IDEAS home Printed from https://ideas.repec.org/a/ssi/jouird/v3y2021i2p252-266.html
   My bibliography  Save this article

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)
    as

    Download full text from publisher

    File URL: https://jssidoi.org/ird/uploads/articles/10/Mura_Small_and_medium_enterprises_in_regions__empirical_and_quantitative_approach.pdf
    Download Restriction: no
    File URL: https://jssidoi.org/ird/article/70
    Download Restriction: no
    File URL: https://libkey.io/10.9770/IRD.2021.3.2(6)?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    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, September.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Ane-Mari ANDRONICEANU & Jani KINNUNEN & Irina GEORGESCU, 2021. "Entrepreneurial Motivations To Start New Businesses: A Panel Data Analysis," Proceedings of the INTERNATIONAL MANAGEMENT CONFERENCE, Faculty of Management, Academy of Economic Studies, Bucharest, Romania, vol. 15(1), pages 479-491, November.
    2. Olha Prokopenko & Marina J rvis & Gunnar Prause & Inna Kara & Hanna Kyrychenko & Oleksandr Kochubei & Maryna Prokopenko, 2022. "Economic Features of the Use of Electric Vehicles in Delivery Services in Estonia," International Journal of Energy Economics and Policy, Econjournals, vol. 12(6), pages 340-349, November.
    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.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Ladislav Mura & Zuzana Hajduová, 2021. "Small and medium enterprises in regions - empirical and quantitative approach," Post-Print hal-03583940, HAL.
    2. Franz R. Hahn, 2007. "Determinants of Bank Efficiency in Europe. Assessing Bank Performance Across Markets," WIFO Studies, WIFO, number 31499, April.
    3. Alperovych, Yan & Hübner, Georges & Lobet, Fabrice, 2015. "How does governmental versus private venture capital backing affect a firm's efficiency? Evidence from Belgium," Journal of Business Venturing, Elsevier, vol. 30(4), pages 508-525.
    4. Oliver Stein & Nathan Sudermann-Merx, 2016. "The Cone Condition and Nonsmoothness in Linear Generalized Nash Games," Journal of Optimization Theory and Applications, Springer, vol. 170(2), pages 687-709, August.
    5. Anastasiou Athanasios & Kalligosfyris Charalampos & Kalamara Eleni, 2022. "Assessing the effectiveness of tax administration in macroeconomic stability: evidence from 26 European Countries," Economic Change and Restructuring, Springer, vol. 55(4), pages 2237-2261, November.
    6. Peter Fernandes Wanke & Rebecca de Mattos, 2014. "Capacity Issues and Efficiency Drivers in Brazilian Bulk Terminals," Brazilian Business Review, Fucape Business School, vol. 11(5), pages 72-98, October.
    7. Mohammad Nourani & Qian Long Kweh & Evelyn Shyamala Devadason & V.G.R. Chandran, 2020. "A decomposition analysis of managerial efficiency for the insurance companies: A data envelopment analysis approach," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 41(6), pages 885-901, September.
    8. Matthias Klumpp & Dominic Loske, 2021. "Sustainability and Resilience Revisited: Impact of Information Technology Disruptions on Empirical Retail Logistics Efficiency," Sustainability, MDPI, vol. 13(10), pages 1-20, May.
    9. George Halkos & Roman Matousek & Nickolaos Tzeremes, 2016. "Pre-evaluating technical efficiency gains from possible mergers and acquisitions: evidence from Japanese regional banks," Review of Quantitative Finance and Accounting, Springer, vol. 46(1), pages 47-77, January.
    10. Duk Hee Lee & Il Won Seo & Ho Chull Choe & Hee Dae Kim, 2012. "Collaboration network patterns and research performance: the case of Korean public research institutions," Scientometrics, Springer;Akadémiai Kiadó, vol. 91(3), pages 925-942, June.
    11. A. M. Aldanondo & V. L. Casasnovas, 2015. "Input aggregation bias in technical efficiency with multiple criteria analysis," Applied Economics Letters, Taylor & Francis Journals, vol. 22(6), pages 430-435, April.
    12. Khushalani, Jaya & Ozcan, Yasar A., 2017. "Are hospitals producing quality care efficiently? An analysis using Dynamic Network Data Envelopment Analysis (DEA)," Socio-Economic Planning Sciences, Elsevier, vol. 60(C), pages 15-23.
    13. Mehdiloozad, Mahmood & Zhu, Joe & Sahoo, Biresh K., 2018. "Identification of congestion in data envelopment analysis under the occurrence of multiple projections: A reliable method capable of dealing with negative data," European Journal of Operational Research, Elsevier, vol. 265(2), pages 644-654.
    14. Subhash C. Ray & Lei Chen, 2015. "Data Envelopment Analysis for Performance Evaluation: A Child’s Guide," Springer Books, in: Subhash C. Ray & Subal C. Kumbhakar & Pami Dua (ed.), Benchmarking for Performance Evaluation, edition 127, chapter 0, pages 75-116, Springer.
    15. Qiong Bao & Hanrun Tang & Yongjun Shen, 2021. "Driving Behavior Based Relative Risk Evaluation Using a Nonparametric Optimization Method," IJERPH, MDPI, vol. 18(23), pages 1-15, November.
    16. Amir B. Ferreira Neto & Joshua C. Hall, 2019. "Economies of scale and governance of library systems: evidence from West Virginia," Economics of Governance, Springer, vol. 20(3), pages 237-253, September.
    17. Halkos, George E. & Tzeremes, Nickolaos G., 2011. "Oil consumption and economic efficiency: A comparative analysis of advanced, developing and emerging economies," Ecological Economics, Elsevier, vol. 70(7), pages 1354-1362, May.
    18. Md Aslam Mia & V. G. R. Chandran, 2016. "Measuring Financial and Social Outreach Productivity of Microfinance Institutions in Bangladesh," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 127(2), pages 505-527, June.
    19. Simon, Jose & Simon, Clara & Arias, Alicia, 2011. "Changes in productivity of Spanish university libraries," Omega, Elsevier, vol. 39(5), pages 578-588, October.
    20. Danijela Tuljak-Suban & Patricija Bajec, 2022. "A Hybrid DEA Approach for the Upgrade of an Existing Bike-Sharing System with Electric Bikes," Energies, MDPI, vol. 15(21), pages 1-23, October.

    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

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:ssi:jouird:v:3:y:2021:i:2:p:252-266. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Manuela Tvaronaviciene (email available below). General contact details of provider: .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.