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Model of Evaluation and Selection of Expert Group Members for Smart Cities, Green Transportation and Mobility: From Safe Times to Pandemic Times

Author

Listed:
  • Miroslav Kelemen

    (Faculty of Aeronautics, Technical University of Kosice, 041 21 Kosice, Slovakia)

  • Volodymyr Polishchuk

    (Faculty of Information Technologies, Uzhhorod National University, 88000 Uzhhorod, Ukraine)

  • Beáta Gavurová

    (Research and Innovation Centre Bioinformatics, USP TECHNICOM, Faculty of Mining, Ecology, Process Control and Geotechnology, Technical University of Košice, 040 01 Kosice, Slovakia)

  • Róbert Rozenberg

    (Faculty of Aeronautics, Technical University of Kosice, 041 21 Kosice, Slovakia)

  • Juraj Bartok

    (MicroStep-MIS, Čavojského 1, 841 04 Bratislava, Slovakia
    Department of Astronomy, Physics of the Earth, and Meteorology, Comenius University in Bratislava, Mlynská dolina, 842 48 Bratislava, Slovakia)

  • Ladislav Gaál

    (MicroStep-MIS, Čavojského 1, 841 04 Bratislava, Slovakia)

  • Martin Gera

    (Department of Astronomy, Physics of the Earth, and Meteorology, Comenius University in Bratislava, Mlynská dolina, 842 48 Bratislava, Slovakia)

  • Martin Kelemen

    (Faculty of Aeronautics, Technical University of Kosice, 041 21 Kosice, Slovakia)

Abstract

This paper presents the development of technologies to support the decision-making of local government executives and smart city concept managers in selecting and evaluating the competencies of new members for advisory groups for solving problems that are implemented in safe times in individual areas or in crises, such as pandemics. The reason for developing effective urban transformation strategies and for the transparent selection of independent experts (non-politicians) for policymaking, decision-making, and implementation teams is not only the heterogeneity of smart city dimensions together with the necessary complexity and systems approach, but also the nature of the capacities and tools needed for smart city concepts. The innovative hybrid competency assessment model is based on fuzzy logic and a network for neuro-fuzzy assessment. It is a technological model for evaluating the competencies of specialists, taking into account the influence of human factors on the processes of personnel selection and system management. An innovative web platform named “Smart City Concept Personnel Selection” has been designed, which can be adapted to various users of municipalities or regional institutions for the transparent selection of qualified personnel for effective decision-making and the use of public funds during safe times or emergencies, such as the COVID-19 pandemic.

Suggested Citation

  • Miroslav Kelemen & Volodymyr Polishchuk & Beáta Gavurová & Róbert Rozenberg & Juraj Bartok & Ladislav Gaál & Martin Gera & Martin Kelemen, 2021. "Model of Evaluation and Selection of Expert Group Members for Smart Cities, Green Transportation and Mobility: From Safe Times to Pandemic Times," Mathematics, MDPI, vol. 9(11), pages 1-21, June.
  • Handle: RePEc:gam:jmathe:v:9:y:2021:i:11:p:1287-:d:568326
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    References listed on IDEAS

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    1. Feng, Bo & Jiang, Zhong-Zhong & Fan, Zhi-Ping & Fu, Na, 2010. "A method for member selection of cross-functional teams using the individual and collaborative performances," European Journal of Operational Research, Elsevier, vol. 203(3), pages 652-661, June.
    2. Miroslav Kelemen & Volodymyr Polishchuk & Beáta Gavurová & Rudolf Andoga & Stanislav Szabo & Wenjiang Yang & John Christodoulakis & Martin Gera & Jaroslaw Kozuba & Peter Kaľavský & Matej Antoško, 2020. "Educational Model for Evaluation of Airport NIS Security for Safe and Sustainable Air Transport," Sustainability, MDPI, vol. 12(16), pages 1-20, August.
    3. Dariusz Wójcik & Stefanos Ioannou, 2020. "COVID‐19 and Finance: Market Developments So Far and Potential Impacts on the Financial Sector and Centres," Tijdschrift voor Economische en Sociale Geografie, Royal Dutch Geographical Society KNAG, vol. 111(3), pages 387-400, July.
    4. Girum Abebe & Tom Bundervoet & Christina Wieser, 2020. "Monitoring COVID-19 Impacts on Firms in Ethiopia, Report No. 2," World Bank Publications - Reports 33766, The World Bank Group.
    5. Jill Juergensen & José Guimón & Rajneesh Narula, 2020. "European SMEs amidst the COVID-19 crisis: assessing impact and policy responses," Economia e Politica Industriale: Journal of Industrial and Business Economics, Springer;Associazione Amici di Economia e Politica Industriale, vol. 47(3), pages 499-510, September.
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    Cited by:

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    2. Haohao Qu & Sheng Liu & Jun Li & Yuren Zhou & Rui Liu, 2022. "Adaptation and Learning to Learn (ALL): An Integrated Approach for Small-Sample Parking Occupancy Prediction," Mathematics, MDPI, vol. 10(12), pages 1-19, June.
    3. Alica Tobisova & Andrea Senova & Gabriela Izarikova & Ivana Krutakova, 2022. "Proposal of a Methodology for Assessing Financial Risks and Investment Development for Sustainability of Enterprises in Slovakia," Sustainability, MDPI, vol. 14(9), pages 1-14, April.
    4. Veronika Machová & Tomáš Krulický & Michaela Brožová, 2022. "Valuation of goodwill using weighted average return on assets: assessment of average transport and storage enterprise in the Czech Republic," Entrepreneurship and Sustainability Issues, VsI Entrepreneurship and Sustainability Center, vol. 10(2), pages 510-526, December.

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