A Social Marketing Framework for Reducing Public Resistance to New Policy Interventions

Authors

  • Chinyere Peace Isiekwu Tirzah Breed Foundation, Nigeria Author

DOI:

https://doi.org/10.32628/CSEIT251116278

Keywords:

Social marketing, Public policy acceptance, Behavioral change, Policy communication, Citizen engagement, Public resistance

Abstract

Public resistance remains a persistent obstacle to the effective implementation of new policy interventions across sectors such as public health, environmental governance, education, and digital regulation. Conventional policy design often prioritizes legal compliance and technical feasibility while underestimating the behavioral, perceptual, and emotional drivers shaping public acceptance. This review paper advances a social marketing–based framework for reducing public resistance to new policy interventions by systematically integrating behavioral science, strategic communication, and stakeholder-centric design principles into the policy cycle. Drawing on interdisciplinary literature from social marketing, behavioral economics, public administration, and political communication, the study synthesizes evidence on how attitudes, perceived costs and benefits, trust in institutions, and social norms influence public responses to policy change. The proposed framework emphasizes audience segmentation, value exchange, co-creation, and adaptive messaging as core mechanisms for aligning policy objectives with citizen motivations. Particular attention is given to the role of framing, credible messengers, and feedback loops in mitigating misinformation, fear, and perceived loss associated with policy transitions. By positioning citizens as active participants rather than passive recipients of policy directives, the framework shifts policy implementation from a compliance-driven model to a relationship-oriented approach. This review contributes theoretically by bridging gaps between social marketing and policy studies, and practically by offering policymakers a structured, evidence-informed guide for designing and communicating policy interventions that are more likely to gain public trust and sustained support. The framework is intended to be adaptable across governance contexts, especially in environments characterized by low institutional trust, rapid social change, or high policy complexity.

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References

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Moyo, T. M., Tafirenyika, S., Tuboalabo, A., Taiwo, A. E., Bukhari, T. T., & Ajayi, A. E. (2023). Cloud-Based Knowledge Management Systems with AI-Enhanced Compliance and Data Privacy Safeguards. DOI: https://doi.org/10.54660/IJMFD.2023.4.2.67-77

Moyo, T. M., Taiwo, A. E., Ajayi, A. E., Tafirenyika, S., Tuboalabo, A., & Bukhari, T. T. (2021). Designing Smart BI Platforms for Government Healthcare Funding Transparency and Operational Performance Improvement. DOI: https://doi.org/10.54660/IJMER.2021.2.2.41-51

MUPA, M. N., TAFIRENYIKA, S., RUDAVIRO, M., NYAJEKA, T., MOYO, M., & ZHUWANKINYU, E. K. (2025). Machine Learning in Actuarial Science: Enhancing Predictive Models for Insurance Risk Management. vol, 8, 493-504.

MUPA, M. N., TAFIRENYIKA, S., RUDAVIRO, M., NYAJEKA, T., MOYO, M., & ZHUWANKINYU, E. K. (2025). Actuarial Implications of Data-Driven ESG Risk Assessment.

NDUKA, S. (2022). Assessment Framework for Measuring Socio-Economic Returns from Climate-Smart Farming Practices. _Gyanshauryam International Scientific Refereed Research Journal_, 5(1), 321 - 353. https://doi.org/10.32628/GISRRJ203357 DOI: https://doi.org/10.32628/GISRRJ203357

NDUKA, S. (2022). Modelling Strategy for Estimating Soil Organic Carbon Enhancement through Biochar Utilisation. _Gyanshauryam International Scientific Refereed Research Journal_, 5(1), 354 - 387. https://doi.org/10.32628/GISRRJ203358 DOI: https://doi.org/10.32628/GISRRJ203358

NDUKA, S. (2023). Analytical Approach to Balancing Agricultural Growth with Environmental Preservation Goals. _International Journal of Scientific Research in Computer Science, Engineering and Information Technology_, 9(6). https://doi.org/10.32628/CSEIT23906206 DOI: https://doi.org/10.32628/CSEIT23906206

NDUKA, S. (2023). Digital Framework for Precision Soil Management Using Geospatial and Predictive Analytics. _International Journal of Scientific Research in Computer Science, Engineering and Information Technology_, 9(6). https://doi.org/10.32628/CSEIT23906207 DOI: https://doi.org/10.32628/CSEIT23906207

