The following chapter provides a literary overview of the evaluation models aimed at the assessment of futures practices. First of all, the Foresight Maturity Model of Grim (2009) and Rohrbeck’s Maturity Model of Corporate Foresight (2010) are taken into account, considering their potentiality to measure future capabilities of private companies. Moreover, a general summary of the Social Futuring Index, based on Szántó et al. (2019) is presented. These models have provided a theoretical basis and a starting point for the formulation of a new evaluation system, named Future Orienteering Evaluation Model. The chapter offers an introduction to this new measurement model, based on the Theory of Anticipation presented in Poli (2017, 2019a, 2019b), and therefore builds on the distinction between Forecasting, Foresight and Anticipation. The result of the application of the Future Orienteering evaluation system is a battery of three indexes, designed to offer an immediately understandable and easily comparable view of future skills of individuals, communities and organizations.
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Bartha Zoltán, Gordon Theodore J., Jutkiewicz Piotr, Kladivo Petr, Klinec Ivan, Kołos Norbert, Nováček Pavel, Tóthné Klára Szita (2015). State of the Future Index – Visegrad Group Countries (V4 SOFI). Warsaw: Polish Society for Futures Studies.
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Fasoli, G., & Poli, R. (2023). Future Orienteering Evaluation Model: Forecasting, Foresight and Anticipation Indexes. Submitted.
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Grim, T. (2009). Foresight Maturity Model (FMM): Achieving best practices in the foresight field. Journal of Futures Studies, 13(4), 69–80.
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Poli, R. (2017). Introduction to Anticipation Studies. Dordrecht: Springer.
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Poli, R. (2019a). Handbook of Anticipation. Dordrecht: Springer.
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Poli, R. (2019b). Lavorare con il futuro. Idee e strumenti per governare l’incertezza. Milano: Egea.
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Rohrbeck, R. (2010). Corporate Foresight: Towards a Maturity Model for the Future Orientation of a Firm. Heidelberg: Springer Science & Business Media.
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Rohrbeck, R., & Kum, M.E. (2018). Corporate foresight and its impact on firm performance: A longitudinal analysis. Technological Forecasting and Social Change, 129, 105–16.
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Seligman, M.E.P., Railton, P., Baumeister, R.F., & Sripada, C. (2013). Navigating into the future or driven by the past. Perspectives on Psychological Science, 8(2), 119–41. https://doi.org/10.1177/1745691612474317.
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Szántó, Z., Aczél, P.K., Csák, J., & Ball, C. (2019). Foundations of the Social Futuring Index. Információs Társadalom: Társadalomtudományi Folyóirat, 19(4), 115–32.
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Szántó, Z.O., Aczél, P., Csák, J., Szabadhegy, P., Morgado, N., Deli, E., & Bóday, P. (2020). Social Futuring Index. Concept, Methodology and Full Report 2020, Corvinus University of Budapest.
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Tuomi, I. (2019). Chronotopes of foresight: Models of time-space in probabilistic, possibilistic and constructivist futures. Futures & Foresight Science, 1(2), e11.
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