh (Eds.), Methodologies and Applications of Intelligent Motion Control Systems (pp. 159–188). IGI Global Scientific Publishing. https://doi.org/10.4018/979-8-3693-3637-3.ch007
[13] Divya Ranjani, R., Anitha, L., Manokaran, D., Selvi, K., Suresh Kumar, A., & Prithvi, S. (2026). Strategic Managerial Deployment of Flexible Robotics in Industry 5.0: A Human-Centric and Resilient Perspective. In R. Vettriselvan & N. Suresh (Eds.), Intelligent Motion Control for Human-Centered Systems (pp. 259–282). IGI Global Scientific Publishing.
[14] Helo, P., & Szekely, B. (2005). Logistics Information Systems: An Analysis of Software Solutions for Supply Chain Coordination. Industrial Management & Data Systems, 105(1), 5–18.
[15] Joseph, H. S., Devaraj, A. R., Priscila, A., Selvalakshmi, V., & Rameshkumaar, V. P. (2026). Advancing Sustainable Civil Engineering Through Intelligent Motion Control: Construction Equipment and Infrastructure Development. In R. Vettriselvan & N. Suresh (Eds.), Methodologies and Applications of Intelligent Motion Control Systems (pp. 105–132). IGI Global Scientific Publishing. https://doi.org/10.4018/979-8-3693-3637-3.ch005
[16] Kache, F., & Seuring, S. (2017). Challenges and opportunities of digital information at the intersection of Big Data Analytics and supply chain management. International Journal of Operations & Production Management, 37(1), 10–36.
[17] Klippa. (2022). Optical Character Recognition and Intelligent Document Processing in invoice automation. Klippa Industry Report.
[18] Lambert, D. M., & Cooper, M. C. (2000). Issues in Supply Chain Management. Industrial Marketing Management, 29(1), 65–83.
[19] Natarajan, P., Saravanan, A., Krishnakumar, B., Chandralekha, V., & Suresh Kumar, A. (2026). Motion Control Strategies in Assistive Devices for Elderly and Differently-Abled Patients. In R. Vettriselvan & N. Suresh (Eds.), Intelligent Motion Control for Human-Centered Systems (pp. 103–126). IGI Global Scientific Publishing. https://doi.org/10.4018/979-8-3373-8241-8.ch005
[20] Pavithra, M. R., Chitra, V., Subhashini, V., Hemalatha, D., & Kiran, S. R. (2026). Intelligent Prosthetics Motion Learning and Neuro-Muscular Feedback Integration. In R. Vettriselvan & N. Suresh (Eds.), Intelligent Motion Control for Human-Centered Systems (pp. 77–102). IGI Global Scientific Publishing. https://doi.org/10.4018/979-8-3373-8241-8.ch004
[21] Pradeepa, S. V., Gokilavani, R., Deepan, A., Sridevi, J., & Selvi, K. (2026). Predictive Maintenance and Asset Management Using Motion Analytics. In R. Vettriselvan & N. Suresh (Eds.), Methodologies and Applications of Intelligent Motion Control Systems (pp. 75–104). IGI Global Scientific Publishing. https://doi.org/10.4018/979-8-3693-3637-3.ch004
[22] Rajeswari, M., Rohini, V., Sathya Aarthi, R., Rameshkumaar, V. P., & Arul Krishnan, S. (2026). Blockchain 2.0 for Secure, Transparent, and Autonomous Logistics Systems: Next-Gen Innovation in Supply Chain Systems. In R. Vettriselvan & N. Suresh (Eds.), Intelligent Motion Control for Human-Centered Systems (pp. 233–258). IGI Global Scientific Publishing. https://doi.org/10.4018/979-8-3373-8241-8.ch010
[23] Ramya, R., Ruben Anto, M., Kalpana Devi, J. K., Davidson, P., & Leelavathi, S. (2026). Industry 5.0: Human–AI symbiosis in motion-controlled logistics and management. In R. Vettriselvan & N. Suresh (Eds.), Intelligent Motion Control for Human-Centered Systems (pp. 179–204). IGI Global Scientific Publishing.
[24] Sanders, N. R. (2016). How to Use Big Data to Drive Your Supply Chain. California Management Review, 58(3), 26–48.
[25] Saranya Devi, R., Yasaswini, M., Rahamath Nisha, A., Divya Ranjani, R., & Suresh Kumar, A. (2026). Collective Intelligence and Swarm Robotics: Decentralized Strategies for Adaptive and Resilient Motion Control. In R. Vettriselvan & N. Suresh (Eds.), Methodologies and Applications of Intelligent Motion Control Systems (pp. 51–74). IGI Global Scientific Publishing.
[26] Selvi, K., Anbarasan, P., Madhumita, G., Janaki, L., & Devi, K. K. (2026). Governance, Security, and Ethical Considerations in AI-Driven Motion Control Systems. In R. Vettriselvan & N. Suresh (Eds.), Methodologies and Applications of Intelligent Motion Control Systems (pp. 217–242). IGI Global Scientific Publishing. https://doi.org/10.4018/979-8-3693-3637-3.ch009
[27] Subramani, M., Chillagattu, V., Gayathri, K., Rastogi, V., & Ranganathan, S. (2026). Digital Twin Integration for Predictive and Real-Time Motion Control in Infrastructure Engineering. In R. Vettriselvan & N. Suresh (Eds.), Methodologies and Applications of Intelligent Motion Control Systems (pp. 189–216). IGI Global Scientific Publishing.
[28] Suresh, N. V., Hemalatha, S., Lakshmi, S. J., Mounica, C., & Kalaivani, M. (2026). AI-Enabled Motion Control in Surgical Robotics: Precision, Dexterity, and Real-Time Adaptation. In R. Vettriselvan & N. Suresh (Eds.), Intelligent Motion Control for Human-Centered Systems (pp. 29–50). IGI Global Scientific Publishing. https://doi.org/10.4018/979-8-3373-8241-8.ch002
[29] Thiyagarajan, R., Vijayakumar, M., Sangeetha, V., Savariapitchai, M., & Sangeetha, P. (2026). Optimization of Robotic Material Handling Systems in Industrial Supply Chains. In R. Vettriselvan & N. Suresh (Eds.), Methodologies and Applications of Intelligent Motion Control Systems (pp. 297–322). IGI Global Scientific Publishing. https://doi.org/10.4018/979-8-3693-3637-3.ch012
[30] Velmurugan, P. R., Karthik, M. V., Venkatesan, S., Sadeesh kumar, A., & Madhurikkha, S. (2026). AI-Based Optimization of Controllers and Converters in Motion Control Systems. In R. Vettriselvan & N. Suresh (Eds.), Methodologies and Applications of Intelligent Motion Control Systems (pp. 1–24). IGI Global Scientific Publishing.
[31] Venice, A., Swadhi, R., Gayathri, K., Chandra, P., & Sajana, K. P. (2026). Rehabilitation Robotics and Adaptive Motion Planning for Patient-Centric Care. In R. Vettriselvan & N. Suresh (Eds.), Intelligent Motion Control for Human-Centered Systems (pp. 51–76). IGI Global Scientific Publishing. https://doi.org/10.4018/979-8-3373-8241-8.ch003

Received : 12 March 2026
Accepted : 15 May 2026
Published : 20 May 2026
DOI: 10.30726/ijmrss/v13.i2.2026.13265