NDUKA, S. D. (2024). Modelling System for Exploring Soil-Water-Nutrient Dynamics in Sustainable Crop Development. _Global Agronomy Research Journal_, 1(6), 25 - 48. https://doi.org/10.54660/GARJ.2024.1.6.25-48 DOI: https://doi.org/10.54660/GARJ.2024.1.6.25-48

NDUKA, S. D. (2025). Policy Analysis Framework for National Soil Health Monitoring and Climate-Responsive Agriculture. _Global Agronomy Research Journal_ , 2(6), 16 - 44. https://doi.org/10.54660/GARJ.2025.2.6.16-44 DOI: https://doi.org/10.54660/GARJ.2025.2.6.16-44

Nnabueze, S. B., Ike, P. N., Olatunde-Thorpe, J., Aifuwa, S. E., Oshoba, T. O., Ogbuefi, E., & Akokodaripon, D. (2021). End-to-End Visibility Frameworks Improving Transparency, Compliance, and Traceability Across Complex Global Supply Chain Operations. DOI: https://doi.org/10.54660/IJMFD.2021.2.2.50-60

Nnabueze, S. B., Ike, P. N., Olatunde-Thorpe, J., Aifuwa, S. E., Oshoba, T. O., Ogbuefi, E., & Akokodaripon, D. (2022). Supply chain disruption forecasting using network analytics. Journal or Publisher not Specified–Please Provide to Complete the Reference. DOI: https://doi.org/10.54660/.IJFMR.2022.3.2.193-203

Ofori, P., Asamoah, G., Amoah, B., Agyeman, K. O. A., & Yeboah, E. (2021). Combined application of poultry litter biochar and NPK fertilizer improves cabbage yield and soil chemical properties. Open Agriculture, 6(1), 356-368. DOI: https://doi.org/10.1515/opag-2021-0217

Ofori, S. D., Frempong, D., Olateju, M., & Ifenatuora, G. P. (2023). Early childhood education: a psychological approach review in Africa and the USA. Journal of Frontiers in Multidisciplinary Research, 4(1), 552-558. DOI: https://doi.org/10.54660/.JFMR.2023.4.1.552-558

Ofori, S. D., Frempong, D., Olateju, M., & Ifenatuora, G. P. (2024). Impact of Mentorship Programs on STEM Career Choices among High School Students. DOI: https://doi.org/10.54660/GMPJ.2024.1.4.47-58

Ofori, S. D., Frempong, D., Olateju, M., & Ifenatuora, G. P. (2025). Educational Reforms and Their Impact on Student Performance: A Review in African Countries. International Journal of Multidisciplinary Research and Growth Evaluation, 5. DOI: https://doi.org/10.54660/.IJMRGE.2024.5.3.1116-1125

Ofori, S. D., Ifenatuora, G. P., Frempong, D., & Olateju, M. (2024). The Integration of Augmented Reality in Education: A Review of Recent Advancements. DOI: https://doi.org/10.54660/GMPJ.2024.1.5.47-55

Ofori, S. D., Olateju, M., Frempong, D., & Ifenatuora, G. P. (2023). Online Education and Child Protection Laws: A Review of USA and African Contexts. Journal of Frontiers in Multidisciplinary Research, 4(1), 545-551. DOI: https://doi.org/10.54660/.JFMR.2023.4.1.545-551

Ofori, S. D., Olateju, M., Frempong, D., & Ifenatuora, G. P. (2024). Integrating AI with Emotional and Social Learning in Primary Education: Developing a Holistic Adaptive Learning Ecosystem. DOI: https://doi.org/10.54660/IJFEI.2024.1.4.25-32

Ogbole, J. I., Okoruwa, P. O., Babatope, O. M., & Oyewole, T. Developing an Integrated Data Visualization Model for Continuous Business Performance Monitoring and Optimization.

Ogbuefi, E., Aifuwa, S. E., Olatunde-Thorpe, J., & Akokodaripon, D. (2023). Explainable AI in credit decisioning: balancing accuracy and transparency.

