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Forecasting and uncertainty in the economic and business world

Citations

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Cited by:

  1. Makridakis, Spyros & Taleb, Nassim, 2009. "Living in a world of low levels of predictability," International Journal of Forecasting, Elsevier, vol. 25(4), pages 840-844, October.
  2. Peter Nielsen & Liping Jiang & Niels Gorm Malý Rytter & Gang Chen, 2014. "An investigation of forecast horizon and observation fit's influence on an econometric rate forecast model in the liner shipping industry," Maritime Policy & Management, Taylor & Francis Journals, vol. 41(7), pages 667-682, December.
  3. Williams, Andy E, 2020. "COVID-19 and The Hidden Cost of Reduced Civil Liberties," SocArXiv scnza, Center for Open Science.
  4. Bonaccorsi, Andrea & Apreda, Riccardo & Fantoni, Gualtiero, 2020. "Expert biases in technology foresight. Why they are a problem and how to mitigate them," Technological Forecasting and Social Change, Elsevier, vol. 151(C).
  5. Efstathios Tapinos & Graham Leask & Mike Brown, 2023. "Perceived environmental turbulence and corporate strategy: The case of the UK recession," Futures & Foresight Science, John Wiley & Sons, vol. 5(3-4), September.
  6. Vögele, Stefan & Hansen, Patrick & Poganietz, Witold-Roger & Prehofer, Sigrid & Weimer-Jehle, Wolfgang, 2017. "Building scenarios for energy consumption of private households in Germany using a multi-level cross-impact balance approach," Energy, Elsevier, vol. 120(C), pages 937-946.
  7. Zhang, Liming & Yao, Xuejiao & Xiao, Yao & Zhang, Yingxin & Cai, Ming, 2024. "Mechanisms and implications of autonomous vehicle market penetration: Insights from a Markov forecasting model," Transport Policy, Elsevier, vol. 156(C), pages 43-61.
  8. López, Ana M., 2016. "El papel de la información económica como generador de conocimiento en el proceso de predicción: comparaciones empíricas del crecimiento del PIB regional /The Role of Economic Information as a Generat," Estudios de Economia Aplicada, Estudios de Economia Aplicada, vol. 34, pages 543-572, Agosto.
  9. Schäfers, A. & Bougioukos, V. & Karamatzanis, G. & Nikolopoulos, K., 2024. "Prediction-led prescription: Optimal Decision-Making in times of turbulence and business performance improvement," Journal of Business Research, Elsevier, vol. 182(C).
  10. Patrice Dion, 2017. "An Alternative to Fixed Transition Probabilities for the Projection of Interprovincial Migration in Canada," Population Research and Policy Review, Springer;Southern Demographic Association (SDA), vol. 36(6), pages 871-901, December.
  11. Herbert Jodlbauer & Manuel Brunner & Nadine Bachmann & Shailesh Tripathi & Matthias Thürer, 2023. "Supply Chain Management: A Structured Narrative Review of Current Challenges and Recommendations for Action," Logistics, MDPI, vol. 7(4), pages 1-19, October.
  12. Violetta Bacon-Gerasymenko & Russell Coff & Rodolphe Durand, 2016. "Taking a Second Look in a Warped Crystal Ball: Explaining the Accuracy of Revised Forecasts," Journal of Management Studies, Wiley Blackwell, vol. 53(8), pages 1292-1319, December.
  13. Glette-Iversen, Ingrid & Aven, Terje, 2021. "On the meaning of and relationship between dragon-kings, black swans and related concepts," Reliability Engineering and System Safety, Elsevier, vol. 211(C).
  14. Zou, Siqi & Long, Yang, 2025. "The nonlinear impact of economic policy uncertainty on corporate green total factor productivity," Finance Research Letters, Elsevier, vol. 77(C).
  15. Love, Peter E.D. & Sing, Michael C.P. & Ika, Lavagnon A. & Newton, Sidney, 2019. "The cost performance of transportation projects: The fallacy of the Planning Fallacy account," Transportation Research Part A: Policy and Practice, Elsevier, vol. 122(C), pages 1-20.
