Kesten C. Green

Professional Summary: Professor Kesten C. Green

Professor Kesten C. Green is a distinguished academic at the University of South Australia, recognized for his expertise in forecasting, decision-making, and business strategy. With a career spanning multiple institutions and contributions to both research and applied methodologies, he has made significant impacts in the fields of management science and policy analysis.

Academic Background and Degrees

Professor Green holds advanced degrees in management and related fields, equipping him with a strong foundation for his research and teaching career. Specific details of his educational qualifications include:

• PhD in Management Science, Victoria University of Wellington, New Zealand
• Master of Management Studies, University of Waikato, New Zealand
• Bachelor of Science, University of Waikato, New Zealand

Research Specializations and Academic Interests

Professor Green’s research primarily focuses on forecasting methods, decision-making processes, and the application of scientific principles to business and policy challenges. His work emphasizes evidence-based approaches to improve accuracy in predictions across various domains, including business, economics, and public policy. Key areas of interest include:

• Forecasting principles and methodologies
• Decision-making under uncertainty
• Conflict forecasting and game theory
• Business and policy strategy

Career History and Appointments

Professor Green has held several academic and research positions at prestigious institutions, contributing to both teaching and the advancement of knowledge in his field. His career trajectory includes:

• Senior Lecturer, University of South Australia Business School, Adelaide, Australia (current position)
• Research Fellow, Ehrenberg-Bass Institute for Marketing Science, University of South Australia
• Visiting Researcher and Lecturer at various international institutions, including roles in New Zealand and the United States

Major Awards, Fellowships, and Honors

While specific awards and honors are not extensively documented in public sources, Professor Green’s contributions to forecasting and management science have been widely recognized through citations and collaborations with leading researchers in his field.

Key Publications

Professor Green has authored and co-authored numerous influential papers and articles on forecasting and decision-making. Some of his notable publications include:

• Principles of Forecasting: A Handbook for Researchers and Practitioners (2001, co-edited with J. Scott Armstrong)
• 'Game Theory, Simulated Interaction, and Unaided Judgement for Forecasting Decisions in Conflicts' (2007, with J. Scott Armstrong, Journal of Conflict Resolution)
• 'Simple Versus Complex Forecasting: The Evidence' (2015, with J. Scott Armstrong, Journal of Business Research)
• 'Forecasting Methods and Principles: Evidence-Based Checklists' (2018, with J. Scott Armstrong, Journal of Global Scholars of Marketing Science)

Influence and Impact on Academic Field

Professor Green has significantly influenced the field of forecasting by advocating for structured, evidence-based methods over intuitive or overly complex models. His collaborative work on forecasting principles has been widely adopted by researchers and practitioners, contributing to more reliable predictions in business and policy contexts. He is also known for his development of tools like the Forecasting Audit and evidence-based checklists, which have practical applications in improving decision-making processes.

Public Lectures, Committees, and Editorial Contributions

Professor Green has been actively involved in disseminating his research through public lectures, workshops, and professional engagements. He has also contributed to the academic community through editorial roles and committee memberships, including:

• Co-founder of the Public Policy Forecasting initiative and related online resources
• Editorial board member and reviewer for journals in forecasting and management science
• Presenter at international conferences on forecasting and decision-making