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The last dozen of years of OR research in Czechia and Slovakia

Author

Listed:
  • Josef Jablonský

    (Prague University of Economics and Business)

  • Michal Černý

    (Prague University of Economics and Business)

  • Juraj Pekár

    (University of Economics Bratislava)

Abstract

The paper discusses operations research (OR) history and achievements in Czechia and Slovakia in 2010–2021 including the most significant OR professional events in the region. The history of Central European Journal of Operations Research from its beginnings to the present is shortly mentioned. The paper presents and analyzes main bibliometric and publishing trends in academic OR research relevant for the region. The final part of this paper contains an introduction to the current issue that contains results of the latest OR research in both countries.

Suggested Citation

  • Josef Jablonský & Michal Černý & Juraj Pekár, 2022. "The last dozen of years of OR research in Czechia and Slovakia," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 30(2), pages 435-447, June.
    • Handle: RePEc:spr:cejnor:v:30:y:2022:i:2:d:10.1007_s10100-022-00795-4
    DOI: 10.1007/s10100-022-00795-4
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    References listed on IDEAS

    as
    1. Adam, Lukáš & Branda, Martin, 2021. "Risk-aversion in data envelopment analysis models with diversification," Omega, Elsevier, vol. 102(C).
    2. Bustince, H. & Jurio, A. & Pradera, A. & Mesiar, R. & Beliakov, G., 2013. "Generalization of the weighted voting method using penalty functions constructed via faithful restricted dissimilarity functions," European Journal of Operational Research, Elsevier, vol. 225(3), pages 472-478.
    3. Boczek, Michał & Hovana, Anton & Hutník, Ondrej & Kaluszka, Marek, 2021. "New monotone measure-based integrals inspired by scientific impact problem," European Journal of Operational Research, Elsevier, vol. 290(1), pages 346-357.
    4. Branda, Martin, 2015. "Diversification-consistent data envelopment analysis based on directional-distance measures," Omega, Elsevier, vol. 52(C), pages 65-76.
    5. Thierry Post & Miloš Kopa, 2017. "Portfolio Choice Based on Third-Degree Stochastic Dominance," Management Science, INFORMS, vol. 63(10), pages 3381-3392, October.
    6. Thierry Post & Yi Fang & Miloš Kopa, 2015. "Linear Tests for Decreasing Absolute Risk Aversion Stochastic Dominance," Management Science, INFORMS, vol. 61(7), pages 1615-1629, July.
    7. Kolesárová, Anna & Li, Jun & Mesiar, Radko, 2018. "k-additive aggregation functions and their characterization," European Journal of Operational Research, Elsevier, vol. 265(3), pages 985-992.
    8. Mesiar, R. & Kolesárová, A. & Bustince, H. & Dimuro, G.P. & Bedregal, B.C., 2016. "Fusion functions based discrete Choquet-like integrals," European Journal of Operational Research, Elsevier, vol. 252(2), pages 601-609.
    9. Jana Cahlíková & Lubomír Cingl & Ian Levely, 2020. "How Stress Affects Performance and Competitiveness Across Gender," Management Science, INFORMS, vol. 66(8), pages 3295-3310, August.
    10. Egan, Malcolm & Jakob, Michal, 2016. "Market mechanism design for profitable on-demand transport services," Transportation Research Part B: Methodological, Elsevier, vol. 89(C), pages 178-195.
    11. Mahlberg, Bernhard & Luptacik, Mikulas, 2014. "Eco-efficiency and eco-productivity change over time in a multisectoral economic system," European Journal of Operational Research, Elsevier, vol. 234(3), pages 885-897.
    12. Jeffrey Ely & Andrea Galeotti & Jakub Steiner, 2021. "Rotation as Contagion Mitigation," Management Science, INFORMS, vol. 67(5), pages 3117-3126, May.
    13. Matej Lorko & Maroš Servátka & Le Zhang, 2021. "Improving the Accuracy of Project Schedules," Production and Operations Management, Production and Operations Management Society, vol. 30(6), pages 1633-1646, June.
    14. Helmut Gfrerer & Jiří V. Outrata, 2016. "On Computation of Generalized Derivatives of the Normal-Cone Mapping and Their Applications," Mathematics of Operations Research, INFORMS, vol. 41(4), pages 1535-1556, November.
    15. Suzdaleva, Evženie & Nagy, Ivan, 2019. "Two-layer pointer model of driving style depending on the driving environment," Transportation Research Part B: Methodological, Elsevier, vol. 128(C), pages 254-270.
    16. Vladim'ir Hol'y & Michal v{C}ern'y, 2021. "Bertram's Pairs Trading Strategy with Bounded Risk," Papers 2102.04160, arXiv.org, revised Jun 2021.
    17. Bustince, H. & Fernandez, J. & Kolesárová, A. & Mesiar, R., 2015. "Directional monotonicity of fusion functions," European Journal of Operational Research, Elsevier, vol. 244(1), pages 300-308.
    18. Toloo, Mehdi & Keshavarz, Esmaeil & Hatami-Marbini, Adel, 2021. "Selecting data envelopment analysis models: A data-driven application to EU countries," Omega, Elsevier, vol. 101(C).
    19. Milenković, Miloš S. & Bojović, Nebojša J. & Švadlenka, Libor & Melichar, Vlastimil, 2015. "A stochastic model predictive control to heterogeneous rail freight car fleet sizing problem," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 82(C), pages 162-198.
    20. Walheer, Barnabe & Hudik, Marek, 2019. "Reallocation of resources in multidivisional firms: A nonparametric approach," International Journal of Production Economics, Elsevier, vol. 214(C), pages 196-205.
    21. Marcin Bienkowski & Martin Böhm & Jaroslaw Byrka & Marek Chrobak & Christoph Dürr & Lukáš Folwarczný & Łukasz Jeż & Jiří Sgall & Nguyen Kim Thang & Pavel Veselý, 2020. "Online Algorithms for Multilevel Aggregation," Operations Research, INFORMS, vol. 68(1), pages 214-232, January.
    22. Moriggia, Vittorio & Kopa, Miloš & Vitali, Sebastiano, 2019. "Pension fund management with hedging derivatives, stochastic dominance and nodal contamination," Omega, Elsevier, vol. 87(C), pages 127-141.
    23. Tavana, Madjid & Izadikhah, Mohammad & Toloo, Mehdi & Roostaee, Razieh, 2021. "A new non-radial directional distance model for data envelopment analysis problems with negative and flexible measures," Omega, Elsevier, vol. 102(C).
    24. Lukeš, Martin & Longo, Maria Cristina & Zouhar, Jan, 2019. "Do business incubators really enhance entrepreneurial growth? Evidence from a large sample of innovative Italian start-ups," Technovation, Elsevier, vol. 82, pages 25-34.
    25. Brunovský, Pavol & Černý, Aleš & Komadel, Ján, 2018. "Optimal trade execution under endogenous pressure to liquidate: Theory and numerical solutions," European Journal of Operational Research, Elsevier, vol. 264(3), pages 1159-1171.
    26. Vladim'ir Hol'y & Tom'av{s} Evan, 2021. "The Role of a Nation's Culture in the Country's Governance: Stochastic Frontier Analysis," Papers 2102.05411, arXiv.org, revised Apr 2021.
    27. de Hierro, A.F. Roldán López & Bustince, H. & Fernández, J. & Mesiar, R. & Roldán, C., 2018. "Two novel methodologies for considering aggregation functions by implicit equations and minimization problems," European Journal of Operational Research, Elsevier, vol. 270(2), pages 670-681.
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