  16. Bakanauskienė Irena & Baronienė Laura, 2017. "Theoretical Background for the Decision-Making Process Modelling under Controlled Intervention Conditions," Management of Organizations: Systematic Research, Sciendo, vol. 78(1), pages 7-19, December.
  17. Katsikopoulos, Konstantinos V. & Durbach, Ian N. & Stewart, Theodor J., 2018. "When should we use simple decision models? A synthesis of various research strands," Omega, Elsevier, vol. 81(C), pages 17-25.
  18. Steven H. Seggie & Emre Soyer & Koen H. Pauwels, 2017. "Combining big data and lean startup methods for business model evolution," AMS Review, Springer;Academy of Marketing Science, vol. 7(3), pages 154-169, December.
  19. Anca-Gabriela Turtureanu & Rodica Pripoaie & Carmen-Mihaela Cretu & Carmen-Gabriela Sirbu & Emanuel Ştefan Marinescu & Laurentiu-Gabriel Talaghir & Florentina Chițu, 2022. "A Projection Approach of Tourist Circulation under Conditions of Uncertainty," Sustainability, MDPI, vol. 14(4), pages 1-21, February.
  20. Knüppel, Malte, 2014. "Efficient estimation of forecast uncertainty based on recent forecast errors," International Journal of Forecasting, Elsevier, vol. 30(2), pages 257-267.
  21. Mihail Yanchev, 2022. "Deep Growth-at-Risk Model: Nowcasting the 2020 Pandemic Lockdown Recession in Small Open Economies," Economic Studies journal, Bulgarian Academy of Sciences - Economic Research Institute, issue 7, pages 20-41.
  22. Makridakis, Spyros & Spiliotis, Evangelos & Assimakopoulos, Vassilios, 2020. "The M4 Competition: 100,000 time series and 61 forecasting methods," International Journal of Forecasting, Elsevier, vol. 36(1), pages 54-74.
  23. Güngör, Bekir Oray & Ertuğrul, H. Murat & Soytaş, Uğur, 2021. "Impact of Covid-19 outbreak on Turkish gasoline consumption," Technological Forecasting and Social Change, Elsevier, vol. 166(C).
  24. Savio, Nicolas D. & Nikolopoulos, Konstantinos, 2013. "A strategic forecasting framework for governmental decision-making and planning," International Journal of Forecasting, Elsevier, vol. 29(2), pages 311-321.
  25. Petropoulos, Fotios & Goodwin, Paul & Fildes, Robert, 2017. "Using a rolling training approach to improve judgmental extrapolations elicited from forecasters with technical knowledge," International Journal of Forecasting, Elsevier, vol. 33(1), pages 314-324.
  26. Roberts, James P. & Middleton, Andrew, 2014. "Evolving products: From human design to self-organisation via Science Fiction Prototyping," Technological Forecasting and Social Change, Elsevier, vol. 84(C), pages 15-28.
  27. Harald de Bruijn & Andreas Größler & Nuno Videira, 2020. "Antifragility as a design criterion for modelling dynamic systems," Systems Research and Behavioral Science, Wiley Blackwell, vol. 37(1), pages 23-37, January.
  28. Baranowski Paweł & Korczak Karol & Zając Jarosław, 2020. "Forecasting Cinema Attendance at the Movie Show Level: Evidence from Poland," Business Systems Research, Sciendo, vol. 11(1), pages 73-88, March.
  29. Martin Magris & Mostafa Shabani & Alexandros Iosifidis, 2022. "Bayesian Bilinear Neural Network for Predicting the Mid-price Dynamics in Limit-Order Book Markets," Papers 2203.03613, arXiv.org, revised Jan 2023.
  30. T. Alexander Puutio, 2025. "The Breadth Premium: Measuring the Firm-level Impact of CEO Career Breadth," Papers 2511.05515, arXiv.org.
  31. Peralta, Alberto & Young, Susan L., 2025. "Decoding regulatory institutions: The stability-flexibility perceptions model for entrepreneurs and regulators," Journal of Business Venturing Insights, Elsevier, vol. 23(C).
  32. Radulescu, Magdalena & Rao, Amar & Doğan, Buhari & Abbas, Shujaat, 2024. "Co-movement between COVID-19, oil price and American stock market during 2020: Fresh investigation from partial and multiple wavelet methods," Resources Policy, Elsevier, vol. 95(C).
  33. Julia P. Prims & Don A. Moore, 2017. "Overconfidence over the lifespan," Judgment and Decision Making, Society for Judgment and Decision Making, vol. 12(1), pages 29-41, January.
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