Ogbuefi, E., Aifuwa, S. E., Olatunde-Thorpe, J., & Akokodaripon, D. (2025). Resilience in Critical Infrastructures: Conceptual Frameworks Addressing Convergence of Communication, Energy, Finance, and Healthcare Systems. convergence (Ngonso et al., 2025; Oni, 2025), 33, 54. DOI: https://doi.org/10.62225/2583049X.2025.5.5.5023

Ogbuefi, E., Olatunde-Thorpe, J., Aifuwa, S. E., Oshoba, T. O., & Akokodaripon, D. (2021). Neural network prediction of pavement roughness and ride quality using in-service roadway data. International Journal of Multidisciplinary Futuristic Development, 2(2), 34-49. DOI: https://doi.org/10.54660/IJMFD.2021.2.2.34-49

Ojeikere, K., Akintimehin, O. O., & Akomolafe, O. O. (2024). A digital health framework for expanding access to preventive services in marginalized communities. Int. j. adv. multidisc. res. stud, 4(6). DOI: https://doi.org/10.62225/2583049X.2024.4.6.4523

Okafor, C. M., Dako, O. F., & Osuji, V. C. (2021). Engineering High-Throughput Digital Collections Platforms for Multi-Billion-Dollar Payment Ecosystems.

Okafor, C. M., Dako, O. F., & Osuji, V. C. (2023). Architecting Embedded Finance Ecosystems that Converge Payments, Credit, and Data Services for Inclusive Economic Growth.

Okafor, C. M., Osuji, V. C., & Dako, O. F. (2024). Harmonizing risk governance, technology infrastructure, and compliance frameworks for future-ready banking systems. International Journal of Scientific Research in Humanities and Social Sciences, 1(1), 316-337.

Okafor, C. M., Wedraogo, L., Essandoh, S., Sakyi, J. K., Ibrahim, A. K., & Ogunwale, O. (2023). AI-driven decision-making and its impact on business performance.

Okafor, C. M., Wedraogo, L., Essandoh, S., Sakyi, J. K., Ibrahim, A. K., Babalola, A. S., & Adenuga, M. A. (2025). Analysis of Human Resource Development Initiatives and Employee Career Progression. DOI: https://doi.org/10.54660/IJMFD.2025.6.1.55-64

Okojie, J., Ike, P., Idu, J., Nnabueze, S. B., Filani, O., & Ihwughwavwe, S. (2023). Predictive analytics models for monitoring smart city emissions and infrastructure risk in urban ESG planning. International Journal of Multidisciplinary Futuristic Development, 4(1), 45-57. DOI: https://doi.org/10.54660/IJMFD.2023.4.1.45-57

Okoruwa, P. O., Babatope, O. M., & Akokodaripon, D. A. Reviewing AI Strategies for Enhancing Contractor-Homeowner Marketplace Matchmaking: Personalization, Trust, and Efficiency Perspectives.

Okoruwa, P. O., Babatope, O. M., Akokodaripon, D. A., & Akinleye, O. K. (2024). Developing Integrated Digital Platforms for Enhancing Transparency in Procurement and Supply Chain Management. DOI: https://doi.org/10.54660/.IJMRGE.2024.5.6.1719-1729

Okoruwa, P. O., Babatope, O. M., Akokodaripon, D. A., & Akinleye, O. K. (2025). Digital Procurement Transformation Approaches for Strengthening Efficiency in Global Supply Chain Management. DOI: https://doi.org/10.54660/.IJMRGE.2025.6.5.975-985

Okoruwa, P. O., Babatope, O. M., Mayo, W., & Adedayo, D. Designing a Secure Hybrid Cloud Management Model for Enterprise Resource Optimization and Data Protection.

OLADOYE, S. O., Bamigwojo, O. V., James, A. O., & Ijiga, O. M. (2021). AI-Driven Predictive Maintenance Modeling for High-Voltage Distribution Assets Using Sensor Fusion and Time-Series Degradation Analysis. DOI: https://doi.org/10.32628/IJSRSET2291524

Olagoke-Komolafe, O., & andOyeboade, J. (2023). Comparative analysis of native and invasive fish species' impact on freshwater ecosystem services. DOI: https://doi.org/10.54660/IJMER.2023.4.2.17-28

Olagoke-Komolafe, O., & Oyeboade, J. (2022). The role of digital monitoring systems in improving food quality and safety. International Journal of Multidisciplinary Futuristic Development, 3(1), 43-53. DOI: https://doi.org/10.54660/IJMFD.2022.3.1.43-53

Olagoke-Komolafe, O., & Oyeboade, J. (2023). Applying Lean Six Sigma methodologies to enhance food safety and operational efficiency. International Journal of Multidisciplinary Evolutionary Research, 4(1), 50-60. DOI: https://doi.org/10.54660/IJMER.2023.4.1.50-60

