Web Profile

Spyros Makridakis

Emeritus Professor of Decision Sciences

Distinguished Research Professor

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+30 6977661144


Following the attainment of a place in the Greek Sailing Team in the Olympics of 1960, Spyros Makridakis set sail for New York University where he obtained a PhD in 1969. Since then he has advised numerous international organizations and government agencies and consulted worldwide. Professor Makridakis has held teaching and research positions with several European and American institutions; as a research fellow with IIM Berlin, an ICAME fellow at Stanford University and a visiting scholar at MIT and Harvard. He is now a Research Professor at INSEAD that he joined in 1970.

In addition to teaching and consulting expertise, he has also authored, or co-authored, twenty books including Forecasting, Planning and Strategy for the 21st Century (The Free Press, Forecasting: Methods and Applications (Wiley, now in its 3rd Edition, and Forecasting Methods for Management (Wiley), which reached its 5th edition and sold more than 120,000 copies in twelve languages. He has also published more than 120 articles and book chapters. His paper "The Accuracy of Extrapolative (Time Series) Methods: Results of a Forecasting Competition", was voted as the best paper published in the field of forecasting during the last 25 years. In addition Spyros was the founding chief editor of the Journal of Forecasting and the International Journal of Forecasting. He has won twice the 'Best Teacher Award' at INSEAD.

Professor Makridakis' current interests center around how future technologies, and in particular the Internet, will affect business firms (and societies in general) and what kind of organizations and strategies will be required in order to anticipate, and exploit, emerging opportunities while steering clear of the dangers associated with such technologies.

Research Areas

Forecasting and the implications when accurate predictions are not possible; The Impact of Future Trends and Changes on Business Firms and their Strategies.


Applied Statistics ; Forecasting Business Trends and their Implications.


Information Technology

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