Asst. Prof. Dr. Paula Abola

Chair, Editorial Board

Asst. Prof. Dr. Paula Abola

Asst. Prof. Dr. Paula Abola is a researcher and educator specializing in higher education, clinical research, and research methodology. She holds a PhD in Clinical Research from the University of Jamestown with a focus on Parkinson’s Disease, graduating summa cum laude. Her scholarly work centers on knowledge disparities, shared decision-making, and evidence-based approaches in clinical and educational research. She is currently also pursuing a Doctor of Education.

Dr. Abola currently serves as Assistant Professor, Associate Dean for Academic & Student Affairs, and Director of DBA Studies at European International University (EIU-Paris), where she oversees academic quality across undergraduate, graduate, and doctoral business programs. Her responsibilities include curriculum oversight, doctoral supervision, research proposal review, supervisor assignment, academic governance, and the design of value-added scholarly activities. She plays a central role in ensuring academic rigor, student progression, and alignment with institutional and accreditation standards.

In addition to her leadership roles, Dr. Abola has extensive teaching experience as an Adjunct Professor at multiple international universities, delivering courses in research methodology, evidence synthesis, survey design, statistics, ethics, and interdisciplinary perspectives in business. She has supervised graduate and doctoral research across clinical, behavioral, and business research domains and is actively engaged in scholarly publishing and international conference presentations.

Dr. Guo Qiang Tan

Senior Editor

Dr. Guo Qiang Tan

Dr. Guo Qiang Tan is a multi-disciplinary scholar, educator, and practitioner whose work spans public policy, organizational psychology, leadership development, and adult learning. He holds four doctoral degrees: a Doctor of Philosophy in Public Policy (Dunster Business School), Doctor of Psychology (European International University), Professional Doctorate in Education (European International University), and Doctor of Business Administration (Golden Gate University), reflecting a deep commitment to rigorous, practice-informed scholarship and lifelong learning.

Dr. Tan serves as Assistant Professor (Cond) at the European International University, Professor of Practice at Golden Gate University, and Adjunct Faculty across multiple Singapore institutions, including Nanyang Polytechnic, Singapore Polytechnic, Singapore Institute of Management, and Kaplan Higher Education Academy. His teaching portfolio includes modules in organizational behavior, leadership, consulting skills, workplace learning, human resource management, and adult education. He has taught courses such as Dynamics of Leadership and Organizational Behavior, Leading Complex Change, Organizational Behavior and Development, and Consulting Skills, demonstrating both breadth and depth in his pedagogical practice.

As a researcher, Dr. Tan has developed a strong publication record across peer-reviewed journals in leadership, technology-enhanced learning, workforce development, and psychological safety. His works include studies such as Transformational Leadership and Employee Performance in Singaporean SMEs, Online Learning Dexterity: A Multidimensional Model Predicting Academic Performance, and A Structured Equation Model Predicts Para-Counsellors’ Counselling Self-Efficacy. His emerging research explores AI adoption, doctoral student well-being, and policy feedback mechanisms. He is methodologically versatile, with expertise in SPSS, G*Power, and PLS-SEM, and has authored comparative methodological analyses to support doctoral researchers.

Dr. Tan is an active contributor to the global academic community. He has presented at major international conferences, including the European Conference on Education (ECE2025), Applied Learning Conference 2025, and the International Conference on Multidisciplinary Innovation in Science, Technology, and Business. His presentations have addressed topics such as online learning acceptance, post-pandemic digital pedagogy, and the well-being of doctoral students through the lens of the Job Demands-Resources model.

Prof. Dr. Alisher Toshpulotov

Associate Editor

Prof. Dr. Alisher Toshpulotov

Prof. Dr. Alisher Toshpulotov is an economist, researcher, and educator specializing in macroeconomics, state-owned enterprises, and economic modernization in developing nations. He holds a PhD in Business & Economics from European International University (EIU-Paris), where his doctoral research focused on the strategic management and innovative modernization of state-owned enterprises in the Republic of Tajikistan. Alongside his core expertise in economics, Dr. Toshpulotov is deeply committed to educational advancement, holding a Master of Education (M.Ed.) from the University of the People (USA) and a Master of Science in Economics with Honors. His scholarly inquiries center on the digital economy, corporate governance, financial management in public administration, and the dynamics of labor mobility and digital transformation.

Dr. Toshpulotov currently serves as a Professor in the Department of Business and Management Studies at European International University (EIU-Paris). In this faculty role, he contributes to the institution’s academic environment through advanced instruction, research development, and scholarly engagement in business and economic disciplines.

With an extensive academic track record, Dr. Toshpulotov has authored and co-authored over 70 scientific publications, including peer-reviewed journal articles, high-impact research indexed in Scopus (Q3), and several collective monographs. His high-tier research is widely recognized and fully encompasses papers indexed in the Higher Attestation Commission (VAK) lists (Categories K1 and K2) and the Russian Science Citation Index (RSCI). Beyond higher education, his diverse pedagogical experience includes years of teaching mathematics, physics, and English, making him a versatile educator capable of bridging the gap between quantitative analysis and international communication.

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