65.-Mohamed-Afridi.pdf

Effectiveness of Meme Marketing in Influencing Gen Z Purchase Intentions

Author
D. Tharun Krishna, Dr. G. Amutha
Keywords
Meme Marketing; Generation Z; Consumer Behaviour; Purchase Intention; Social Media Marketing; Brand Awareness
Abstract
This study examines the effectiveness of meme marketing as a digital promotional strategy and its influence on the purchase intentions of Generation Z consumers in the Indian context.
Design / methodology / approach: A descriptive research design was adopted, combining primary data collected from 120 Gen Z respondents through a structured online questionnaire with secondary data drawn from peer-reviewed journals and digital marketing reports.
Data were analysed using percentage analysis, mean analysis, the chi-square test, and Karl Pearson’s correlation coefficient.
Findings: The results indicate that meme-based advertisements exert a statistically significant influence on Gen Z purchase decisions (X^2=14.82, p lessthan 0.05) with a strong positive correlation (r = 0.94) between social media usage and engagement with meme content. Humour, relatability, entertainment value, and cultural relevance emerged as the dominant drivers of brand recall and purchase intention. Originality/value: The study contributes to the limited empirical literature on meme marketing in emerging markets by providing primary evidence from Indian Gen Z consumers and offering practical guidance for marketers seeking to design humour-led, culturally resonant digital campaigns.
References
[1] Akash, R., Suresh, N. V., Sumathy, M., & Gnanadasan, M. L. (2026). Coalescing Technology and STEM Pedagogy Through 3D Printing: A Socio-Technical Perspective. In R. Vettriselvan & N. Suresh (Eds.), Intelligent Motion Control for Human-Centered Systems (pp. 283–304). IGI Global Scientific Publishing. https://doi.org/10.4018/979-8-3373-8241-8.ch012
[2] Aravind, D., Thamizhselvan, R., Reddy, E., Ramachandran, N., & Rajkumar, D. M. (2026). Mathematical Perspectives on Advanced Motion Control Techniques for Modern Mechatronic Applications. In R. Vettriselvan & N. Suresh (Eds.), Methodologies and Applications of Intelligent Motion Control Systems (pp. 269–296). IGI Global Scientific Publishing. https://doi.org/10.4018/979-8-3693-3637-3.ch011
[3] Arockia, V. J., Vettriselvan, R., Rajesh, D., Velmurugan, P. R. R., & Cheelo, C. (2025). Leveraging AI and learning analytics for enhanced distance learning: Transformation in education. In AI and Learning Analytics in Distance Learning (pp. 179–206). IGI Global.
[4] Asrafi, S., Aruna, L., Catherin, T. C., Poongavanam, S., & Padmavathy, N. (2026). Intelligent Motion Control in Smart Warehousing: Logistics, Inventory, and Automated Picking Systems. In R. Vettriselvan & N. Suresh (Eds.), Intelligent Motion Control for Human-Centered Systems (pp. 205–232). IGI Global Scientific Publishing. https://doi.org/10.4018/979-8-3373-8241-8.ch009
[5] Aumose, L., & Raj, M. A. (2026). Applications of Intelligent Motion Control Systems in Promoting Mental Health and Human-Centered Support for Higher Secondary Students. In R. Vettriselvan & N. Suresh (Eds.), Intelligent Motion Control for Human-Centered Systems (pp. 127–152). IGI Global Scientific Publishing. https://doi.org/10.4018/979-8-3373-8241-8.ch006
[6] Balakrishnan, R., Muthumani, S., Sangeetha, V., Savariapitchai, M., & Agarwal, A. (2026). Motion Control Systems for 3D Printing: Design, Integration, and Optimization. In R. Vettriselvan & N. Suresh (Eds.), Methodologies and Applications of Intelligent Motion Control Systems (pp. 25–50). IGI Global Scientific Publishing. https://doi.org/10.4018/979-8-3693-3637-3.ch002
[7] Balamurugan, A., John, E. P., Gokulakrishnan, A., Delecta Jenifer, R., & Jyothi, P. (2026). AI-Powered Motion Control for Lean Manufacturing and Workflow Automation. In R. Vettriselvan & N. Suresh (Eds.), Methodologies and Applications of Intelligent Motion Control Systems (pp. 243–268). IGI Global Scientific Publishing. https://doi.org/10.4018/979-8-3693-3637-3.ch010
[8] Catherine, S., Nasrin Sulthana, M., Manimaran, M., Praba Devi, P., & Akila, R. (2026). Cyber-Physical Systems and Cloud Robotics for Global Supply Chain Resilience. In R. Vettriselvan & N. Suresh (Eds.), Methodologies and Applications of Intelligent Motion Control Systems (pp. 133–158). IGI Global Scientific Publishing. https://doi.org/10.4018/979-8-3693-3637-3.ch006
[9] Deepa, R., Swadhi, R., Udayavani, V., Lakshmi, R., & Rafiq, S. (2026). Motion-Controlled Wearables for Physiological Monitoring and Predictive Diagnostics. In R. Vettriselvan & N. Suresh (Eds.), Intelligent Motion Control for Human-Centered Systems (pp. 1–28). IGI Global Scientific Publishing. https://doi.org/10.4018/979-8-3373-8241-8.ch001
[10] Deepika, R., Nithya, S., Durgarani, M., Delecta Jenifer, R., & Prakash, K. (2026). Decision-Making Frameworks for Integrating Motion Control in Business Operations. In R. Vettriselvan & N. Suresh (Eds.), Methodologies and Applications of Intelligent Motion Control Systems (pp. 159–188). IGI Global Scientific Publishing. https://doi.org/10.4018/979-8-3693-3637-3.ch007
[11] Divya Ranjani, R., Anitha, L., Manokaran, D., Selvi, K., Suresh Kumar, A., & Prithvi, S. (2026). Strategic Managerial Deployment of Flexible Robotics in Industry 5.0: A Human-Centric and Resilient Perspective. In R. Vettriselvan & N. Suresh (Eds.), Intelligent Motion Control for Human-Centered Systems (pp. 259–282). IGI Global Scientific Publishing. https://doi.org/10.4018/979-8-3373-8241-8.ch011
[12] Gupta, A., & Verma, S. (2022). Influence of meme marketing on Generation Z consumers. International Journal of Management and Commerce Innovations, 10(2), 234–240.
[13] Joseph, H. S., Devaraj, A. R., Priscila, A., Selvalakshmi, V., & Rameshkumaar, V. P. (2026). Advancing Sustainable Civil Engineering Through Intelligent Motion Control: Construction Equipment and Infrastructure Development. In R. Vettriselvan & N. Suresh (Eds.), Methodologies and Applications of Intelligent Motion Control Systems (pp. 105–132). IGI Global Scientific Publishing. https://doi.org/10.4018/979-8-3693-3637-3.ch005
[14] Khan, M. (2020). Social media meme marketing and consumer purchase intention. Journal of Digital Marketing and Consumer Behaviour, 5(1), 44–51.
[15] Kotler, P., & Keller, K. L. (2016). Marketing management (15th ed.). Pearson Education.
[16] Natarajan, P., Saravanan, A., Krishnakumar, B., Chandralekha, V., & Suresh Kumar, A. (2026). Motion Control Strategies in Assistive Devices for Elderly and Differently-Abled Patients. In R. Vettriselvan & N. Suresh (Eds.), Intelligent Motion Control for Human-Centered Systems (pp. 103–126). IGI Global Scientific Publishing. https://doi.org/10.4018/979-8-3373-8241-8.ch005
[17] Pavithra, M. R., Chitra, V., Subhashini, V., Hemalatha, D., & Kiran, S. R. (2026). Intelligent Prosthetics Motion Learning and Neuro-Muscular Feedback Integration. In R. Vettriselvan & N. Suresh (Eds.), Intelligent Motion Control for Human-Centered Systems (pp. 77–102). IGI Global Scientific Publishing. https://doi.org/10.4018/979-8-3373-8241-8.ch004
[18] Pradeepa, S. V., Gokilavani, R., Deepan, A., Sridevi, J., & Selvi, K. (2026). Predictive Maintenance and Asset Management Using Motion Analytics. In R. Vettriselvan & N. Suresh (Eds.), Methodologies and Applications of Intelligent Motion Control Systems (pp. 75–104). IGI Global Scientific Publishing. https://doi.org/10.4018/979-8-3693-3637-3.ch004
[19] Rajeswari, M., Rohini, V., Sathya Aarthi, R., Rameshkumaar, V. P., & Arul Krishnan, S. (2026). Blockchain 2.0 for Secure, Transparent, and Autonomous Logistics Systems: Next-Gen Innovation in Supply Chain Systems. In R. Vettriselvan & N. Suresh (Eds.), Intelligent Motion Control for Human-Centered Systems (pp. 233–258). IGI Global Scientific Publishing. https://doi.org/10.4018/979-8-3373-8241-8.ch010
[20] Ramesh, P., & Priya, K. (2023). Effectiveness of meme-based advertisements on purchase decisions among college students. International Journal of Research in Commerce and Management Studies, 7(3), 88–96.
[21] Ramya, R., Ruben Anto, M., Kalpana Devi, J. K., Davidson, P., & Leelavathi, S. (2026). Industry 5.0: Human–AI symbiosis in motion-controlled logistics and management. In R. Vettriselvan & N. Suresh (Eds.), Intelligent Motion Control for Human-Centered Systems (pp. 179–204). IGI Global Scientific Publishing. https://doi.org/10.4018/979-8-3373-8241-8.ch008
[22] Saranya Devi, R., Yasaswini, M., Rahamath Nisha, A., Divya Ranjani, R., & Suresh Kumar, A. (2026). Collective Intelligence and Swarm Robotics: Decentralized Strategies for Adaptive and Resilient Motion Control. In R. Vettriselvan & N. Suresh (Eds.), Methodologies and Applications of Intelligent Motion Control Systems (pp. 51–74). IGI Global Scientific Publishing. https://doi.org/10.4018/979-8-3693-3637-3.ch003
[23] Selvi, K., Anbarasan, P., Madhumita, G., Janaki, L., & Devi, K. K. (2026). Governance, Security, and Ethical Considerations in AI-Driven Motion Control Systems. In R. Vettriselvan & N. Suresh (Eds.), Methodologies and Applications of Intelligent Motion Control Systems (pp. 217–242). IGI Global Scientific Publishing. https://doi.org/10.4018/979-8-3693-3637-3.ch009
[24] Sharma, R. (2021). Impact of meme marketing on consumer engagement among youth. International Journal of Creative Research Thoughts, 9(6), 1452–1458.
[25] Singh, H., & Kaur, J. (2021). Viral meme marketing and brand awareness in social media platforms. Asian Journal of Management Research, 12(1), 65–73.
[26] Subramani, M., Chillagattu, V., Gayathri, K., Rastogi, V., & Ranganathan, S. (2026). Digital Twin Integration for Predictive and Real-Time Motion Control in Infrastructure Engineering. In R. Vettriselvan & N. Suresh (Eds.), Methodologies and Applications of Intelligent Motion Control Systems (pp. 189–216). IGI Global Scientific Publishing. https://doi.org/10.4018/979-8-3693-3637-3.ch008
[27] Suresh, N. V., Hemalatha, S., Lakshmi, S. J., Mounica, C., & Kalaivani, M. (2026). AI-Enabled Motion Control in Surgical Robotics: Precision, Dexterity, and Real-Time Adaptation. In R. Vettriselvan & N. Suresh (Eds.), Intelligent Motion Control for Human-Centered Systems (pp. 29–50). IGI Global Scientific Publishing. https://doi.org/10.4018/979-8-3373-8241-8.ch002
[28] Thiyagarajan, R., Vijayakumar, M., Sangeetha, V., Savariapitchai, M., & Sangeetha, P. (2026). Optimization of Robotic Material Handling Systems in Industrial Supply Chains. In R. Vettriselvan & N. Suresh (Eds.), Methodologies and Applications of Intelligent Motion Control Systems (pp. 297–322). IGI Global Scientific Publishing. https://doi.org/10.4018/979-8-3693-3637-3.ch012
[29] Velmurugan, P. R., Karthik, M. V., Venkatesan, S., Sadeesh kumar, A., & Madhurikkha, S. (2026). AI-Based Optimization of Controllers and Converters in Motion Control Systems. In R. Vettriselvan & N. Suresh (Eds.), Methodologies and Applications of Intelligent Motion Control Systems (pp. 1–24). IGI Global Scientific Publishing. https://doi.org/10.4018/979-8-3693-3637-3.ch001
[30] Venice, A., Swadhi, R., Gayathri, K., Chandra, P., & Sajana, K. P. (2026). Rehabilitation Robotics and Adaptive Motion Planning for Patient-Centric Care. In R. Vettriselvan & N. Suresh (Eds.), Intelligent Motion Control for Human-Centered Systems (pp. 51–76). IGI Global Scientific Publishing. https://doi.org/10.4018/979-8-3373-8241-8.ch003
[31] Vinodh, N., & Subramani, A. K. (2026). Augmented and Virtual Reality for Training and Operations in Motion-Control Environments. In R. Vettriselvan & N. Suresh (Eds.), Intelligent Motion Control for Human-Centered Systems (pp. 153–178). IGI Global Scientific Publishing. https://doi.org/10.4018/979-8-3373-8241-8.ch007

Received : 12 March 2026
Accepted : 13 May 2026
Published : 20 May 2026
DOI: 10.30726/ijmrss/v13.i2.2026.13264

64.-Tharun-Meme-Marketing.pdf

The Algorithmic Manager Paradox: Deconstructing the Chief AI Orchestrator’s Role in Modern HRM

Author
Muhammad Alkirom Wildan
Keywords
HRM; Algorithmic Management; Chief AI Orchestrator; Sociotechnical Systems.
Abstract
The paper explores the critical transition of Human Resource Management from a traditional support function to the role of Chief AI Orchestrator, analyzing the Algorithmic Manager paradox, in which technical efficiency often triggers a decline in organizational trust and employee agency. Utilizing a critical literature review and qualitative meta-analysis of shifts observed in 2025–2026, the study evaluates how Black Box decision-making and surveillance-based metrics create algorithmic alienation and a transparency vacuum that undermines psychological contracts. The findings indicate that while predictive modeling may reduce turnover costs, active time tracking frequently fails to capture high-value cognitive output, leading to misaligned appraisals and a growing digital divide. Despite limitations to early 2026 tech adopters, the research offers significant practical implications, advising organizations to implement Human-in-the-loop (HITL) protocols and pivot HR toward ethical auditing to protect corporate culture. Ultimately, this review identifies a 2026 inflection point at which HR’s value proposition shifts from administrative to ethical orchestration, offering a novel framework for governing the tension between data-driven productivity and human-centric leadership.
References
Ali, A., Cichoń, D., & Abbas, A. (2026). AI-driven HRM digitization in effect: Mechanisms, conditions, and employee outcomes. Journal of Innovation and Knowledge, 13. https://doi.org/10.1016/ j.jik. 2025. 100919.
Ali, Adnan, Yang, Q., Ali, Afzaal, Ali, Z., & Noman, M. (2025). How and when AI-driven capabilities foster organizational sustainability: A moderated mediation analysis of digital literacy and green HRM. International Journal of Information Management, 85. https:// doi.org/10.1016/j.ijinfomgt.2025.102956
Barba, G., Corallo, A., Lazoi, M., & Lezzi, M. (2025). Large language models for competence-based HRM: A case study in the aerospace industry. Journal of Innovation and Knowledge, 10(5). https://doi.org/10.1016/j.jik.2025.100780
Bayo-Moriones, A., Erro-Garcés, A., & Lera-López, F. (2025). The role of technology, calculative and collaborative HRM and social trust in driving human resource analytics in European firms. Personnel Review. https://doi.org/10.1108/PR-06-2024-0561
da Silva, L. B. P., Pontes, J., Mosconi, E., Treinta, F. T., Yoshino, R. T., & de Resende, L. M. M. (2026). The future of HRM for intelligent manufacturing systems in the context of industry 5.0. Computers and Industrial Engineering, 211. https://doi.org/10.1016/j.cie.2025.111587
Do, H., Chu, L. X., & Shipton, H. (2025). How and when AI-driven HRM promotes employee resilience and adaptive performance: A self-determination theory. Journal of Business Research, 192. https:// doi.org/10.1016/j.jbusres.2025.115279
Gryncewicz, W., Zygala, R., & Pilch, A. (2023). AI in HRM: case study analysis. Preliminary research. Procedia Computer Science, 225, 2351–2360. https://doi.org/10.1016/j.procs.2023.10.226
Malik, A., Budhwar, P., & Kazmi, B. A. (2023). Artificial intelligence (AI)-assisted HRM: Towards an extended strategic framework. Human Resource Management Review, 33(1). https://doi.org/10.1016/ j.hrmr. 2022.100940
Pan, Y., & Froese, F. J. (2023). An interdisciplinary review of AI and HRM: Challenges and future directions. Human Resource Management Review, 33(1). https://doi.org/10.1016/j.hrmr.2022.100924
Prikshat, V., Islam, M., Patel, P., Malik, A., Budhwar, P., & Gupta, S. (2023). AI-Augmented HRM: Literature review and a proposed multilevel framework for future research. Technological Forecasting and Social Change, 193. https://doi.org/10.1016/j.techfore .2023. 122645
Prikshat, V., Malik, A., & Budhwar, P. (2023). AI-augmented HRM: Antecedents, assimilation and multilevel consequences. Human Resource Management Review, 33(1). https://doi.org /10.1016/ j. hrmr.2021.100860
Prikshat, V., Patel, P., Varma, A., & Ishizaka, A. (2022). A multi-stakeholder ethical framework for AI-augmented HRM. International Journal of Manpower, 43(1), 226–250. https://doi.org/10.1108/IJM-03-2021-0118
Rabenu, E., & Baruch, Y. (2025). Cyborging HRM theory: from evolution to revolution – the challenges and trajectories of AI for the future role of HRM. Personnel Review, 54(1), 174–198. https://doi.org/10.1108/PR-02-2024-0111
Shahid, S., Kaur, K., Mohyuddin, S. M., Prikshat, V., & Patel, P. (2025). Revolutionizing HRM: a review of human-robot collaboration in HRM functions and the imperative of change readiness. Business Process Management Journal, 31(7), 2892–2928. https://doi.org /10.1108/BPMJ-12-2023-0951
Shin, H. H., Choi, S., & Kim, H. (2025). Artificial Intelligence (AI) in Human Resource Management (HRM): A driver of organizational dehumanization and negative employee reactions. International Journal of Hospitality Management, 131. https://doi.org/10.1016/ j.ijhm.2025.104230.
Sohani, S. S., Pandey, J., Varma, A., & Ray, P. (2025). Is it necessary? A framework for assessing the utility of A.I. in HRM practices. Acta Psychologica, 254. https://doi.org/10.1016/j.actpsy.2025.104816
Sony, M. M. A. A. M., Amin, M. Bin, Ashraf, A., Islam, K. M. A., Debnath, N. C., & Debnath, G. C. (2025). Bias in AI-driven HRM systems: Investigating discrimination risks embedded in AI recruitment tools and HR analytics. Social Sciences and Humanities Open, 12. https://doi.org/10.1016/j.ssaho.2025.102082
Trautwein, Y., Zechiel, F., Coussement, K., Meire, M., & Büttgen, M. (2025). Opening the ‘black box’ of HRM algorithmic biases – How hiring practices induce discrimination on freelancing platforms. Journal of Business Research, 192. https://doi.org/ 10.1016/j.jbusres.2025.115298
Zhanseitov, A., Akybayeva, G., Mambetova, S., Kazbekov, T., & Berdimurat, N. (2025). The impact of artificial intelligence on the labour market and HRM. Procedia Computer Science, 272, 489–495. https://doi.org/10.1016/j.procs.2025.10.236
Zhou, Y., Wang, L., & Chen, W. (2023). The dark side of AI-enabled HRM on employees based on AI algorithmic features. Journal of Organizational Change Management, 36(7), 1222–1241. https://doi.org/10.1108/JOCM-10-2022-0308