Olagoke-Komolafe, O., & Oyeboade, J. (2023). Aquaponics and urban farming solutions in the US: A comprehensive review-Assessing the viability, benefits, and challenges of integrating fish and plant farming in urban settings. International Journal of Multidisciplinary Futuristic Development, 4(2), 30-42. DOI: https://doi.org/10.54660/IJMFD.2023.4.2.30-42

Olagoke-Komolafe, O., & Oyeboade, J. (2024). Microbiological Quality Assessment of Ready-to-Eat Foods in Urban Markets: A Public Health Perspective. International Journal of Advanced Multidisciplinary Research and Studies, 4(4), 1387-1400. DOI: https://doi.org/10.62225/2583049X.2024.4.4.4854

Olagoke-Komolafe, O., & Oyeboade, J. (2025). Circular Economy in Fisheries: Transforming Aquatic Waste into Sustainable Resources for Agricultural and Industrial Use. Int J Multidiscip Futur Dev, 6, 45-58. DOI: https://doi.org/10.54660/IJMFD.2025.6.2.45-58

Olagoke-Komolafe, O., & Oyeboade, J. (2025). Multispecies Nutrient Optimization: A Transdisciplinary Approach to Sustainable Livestock and Aquatic Feed Design. DOI: https://doi.org/10.54660/IJMFD.2025.6.2.31-44

Olatunde-Thorpe, J., Aifuwa, S. E., Oshoba, T. O., Ogbuefi, E., & Akokodaripon, D. (2021). Framework for aligning organizational risk culture with cybersecurity governance objectives. International Journal of Multidisciplinary Futuristic Development, 2(2), 61-71. DOI: https://doi.org/10.54660/IJMFD.2021.2.2.61-71

Olatunde-Thorpe, J., Aifuwa, S. E., Oshoba, T. O., Ogbuefi, E., & Akokodaripon, D. (2022). Comparing MPLS and next-generation routing: A conceptual model for performance, cost, and reliability tradeoffs. International Journal of Multidisciplinary Evolutionary Research, 3(1), 110-119. DOI: https://doi.org/10.54660/IJMER.2022.3.1.110-119

Olatunde-Thorpe, J., Aifuwa, S. E., Oshoba, T. O., Ogbuefi, E., & Akokodaripon, D. (2022). UAV and computer vision integration for automated pavement distress detection and classification. International Journal of Multidisciplinary Evolutionary Research, 3(1), 90-109. DOI: https://doi.org/10.54660/IJMER.2022.3.1.90-109

Olatunde-Thorpe, J., Aifuwa, S. E., Oshoba, T., Ogbuefi, E., & Akokodaripon, D. (2022). Integrating load balancing strategies: Conceptual frameworks ensuring optimized performance across enterprise and service provider networks. Journal of Frontiers in Multidisciplinary Research, 3(2), 170-181. DOI: https://doi.org/10.54660/.IJFMR.2022.3.2.170-181

Omo-Emmanuel, U. K., Jegede, F. E., Airiagbonbu, B. O., Ogbonna, N. Y., Gado, P. N., & Agweye, A. U. (2023, December). Improving HIV testing efficiency and New Positive identification through Sexual Index Case Testing and Tracking Recency Outcome Across Three United States for International Development (USAID) Supported States in Nigeria. In HIV MEDICINE (Vol. 24, pp. 385-385). 111 RIVER ST, HOBOKEN 07030-5774, NJ USA: WILEY.

Omo-Emmanuel, U. K., Jegede, F. E., Gado, P. N., Agweye, A. U., & Akhigbe, M. (2023, December). Integration of HIV Recent Infection Testing Algorithm into HIV surveillance among Key Populations Across Six United States Agency for International Development (USAID) supported States in Nigeria: An Observational Study. In HIV MEDICINE (Vol. 24, pp. 532-533). 111 RIVER ST, HOBOKEN 07030-5774, NJ USA: WILEY.

Omolayo, O., Okare, B. P., Taiwo, A. E., & Aduloju, T. D. (2024). Utilizing Federated Health Databases and AI-Enhanced Neurodevelopmental Trajectory Mapping for Early Diagnosis of Autism Spectrum Disorder: A Review of Scalable Computational Models.

