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.

Mrs. Safiya Alshibani | Family Business Succession | Women Researcher Award

Princess Nourah Bint Abdul Rahman University | Saudi Arabia

Safiya Mukhtar Alshibani is an accomplished entrepreneurship scholar and academic leader with extensive expertise in strategic management, innovation, and entrepreneurial well-being. She holds a PhD in Entrepreneurship from the University of Western Australia, an MSc in Strategic Management and Innovation from the Dublin Institute of Technology, and additional qualifications in new venture creation and human resource management. With significant experience as Vice Dean of Educational Affairs and Assistant Professor, she has led major academic programs, international collaborations, and curriculum development initiatives across higher education. Dr. Alshibani has also served as a consultant for national institutions, contributing to entrepreneurship education, digital transformation, eLearning quality, and large-scale data initiatives. Her research focuses on entrepreneurial well-being, sustainable entrepreneurship, innovation, family business succession, digital transformation, AI adoption, and women’s entrepreneurship, with numerous publications in high-impact journals and international conferences. She has secured several competitive research grants and contributed to global projects such as GUESSS. Recognized for her contributions, she received the Best Entrepreneurial Pedagogy Research Paper Award (2025) and the Outstanding Leadership in Education Award (2024). Dr. Alshibani continues to advance entrepreneurial research and education through her scholarly work, leadership roles, and commitment to empowering future innovators.

Featured Publications

Shaik, A. S., Alshibani, S. M., Jain, G., Gupta, B., & Mehrotra, A. (2024). Artificial intelligence (AI)-driven strategic business model innovations in small- and medium-sized enterprises: Insights on technological and strategic enablers for carbon … Business Strategy and the Environment, 33(4), 2731–2751.

Kautish, P., Siddiqui, M., Siddiqui, A., Sharma, V., & Alshibani, S. M. (2023). Technology-enabled cure and care: An application of innovation resistance theory to telemedicine apps in an emerging market context. Technological Forecasting & Social Change.

Al Halbusi, H., Popa, S., Alshibani, S. M., & Soto-Acosta, P. (2024). Greening the future: Analyzing green entrepreneurial orientation, green knowledge management and digital transformation for sustainable innovation and circular economy. European Journal of Innovation Management.

Shaik, A. S., Alshibani, S. M., Mishra, S., Papa, A., & Cuomo, M. T. (2023). Does learning from innovation failure enhance innovation performance? A quantitative investigation of small businesses. Technovation, 127, 102818.

Broccardo, L., Vola, P., Zicari, A., & Alshibani, S. M. (2023). Contingency-based analysis of the drivers and obstacles to a successful sustainable business model: Seeking the uncaptured value. Technological Forecasting & Social Change.