Publications

  • Makridakis, S, Polemitis, A. and Giaglis, G. “Implications of Artificial Intelligence (AI) and Blockchain as Drivers of the Fourth Human Revolution”, SciFed Journal of Artificial Intelligence, 2018, 1:2
  • Makridakis, S., Spiliotis, E., Assimakopoulos, V. “The M4 Competition: Results, Findings, Conclusions and Way Forward”, International Journal of Forecasting, Forthcoming. 2018
  • Makridakis, S., and Giaglis, G. “Blockchain and AI Research at the University of Nicosia”, Open Access Government, February 1, 2018, pp 6-8.
  • Makridakis, S., Assimakopoulos, V., Spiliotis, E. “Objectivity, Reproducibility and Replicability in Forecasting Research” International Journal of Forecasting, Forthcoming 2018
  • Makridakis, S., “Forecasting the Impact of Artificial Intelligence (AI): The Potential Effects of AI on Businesses, Manufacturing and Commerce”, Foresight: The International Journal of Applied Forecasting, Spring, 2018, pp 18-27.
  • Makridakis, S., Spiliotis, E., Assimakopoulos, V. “Statistical and Machine Learning forecasting methods: Concerns and ways forward” PLOS ONE, March 27, 2018 https://doi.org/10.1371/journal.pone.0194889
  • Makridakis, S., “Towards the Final Frontier: Integrating Blockchain (BC) and AI, the Drive toward Intelligence Augmentation (IA), the Cloud and SF Inventions”, Foresight: The International Journal of Applied Forecasting, Summer, 2018 Forthcoming.
  • Zamani, E.D. and Giaglis, G.M. (2018) With a little help from the miners: Distributed Ledger Technology and Market Disintermediation, Industrial Management and Data Systems, accepted for publication.
  • Makridakis, S, Polemitis, A., Giaglis, G. and Louca S. “Blockchain: The Next Breakthrough in the Rapid Progress of AI” Robotics & Automation Engineering Journal, 2018, 2; 4.
  • Makridakis, S., “Forecasting the Impact of Artificial Intelligence (AI)”, Foresight: The International Journal of Applied Forecasting, Fall, 2017 pp 6-14 (Lead article).
  • Pournarakis, D.E., Sotiropoulos, D.N., Giaglis, G.M. (2017) A Computational Model for Mining Consumer Perceptions in Social Media, Decision Support Systems, vol. 93, pp. 98-110.
  • Sotiropoulos, D.N., Pournarakis, D.E., Giaglis, G.M. (2017) SVM-based Sentiment Classification: a comparative study against state-of-the-art classifiers, International Journal of Computational Intelligence Studies, vol. 6, no. 1, pp. 52-67.
  • Makridakis, S., “Forecasting the Impact of Artificial Intelligence (AI): Examining Four Scenarios of Possibility”, Foresight: The International Journal of Applied Forecasting, Winter, 2017 pp 7-12.
  • Makridakis, S. et al., “Forecasting, uncertainty and risk; perspectives on clinical decision-making in preventive and curative medicine” International Journal of Forecasting, 2017; doi.org/10.1016/j.ijforecast.2017.11.003
  • Makridakis, S., “The Forthcoming Artificial Intelligence (AI) Revolution: Its Impact on Society and Firms” Futures, 2017; 90, doi.org/10.1016/j.futures.2017.03.006
  • Makridakis, S., “How Accurate and Reliable Are Medical Predictions?” Journal of Research in Medical Sciences, 2016; 21; 91, doi: 10.4103/1735-1995.192499
  • Sotiropoulos, D.N., Bilanakos, C., Giaglis, G.M. (2016) Opinion Formation in Social Networks: a time-variant and non-linear model, Complex and Intelligent Systems, vol. 2, no. 4, pp. 269-284.
  • Makridakis, S. and Bakas, N., “A Survey of Forecasting and Uncertainty”, Risk and Decision Analysis”, March 2016, doi 10.3233/RDA-150114.
  • Makridakis, S. and Moleskis, A., “The costs and benefits of positive illusions”, Frontiers in Psychology, June 2015 doi: 10.3389/fpsyg.2015.00859
  • Georgoula, I., Pournarakis, D., Bilanakos, C., Sotiropoulos, D.N., Giaglis, G.M. (2015) Using Time-Series and Sentiment Analysis to Detect the Determinants of Bitcoin Prices, available at SSRN: https://ssrn.com/abstract=2607167.
  • Zamani, E.D., Kasimati, A.E., Giaglis, G.M. (2015), Public Relations Crisis and Social Media: An Investigation into Extant and Prospective Consumers’ Perceptions through the Lens of Attribution Theory, Journal of Theoretical and Applied Electronic Commerce Research, vol. 10, No. 2, pp. 33-52.
  • Bakas, N., Makridakis, S. and Papadrakakis, M., “Torsional Parameters Importance in the Structural Response of Multiscale Asymmetric-Plan Buildings”, Multiscale and Multiphysics Mechanics, 2014; Vol 1, No. DOI: http://dx.doi.org/10.12989/mmm.2016.1.4.285
  • Drossos D., Kokkinaki F., Giaglis, G.M., Fouskas K., (2014) The Effects of Product Involvement and Impulse Buying on Purchase Intentions in Mobile Text Advertising, Electronic Commerce Research and Applications, vol. 13, No. 6, pp. 423-430.
  • Kourouthanassis, P.E., Giaglis, G.M., Karaiskos, D. and Zamani, E. (2014) Adoption Behavior Differences for Mobile Data Services: m-Internet vs. m-Portals, International Journal of Mobile Communications, 12, 3, pp.207-228.
  • Tsiaousis, A.S. and Giaglis, G.M. (2014) Mobile websites: Usability Evaluation and Design, International Journal of Mobile Communications, vol. 12, No. 1, pp. 29-55.
  • Petropoulos, F., Makridakis, S., Assimakopoulos, V., Nikolopoulos, K., “’Horses for Courses’ in Demand Forecasting”, European Journal of Operational Research, Vol. 237, No 1, 2014, pp 152-163
  • Makridakis, S. and NiNicolantonio, J., “Hypertension: Empirical Evidence and Implications in 2014”, OpenHeart, 2014:1:e000048. doi: 10.1136/openhrt-2014-000048 (This article although published in a medical journal examines the methodological, epistemological and statistical problems in medical studies that are mainly responsible for the refutation of the findings of previous studies by those of new ones).
  • Drossos, D.A, Giaglis, G.M, Vlachos, P.A, Zamani, E.D and Lekakos, G. (2013) Consumer Responses to SMS Advertising: Antecedents and Consequences, International Journal of Electronic Commerce 18, 1, pp.105-136.
  • Zamani, E.D, Giaglis, G.M and Pouloudi A. (2013) Gravitating to “The New Shiny Thing”: Meaning, Emotions and Tablets, IEEE Technology and Society Magazine,(June 2013). Vol.32,No.2,pp.74-80.
  • Kameas A., Gavalas D., Goumopoulos C., Nicopolitidis P. and Giaglis G.M. (2013) Distance Learning: A Postgraduate PerCom Program, IEEE Pervasive Computing 12,2, pp.83-85.
  • Zeimpekis, V., Minis, I., Giaglis, G.M. and Mamasis, K. (2013) Real-time Fleet Management and Rerouting in City Logistics, International Journal of Operations Research and Information Systems, 4,4, pp. 1-21.