Omolayo, O., Taiwo, A. E., Aduloju, T. D., & Okare, B. P. (2022). Secure federated learning architectures for AI-powered health insurance fraud detection systems. International Journal of Scientific Research in Science and Technology (IJSRST), 9(4), 565-575.

Omolayo, O., Taiwo, A. E., Aduloju, T. D., Okare, B. P., Afuwape, A. A., & Frempong, D. (2024). Quantum machine learning algorithms for real-time epidemic surveillance and health policy simulation: A review of emerging frameworks and implementation challenges. International Journal of Multidisciplinary Research and Growth Evaluation, 5(3), 1084-1092. DOI: https://doi.org/10.54660/.IJMRGE.2024.5.3.1100-1108

Onyejiaka, I., Etsetowaghan, A., Atuma, E. N., Olatubosin, K., Gado, P., & Saliu, I. (2023, December). The impact of empirical quantification for implementing partners (EQUIP) tool on human resources for health for HIV case finding, Kwara State, North Central, Nigeria. In HIV MEDICINE (Vol. 24, pp. 384-385). 111 RIVER ST, HOBOKEN 07030-5774, NJ USA: WILEY.

Oparah, S. O., Gado, P., Ezeh, F. E., Gbaraba, S. V., & Adeleke, A. S. (2024). Assessing the Operational and Psychosocial Impact of the Compressed Workweek: A Meta-Analytic Review of Four-Day Work Week Trials Across Industries. DOI: https://doi.org/10.54660/GMPJ.2024.1.6.51-60

Oparah, S., Akomolafe, O. O., Sagay, I., Bolarinwa, T., & Taiwo, A. E. (2024). Glutamine metabolism in cancer: Identifying and overcoming therapeutic resistance. JFMR, 5, 283-288. DOI: https://doi.org/10.54660/.JFMR.2024.5.1.283-288

Osuji, V. C., Dako, O. F., & Okafor, C. M. (2023). Seamless Integration of Digital Supply-Chain Platforms with Commercial Banking to Enhance Working Capital Efficiency for SMEs.

Osuji, V. C., Dako, O. F., & Okafor, C. M. (2024). Orchestrating Multi-Vertical Digital Ecosystem Platforms across Housing, Education, Health, and Mobility to Drive Shared Prosperity. International Journal of Scientific Research in Humanities and Social Sciences, 1(1), 338-359.

Osuji, V. C., Okafor, C. M., & Dako, O. F. (2022). Developing Predictive, Data-Driven Growth Models for Transaction Banking to Optimize Corporate and Public-Sector Outcomes.

OYEBOADE, J. T., COMFORT, O. O., ELETU, T. A., & CHINONYEREM, C. A. (2025). Establishing optimal nutrient levels for improved livestock production and health: An equivalence multi-species comparison study. International Journal of Convergent and Informatics Science Research.

Oyeboade, J., & Komolafe, O. O. (2025). Ecological Role of Carnivorous Freshwater Fish in the Trophic Dynamics of Inland Water Bodies. DOI: https://doi.org/10.54660/IJMFD.2025.6.2.59-70

Oyeboade, J., & Olagoke-Komolafe, O. (2022). Integrating community-based conservation strategies in freshwater biodiversity preservation. International Journal of Multidisciplinary Futuristic Development, 3(1), 27-42. DOI: https://doi.org/10.54660/IJMFD.2022.3.1.27-42

Oyeboade, J., & Olagoke-Komolafe, O. (2023). Implementing innovative data-driven solutions for sustainable agricultural development and productivity. International Journal of Multidisciplinary Futuristic Development, 4(1), 24-31.

Oyeboade, J., & Olagoke-Komolafe, O. (2023). Spatial and seasonal variations in water quality parameters in anthropogenically impacted river systems. International Journal of Multidisciplinary Evolutionary Research, 4(1), 72-83. DOI: https://doi.org/10.54660/IJMER.2023.4.1.72-83

Oyeboade, J., & Olagoke-Komolafe, O. (2024). AI in Agriculture: A Comparative Review of Developments in the USA and Africa. International Journal of Advanced Multidisciplinary Research and Studies, 4(4), 1365-1372. DOI: https://doi.org/10.62225/2583049X.2024.4.4.4852

Oyeboade, J., & Olagoke-Komolafe, O. (2024). Vertical farming and urban agriculture: A comprehensive review: Analyzing the feasibility, benefits, and challenges of scaling up urban-based agricultural practices. International Journal of Multidisciplinary Futuristic Development, 5(1), 65-77. DOI: https://doi.org/10.54660/IJMFD.2024.5.1.65-77