Received : 26 February 2026
Accepted : 30 April 2026
Published : 04 May 2026
DOI: 10.30726/ijmrss/v13.i2.2026.13263

63.-Paper-Modern-HRM-AI.pdf

Molecular Pathology in Precision Oncology Integrating Genomic Profiling, Biomarker Discovery and Artificial Intelligence for Personalized Cancer Therapy

Author
Dr. Priya Sharma, Yashswi Chauhan, Neha
Keywords
Molecular Pathology; Precision Oncology; Genomic Profiling; Biomarker Diagnostics; Artificial Intelligence in Oncology; Personalized Cancer Therapy.
Abstract
Precision oncology has emerged as a transformative approach in cancer care by tailoring treatment strategies according to the molecular characteristics of individual tumors. Molecular pathology plays a central role in this paradigm by enabling the identification of genetic mutations, molecular biomarkers, and signaling pathways that drive tumor development and progression. This cross-sectional analytical study examines the evolving role of molecular pathology in precision oncology using 258 molecular pathology cases. NGS-based profiling demonstrated the strongest clinical impact on treatment outcomes (F=7.34, p=0.001), with the majority of cases demonstrating at least one actionable molecular alteration. The study highlights the growing importance of integrating molecular pathology, computational diagnostics, and precision medicine frameworks in modern oncology practice.
References
[1] Bera, K., Schalper, K. A., Rimm, D. L., Velcheti, V., & Madabhushi, A. (2019). Artificial intelligence in digital pathology – new tools for diagnosis and precision oncology. Nature Reviews Clinical Oncology, 16(11), 703–715.
[2] Masood, S. (2020). Breast cancer subtypes: Morphologic and biologic characterization. Women’s Health, 12(3), 330–339.
[3] Ogino, S., Nowak, J. A., Hamada, T., & Milner, D. A. (2016). Insights into pathogenic interactions among environment, host, and tumor at the crossroads of molecular pathology and epidemiology. Annual Review of Pathology, 11, 217–238.
[4] Signoretti, S., Flaifel, A., Chen, Y. B., & Bhatt, D. (2018). Renal cell carcinoma in the era of precision medicine. Journal of Clinical Oncology, 36(36), 3608–3615.
[5] Tsimberidou, A. M., et al. (2023). Clinical tumor boards and precision oncology outcomes. Journal of Clinical Oncology, 41(10), 1862–1872.
[6] Arockia, V. J., Vettriselvan, R., Rajesh, D., Velmurugan, P. R. R., & Cheelo, C. (2025). Leveraging AI and Learning analytics for enhanced distance learning: transformation in education. In AI and learning analytics in distance learning (pp. 179-206). IGI Global Scientific Publishing.
[7] Ashifa, K. M. (2019). Developmental initiatives for persons with disabilities: Appraisal on village-based rehabilitation of Amar Seva Sangam. Indian Journal of Public Health Research & Development, 10(12), 1257–1261.
[8] Rasi, R. A., & Ashifa, K. M. (2019). Role of community-based programmes for active ageing: Elders self-help group in Kerala. Indian Journal of Public Health Research & Development, 10(12).
[9] Ashifa, K. M. (2020). Effect of substance abuse on physical health of adolescents. European Journal of Molecular & Clinical Medicine, 7(2), 3155–3160.
[10] Ashifa, K. M. (2020). Physical health hazards of schizophrenia patients. Systematic Reviews in Pharmacy, 11(12), 1848–1850.
[11] Ashifa, K. M. (2021). Analysis on the determinants of health status among tribal communities. Journal of Cardiovascular Disease Research, 12(3), 531–534.
[12] Ashifa, K. M. (2021). Health status of primitive tribal women in India. Journal of Cardiovascular Disease Research, 12(5), 772.
[13] Ashifa, K. M. (2022). A situation analysis of the social well-being of elderly during the COVID-19 pandemic. International Journal of Health Sciences, 6(3), 10156–10163.
[14] Ashifa, K. M., & Ramya, P. (2019). Health afflictions and quality of work life among women working in fireworks industry. International Journal of Engineering and Advanced Technology, 8(6S3), 1723–1725.
[15] Basha, R., Pathak, P., Sudha, M., Soumya, K. V., & Arockia Venice, J. (2025). Optimization of quantum dilated convolutional neural networks: Image recognition with quantum computing. Internet Technology Letters, 8(3), e70027.
[16] Catherine, S., Gupta, N., Gopi, E., & Swadhi, R. (2025). Enhancing Patient Engagement and Outcomes Through Digital Transformation: Machine Learning in Medical Marketing. In Impact of Digital Transformation on Business Growth and Performance (pp. 285-312). IGI Global Scientific Publishing.
[17] Devi, M., Manokaran, D., Sehgal, R. K., Shariff, S. A., & Vettriselvan, R. (2025). Precision Medicine, Personalized Treatment, and Network-Driven Innovations: Transforming Healthcare With AI. In AI for Large Scale Communication Networks (pp. 303-322). IGI Global Scientific Publishing.
[18] Elkin, N., Mohammed, A. K., Kilincel, S., Soydan, A. M., Tanriver, S. C., Celik, S., & Ranganathan, M. (2025). Mental health literacy and happiness among university students: A social work perspective to promoting well-being. Frontiers in Psychiatry, 16, 1541316.
[19] Gayathri, R. K., Vettriselvan, R., Rajesh, D., Balakrishnan, R., Kumar, R., & Kavitha, J. (2025). Striking a Balance: Mental Health Challenges and Work-Life Integration among Women Faculty in Indian B-Schools. Texila International Journal of Public Health, 13(2).
[20] Gayathri, R. K., Vettriselvan, R., Rajesh, D., Balakrishnan, R., Kumar, R., & Kavitha, J. (2025). Strategic Role of Human Resource Management in Enhancing Occupational Health and Safety Practices in Business Schools in India. Texila International Journal of Public Health, 13(2).
[21] Jenifer, R. D., Vettriselvan, R., Saxena, D., Velmurugan, P. R., & Balakrishnan, A. (2025). Green Marketing in Healthcare Advertising: A Global Perspective. In AI Impacts on Branded Entertainment and Advertising (pp. 303-326). IGI Global Scientific Publishing.
[22] Kariveliparambil, A., Rasi, R. A., Ahmad, M. S., Oztas, N., & Ayan, F. S. (2026). Evolving Social Capital in Indigenous Communities: Perspectives on Trust, Reciprocity, and Cultural Preservation Among Irula Elders. Journal of Social Service Research, 52(1), 147–166.
[23] Mustafa, N., Zahoor, H., Gamil, R. E., Ashifa, K. M., & Safaei, M. (2026). Empowering future caregivers: the role of self-leadership in reducing stress among nursing students. International Journal of Innovation and Learning, 39(1), 74-103.
[24] Kavitha D, Dr. A. S. Aneeshkumar (2026). Advanced AI-Driven Techniques for Prostate Cancer Prediction, Telematique, 25(1), pp. 104-121.
[25] Natraj, N. A., Abirami, T., Ananthi, K., Venice, J. A., Chandru, R., & Rathish, C. R. (2024). The Impact of 5G Technology on the Digital Supply Chain and Operations Management Landscape. In Applications of New Technology in Operations and Supply Chain Management (pp. 289-311). IGI Global Scientific Publishing.
[26] Ranganathan, M., Jacob, A., Ashifa, K. M., Kumar, G. J., Anthony, M., Vijay, M., & Kumari, R. B. (2024). An investigation of the effects of chronic stress on attention in parents of children with neurodevelopmental disorders. Universal Journal of Public Health, 12(1), 37–50.
[27] Shanthi, H. J., Gokulakrishnan, A., Sharma, S., Deepika, R., & Swadhi, R. (2025). Leveraging Artificial Intelligence for Enhancing Urban Health: Applications, Challenges, and Innovations. In Nexus of AI, Climatology, and Urbanism for Smart Cities (pp. 275-306). IGI Global Scientific Publishing.
[28] Swadhi, R., Gayathri, K., Suresh, N. V., Catherine, S., & Velmurugan, P. R. (2025). Leveraging Machine Learning for Enhanced Patient Engagement and Outcomes: Revolutionizing Healthcare Marketing. In Impact of Digital Transformation on Business Growth and Performance (pp. 313-340). IGI Global Scientific Publishing.
[29] Swadhi, R., Velmurugan, P. R., Mahalingam, U., Keerthana, R., & Padmavathy, N. (2026). Embedding Fairness and Resilience: Human-Centered Leadership in AI-Driven Workplaces. In Centering Positive Organizational Cultures Through Human-Centered Leadership (pp. 139-162). IGI Global Scientific Publishing.
[30] Venice, J. A., Arivazhagan, D., Suman, N., Shanthi, H. J., & Swadhi, R. (2025). Recommendation systems and content personalization: algorithms, applications, and adaptive learning. In AI for Large Scale Communication Networks (pp. 323-348). IGI Global Scientific Publishing.
[31] Venice, J. A., Vettriselvan, R., Rajesh, D., Suresh, N. V., & Abirami, P. (2025). Enabling personalized learning and adaptive systems through strategic management: cloud integration in education. In Bridging Academia and Industry Through Cloud Integration in Education (pp. 49-72). IGI Global Scientific Publishing.
[32] A. S. Aneeshkumar, C. Jothi Venkateswaran (2013). An Approach of Data Mining for Predicting the Chances of Liver Disease in Ectopic Pregnant Groups, Special Issue of International Journal of Computer Applications,The International Conference on Communication, Computing and Information Technology (ICCCMIT), International Journal of Computer Applications, Issue 2, pp. 19-22.
[33] Venice, J. A., Vettriselvan, R., Jain, S., Madusudanan, K., & Aarthy, C. C. J. (2025). Performance Evaluation and Metrics in Blockchain Powered AI/ML: Data Analytics for Cognitive Internet of Things (CIoT). In Transforming Education With AI-Powered Personalized Learning (pp. 143-178). IGI Global Scientific Publishing.
[34] Venice, A., Swadhi, R., Gayathri, K., Chandra, P., & Sajana, K. P. (2026). Rehabilitation Robotics and Adaptive Motion Planning for Patient-Centric Care. In Intelligent Motion Control for Human-Centered Systems (pp. 51-76). IGI Global Scientific Publishing.
[35] Vettriselvan, R. (2025). Harnessing innovation and digital marketing in the era of industry 5.0: resilient healthcare SMEs. In The Future of Small Business in Industry 5.0 (pp. 163-186). IGI Global Scientific Publishing.
[36] Vettriselvan, R., & Anto, M. R. (2018). Pathetic health status and working condition of Zambian women. Indian Journal of Public Health Research & Development, 9(9), 259-264.
[37] Vettriselvan, R., & Rajan FSA, A. J. (2019). Occupational Health Issues Faced by Women in Spinners. Indian Journal of Public Health Research & Development, 10(1).
[38] Vettriselvan, R., Deepan, A., Jaiswani, G., Balakrishnan, A., & Sakthivel, R. (2025). Health Consequences of Early Marriage: Examining Morbidity and Long-Term Wellbeing. In Social, Political, and Health Implications of Early Marriage (pp. 189-212). IGI Global Scientific Publishing.
[39] Vettriselvan, R., Ramya, R., Selvalakshmi, V., Jyothi, P., & Velmurugan, P. R. (2026). Empowering Patients through Knowledge: Educational Strategies in Rehabilitation. In Holistic Approaches to Health Recovery (pp. 263-290). IGI Global Scientific Publishing.
[40] Vijayalakshmi, M., Subramani, A. K., Vettriselvan, R., Catherin, T. C., & Deepika, R. (2025). Sustainability and Responsibility in the Digital Era: Leveraging Green Marketing in Healthcare. In Digital Citizenship and Building a Responsible Online Presence (pp. 285-306). IGI Global Scientific Publishing.
[41] Vijayalakshmi, M., Subramani, A. K., Vettriselvan, R., Velmurugan, P. R., & Hasine, J. (2025). Strategic Collaborations in Medical Innovation and AI-Driven Globalization: Advancing Healthcare Startups. In Navigating Strategic Partnerships for Sustainable Startup Growth (pp. 85-110). IGI Global Scientific Publishing.
[42] Zahoor, H., Mustafa, N., Ashifa, K. M., Safaei, M., & El Gamil, R. (2025). Unlocking resilience: Emotional intelligence and self-leadership shape stress perception among health students. International Journal of Innovation and Learning, 38(4), 395–419.

