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Key Performance Indicators and Data Envelopment Analysis in Greek Tourism: A Strategic Planning Tool for Destinations and DMMOs

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  • Sotirios Varelas

    (Tourism Studies Department, School of Economics, Business and International Studies (EBIS), University of Piraeus, 185 34 Piraeus, Greece)

  • Georgios Tsoupros

    (Tourism Studies Department, School of Economics, Business and International Studies (EBIS), University of Piraeus, 185 34 Piraeus, Greece)

Abstract

Over the years, the tourism sector has constantly been a driving force in strengthening the Greek economy. Therefore, being capable of leveraging a tourism business’s performance can be of great importance in many aspects for destinations and destination management and marketing organizations (DMMOs). For this very purpose, this study’s methodology consists of a combined application of the key performance indicators and data envelopment analysis. The research conducted is quantitative, aiming to analyze the efficiency of the Greek hotels by region and determine the effective ones, as well as the strategic and managerial changes which should be considered by the non-effective. As a result, it shall become possible for each set of hotels to know the ideal turnover and the tourism nights spent that they should achieve, based on their current capacity in terms of beds and employees. Ultimately, this process could play a pivotal role in a region’s strategic planning, both from a resource management perspective, as well as in establishing an effective, measurable strategy that can be implemented by regional policy makers and destination managers in a real-time benchmarking process.

Suggested Citation

  • Sotirios Varelas & Georgios Tsoupros, 2024. "Key Performance Indicators and Data Envelopment Analysis in Greek Tourism: A Strategic Planning Tool for Destinations and DMMOs," Sustainability, MDPI, vol. 16(8), pages 1-12, April.
  • Handle: RePEc:gam:jsusta:v:16:y:2024:i:8:p:3453-:d:1379581
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    References listed on IDEAS

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    1. William W. Cooper & Lawrence M. Seiford & Joe Zhu (ed.), 2011. "Handbook on Data Envelopment Analysis," International Series in Operations Research and Management Science, Springer, number 978-1-4419-6151-8, July-Dece.
    2. Amer Ait Sidhoum & Teresa Serra & Laure Latruffe, 2020. "Measuring sustainability efficiency at farm level: a data envelopment analysis approach [Economic and environmental efficiency of district heating plants]," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 47(1), pages 200-225.
    3. Tone, Kaoru & Toloo, Mehdi & Izadikhah, Mohammad, 2020. "A modified slacks-based measure of efficiency in data envelopment analysis," European Journal of Operational Research, Elsevier, vol. 287(2), pages 560-571.
    4. Boussofiane, A. & Dyson, R. G. & Thanassoulis, E., 1991. "Applied data envelopment analysis," European Journal of Operational Research, Elsevier, vol. 52(1), pages 1-15, May.
    5. Charnes, A. & Cooper, W. W. & Rhodes, E., 1978. "Measuring the efficiency of decision making units," European Journal of Operational Research, Elsevier, vol. 2(6), pages 429-444, November.
    6. Ekaterina Arabska & Venelin Terziev, 2015. "Opportunities of Establishment of Destination Management and Marketing Organizations in Bulgaria," Journal of Economic Development, Environment and People, Alliance of Central-Eastern European Universities, vol. 4(2), pages 49-60, June.
    7. Katerina Fotova Čiković & Ivana Martinčević & Joško Lozić, 2022. "Application of Data Envelopment Analysis (DEA) in the Selection of Sustainable Suppliers: A Review and Bibliometric Analysis," Sustainability, MDPI, vol. 14(11), pages 1-30, May.
    8. Sotrios Varelas & Dimitrios Belias, 2019. "Carrying Capacity Assessment for Tourism Development: A Strategic Approach," Springer Proceedings in Business and Economics, in: Androniki Kavoura & Efstathios Kefallonitis & Apostolos Giovanis (ed.), Strategic Innovative Marketing and Tourism, pages 869-876, Springer.
    9. Smaranda Toma & Daniela Mihai, 2022. "The Roles and Functions of Destination Management Organizations (DMOs) in the Success and Performance of Tourism Destinations," Ovidius University Annals, Economic Sciences Series, Ovidius University of Constantza, Faculty of Economic Sciences, vol. 0(2), pages 786-793, Decembrie.
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