Sagay, I., Akomolafe, O. O., Taiwo, A. E., Bolarinwa, T., & Oparah, S. (2024). Harnessing AI for Early Detection of Age-Related Diseases: A Review of Health Data Analytics Approaches. Geriatric Medicine and AI, 7(2), 145-162. DOI: https://doi.org/10.54660/IJFEI.2024.1.1.153-159

Sagay, I., Taiwo, A. E., Bolarinwa, T., Akomolafe, O. O., & Oparah, S. (2022). Enhancing Diagnostic Accuracy and Treatment Planning through Advanced Image Analysis. DOI: https://doi.org/10.54660/.IJMRGE.2022.3.3.692-698

Sakyi, J. K., Ibrahim, A. K., Okafor, C. M., Wedraogo, L., Essandoh, S., Babalola, A. S., & Adenuga, M. A. (2024). Analysis of Ethical Decision-Making Processes in Multinational Corporations. DOI: https://doi.org/10.54660/GMPJ.2024.1.6.37-50

Soneye, O. M., Tafirenyika, S., Moyo, T. M., Eboseremen, B. O., Akindemowo, A. O., Erigha, E. D., ... & Essien, I. A. (2025). Federated learning in healthcare data analytics: A privacypreserving approach. World Journal of Innovation and Modern Technology, 9(6), 372-400.

Tafirenyika, S. (2023). AI in healthcare: Predictive modeling, explainability, and clinical impact. World J Adv Res Rev.

Tafirenyika, S., Moyo, T. M., Tuboalabo, A., Taiwo, A. E., Bukhari, T. T., Ajayi, A. E., ... & Afrihyia, E. (2023). Developing AI-driven business intelligence tools for enhancing strategic decision-making in public health agencies. Int J Multidiscip Futur Dev. DOI: https://doi.org/10.54660/IJMFD.2023.4.1.58-68

Taiwo, A. E., Akomolafe, O. O., Oparah, S., Sagay, I., & Bolarinwa, T. (2024). Novel Therapeutic Strategies for Targeting Lipid Droplets in Cancer. DOI: https://doi.org/10.54660/.IJMRGE.2024.5.2.1115-1120

Taiwo, A. E., Bolarinwa, T., Oparah, S., Sagay, I., & Akomolafe, O. O. (2024). Innovative Approaches to Targeting Glycolysis in Cancer: Addressing the Warburg Effect. DOI: https://doi.org/10.54660/.IJMRGE.2024.5.2.1121-1126

Ussher-Eke, D., Okoh, O. F., & Ijiga, O. M. The Role of Biometric and IoT-Based Attendance Systems in Streamlining HR Administrative Functions, Enhancing Workforce Accountability, and Reducing Labor Inefficiencies.

Wedraogo, L., Essandoh, S., Sakyi, J. K., Ibrahim, A. K., Okafor, C. M., Ogunwale, O., ... & Adenuga, M. A. (2023). Analyzing Risk Management Practices in International Business Expansion. DOI: https://doi.org/10.54660/.JFMR.2023.4.2.300-313

Wedraogo, L., Essandoh, S., Sakyi, J. K., Ibrahim, A. K., Okafor, C. M., Babalola, A. S., & Adenuga, M. A. (2025). Analysis of Vendor Management Practices and Their Effects on Supply Chain Performance. DOI: https://doi.org/10.54660/IJMFD.2025.6.1.42-54

Yeboah, B. K., & Ike, P. N. (2023). Conceptual program for workforce training and leadership development in reliability engineering. International Journal of Advanced Multidisciplinary Research Studies, 3(1), 1641-1650. DOI: https://doi.org/10.62225/2583049X.2023.3.1.5211

Yeboah, B. K., Enow, O. F., Ike, P. N., & Nnabueze, S. B. (2024). Program Design for Advanced Preventive Maintenance in Renewable Energy Systems. DOI: https://doi.org/10.32628/SHISRRJ2472156

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22-08-2025

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[1]
Chinyere Peace Isiekwu, “A Social Marketing Framework for Reducing Public Resistance to New Policy Interventions”, Int. J. Sci. Res. Comput. Sci. Eng. Inf. Technol, vol. 11, no. 4, pp. 602–624, Aug. 2025, doi: 10.32628/CSEIT251116278.