Received : 17 February 2026
Accepted : 29 April 2026
Published : 02 May 2026
DOI: 10.30726/ijmrss/v13.i2.2026.13262

62.-82_Molecular_Pathology_in_Precision_Oncology.pdf

Advances in Histopathological Diagnosis Integrating Digital Pathology, Artificial Intelligence and Biomarker-Based Approaches for Accurate Disease Detection

Author
Dr. Deepak Kumar, Anita Rani, Vishal Kumar
Keywords
Histopathology; Digital Pathology; Computational Pathology; Artificial Intelligence In Pathology; Disease Diagnosis; Biomarker Analysis.
Abstract
Histopathology has long served as a cornerstone of disease diagnosis by enabling microscopic examination of tissues to identify structural and cellular abnormalities associated with various pathological conditions. In recent years, rapid technological developments in digital pathology, image analysis, artificial intelligence, and biomarker discovery have significantly enhanced the capabilities of histopathological diagnosis. This cross-sectional analytical study examines recent advancements in histopathological diagnostic techniques using 246 histopathological case samples collected from hospital pathology laboratories and diagnostic centers. Digital pathology platforms, artificial intelligence-assisted image analysis, and biomarker-based diagnostic markers significantly enhance diagnostic accuracy and reduce diagnostic variability. AI-assisted histopathological analysis demonstrated the highest diagnostic accuracy (94.6%, F=6.45, p=0.001). The study highlights the growing importance of integrating computational tools and advanced molecular diagnostics within histopathological practice.
References
[1] Elazab, N., Wang, C., Elazab, A., Niu, B., & Hu, B. (2020). Machine learning histopathological image analysis for disease diagnosis. Current Bioinformatics, 15(5), 542–554.
[2] Fletcher, C. D. (2007). Diagnostic histopathology of tumors (3rd ed.). Churchill Livingstone/Elsevier.
[3] Gupta, R., Naran, S., & Sandhu, G. K. (2009). Histopathological findings in infectious and inflammatory diseases. Journal of Pathology, 218(3), 270–277.
[4] Gurcan, M. N., Boucheron, L. E., Can, A., Madabhushi, A., Rajpoot, N. M., & Yener, B. (2009). Histopathological image analysis: A review. IEEE Reviews in Biomedical Engineering, 2, 147–171.
[5] Mezei, T., Szasz, C., Molnar, E., Moldovan, C., & Gurzu, S. (2024). Advances in histopathological diagnosis: impact of image analysis technologies. Applied Sciences, 14(12), 5226.
[6] Moscalu, M., Vladoi, A. D., Crisan, A. L., Moscalu, R., & Grigorescu, B. L. (2023). Digital pathology and artificial intelligence–based diagnostics. Diagnostics, 13(22), 3465.
[7] Rastogi, A. (2018). Histopathology of hepatocellular carcinoma. Journal of Clinical and Experimental Hepatology, 8(4), 426–432.
[8] Sasano, H., Suzuki, T., Nagura, H., & Shizawa, S. (2006). Advances in immunohistochemistry of endocrine tumors. Endocrine Pathology, 17(4), 327–335.
[9] Tanaka, M., & Sugie, S. (2013). Histopathological examination in inflammatory bowel disease. Journal of Gastroenterology, 48(5), 567–574.
[10] Underwood, J. C. E. (2017). Introduction to biopsy interpretation and surgical pathology. Springer.
[11] Vargas-Clavijo, R. M., Montoya-Palacio, M. N., Lopez-Medrano, D., Rueda-Plata, J., & Yepes, J. (2025). Machine learning algorithms for histopathological diagnosis of Hansen disease. PLOS Neglected Tropical Diseases, 19(2), e0012864.
[12] Wu, Z., Luo, G., Lu, J., & Xiao, W. (2022). Deep learning for computational histopathology. Frontiers in Medicine, 9, 810500.
[13] Yousif, L., & Ahmed, M. (2024). Novel biomarkers in histopathological diagnosis: a systematic review. Frontiers in Oncology, 14, 1356742.
[14] Arockia, V. J., Vettriselvan, R., Rajesh, D., Velmurugan, P. R. R., & Cheelo, C. (2025). Leveraging AI and Learning analytics for enhanced distance learning: transformation in education. In AI and learning analytics in distance learning (pp. 179-206). IGI Global Scientific Publishing.
[15] Dr. A.S. Aneeshkumar (2022), Blemish identification in Co-variance of Disease using Data Mining Techniques, Mathematical Statistician and Engineering Applications, 71(4), pp. 4354-4362.
[16] Ashifa, K. M. (2019). Developmental initiatives for persons with disabilities: Appraisal on village-based rehabilitation of Amar Seva Sangam. Indian Journal of Public Health Research & Development, 10(12), 1257–1261.
[17] Rasi, R. A., & Ashifa, K. M. (2019). Role of community-based programmes for active ageing: Elders self-help group in Kerala. Indian Journal of Public Health Research & Development, 10(12).
[18] Ashifa, K. M. (2020). Effect of substance abuse on physical health of adolescents. European Journal of Molecular & Clinical Medicine, 7(2), 3155–3160.
[19] Ashifa, K. M. (2020). Physical health hazards of schizophrenia patients. Systematic Reviews in Pharmacy, 11(12), 1848–1850.
[20] Ashifa, K. M. (2021). Analysis on the determinants of health status among tribal communities. Journal of Cardiovascular Disease Research, 12(3), 531–534.
[21] Ashifa, K. M. (2021). Health status of primitive tribal women in India. Journal of Cardiovascular Disease Research, 12(5), 772.
[22] Ashifa, K. M. (2022). A situation analysis of the social well-being of elderly during the COVID-19 pandemic. International Journal of Health Sciences, 6(3), 10156–10163.
[23] Ashifa, K. M., & Ramya, P. (2019). Health afflictions and quality of work life among women working in fireworks industry. International Journal of Engineering and Advanced Technology, 8(6S3), 1723–1725.
[24] Basha, R., Pathak, P., Sudha, M., Soumya, K. V., & Arockia Venice, J. (2025). Optimization of quantum dilated convolutional neural networks: Image recognition with quantum computing. Internet Technology Letters, 8(3), e70027.
[25] Catherine, S., Gupta, N., Gopi, E., & Swadhi, R. (2025). Enhancing Patient Engagement and Outcomes Through Digital Transformation: Machine Learning in Medical Marketing. In Impact of Digital Transformation on Business Growth and Performance (pp. 285-312). IGI Global Scientific Publishing.
[26] Devi, M., Manokaran, D., Sehgal, R. K., Shariff, S. A., & Vettriselvan, R. (2025). Precision Medicine, Personalized Treatment, and Network-Driven Innovations: Transforming Healthcare With AI. In AI for Large Scale Communication Networks (pp. 303-322). IGI Global Scientific Publishing.
[27] Elkin, N., Mohammed, A. K., Kilincel, S., Soydan, A. M., Tanriver, S. C., Celik, S., & Ranganathan, M. (2025). Mental health literacy and happiness among university students: A social work perspective to promoting well-being. Frontiers in Psychiatry, 16, 1541316.
[28] Gayathri, R. K., Vettriselvan, R., Rajesh, D., Balakrishnan, R., Kumar, R., & Kavitha, J. (2025). Striking a Balance: Mental Health Challenges and Work-Life Integration among Women Faculty in Indian B-Schools. Texila International Journal of Public Health, 13(2).
[29] Kavitha D, Dr. A. S. Aneeshkumar (2026). Advanced AI-Driven Techniques for Prostate Cancer Prediction, Telematique, 25(1), pp. 104-121.
[30] Gayathri, R. K., Vettriselvan, R., Rajesh, D., Balakrishnan, R., Kumar, R., & Kavitha, J. (2025). Strategic Role of Human Resource Management in Enhancing Occupational Health and Safety Practices in Business Schools in India. Texila International Journal of Public Health, 13(2).
[31] Jenifer, R. D., Vettriselvan, R., Saxena, D., Velmurugan, P. R., & Balakrishnan, A. (2025). Green Marketing in Healthcare Advertising: A Global Perspective. In AI Impacts on Branded Entertainment and Advertising (pp. 303-326). IGI Global Scientific Publishing.
[32] Kariveliparambil, A., Rasi, R. A., Ahmad, M. S., Oztas, N., & Ayan, F. S. (2026). Evolving Social Capital in Indigenous Communities: Perspectives on Trust, Reciprocity, and Cultural Preservation Among Irula Elders. Journal of Social Service Research, 52(1), 147–166.
[33] Mustafa, N., Zahoor, H., Gamil, R. E., Ashifa, K. M., & Safaei, M. (2026). Empowering future caregivers: the role of self-leadership in reducing stress among nursing students. International Journal of Innovation and Learning, 39(1), 74-103.
[34] Natraj, N. A., Abirami, T., Ananthi, K., Venice, J. A., Chandru, R., & Rathish, C. R. (2024). The Impact of 5G Technology on the Digital Supply Chain and Operations Management Landscape. In Applications of New Technology in Operations and Supply Chain Management (pp. 289-311). IGI Global Scientific Publishing.
[35] Ranganathan, M., Jacob, A., Ashifa, K. M., Kumar, G. J., Anthony, M., Vijay, M., & Kumari, R. B. (2024). An investigation of the effects of chronic stress on attention in parents of children with neurodevelopmental disorders. Universal Journal of Public Health, 12(1), 37–50.
[36] Shanthi, H. J., Gokulakrishnan, A., Sharma, S., Deepika, R., & Swadhi, R. (2025). Leveraging Artificial Intelligence for Enhancing Urban Health: Applications, Challenges, and Innovations. In Nexus of AI, Climatology, and Urbanism for Smart Cities (pp. 275-306). IGI Global Scientific Publishing.
[37] Swadhi, R., Gayathri, K., Suresh, N. V., Catherine, S., & Velmurugan, P. R. (2025). Leveraging Machine Learning for Enhanced Patient Engagement and Outcomes: Revolutionizing Healthcare Marketing. In Impact of Digital Transformation on Business Growth and Performance (pp. 313-340). IGI Global Scientific Publishing.
[38] Swadhi, R., Velmurugan, P. R., Mahalingam, U., Keerthana, R., & Padmavathy, N. (2026). Embedding Fairness and Resilience: Human-Centered Leadership in AI-Driven Workplaces. In Centering Positive Organizational Cultures Through Human-Centered Leadership (pp. 139-162). IGI Global Scientific Publishing.
[39] Venice, J. A., Arivazhagan, D., Suman, N., Shanthi, H. J., & Swadhi, R. (2025). Recommendation systems and content personalization: algorithms, applications, and adaptive learning. In AI for Large Scale Communication Networks (pp. 323-348). IGI Global Scientific Publishing.
[40] Venice, J. A., Vettriselvan, R., Rajesh, D., Suresh, N. V., & Abirami, P. (2025). Enabling personalized learning and adaptive systems through strategic management: cloud integration in education. In Bridging Academia and Industry Through Cloud Integration in Education (pp. 49-72). IGI Global Scientific Publishing.
[41] Venice, J. A., Vettriselvan, R., Jain, S., Madusudanan, K., & Aarthy, C. C. J. (2025). Performance Evaluation and Metrics in Blockchain Powered AI/ML: Data Analytics for Cognitive Internet of Things (CIoT). In Transforming Education With AI-Powered Personalized Learning (pp. 143-178). IGI Global Scientific Publishing.
[42] A.S. Aneeshkumar, Dr.C. JothiVenkateswaran (2013). An Integrated Approach for Predicting the Contribution of Sovereign Dynamics, Engineering Sciences International Research Journal, 1(1), pp. 24-27.
[43] Venice, A., Swadhi, R., Gayathri, K., Chandra, P., & Sajana, K. P. (2026). Rehabilitation Robotics and Adaptive Motion Planning for Patient-Centric Care. In Intelligent Motion Control for Human-Centered Systems (pp. 51-76). IGI Global Scientific Publishing.
[44] Vettriselvan, R. (2025). Harnessing innovation and digital marketing in the era of industry 5.0: resilient healthcare SMEs. In The Future of Small Business in Industry 5.0 (pp. 163-186). IGI Global Scientific Publishing.
[45] Vettriselvan, R., & Anto, M. R. (2018). Pathetic health status and working condition of Zambian women. Indian Journal of Public Health Research & Development, 9(9), 259-264.
[46] Vettriselvan, R., & Rajan FSA, A. J. (2019). Occupational Health Issues Faced by Women in Spinners. Indian Journal of Public Health Research & Development, 10(1).
[47] Vettriselvan, R., Deepan, A., Jaiswani, G., Balakrishnan, A., & Sakthivel, R. (2025). Health Consequences of Early Marriage: Examining Morbidity and Long-Term Wellbeing. In Social, Political, and Health Implications of Early Marriage (pp. 189-212). IGI Global Scientific Publishing.
[48] Vettriselvan, R., Ramya, R., Selvalakshmi, V., Jyothi, P., & Velmurugan, P. R. (2026). Empowering Patients through Knowledge: Educational Strategies in Rehabilitation. In Holistic Approaches to Health Recovery (pp. 263-290). IGI Global Scientific Publishing.
[49] Vijayalakshmi, M., Subramani, A. K., Vettriselvan, R., Catherin, T. C., & Deepika, R. (2025). Sustainability and Responsibility in the Digital Era: Leveraging Green Marketing in Healthcare. In Digital Citizenship and Building a Responsible Online Presence (pp. 285-306). IGI Global Scientific Publishing.
[50] Vijayalakshmi, M., Subramani, A. K., Vettriselvan, R., Velmurugan, P. R., & Hasine, J. (2025). Strategic Collaborations in Medical Innovation and AI-Driven Globalization: Advancing Healthcare Startups. In Navigating Strategic Partnerships for Sustainable Startup Growth (pp. 85-110). IGI Global Scientific Publishing.
[51] Zahoor, H., Mustafa, N., Ashifa, K. M., Safaei, M., & El Gamil, R. (2025). Unlocking resilience: Emotional intelligence and self-leadership shape stress perception among health students. International Journal of Innovation and Learning, 38(4), 395–419.

