Prof. Arshi Naim | Performance Management | Research Excellence Awar

London Institute of Sustainable Development | United Kingdom

Dr. Arshi Naim is a globally recognized academic leader in business management and sustainability, ranked among the top 2% scientists by Elsevier and Stanford University. With more than 23 years of academic, research, and program leadership experience, he has served in senior roles across the UK, Malta, Switzerland, Malaysia, Saudi Arabia, and India. He holds a Ph.D. in Business Management, an MBA in Marketing and HRM, and a BA (Hons.) in Economics. His expertise spans digital business, international business, digital marketing, e-learning innovation, AI applications in management, strategic information systems, sustainability, consumer behavior, and quality assurance. Dr. Naim has taught and supervised undergraduate, MBA, and DBA scholars globally and contributed significantly to curriculum development, accreditation, and digital pedagogy. His prolific research record includes over 100 peer-reviewed publications, editorial roles in Q1–Q2 journals, and leadership of funded projects on AI, business intelligence, and educational technologies. He also holds a patent in customer relationship management systems and has received multiple distinctions, including the Quality Matters Seal and recognition for e-learning excellence. Dedicated to advancing sustainable business education and innovation, Dr. Naim continues to contribute to global research, academic leadership, and interdisciplinary development.

Profiles: ORCID | Google Scholar | Scopus

Featured Publications

Khan, N., Naim, A., Hussain, M. R., Naveed, Q. N., Ahmad, N., & Qamar, S. (2019). The 51 V’s of big data: Survey, technologies, characteristics, opportunities, issues and challenges. Proceedings of the International Conference on Omni-layer Intelligent Systems, 113.

Naim, A., & Alahmari, F. (2020). Reference model of e-learning and quality to establish interoperability in higher education systems. International Journal of Emerging Technologies in Learning, 15(2), 15–28.

Naim, A. (2023). Consumer behavior in marketing: Patterns, types, segmentation. European Journal of Economics, Finance and Business Development, 1(1), 1–18.

Naim, A. (2022). Role of artificial intelligence in business risk management. American Journal of Business Management, Economics, and Banking, 55–66.

Kamal, S., Naim, A., Magd, H., Khan, S. A., & Khan, F. M. (2022). The relationship between e-service quality, ease of use, and e-CRM performance referred by brand image. In Building a Brand Image Through Electronic Customer Relationship Management, 57.

Reddy, C. K. K., Anisha, P. R., Khan, S., Hanafiah, M. M., Pamulaparty, L., … Naim, A. (2024). Sustainability in Industry 5.0: Theory and Applications. CRC Press.

Alahmari, F., Naim, A., & Alqahtani, H. (2023). E-learning modeling technique and convolution neural networks in online education. In IoT-enabled Convolutional Neural Networks: Techniques and Applications (pp. 261–295).

Naim, A., Hussain, M. R., Naveed, Q. N., Ahmad, N., Qamar, S., Khan, N., & Hweij, T. A. (2019). Ensuring interoperability of e-learning and quality development in education. 2019 IEEE Jordan International Joint Conference on Electrical Engineering and Information Technology, 54.

Naim, A., Alahmari, F., & Rahim, A. (n.d.). Role of artificial intelligence in market development and vehicular communication.

Dr. Amon Exavery | Longitudinal impact evaluation methods for non-experimental interventions | Best Researcher Award

Pact Tanzania

Dr. Amon Exavery is a distinguished statistician and public health researcher with over 15 years of professional experience in research, evaluation, and learning. He holds a Ph.D. in Statistics from the University of Dodoma, an MSc in Population-based Field Epidemiology from the University of the Witwatersrand, South Africa, and a BA in Statistics from the University of Dar es Salaam. Currently serving as the Senior Research and Learning Advisor at Pact Tanzania, he has led large-scale health and social service research projects, including the ACHIEVE and Kizazi Kipya programs—the largest OVC initiatives in Africa. His expertise spans quantitative and qualitative methodologies, impact evaluation, statistical modeling, and capacity building for data-driven decision-making. Dr. Exavery’s research interests include HIV/AIDS, OVC programming, WASH, malaria, nutrition, family planning, gender inclusion, reproductive and child health, and sustainable livelihoods. He has authored over 40 peer-reviewed publications and presented at numerous international conferences. His analytical leadership has influenced public health strategies and policies across sub-Saharan Africa. Dr. Exavery has also provided consultancy services to WHO, Columbia University, NAS, and other institutions, reflecting his global contribution to evidence-based health programming. His career exemplifies excellence in applying data science to advance public health and social development outcomes.

Profile: ORCID

Featured Publications

Exavery, A., Kirigiti, P. J., Balan, R. T., & Charles, J. (2026, February). Enhancing longitudinal impact evaluation of non-experimental interventions: A comparative analysis of generalized estimating equations and multilevel models based on empirical evaluation of temporal change in food security following an economic empowerment intervention. Evaluation and Program Planning, 107, 102722.

Exavery, A., Kirigiti, P. J., Balan, R. T., & Charles, J. (2025). Determinants of participation in WORTH Yetu economic empowerment intervention among caregivers of orphaned and vulnerable children in Tanzania: A longitudinal multivariable logistic regression analysis. Social Sciences & Humanities Open, 15, 101959.

Exavery, A., Kirigiti, P. J., Balan, R. T., & Charles, J. (2024, August). Longitudinal evaluation of the influence of WORTH Yetu on household economic status based on the count of non-asset resources for orphaned and vulnerable children’s well-being in Tanzania. Child Indicators Research, 17, 10133–10145.

Exavery, A., Katbi, M., Kirigiti, P. J., Balan, R. T., & Charles, J. (2024, April 16). Multivariate mixed-effects ordinal logistic regression models with difference-in-differences estimator of the impact of WORTH Yetu on household hunger and socioeconomic status among OVC caregivers in Tanzania. PLOS ONE, 19(4), e0301578.

Exavery, A., Alam, K., Charles, J., Barankena, A., Bajaria, S., Minja, E., Mulikuza, J., Mbwambo, T., Ally, A., Mseya, R., & others. (2022, February 25). Impact of household economic strengthening intervention on food security among caregivers of orphans and vulnerable children in Tanzania. PLOS ONE, 17(2), e0264315.