Dr Avik Mukherjee
BSc, MBA, PhD
Management School
Lecturer in Finance and Financial Management
+44 114 222 3494
Full contact details
Management School
Room B054
葫芦影业 University Management School
Conduit Road
葫芦影业
S10 1FL
- Profile
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My academic journey evolves more than 20 years of teaching experience specialising in finance across the globe. My areas of expertise include financial management, corporate finance, investment analysis, international finance, and financial modelling. My undergraduate education (BSc in Economics & Statistics) laid a solid foundation in economic theory, quantitative analysis, and critical thinking. Motivated by my passion for finance, I pursued an MBA in Finance, that culminated in a PhD in Finance, where my doctoral research focused on the intricate and challenging relationships between CSR initiatives and financial performance in emerging markets.
My teaching philosophy is rooted in the belief that education should be an engaging and transformative experience. My teaching style is dynamic and interactive and incorporates real-world case studies, simulations, and the latest market data. By bridging the gap between theoretical concepts and practical applications, I ensure that my students develop a comprehensive understanding of finance and its implications in the global economy.
My research interests in Corporate Social Responsibility (CSR), emerging markets, business groups, and Artificial Intelligence (AI) reflect a holistic approach to addressing contemporary issues in finance and economics. Through rigorous analysis and innovative thinking, I strive to contribute valuable knowledge that can inform practice, shape policy, and drive positive change in the global financial landscape. By exploring these diverse areas, my work seeks to enhance our understanding of the complex interplay between economic forces and societal well-being, ultimately contributing to a more sustainable and equitable world.
- Qualifications
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- PhD - University of 葫芦影业
- MBA (Finance) - Krea University, India
- BSc (Hons.) Economics - University of Calcutta, India
- Research interests
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My research focuses on the intersection of Corporate Social Responsibility (CSR) and business groups within emerging markets, examining how CSR initiatives influence the financial performance and sustainability of conglomerates operating in these dynamic environments. I am particularly interested in the adoption of Artificial Intelligence (AI) and its impact on strategic risk management practices. This includes exploring how AI technologies can enhance decision-making processes, mitigate potential risks, and drive innovation in business operations. Additionally, my research investigates the role of regulatory frameworks and corporate governance in shaping ethical business practices and ensuring compliance. By integrating these diverse yet interconnected areas, my goal is to provide a comprehensive understanding of how businesses can leverage CSR and technological advancements to achieve sustainable growth and competitive advantage in emerging markets.
- Publications
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Journal articles
- Impact of adopting mandatory CSR regulations in India on total CSR spending (2002-2019): utilising a regime-switching threshold regression analysis. International Company and Commercial Law Review, 33(3), 194-209.
- Motivation for Occupational Fraud: An Analysis of the 鈥淔raud Triangle鈥 Using Economic Logic. The International Journal of Interdisciplinary Organisational Studies, 7(1), 47-59.
- Training need in IT Sector-Focussing on IBM, TCS and CTS. Globsyn Management Journal, 4(1/2), 103-108.
Chapters
- , Economic Behavior, Game Theory, and Technology in Emerging Markets (pp. 46-56). IGI Global
- Impact of adopting mandatory CSR regulations in India on total CSR spending (2002-2019): utilising a regime-switching threshold regression analysis. International Company and Commercial Law Review, 33(3), 194-209.
- Teaching interests
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Teaching finance is beyond handling numbers but involves understanding the economic forces that shape our world and informed decision- making that affect our future. I aim to ignite curiosity and foster a love for learning by connecting financial theories with real-world scenarios. My teaching style is interactive and student-centered, designed to cater to diverse learning preferences. I use a mix of lectures, group discussions, case studies, and hands-on projects to make complex financial concepts accessible and relevant. By incorporating current events and practical examples, I strive to bring the material to life and emphasize its importance in decision-making. I encourage active participation in my classroom, prompting students to think critically and collaborate on problem-solving. Projects simulating real financial challenges help students apply theoretical knowledge in practical settings, enhancing their understanding and preparing them for their future careers. I am committed to fostering a supportive and inclusive learning environment. Regular feedback, open communication, and one-on-one consultations ensure that each student receives the guidance they need to succeed.
- Teaching activities
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Module leader
- MGT143 - Foundations in Financial Management (Autumn Semester)
- MGT230 - Introduction to Corporate Finance and Asset Pricing (Spring Semester)
Other teaching activities
- MGT6248 - Portfolio Management and Investments (Spring Semester)
- MGT6117 - International Finance (Spring Semester)
- MGT6235 - Internationalisation Challenge (Spring Semester)
- PhD Supervision
I am keen to guide research in several interconnected areas:
- Corporate Social Responsibility (CSR): Investigating the impact of CSR initiatives on company performance, stakeholder engagement, and long-term sustainability.
- Business Groups: Exploring the strategies, governance, and performance of business groups, with a special focus on their role and influence in emerging markets.
- Emerging Markets: Analyzing the unique opportunities and challenges faced by businesses in emerging markets, including economic, social, and regulatory factors.
- Artificial Intelligence (AI) and Machine Learning (ML): Studying the application of AI and ML in business processes, decision-making, and innovation, with attention to ethical considerations and impact on the workforce.
- Risk Management: Examining frameworks and strategies for identifying, assessing, and mitigating risks in various business contexts, particularly in rapidly changing and technologically advanced environments.
I am enthusiastic about supervising research that integrates these areas, providing valuable insights into how businesses can adapt and succeed in a complex, evolving landscape. I look forward to embarking on this educational adventure with you!