Received : 17 February 2026
Accepted : 29 April 2026
Published : 02 May 2026
DOI: 10.30726/ijmrss/v13.i2.2026.13261

61.-81_Histopathological_Advances_in_Disease_Diagnosis.pdf

Effects of Over-Enrollment on Pupils and Teacher Performance in Primary Schools in Kalabo District, Zambia: AI-Assisted Large-Class Pedagogy, Resource Optimisation and Inclusive Education Policy

Author
Sitwala Kombelwa, Dr. Siyumbwa Costa
Keywords
Over-Enrollment; Large Classes; Kalabo District; Zambia; Teacher Performance; Pupil Outcomes; AI Pedagogy; Educational Resources.
Abstract
Over-enrollment the enrolment of learner numbers that significantly exceed the designed capacity of school facilities, classrooms, and teacher staffing is a pervasive challenge in Zambian primary schools, generating educational quality deficits, infrastructure stress, and teacher performance pressures that compound existing educational disadvantage in rural districts. In Kalabo District, Western Province, rapid population growth combined with insufficient school infrastructure expansion has created severe over-enrollment conditions in selected primary schools, with classrooms designed for 40 learners hosting 80–100 pupils and teacher-learner ratios far exceeding recommended pedagogical standards. This article examines the effects of over-enrollment on pupil academic performance and teacher professional performance in two selected primary schools in Kalabo District, contextualising findings within global scholarship on class size, teacher workload, AI-assisted large-class pedagogy, and educational resource optimisation. Drawing on a mixed-methods survey, findings confirm significant negative impacts on both learner outcomes and teacher well-being, while identifying AI-powered teaching tools, cooperative learning strategies, and school infrastructure policy reforms as evidence-based responses. Policy recommendations are presented.
References
[1] Akila, V., Prabhu, G., Akila, R., & Swadhi, R. (2025). Performance metrics in blockchain-enabled AIML for cognitive IoT in large-scale networks. In AI for large scale communication networks (pp. 265–288). IGI Global Scientific Publishing.
[2] Arockia, V. J., Vettriselvan, R., Rajesh, D., Velmurugan, P. R. R., & Cheelo, C. (2025). Leveraging AI and learning analytics for enhanced distance learning. In AI and learning analytics in distance learning (pp. 179–206). IGI Global Scientific Publishing.
[3] Ashifa, K. M. (2019). Developmental initiatives for persons with disabilities. Indian Journal of Public Health Research & Development, 10(12), 1257–1261.
[4] Ashifa, K. M. (2020a). Effect of substance abuse on physical health of adolescents. European Journal of Molecular & Clinical Medicine, 7(2), 3155–3160.
[5] Ashifa, K. M. (2020b). Physical health hazards of schizophrenia patients. Systematic Reviews in Pharmacy, 11(12), 1848–1850.
[6] Ashifa, K. M. (2021a). Analysis on the determinants of health status among tribal communities. Journal of Cardiovascular Disease Research, 12(3), 531–534.
[7] Ashifa, K. M. (2021b). Health status of primitive tribal women in India. Journal of Cardiovascular Disease Research, 12(5), 772.
[8] Ashifa, K. M. (2022). A situation analysis of the social well-being of elderly during the COVID-19 pandemic. International Journal of Health Sciences, 6(3), 10156–10163.
[9] Ashifa, K. M., & Ramya, P. (2019). Health afflictions and quality of work life among women working in fireworks industry. International Journal of Engineering and Advanced Technology, 8(6S3), 1723–1725.
[10] Basha, R., Pathak, P., Sudha, M., Soumya, K. V., & Arockia Venice, J. (2025). Optimization of quantum dilated convolutional neural networks: Image recognition with quantum computing. Internet Technology Letters, 8(3), e70027.
[11] Devi, M., Manokaran, D., Sehgal, R. K., Shariff, S. A., & Vettriselvan, R. (2025). Precision medicine, personalized treatment, and network-driven innovations. In AI for large scale communication networks (pp. 303–322). IGI Global.
[12] Elkin, N., Mohammed, A. K., Kılınçel, Ş., Soydan, A. M., Tanrıver, S. Ç., Çelik, Ş., & Ranganathan, M. (2025). Mental health literacy and happiness among university students. Frontiers in Psychiatry, 16, 1541316.
[13] Gayathri, R. K., Vettriselvan, R., Rajesh, D., Balakrishnan, R., Kumar, R., & Kavitha, J. (2025a). Striking a balance: Mental health challenges and work-life integration among women faculty in Indian B-Schools. Texila International Journal of Public Health, 13(2).
[14] Gayathri, R. K., Vettriselvan, R., Rajesh, D., Balakrishnan, R., Kumar, R., & Kavitha, J. (2025b). Strategic role of human resource management in enhancing occupational health and safety practices. Texila International Journal of Public Health, 13(2).
[15] Jenifer, R. D., Vettriselvan, R., Saxena, D., Velmurugan, P. R., & Balakrishnan, A. (2025). Green marketing in healthcare advertising: A global perspective. In AI impacts on branded entertainment and advertising (pp. 303–326). IGI Global.
[16] Kariveliparambil, A., Rasi, R. A., Ahmad, M. S., Öztaş, N., & Ayan, F. S. (2026a). Evolving social capital in indigenous communities. Journal of Social Service Research, 52(1), 147–166.
[17] Kariveliparambil, A., R A, R., Ahmad, M. S., Ramesh, S., & Kuriakose, A. (2026b). Invisible burdens of platform work. International Journal of Qualitative Studies on Health and Well-Being, 21(1).
[18] Kombo, D. K., & Tromp, D. L. A. (2014). Proposal and thesis writing: An introduction. Paulines Publications Africa.
[19] Meena, G., Vettriselvan, R., Rajesh, D., & Velmurugan, P. R. (2025). Diversity and inclusion: Harnessing the power of inclusivity for business success. In Security and strategy models for key-solving institutional frameworks (pp. 203–234). IGI Global Scientific Publishing.
[20] Mohanbabu, S., & Vettriselvan, R. (2025a). Focusing supply chain and container terminal challenges. International Journal of Procurement Management, 24(1), 92–114.
[21] Mohanbabu, S., & Vettriselvan, R. (2025b). Will machine learning resolve the issues in container management. International Journal of Process Management and Benchmarking, 20(4), 559–575.
[22] Orodho, J. A., & Kombo, D. K. (2012). Research methods. Kenyatta University Press.
[23] Rajeswari, M., Rohini, V., Sathya Aarthi, R., Rameshkumaar, V. P., & Arul Krishnan, S. (2026). Blockchain 2.0 for secure, transparent, and autonomous logistics systems. In R. Vettriselvan & N. Suresh (Eds.), Intelligent motion control for human-centered systems (pp. 233–258). IGI Global Scientific Publishing.
[24] Ranganathan, M., Jacob, A., Ashifa, K. M., Kumar, G. J., Anthony, M., Vijay, M., & Kumari, R. B. (2024). An investigation of the effects of chronic stress on attention in parents of children with neurodevelopmental disorders. Universal Journal of Public Health, 12(1), 37–50.
[25] Rasi, R. A., & Ashifa, K. M. (2019). Role of community-based programmes for active ageing. Indian Journal of Public Health Research & Development, 10(12).
[26] Shanthi, H. J., Gokulakrishnan, A., Sharma, S., Deepika, R., & Swadhi, R. (2025). Leveraging artificial intelligence for enhancing urban health. In Nexus of AI, climatology, and urbanism for smart cities (pp. 275–306). IGI Global.
[27] Swadhi, R., Gayathri, K., Suresh, N. V., Catherine, S., & Velmurugan, P. R. (2025a). Leveraging machine learning for enhanced patient engagement and outcomes. In Impact of digital transformation on business growth and performance (pp. 313–340). IGI Global Scientific Publishing.
[28] Swadhi, R., Velmurugan, P. R., Gayathri, K., & Catherine, S. (2025b). Evolving critical themes in advanced human resource management. In Critical aspects in advanced human resource management (pp. 75–102). IGI Global Scientific Publishing.
[29] Vasantha, S., Swadhi, R., Gayathri, K., Selvalakshmi, V., & UmaDevi, A. (2025). Fostering personalized learning and achieving equity in education. In Transforming education with AI-powered personalized learning (pp. 201–236). IGI Global Scientific Publishing.
[30] Venice, J. A., Arivazhagan, D., Suman, N., Shanthi, H. J., & Swadhi, R. (2025a). Recommendation systems and content personalization. In AI for large scale communication networks (pp. 323–348). IGI Global Scientific Publishing.
[31] Venice, J. A., Vettriselvan, R., Jain, S., Madusudanan, K., & Aarthy, C. C. J. (2025b). Performance evaluation and metrics in blockchain powered AI/ML. In Transforming education with AI-powered personalized learning (pp. 143–178). IGI Global Scientific Publishing.
[32] Venice, J. A., Vettriselvan, R., Rajesh, D., Suresh, N. V., & Abirami, P. (2025c). Enabling personalized learning and adaptive systems through strategic management. In Bridging academia and industry through cloud integration in education (pp. 49–72). IGI Global Scientific Publishing.
[33] Venice, J. A., Vettriselvan, R., Rajesh, D., Xavier, P., & Shanthi, H. J. (2025d). Optimizing performance metrics in blockchain-enabled AI/ML data analytics. In Enhancing automated decision-making through AI (pp. 97–122). IGI Global.
[34] Venice, J. A., Sripathi, S. K., & Moonga, B. (2025e). Social deviance and the influence of internet exposure. ASET Journal of Management Science, 4(SI-1).
[35] Venice, J. A. A., Jio, W., Kant, S., Sharda, S., & Mittal, S. (2025f). Ethical leadership effect on the regulation of AI in cyber security. In Ethical challenges of AI and warfare (pp. 133–152). IGI Global Scientific Publishing.
[36] Venice, J. A. A., Muthuraman, M., Kant, S., & Mittal, S. (2026). Community engagement effect on school leadership through digital volunteerism. In Strengthening community engagement and school leadership through digital volunteerism (pp. 85–114). IGI Global Scientific Publishing.
[37] Vettriselvan, R. (2025). Harnessing innovation and digital marketing in the era of industry 5.0. In The future of small business in industry 5.0 (pp. 163–186). IGI Global.
[38] Vettriselvan, R., & Anto, M. R. (2018). Pathetic health status and working condition of Zambian women. Indian Journal of Public Health Research & Development, 9(9), 259–264.
[39] Vettriselvan, R., & Rajan FSA, A. J. (2019). Occupational health issues faced by women in spinners. Indian Journal of Public Health Research & Development, 10(1).
[40] Vettriselvan, R., Deepan, A., Jaiswani, G., Balakrishnan, A., & Sakthivel, R. (2025a). Health consequences of early marriage. In Social, political, and health implications of early marriage (pp. 189–212). IGI Global.
[41] Vettriselvan, R., Velmurugan, P. R., Varshney, K. R., EP, J., & Deepika, R. (2025b). Health impacts of smartphone and internet addictions across age groups. In Impacts of digital technologies across generations (pp. 187–210). IGI Global.
[42] Vettriselvan, R., Velmurugan, P. R., Suresh, N. V., & Catherine, S. (2025c). Strategies, best practices, and pitfalls in the era of digital transformation. In Impact of digital transformation on business growth and performance (pp. 67–98). IGI Global Scientific Publishing.
[43] Vettriselvan, R., Selvi, K., Kumar, A. S., Ranjani, R. D., & Varshney, K. R. (2025d). Ranking methodologies: Criteria and controversies in global higher education. In Global university ranking systems (pp. 109–140). IGI Global Scientific Publishing.
[44] Vettriselvan, R., Gokuldas, P. G., & Sambamoorthy, N. (2025e). Designing language materials to motivate, engage, and empower learners. In Exploring the psychology of language materials development (pp. 279–302). IGI Global Scientific Publishing.
[45] Vettriselvan, R., Ramya, R., Selvalakshmi, V., Jyothi, P., & Velmurugan, P. R. (2026a). Empowering patients through knowledge: Educational strategies in rehabilitation. In Holistic approaches to health recovery (pp. 263–290). IGI Global Scientific Publishing.
[46] Vettriselvan, R., Velmurugan, P. R., Savariapitchai, M., & Swadhi, R. (2026b). AI and international volunteering. In Impacts of AI on international volunteering (pp. 1–24). IGI Global Scientific Publishing.
[47] Vijayalakshmi, M., Subramani, A. K., Vettriselvan, R., Catherin, T. C., & Deepika, R. (2025a). Sustainability and responsibility in the digital era. In Digital citizenship and building a responsible online presence (pp. 285–306). IGI Global.
[48] Vijayalakshmi, M., Subramani, A. K., Vettriselvan, R., Velmurugan, P. R., & Hasine, J. (2025b). Strategic collaborations in medical innovation and AI-driven globalization. In Navigating strategic partnerships for sustainable startup growth (pp. 85–110). IGI Global.
[49] Vinodh, N., Subramani, A. K., & Vettriselvan, R. (2026a). Navigating ethics, society, and governance in the digital age. In Ethics, justice, and governance in the age of AI and digital societies (pp. 1–26). IGI Global Scientific Publishing.
[50] Vinodh, N., Subramani, A. K., & Vettriselvan, R. (2026b). Transforming the future of management and medical education. In AI education strategies for future-proofing curriculum design (pp. 459–476). IGI Global Scientific Publishing.
[51] Zahoor, H., Mustafa, N., Ashifa, K. M., Safaei, M., & El Gamil, R. (2025). Unlocking resilience: Emotional intelligence and self-leadership shape stress perception among health students. International Journal of Innovation and Learning, 38(4), 395–419.

