Lydia Badu Danquah | Business, Management and Accounting | Academic Leadership Research Award

Ms. Lydia Badu Danquah | Business, Management and Accounting | Academic Leadership Research Award 

Student | Carolina University | United States

 Ms. Lydia Badu Danquah demonstrates strong suitability for an Academic Leadership Research Award based on her advanced academic training, research productivity, and leadership-driven professional background. As a current PhD candidate in Organizational Management at Carolina University, supported by two MBA degrees including an award-winning MBA in Finance from Central University and a BA in Political Science and Psychology, she brings a robust interdisciplinary foundation to her scholarly work. Her research focuses on high-impact, contemporary organizational issues such as the role of artificial intelligence in decision-making within SMEs, leadership adaptability in post-pandemic strategic agility and digital transformation, and ESG practices across emerging and developed markets, with each study published in reputable journals and contributing to discourse on innovation, governance, and sustainability. Lydia’s academic trajectory is complemented by administrative leadership experience at Carolina University, where she supported student performance assessment, retention initiatives, and program coordination, demonstrating her commitment to academic quality and institutional development. Prior roles in compliance, risk management, and customer experience within Ghana’s financial sector further strengthened her decision-making, analytical, and policy-driven competencies, enabling her to translate practical organizational insights into research relevance. Her ability to establish regulatory partnerships, execute compliance audits, and provide leadership consultation reflects a mature understanding of organizational systems and leadership dynamics. Additionally, her documented contribution to reducing financial losses for her company highlights her capacity for impactful problem-solving. With strong skills in communication, report writing, multitasking, leadership, and cyber-security awareness, she presents a well-rounded profile that aligns with the expectations of an academic leadership-focused award. Overall, Lydia’s blend of scholarly accomplishments, professional leadership experience, and ongoing contributions to research and academic service positions her as a compelling candidate for recognition in academic leadership.

Featured Publications

Badu Danquah, L. (2024). The role of artificial intelligence in enhancing decision-making in Ghanaian small and medium enterprises (SMEs). Business and Management Horizons, 13(1), 44–56.

Badu Danquah, L. (2024). Assessing the influence of leadership adaptability in the post-pandemic era on strategic agility and digital transformation: The moderating role of technological readiness in Ghana. Business and Management Horizons, 13(1), 177–190.

Badu Danquah, L. (2024). Nexus between ESG practices and corporate performance: The moderating role of the regulatory environment in emerging and developed markets. Environmental Management and Sustainable Development, 15(1), 1–15.

 

Ms. Danquah’s research advances organizational leadership by addressing digital transformation, AI-driven decision-making, and sustainability practices in emerging economies, offering evidence-based insights that strengthen institutional resilience and innovation. Her work contributes to both academic scholarship and industry practice by guiding leaders toward more adaptive, ethical, and technologically ready organizations. Through her vision, she supports global efforts to build more agile, accountable, and future-focused institutions.

Shayesteh Tabatabaei | Organizational | Best Researcher Award

Assoc Prof Dr. Shayesteh Tabatabaei, Individual Differences, Best Researcher Award

Associate Professor at Higher education complex of Saravan, Iran

Summary:

Dr. Shayesteh Tabatabaei is an accomplished academic and researcher specializing in computer engineering. She earned her Ph.D. from Tehran Science and Research University, where she focused on developing intelligent routing protocols for mobile ad-hoc networks. With a solid foundation in wireless sensor networks, IoT, and optimization algorithms, Dr. Tabatabaei has made significant contributions to her field. She has been recognized multiple times as a top researcher and is dedicated to advancing knowledge through both teaching and research. Dr. Tabatabaei’s expertise extends to programming and simulation tools, enhancing her research and instructional capabilities.

Professional Profile:

👩‍🎓Education:

Ph.D. in Computer Engineering, Tehran Science and Research University, Tehran, Iran (2010-2015)

  • Dissertation: “Present New Intelligent Routing Protocol for Mobile Ad-Hoc Network”
  • Supervisor: Dr. M. Teshnehlab
  • GPA: 18.63/20.00

M.Sc. in Computer Engineering, Islamic Azad University of Shabestar, Shabestar, Iran (2007-2009)

  • Thesis: “Improving the AODV Routing Protocol Using Reinforcement Learning”
  • Supervisor: Dr. MA. Jabraeil Jamali
  • GPA: 18.69/20.00

B.Sc. in Computer Engineering, Islamic Azad University of Shabestar, Shabestar, Iran (2002-2006)

  • GPA: 17.12/20.00

Professional Experience:

Dr. Shayesteh Tabatabaei is an Associate Professor with a robust academic and teaching background in computer engineering. She has extensive experience teaching at the undergraduate and graduate levels, covering courses such as Advanced Database Systems, Distributed Systems, Parallel Algorithms, and Fuzzy Logic for M.Sc. students, and Intelligent Artificial Systems, C and C++ Programming, Operating Systems, Database Systems, Computer Networks, and HTML for B.Sc. students. Her teaching career spans several institutions, including the Higher Educational Complex of Saravan, Sistan Baluchestan University, and various branches of Islamic Azad University (Bonab, Malekan, Miyandoab, Miyaneh, Zahedan).

Dr. Tabatabaei has also organized numerous training workshops focusing on wireless networks, IoT, and ISI article writing, demonstrating her commitment to continuous learning and professional development.

Research Interest:

  • Wireless Sensor Networks
  • Mobile Ad-Hoc Networks
  • Internet of Things (IoT)
  • Routing Protocols
  • Intelligent Algorithms
  • Optimization Algorithms
  • Intelligent Systems

Publications Top Noted: