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Small and medium enterprises in regions - empirical and quantitative approach

Author

Listed:
  • Ladislav Mura

    (Pan-European University, Slovakia)

  • Zuzana Hajduová

    (University of Economics in Bratislava, Slovakia)

Abstract

The problem of identifying and quantifying the efficiency of accommodation units is currently a discussed issue. Recognition and identification of the most important aspects that increase the financial efficiency of a rapidly changing business environment, especially in a difficult period of economic and tourism bounce back is a key issue. Only the companies that adequately address the issue of their measurement and evaluation and are able to choose the right approach in this regard will win the competition. Our work focuses on the identification of key factors influencing the management of business entities. We carried out a detailed analysis of accommodation units in selected accommodation facilities at the regional level. We wanted to point out the differences within the individual regions of Slovakia. By applying the DEA method, we used individual models focused on inputs and outputs in order to determine the inefficient units in our research, and revealed its shortcomings and pointed out the way to improve the economic results of these research subjects.

Suggested Citation

  • Ladislav Mura & Zuzana Hajduová, 2021. "Small and medium enterprises in regions - empirical and quantitative approach," Insights into Regional Development, VsI Entrepreneurship and Sustainability Center, vol. 3(2), pages 252-266, June.
  • Handle: RePEc:ssi:jouird:v:3:y:2021:i:2:p:252-266
    DOI: 10.9770/ird.2021.3.2(6)
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    References listed on IDEAS

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    1. St. Aisyah & Chalid Imran Musa & Anwar Ramli, 2017. "Effect of Characteristics and Entrepreneurial Orientation towards Entrepreneurship Competence and Crafts and Arts Small and Medium Enterprises Business Performance in Makassar," International Review of Management and Marketing, Econjournals, vol. 7(2), pages 166-173.
    2. Curado, Carla & Muñoz-Pascual, Lucía & Galende, Jesús, 2018. "Antecedents to innovation performance in SMEs: A mixed methods approach," Journal of Business Research, Elsevier, vol. 89(C), pages 206-215.
    3. Jaroslav Belas & Martin Cepel & Anna Kotaskova, 2018. "Quality of business environment in the SME segment," Proceedings of International Academic Conferences 6509331, International Institute of Social and Economic Sciences.
    4. William W. Cooper & Lawrence M. Seiford & Kaoru Tone, 2007. "Data Envelopment Analysis," Springer Books, Springer, edition 0, number 978-0-387-45283-8, July.
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    Cited by:

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    3. Wadim Strielkowski & Lubomír Civín & Elena Tarkhanova & Manuela Tvaronavičienė & Yelena Petrenko, 2021. "Renewable Energy in the Sustainable Development of Electrical Power Sector: A Review," Energies, MDPI, vol. 14(24), pages 1-24, December.
    4. Michal Hrivnák & Peter Moritz & Marcela Chreneková, 2021. "What Kept the Boat Afloat? Sustainability of Employment in Knowledge-Intensive Sectors Due to Government Measures during COVID-19 Pandemic," Sustainability, MDPI, vol. 13(15), pages 1-21, July.
    5. Jarmila Straková & Antonín Korauš & Jan Váchal & František Pollák & Filip Černák & Milan Talíř & Jaroslav Kollmann, 2021. "Sustainable Development Economics of Enterprises in the Services Sector Based on Effective Management of Value Streams," Sustainability, MDPI, vol. 13(16), pages 1-15, August.

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    More about this item

    Keywords

    small and medium enterprises; regions; DEA; models; correlation;
    All these keywords.

    JEL classification:

    • C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Semiparametric and Nonparametric Methods: General
    • C44 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Operations Research; Statistical Decision Theory
    • L21 - Industrial Organization - - Firm Objectives, Organization, and Behavior - - - Business Objectives of the Firm

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