Received : 10 February 2026
Accepted : 29 April 2026
Published : 02 May 2026
DOI: 10.30726/ijmrss/v13.i2.2026.13258

58.-30.-Sitwala-Kombelwa.pdf

Psychiatric Emergencies in Hospital Practice Clinical Challenges, Assessment Frameworks and Evidence-Based Management Protocols

Author
Dr. Akanksha Chaudhary, R. Jayapriya, Dipesh Kumar
Keywords
Psychiatric Emergencies; Crisis Intervention; Acute Psychiatry; Emergency Department Psychiatry; Suicidal Ideation; Acute Psychosis Management.
Abstract
Psychiatric emergencies represent acute mental health crises requiring immediate clinical assessment and intervention to ensure patient safety and manage severe psychological disturbances. Common psychiatric emergencies include acute psychosis, severe suicidal ideation, violent or aggressive behaviour, acute substance intoxication or withdrawal, and severe mood episodes. This cross-sectional analytical study examines the clinical profile, management challenges, and treatment outcomes associated with psychiatric emergencies in hospital settings among 168 patients. Acute psychosis and severe suicidal ideation were the most frequently presenting psychiatric emergencies. Combined pharmacological and psychosocial crisis management approaches demonstrated the highest clinical resolution rates (F=6.78, p=0.002). The study highlights the importance of early assessment, structured crisis intervention protocols, and multidisciplinary collaboration in managing psychiatric emergencies effectively.
References
[1] Allen, M. H., & Currier, G. W. (2004). Use of restraints and pharmacotherapy in academic psychiatric emergency services. General Hospital Psychiatry, 26(1), 42–49.
[2] Allen, M. H., et al. (2003). What do consumers say they want and need during a psychiatric emergency? Journal of Psychiatric Practice, 9(1), 39–58.
[3] Baker, A. P., & Buchan, T. (1969). Psychiatric emergencies in general practice. Central African Journal of Medicine, 15(8), 179–184.
[4] Brown, J. H., & Harvey, M. L. (1971). Emergency Services: Psychiatric Emergencies in the General Hospital. Canadian Psychiatric Association Journal, 16(2), 105–110.
[5] Carubia, B., Becker, A., & Levine, B. H. (2016). Child psychiatric emergencies: updates on trends, clinical care, and practice challenges. Current Psychiatry Reports, 18(4), 41.
[6] Currier, G. W., & Allen, M. H. (2000). Emergency psychiatry: physical and chemical restraint in the psychiatric emergency service. Psychiatric Services, 51(6), 717–719.
[7] Grover, S., & Avasthi, A. (2023). Clinical practice guidelines for the assessment and management of elderly presenting with psychiatric emergencies. Indian Journal of Psychiatry, 65(2), 140–158.
[8] Kirchner, H., et al. (2023). The significance of nonurgent psychiatric emergencies in an ED. BMC Emergency Medicine, 23(1), 131.
[9] Lofchy, J., Boyles, P., & Delwo, J. (2015). Emergency psychiatry: clinical and training approaches. Canadian Journal of Psychiatry, 60(7), 1.
[10] Mavrogiorgou, P., Brune, M., & Juckel, G. (2011). The management of psychiatric emergencies. Deutsches Arzteblatt International, 108(13), 222.
[11] Moetteli, S., et al. (2021). Psychiatric emergencies in the community in Switzerland. Administration and Policy in Mental Health, 48(6), 1055–1064.
[12] Nordstrom, K., et al. (2019). Boarding of mentally ill patients in emergency departments. Western Journal of Emergency Medicine, 20(5), 690.
[13] Parker, C. B. (2019). Psychiatric emergencies in nonpsychiatric settings. Psychosomatics, 60(4), 352–360.
[14] Richmond, J. S., et al. (2021). American Association for Emergency Psychiatry recommendations to address psychiatric staff shortages. Psychiatric Services, 72(4), 437–443.
[15] Roth, A. J., & Weiss, T. R. (2010). Psychiatric emergencies. Psycho-Oncology, 297–302.
[16] Schick, B., et al. (2022). Emergency medical care of patients with psychiatric disorders. BMC Emergency Medicine, 22(1), 173.
[17] Segal, S. P., Bola, J. R., & Watson, M. A. (1996). Race, quality of care, and antipsychotic prescribing practices in psychiatric emergency services. Psychiatric Services, 47(3), 282.
[18] Zun, L. (2016). Care of psychiatric patients: the challenge to emergency physicians. Western Journal of Emergency Medicine, 17(2), 173.
[19] Arockia, V. J., Vettriselvan, R., Rajesh, D., Velmurugan, P. R. R., & Cheelo, C. (2025). Leveraging AI and Learning analytics for enhanced distance learning: transformation in education. In AI and learning analytics in distance learning (pp. 179-206). IGI Global Scientific Publishing.
[20] Ashifa, K. M. (2019). Developmental initiatives for persons with disabilities: Appraisal on village-based rehabilitation of Amar Seva Sangam. Indian Journal of Public Health Research & Development, 10(12), 1257–1261.
[21] Rasi, R. A., & Ashifa, K. M. (2019). Role of community-based programmes for active ageing: Elders self-help group in Kerala. Indian Journal of Public Health Research & Development, 10(12).
[22] Ashifa, K. M. (2020). Effect of substance abuse on physical health of adolescents. European Journal of Molecular & Clinical Medicine, 7(2), 3155–3160.
[23] Ashifa, K. M. (2020). Physical health hazards of schizophrenia patients. Systematic Reviews in Pharmacy, 11(12), 1848–1850.
[24] Ashifa, K. M. (2021). Analysis on the determinants of health status among tribal communities. Journal of Cardiovascular Disease Research, 12(3), 531–534.
[25] Ashifa, K. M. (2021). Health status of primitive tribal women in India. Journal of Cardiovascular Disease Research, 12(5), 772.
[26] Ashifa, K. M. (2022). A situation analysis of the social well-being of elderly during the COVID-19 pandemic. International Journal of Health Sciences, 6(3), 10156–10163.
[27] Ashifa, K. M., & Ramya, P. (2019). Health afflictions and quality of work life among women working in fireworks industry. International Journal of Engineering and Advanced Technology, 8(6S3), 1723–1725.
[28] Basha, R., Pathak, P., Sudha, M., Soumya, K. V., & Arockia Venice, J. (2025). Optimization of quantum dilated convolutional neural networks: Image recognition with quantum computing. Internet Technology Letters, 8(3), e70027.
[29] Catherine, S., Gupta, N., Gopi, E., & Swadhi, R. (2025). Enhancing Patient Engagement and Outcomes Through Digital Transformation: Machine Learning in Medical Marketing. In Impact of Digital Transformation on Business Growth and Performance (pp. 285-312). IGI Global Scientific Publishing.
[30] Devi, M., Manokaran, D., Sehgal, R. K., Shariff, S. A., & Vettriselvan, R. (2025). Precision Medicine, Personalized Treatment, and Network-Driven Innovations: Transforming Healthcare With AI. In AI for Large Scale Communication Networks (pp. 303-322). IGI Global Scientific Publishing.
[31] Elkin, N., Mohammed, A. K., Kilincel, S., Soydan, A. M., Tanriver, S. C., Celik, S., & Ranganathan, M. (2025). Mental health literacy and happiness among university students: A social work perspective to promoting well-being. Frontiers in Psychiatry, 16, 1541316.
[32] Gayathri, R. K., Vettriselvan, R., Rajesh, D., Balakrishnan, R., Kumar, R., & Kavitha, J. (2025). Striking a Balance: Mental Health Challenges and Work-Life Integration among Women Faculty in Indian B-Schools. Texila International Journal of Public Health, 13(2).
[33] Gayathri, R. K., Vettriselvan, R., Rajesh, D., Balakrishnan, R., Kumar, R., & Kavitha, J. (2025). Strategic Role of Human Resource Management in Enhancing Occupational Health and Safety Practices in Business Schools in India. Texila International Journal of Public Health, 13(2).
[34] Jenifer, R. D., Vettriselvan, R., Saxena, D., Velmurugan, P. R., & Balakrishnan, A. (2025). Green Marketing in Healthcare Advertising: A Global Perspective. In AI Impacts on Branded Entertainment and Advertising (pp. 303-326). IGI Global Scientific Publishing.
[35] Kariveliparambil, A., Rasi, R. A., Ahmad, M. S., Oztas, N., & Ayan, F. S. (2026). Evolving Social Capital in Indigenous Communities: Perspectives on Trust, Reciprocity, and Cultural Preservation Among Irula Elders. Journal of Social Service Research, 52(1), 147–166.
[36] Mustafa, N., Zahoor, H., Gamil, R. E., Ashifa, K. M., & Safaei, M. (2026). Empowering future caregivers: the role of self-leadership in reducing stress among nursing students. International Journal of Innovation and Learning, 39(1), 74-103.
[37] Natraj, N. A., Abirami, T., Ananthi, K., Venice, J. A., Chandru, R., & Rathish, C. R. (2024). The Impact of 5G Technology on the Digital Supply Chain and Operations Management Landscape. In Applications of New Technology in Operations and Supply Chain Management (pp. 289-311). IGI Global Scientific Publishing.
[38] Ranganathan, M., Jacob, A., Ashifa, K. M., Kumar, G. J., Anthony, M., Vijay, M., & Kumari, R. B. (2024). An investigation of the effects of chronic stress on attention in parents of children with neurodevelopmental disorders. Universal Journal of Public Health, 12(1), 37–50.
[39] Shanthi, H. J., Gokulakrishnan, A., Sharma, S., Deepika, R., & Swadhi, R. (2025). Leveraging Artificial Intelligence for Enhancing Urban Health: Applications, Challenges, and Innovations. In Nexus of AI, Climatology, and Urbanism for Smart Cities (pp. 275-306). IGI Global Scientific Publishing.
[40] Swadhi, R., Gayathri, K., Suresh, N. V., Catherine, S., & Velmurugan, P. R. (2025). Leveraging Machine Learning for Enhanced Patient Engagement and Outcomes: Revolutionizing Healthcare Marketing. In Impact of Digital Transformation on Business Growth and Performance (pp. 313-340). IGI Global Scientific Publishing.
[41] Swadhi, R., Velmurugan, P. R., Mahalingam, U., Keerthana, R., & Padmavathy, N. (2026). Embedding Fairness and Resilience: Human-Centered Leadership in AI-Driven Workplaces. In Centering Positive Organizational Cultures Through Human-Centered Leadership (pp. 139-162). IGI Global Scientific Publishing.
[42] Venice, J. A., Arivazhagan, D., Suman, N., Shanthi, H. J., & Swadhi, R. (2025). Recommendation systems and content personalization: algorithms, applications, and adaptive learning. In AI for Large Scale Communication Networks (pp. 323-348). IGI Global Scientific Publishing.
[43] Venice, J. A., Vettriselvan, R., Rajesh, D., Suresh, N. V., & Abirami, P. (2025). Enabling personalized learning and adaptive systems through strategic management: cloud integration in education. In Bridging Academia and Industry Through Cloud Integration in Education (pp. 49-72). IGI Global Scientific Publishing.
[44] Venice, J. A., Vettriselvan, R., Jain, S., Madusudanan, K., & Aarthy, C. C. J. (2025). Performance Evaluation and Metrics in Blockchain Powered AI/ML: Data Analytics for Cognitive Internet of Things (CIoT). In Transforming Education With AI-Powered Personalized Learning (pp. 143-178). IGI Global Scientific Publishing.
[45] Venice, A., Swadhi, R., Gayathri, K., Chandra, P., & Sajana, K. P. (2026). Rehabilitation Robotics and Adaptive Motion Planning for Patient-Centric Care. In Intelligent Motion Control for Human-Centered Systems (pp. 51-76). IGI Global Scientific Publishing.
[46] Vettriselvan, R. (2025). Harnessing innovation and digital marketing in the era of industry 5.0: resilient healthcare SMEs. In The Future of Small Business in Industry 5.0 (pp. 163-186). IGI Global Scientific Publishing.
[47] Vettriselvan, R., & Anto, M. R. (2018). Pathetic health status and working condition of Zambian women. Indian Journal of Public Health Research & Development, 9(9), 259-264.
[48] Vettriselvan, R., & Rajan FSA, A. J. (2019). Occupational Health Issues Faced by Women in Spinners. Indian Journal of Public Health Research & Development, 10(1).
[49] Vettriselvan, R., Deepan, A., Jaiswani, G., Balakrishnan, A., & Sakthivel, R. (2025). Health Consequences of Early Marriage: Examining Morbidity and Long-Term Wellbeing. In Social, Political, and Health Implications of Early Marriage (pp. 189-212). IGI Global Scientific Publishing.
[50] Vettriselvan, R., Ramya, R., Selvalakshmi, V., Jyothi, P., & Velmurugan, P. R. (2026). Empowering Patients through Knowledge: Educational Strategies in Rehabilitation. In Holistic Approaches to Health Recovery (pp. 263-290). IGI Global Scientific Publishing.
[51] Vijayalakshmi, M., Subramani, A. K., Vettriselvan, R., Catherin, T. C., & Deepika, R. (2025). Sustainability and Responsibility in the Digital Era: Leveraging Green Marketing in Healthcare. In Digital Citizenship and Building a Responsible Online Presence (pp. 285-306). IGI Global Scientific Publishing.
[52] Vijayalakshmi, M., Subramani, A. K., Vettriselvan, R., Velmurugan, P. R., & Hasine, J. (2025). Strategic Collaborations in Medical Innovation and AI-Driven Globalization: Advancing Healthcare Startups. In Navigating Strategic Partnerships for Sustainable Startup Growth (pp. 85-110). IGI Global Scientific Publishing.
[53] Zahoor, H., Mustafa, N., Ashifa, K. M., Safaei, M., & El Gamil, R. (2025). Unlocking resilience: Emotional intelligence and self-leadership shape stress perception among health students. International Journal of Innovation and Learning, 38(4), 395–419.

Received : 17 February 2026
Accepted : 29 April 2026
Published : 02 May 2026
DOI: 10.30726/ijmrss/v13.i2.2026.13259

59.-79_Psychiatric_Emergencies_Hospital_Practice.pdf

Challenges Faced by School Head Teachers in Administration and Management of Resources in Schools in Mongu District, Zambia: AI-Assisted School Management, Digital Governance and Leadership Capacity

Author
Simakando Monde, Dr. Siyumbwa Costa
Keywords
Head Teacher; School Administration; Resource Management; Mongu District; Zambia; AI School Management; Digital Governance; Educational Leadership.
Abstract
School head teachers are the pivotal institutional leaders upon whose administrative competence, resource management skill, and pedagogical vision the educational quality of their schools depends. In Mongu District, Western Province, Zambia, head teachers face significant and compounding challenges in school administration and resource management encompassing inadequate administrative training, resource scarcity, community-school relationship complexity, staff management challenges, and absence of digital management support tools. This article examines the challenges faced by head teachers in school administration and resource management in Mongu District, contextualising findings within global scholarship on educational leadership, AI-assisted school management systems, digital school governance platforms, and human resource management in education. Drawing on a mixed-methods survey of head teachers and education officers, findings identify financial resource management, teacher human resource challenges, community engagement difficulties, physical resource maintenance, and data management inadequacies as primary administrative challenges. AI-powered school management information systems, digital financial management platforms, and community-school communication tools are identified as evidence-based solutions. Policy recommendations are presented.
References
[1] Akila, V., Prabhu, G., Akila, R., & Swadhi, R. (2025). Performance metrics in blockchain-enabled AIML for cognitive IoT in large-scale networks. In AI for large scale communication networks (pp. 265–288). IGI Global Scientific Publishing.
[2] Arockia, V. J., Vettriselvan, R., Rajesh, D., Velmurugan, P. R. R., & Cheelo, C. (2025). Leveraging AI and learning analytics for enhanced distance learning. In AI and learning analytics in distance learning (pp. 179–206). IGI Global Scientific Publishing.
[3] Ashifa, K. M. (2019). Developmental initiatives for persons with disabilities. Indian Journal of Public Health Research & Development, 10(12), 1257–1261.
[4] Ashifa, K. M. (2020a). Effect of substance abuse on physical health of adolescents. European Journal of Molecular & Clinical Medicine, 7(2), 3155–3160.
[5] Ashifa, K. M. (2020b). Physical health hazards of schizophrenia patients. Systematic Reviews in Pharmacy, 11(12), 1848–1850.
[6] Ashifa, K. M. (2021a). Analysis on the determinants of health status among tribal communities. Journal of Cardiovascular Disease Research, 12(3), 531–534.
[7] Ashifa, K. M. (2021b). Health status of primitive tribal women in India. Journal of Cardiovascular Disease Research, 12(5), 772.
[8] Ashifa, K. M. (2022). A situation analysis of the social well-being of elderly during the COVID-19 pandemic. International Journal of Health Sciences, 6(3), 10156–10163.
[9] Ashifa, K. M., & Ramya, P. (2019). Health afflictions and quality of work life among women working in fireworks industry. International Journal of Engineering and Advanced Technology, 8(6S3), 1723–1725.
[10] Basha, R., Pathak, P., Sudha, M., Soumya, K. V., & Arockia Venice, J. (2025). Optimization of quantum dilated convolutional neural networks: Image recognition with quantum computing. Internet Technology Letters, 8(3), e70027.
[11] Devi, M., Manokaran, D., Sehgal, R. K., Shariff, S. A., & Vettriselvan, R. (2025). Precision medicine, personalized treatment, and network-driven innovations. In AI for large scale communication networks (pp. 303–322). IGI Global.
[12] Elkin, N., Mohammed, A. K., Kılınçel, Ş., Soydan, A. M., Tanrıver, S. Ç., Çelik, Ş., & Ranganathan, M. (2025). Mental health literacy and happiness among university students. Frontiers in Psychiatry, 16, 1541316.
[13] Gayathri, R. K., Vettriselvan, R., Rajesh, D., Balakrishnan, R., Kumar, R., & Kavitha, J. (2025a). Striking a balance: Mental health challenges and work-life integration among women faculty in Indian B-Schools. Texila International Journal of Public Health, 13(2).
[14] Gayathri, R. K., Vettriselvan, R., Rajesh, D., Balakrishnan, R., Kumar, R., & Kavitha, J. (2025b). Strategic role of human resource management in enhancing occupational health and safety practices. Texila International Journal of Public Health, 13(2).
[15] Jenifer, R. D., Vettriselvan, R., Saxena, D., Velmurugan, P. R., & Balakrishnan, A. (2025). Green marketing in healthcare advertising: A global perspective. In AI impacts on branded entertainment and advertising (pp. 303–326). IGI Global.
[16] Kariveliparambil, A., Rasi, R. A., Ahmad, M. S., Öztaş, N., & Ayan, F. S. (2026a). Evolving social capital in indigenous communities. Journal of Social Service Research, 52(1), 147–166.
[17] Kariveliparambil, A., R A, R., Ahmad, M. S., Ramesh, S., & Kuriakose, A. (2026b). Invisible burdens of platform work. International Journal of Qualitative Studies on Health and Well-Being, 21(1).
[18] Kombo, D. K., & Tromp, D. L. A. (2014). Proposal and thesis writing: An introduction. Paulines Publications Africa.
[19] Meena, G., Vettriselvan, R., Rajesh, D., & Velmurugan, P. R. (2025). Diversity and inclusion: Harnessing the power of inclusivity for business success. In Security and strategy models for key-solving institutional frameworks (pp. 203–234). IGI Global Scientific Publishing.
[20] Mohanbabu, S., & Vettriselvan, R. (2025a). Focusing supply chain and container terminal challenges. International Journal of Procurement Management, 24(1), 92–114.
[21] Mohanbabu, S., & Vettriselvan, R. (2025b). Will machine learning resolve the issues in container management. International Journal of Process Management and Benchmarking, 20(4), 559–575.
[22] Orodho, J. A., & Kombo, D. K. (2012). Research methods. Kenyatta University Press.
[23] Rajeswari, M., Rohini, V., Sathya Aarthi, R., Rameshkumaar, V. P., & Arul Krishnan, S. (2026). Blockchain 2.0 for secure, transparent, and autonomous logistics systems. In R. Vettriselvan & N. Suresh (Eds.), Intelligent motion control for human-centered systems (pp. 233–258). IGI Global Scientific Publishing.
[24] Ranganathan, M., Jacob, A., Ashifa, K. M., Kumar, G. J., Anthony, M., Vijay, M., & Kumari, R. B. (2024). An investigation of the effects of chronic stress on attention in parents of children with neurodevelopmental disorders. Universal Journal of Public Health, 12(1), 37–50.
[25] Rasi, R. A., & Ashifa, K. M. (2019). Role of community-based programmes for active ageing. Indian Journal of Public Health Research & Development, 10(12).
[26] Shanthi, H. J., Gokulakrishnan, A., Sharma, S., Deepika, R., & Swadhi, R. (2025). Leveraging artificial intelligence for enhancing urban health. In Nexus of AI, climatology, and urbanism for smart cities (pp. 275–306). IGI Global.
[27] Swadhi, R., Gayathri, K., Suresh, N. V., Catherine, S., & Velmurugan, P. R. (2025a). Leveraging machine learning for enhanced patient engagement and outcomes. In Impact of digital transformation on business growth and performance (pp. 313–340). IGI Global Scientific Publishing.
[28] Swadhi, R., Velmurugan, P. R., Gayathri, K., & Catherine, S. (2025b). Evolving critical themes in advanced human resource management. In Critical aspects in advanced human resource management (pp. 75–102). IGI Global Scientific Publishing.
[29] Vasantha, S., Swadhi, R., Gayathri, K., Selvalakshmi, V., & UmaDevi, A. (2025). Fostering personalized learning and achieving equity in education. In Transforming education with AI-powered personalized learning (pp. 201–236). IGI Global Scientific Publishing.
[30] Venice, J. A., Arivazhagan, D., Suman, N., Shanthi, H. J., & Swadhi, R. (2025a). Recommendation systems and content personalization. In AI for large scale communication networks (pp. 323–348). IGI Global Scientific Publishing.
[31] Venice, J. A., Vettriselvan, R., Jain, S., Madusudanan, K., & Aarthy, C. C. J. (2025b). Performance evaluation and metrics in blockchain powered AI/ML. In Transforming education with AI-powered personalized learning (pp. 143–178). IGI Global Scientific Publishing.
[32] Venice, J. A., Vettriselvan, R., Rajesh, D., Suresh, N. V., & Abirami, P. (2025c). Enabling personalized learning and adaptive systems through strategic management. In Bridging academia and industry through cloud integration in education (pp. 49–72). IGI Global Scientific Publishing.
[33] Venice, J. A., Vettriselvan, R., Rajesh, D., Xavier, P., & Shanthi, H. J. (2025d). Optimizing performance metrics in blockchain-enabled AI/ML data analytics. In Enhancing automated decision-making through AI (pp. 97–122). IGI Global.
[34] Venice, J. A., Sripathi, S. K., & Moonga, B. (2025e). Social deviance and the influence of internet exposure. ASET Journal of Management Science, 4(SI-1).
[35] Venice, J. A. A., Jio, W., Kant, S., Sharda, S., & Mittal, S. (2025f). Ethical leadership effect on the regulation of AI in cyber security. In Ethical challenges of AI and warfare (pp. 133–152). IGI Global Scientific Publishing.
[36] Venice, J. A. A., Muthuraman, M., Kant, S., & Mittal, S. (2026). Community engagement effect on school leadership through digital volunteerism. In Strengthening community engagement and school leadership through digital volunteerism (pp. 85–114). IGI Global Scientific Publishing.
[37] Vettriselvan, R. (2025). Harnessing innovation and digital marketing in the era of industry 5.0. In The future of small business in industry 5.0 (pp. 163–186). IGI Global.
[38] Vettriselvan, R., & Anto, M. R. (2018). Pathetic health status and working condition of Zambian women. Indian Journal of Public Health Research & Development, 9(9), 259–264.
[39] Vettriselvan, R., & Rajan FSA, A. J. (2019). Occupational health issues faced by women in spinners. Indian Journal of Public Health Research & Development, 10(1).
[40] Vettriselvan, R., Deepan, A., Jaiswani, G., Balakrishnan, A., & Sakthivel, R. (2025a). Health consequences of early marriage. In Social, political, and health implications of early marriage (pp. 189–212). IGI Global.
[41] Vettriselvan, R., Velmurugan, P. R., Varshney, K. R., EP, J., & Deepika, R. (2025b). Health impacts of smartphone and internet addictions across age groups. In Impacts of digital technologies across generations (pp. 187–210). IGI Global.
[42] Vettriselvan, R., Velmurugan, P. R., Suresh, N. V., & Catherine, S. (2025c). Strategies, best practices, and pitfalls in the era of digital transformation. In Impact of digital transformation on business growth and performance (pp. 67–98). IGI Global Scientific Publishing.
[43] Vettriselvan, R., Selvi, K., Kumar, A. S., Ranjani, R. D., & Varshney, K. R. (2025d). Ranking methodologies: Criteria and controversies in global higher education. In Global university ranking systems (pp. 109–140). IGI Global Scientific Publishing.
[44] Vettriselvan, R., Gokuldas, P. G., & Sambamoorthy, N. (2025e). Designing language materials to motivate, engage, and empower learners. In Exploring the psychology of language materials development (pp. 279–302). IGI Global Scientific Publishing.
[45] Vettriselvan, R., Ramya, R., Selvalakshmi, V., Jyothi, P., & Velmurugan, P. R. (2026a). Empowering patients through knowledge: Educational strategies in rehabilitation. In Holistic approaches to health recovery (pp. 263–290). IGI Global Scientific Publishing.
[46] Vettriselvan, R., Velmurugan, P. R., Savariapitchai, M., & Swadhi, R. (2026b). AI and international volunteering. In Impacts of AI on international volunteering (pp. 1–24). IGI Global Scientific Publishing.
[47] Vijayalakshmi, M., Subramani, A. K., Vettriselvan, R., Catherin, T. C., & Deepika, R. (2025a). Sustainability and responsibility in the digital era. In Digital citizenship and building a responsible online presence (pp. 285–306). IGI Global.
[48] Vijayalakshmi, M., Subramani, A. K., Vettriselvan, R., Velmurugan, P. R., & Hasine, J. (2025b). Strategic collaborations in medical innovation and AI-driven globalization. In Navigating strategic partnerships for sustainable startup growth (pp. 85–110). IGI Global.
[49] Vinodh, N., Subramani, A. K., & Vettriselvan, R. (2026a). Navigating ethics, society, and governance in the digital age. In Ethics, justice, and governance in the age of AI and digital societies (pp. 1–26). IGI Global Scientific Publishing.
[50] Vinodh, N., Subramani, A. K., & Vettriselvan, R. (2026b). Transforming the future of management and medical education. In AI education strategies for future-proofing curriculum design (pp. 459–476). IGI Global Scientific Publishing.
[51] Zahoor, H., Mustafa, N., Ashifa, K. M., Safaei, M., & El Gamil, R. (2025). Unlocking resilience: Emotional intelligence and self-leadership shape stress perception among health students. International Journal of Innovation and Learning, 38(4), 395–419.

Received : 11 February 2026
Accepted : 29 April 2026
Published : 02 May 2026
DOI: 10.30726/ijmrss/v13.i2.2026.13257

57.-29-Simakando-Monde.pdf

Reducing Mental Health Stigma through Community Interventions Evidence-Based Strategies, Community Engagement Models and Public Health Outcomes

Author
Dr. Rohit Tiwari, Anita Rani, Ajay Kumar
Keywords
Mental Health Stigma; Stigma Reduction; Anti-Stigma Interventions; Mental Health Literacy; Community Mental Health; Social Contact Interventions.
Abstract
Mental health stigma represents one of the most significant barriers to healthcare access and treatment-seeking among individuals with mental health disorders. Stigma manifests as negative attitudes, stereotypes, and discriminatory behaviour towards people with mental illness, leading to social exclusion, reduced self-esteem, and reluctance to seek professional help. This cross-sectional analytical study examines the effectiveness of community-based mental health stigma reduction interventions among 246 community members and healthcare workers. Social contact and education combined approaches demonstrated the highest improvements in mental health attitudes (F=7.28, p=0.001). Significant improvements in mental health literacy, attitudes toward treatment, willingness to support people with mental illness, and treatment-seeking intentions were observed following anti-stigma programmes. The study emphasises the importance of sustained, culturally sensitive, multi-component stigma reduction programmes in improving mental health outcomes at the community level.
References
[1] Anindhita, M., et al. (2024). Community-based psychosocial support interventions to reduce stigma and improve mental health. Infectious Diseases of Poverty, 13(1), 90.
[2] Blignault, I., et al. (2009). Using a multifaceted community intervention to reduce stigma about mental illness in an Australian Macedonian community. Health Promotion Journal of Australia, 20(3), 227–233.
[3] Clay, J., et al. (2020). Core components of mental health stigma reduction interventions in low-and middle-income countries. Epidemiology and Psychiatric Sciences, 29, e164.
[4] Codjoe, L., et al. (2021). Evidence for interventions to promote mental health and reduce stigma in Black faith communities. Social Psychiatry and Psychiatric Epidemiology, 56(6), 895–911.
[5] Crockett, M. A., et al. (2025). Interventions to Reduce Mental Health Stigma in Young People: A Systematic Review and Meta-Analysis. JAMA Network Open, 8(1), e2454730.
[6] Dalky, H. F. (2012). Mental illness stigma reduction interventions: Review of intervention trials. Western Journal of Nursing Research, 34(4), 520–547.
[7] Dharitri, R., Rao, S. N., & Kalyanasundaram, S. (2015). Stigma of mental illness: An interventional study to reduce its impact in the community. Indian Journal of Psychiatry, 57(2), 165–173.
[8] Heijnders, M., & Van Der Meij, S. (2006). The fight against stigma: an overview of stigma-reduction strategies and interventions. Psychology, Health & Medicine, 11(3), 353–363.
[9] Javed, A., et al. (2021). Reducing the stigma of mental health disorders with a focus on low-and middle-income countries. Asian Journal of Psychiatry, 58, 102601.
[10] Kaur, A., et al. (2021). Systematic review of interventions to reduce mental health stigma in India. Asian Journal of Psychiatry, 55, 102466.
[11] Knifton, L., et al. (2010). Community conversation: addressing mental health stigma with ethnic minority communities. Social Psychiatry and Psychiatric Epidemiology, 45(4), 497–504.
[12] Kohrt, B. A., et al. (2020). Reducing mental illness stigma in healthcare settings: proof of concept for a social contact intervention. Social Science & Medicine, 250, 112852.
[13] Ma, K. K. Y., Anderson, J. K., & Burn, A. M. (2023). School-based interventions to improve mental health literacy and reduce mental health stigma. Child and Adolescent Mental Health, 28(2), 230–240.
[14] Morgan, A. J., et al. (2018). Interventions to reduce stigma towards people with severe mental illness: Systematic review and meta-analysis. Journal of Psychiatric Research, 103, 120–133.
[15] Thornicroft, G., et al. (2016). Evidence for effective interventions to reduce mental-health-related stigma and discrimination. The Lancet, 387(10023), 1123–1132.
[16] Arockia, V. J., Vettriselvan, R., Rajesh, D., Velmurugan, P. R. R., & Cheelo, C. (2025). Leveraging AI and Learning analytics for enhanced distance learning: transformation in education. In AI and learning analytics in distance learning (pp. 179-206). IGI Global Scientific Publishing.
[17] Ashifa, K. M. (2019). Developmental initiatives for persons with disabilities: Appraisal on village-based rehabilitation of Amar Seva Sangam. Indian Journal of Public Health Research & Development, 10(12), 1257–1261.
[18] Rasi, R. A., & Ashifa, K. M. (2019). Role of community-based programmes for active ageing: Elders self-help group in Kerala. Indian Journal of Public Health Research & Development, 10(12).
[19] Ashifa, K. M. (2020). Effect of substance abuse on physical health of adolescents. European Journal of Molecular & Clinical Medicine, 7(2), 3155–3160.
[20] Ashifa, K. M. (2020). Physical health hazards of schizophrenia patients. Systematic Reviews in Pharmacy, 11(12), 1848–1850.
[21] Ashifa, K. M. (2021). Analysis on the determinants of health status among tribal communities. Journal of Cardiovascular Disease Research, 12(3), 531–534.
[22] Ashifa, K. M. (2021). Health status of primitive tribal women in India. Journal of Cardiovascular Disease Research, 12(5), 772.
[23] Ashifa, K. M. (2022). A situation analysis of the social well-being of elderly during the COVID-19 pandemic. International Journal of Health Sciences, 6(3), 10156–10163.
[24] Ashifa, K. M., & Ramya, P. (2019). Health afflictions and quality of work life among women working in fireworks industry. International Journal of Engineering and Advanced Technology, 8(6S3), 1723–1725.
[25] Basha, R., Pathak, P., Sudha, M., Soumya, K. V., & Arockia Venice, J. (2025). Optimization of quantum dilated convolutional neural networks: Image recognition with quantum computing. Internet Technology Letters, 8(3), e70027.
[26] Catherine, S., Gupta, N., Gopi, E., & Swadhi, R. (2025). Enhancing Patient Engagement and Outcomes Through Digital Transformation: Machine Learning in Medical Marketing. In Impact of Digital Transformation on Business Growth and Performance (pp. 285-312). IGI Global Scientific Publishing.
[27] Devi, M., Manokaran, D., Sehgal, R. K., Shariff, S. A., & Vettriselvan, R. (2025). Precision Medicine, Personalized Treatment, and Network-Driven Innovations: Transforming Healthcare With AI. In AI for Large Scale Communication Networks (pp. 303-322). IGI Global Scientific Publishing.
[28] Elkin, N., Mohammed, A. K., Kilincel, S., Soydan, A. M., Tanriver, S. C., Celik, S., & Ranganathan, M. (2025). Mental health literacy and happiness among university students: A social work perspective to promoting well-being. Frontiers in Psychiatry, 16, 1541316.
[29] Gayathri, R. K., Vettriselvan, R., Rajesh, D., Balakrishnan, R., Kumar, R., & Kavitha, J. (2025). Striking a Balance: Mental Health Challenges and Work-Life Integration among Women Faculty in Indian B-Schools. Texila International J. of Public Health, 13(2).
[30] Gayathri, R. K., Vettriselvan, R., Rajesh, D., Balakrishnan, R., Kumar, R., & Kavitha, J. (2025). Strategic Role of Human Resource Management in Enhancing Occupational Health and Safety Practices in Business Schools in India. Texila International Journal of Public Health, 13(2).
[31] Jenifer, R. D., Vettriselvan, R., Saxena, D., Velmurugan, P. R., & Balakrishnan, A. (2025). Green Marketing in Healthcare Advertising: A Global Perspective. In AI Impacts on Branded Entertainment and Advertising (pp. 303-326). IGI G S Publishing.
[32] Kariveliparambil, A., Rasi, R. A., Ahmad, M. S., Oztas, N., & Ayan, F. S. (2026). Evolving Social Capital in Indigenous Communities: Perspectives on Trust, Reciprocity, and Cultural Preservation Among Irula Elders. Journal of Social Service Research, 52(1), 147–166.
[33] Mustafa, N., Zahoor, H., Gamil, R. E., Ashifa, K. M., & Safaei, M. (2026). Empowering future caregivers: the role of self-leadership in reducing stress among nursing students. International Journal of Innovation and Learning, 39(1), 74-103.
[34] Natraj, N. A., Abirami, T., Ananthi, K., Venice, J. A., Chandru, R., & Rathish, C. R. (2024). The Impact of 5G Technology on the Digital Supply Chain and Operations Management Landscape. In Applications of New Technology in Operations and Supply Chain Management (pp. 289-311). IGI Global Scientific Publishing.
[35] Ranganathan, M., Jacob, A., Ashifa, K. M., Kumar, G. J., Anthony, M., Vijay, M., & Kumari, R. B. (2024). An investigation of the effects of chronic stress on attention in parents of children with neurodevelopmental disorders. Universal Journal of Public Health, 12(1), 37–50.
[36] Shanthi, H. J., Gokulakrishnan, A., Sharma, S., Deepika, R., & Swadhi, R. (2025). Leveraging Artificial Intelligence for Enhancing Urban Health: Applications, Challenges, and Innovations. In Nexus of AI, Climatology, and Urbanism for Smart Cities (pp. 275-306). IGI Global Scientific Publishing.
[37] Swadhi, R., Gayathri, K., Suresh, N. V., Catherine, S., & Velmurugan, P. R. (2025). Leveraging Machine Learning for Enhanced Patient Engagement and Outcomes: Revolutionizing Healthcare Marketing. In Impact of Digital Transformation on Business Growth and Performance (pp. 313-340). IGI Global Scientific Publishing.
[38] Swadhi, R., Velmurugan, P. R., Mahalingam, U., Keerthana, R., & Padmavathy, N. (2026). Embedding Fairness and Resilience: Human-Centered Leadership in AI-Driven Workplaces. In Centering Positive Organizational Cultures Through Human-Centered Leadership (pp. 139-162). IGI G Scientific Publishing.
[39] Venice, J. A., Arivazhagan, D., Suman, N., Shanthi, H. J., & Swadhi, R. (2025). Recommendation systems and content personalization: algorithms, applications, and adaptive learning. In AI for Large Scale Communication Networks (pp. 323-348). IGI Global Scientific Publishing.
[40] Venice, J. A., Vettriselvan, R., Rajesh, D., Suresh, N. V., & Abirami, P. (2025). Enabling personalized learning and adaptive systems through strategic management: cloud integration in education. In Bridging Academia and Industry Through Cloud Integration in Education (pp. 49-72). IGI Glo. Scientific Publishing.
[41] Venice, J. A., Vettriselvan, R., Jain, S., Madusudanan, K., & Aarthy, C. C. J. (2025). Performance Evaluation and Metrics in Blockchain Powered AI/ML: Data Analytics for Cognitive Internet of Things (CIoT). In Transforming Education With AI-Powered Personalized Learning (pp. 143-178). IGI Global Scientific Publishing.
[42] Venice, A., Swadhi, R., Gayathri, K., Chandra, P., & Sajana, K. P. (2026). Rehabilitation Robotics and Adaptive Motion Planning for Patient-Centric Care. In Intelligent Motion Control for Human-Centered Systems (pp. 51-76). IGI Global Scientific Publishing.
[43] Vettriselvan, R. (2025). Harnessing innovation and digital marketing in the era of industry 5.0: resilient healthcare SMEs. In The Future of Small Business in Industry 5.0 (pp. 163-186). IGI Global Scientific Publishing.
[44] Vettriselvan, R., & Anto, M. R. (2018). Pathetic health status and working condition of Zambian women. Indian Journal of Public Health Research & Development, 9(9), 259-264.
[45] Vettriselvan, R., & Rajan FSA, A. J. (2019). Occupational Health Issues Faced by Women in Spinners. Indian Journal of Public Health Research & Development, 10(1).
[46] Vettriselvan, R., Deepan, A., Jaiswani, G., Balakrishnan, A., & Sakthivel, R. (2025). Health Consequences of Early Marriage: Examining Morbidity and Long-Term Wellbeing. In Social, Political, and Health Implications of Early Marriage (pp. 189-212). IGI Global Scientific Publishing.
[47] Vettriselvan, R., Ramya, R., Selvalakshmi, V., Jyothi, P., & Velmurugan, P. R. (2026). Empowering Patients through Knowledge: Educational Strategies in Rehabilitation. In Holistic Approaches to Health Recovery (pp. 263-290). IGI G S Publishing.
[48] Vijayalakshmi, M., Subramani, A. K., Vettriselvan, R., Catherin, T. C., & Deepika, R. (2025). Sustainability and Responsibility in the Digital Era: Leveraging Green Marketing in Healthcare. In Digital Citizenship and Building a Responsible Online Presence (pp. 285-306). IGI Global Scientific Publishing.
[49] Vijayalakshmi, M., Subramani, A. K., Vettriselvan, R., Velmurugan, P. R., & Hasine, J. (2025). Strategic Collaborations in Medical Innovation and AI-Driven Globalization: Advancing Healthcare Startups. In Navigating Strategic Partnerships for Sustainable Startup Growth (pp. 85-110). IGI Global Scientific Publishing.
[50] Zahoor, H., Mustafa, N., Ashifa, K. M., Safaei, M., & El Gamil, R. (2025). Unlocking resilience: Emotional intelligence and self-leadership shape stress perception among health students. International Journal of Innovation and Learning, 38(4), 395–419.

Received : 10 February 2026
Accepted : 29 April 2026
Published : 02 May 2026
DOI: 10.30726/ijmrss/v13.i2.2026.13260

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