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

被引:0
|
作者
Varelas, Sotirios [1 ]
Tsoupros, Georgios [1 ]
机构
[1] Univ Piraeus, Sch Econ Business & Int Studies EBIS, Tourism Studies Dept, Piraeus 18534, Greece
关键词
DMMOs; key performance indicators; data envelopment analysis; strategic planning; EFFICIENCY;
D O I
10.3390/su16083453
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
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.
引用
收藏
页数:11
相关论文
共 47 条
  • [41] Data based root cause analysis for improving logistic key performance indicators of a company's internal supply chain
    Schmidt, Matthias
    Maier, Janine Tatjana
    Haertel, Lasse
    [J]. 7TH CIRP GLOBAL WEB CONFERENCE - TOWARDS SHIFTED PRODUCTION VALUE STREAM PATTERNS THROUGH INFERENCE OF DATA, MODELS, AND TECHNOLOGY (CIRPE 2019), 2019, 86 : 276 - 281
  • [42] Considering perceptual experiences and adaptive actions in performance analysis of elite Formula Kite riders by combining qualitative data and measured key indicators of performance
    Terrien, Eric
    Huet, Benoit
    Iachkine, Paul
    Saury, Jacques
    [J]. INTERNATIONAL JOURNAL OF SPORTS SCIENCE & COACHING, 2024, 19 (01) : 368 - 378
  • [43] Phase preserving profile generation from measurement data by clustering and performance analysis: a tool for network planning and operation
    Zehetbauer, Paul
    Stifter, Matthias
    Rao, Bharath Varsh
    [J]. COMPUTER SCIENCE-RESEARCH AND DEVELOPMENT, 2018, 33 (1-2): : 145 - 155
  • [44] Analysis of key performance indicators of a 4G LTE network based on experimental data obtained from a densely populated smart city
    Imoize, Agbotiname Lucky
    Orolu, Kehinde
    Atayero, Aderemi Aaron-Anthony
    [J]. DATA IN BRIEF, 2020, 29
  • [45] Big Data Analysis with Key Performance Indicators for Reactive Power Balance and Associated Voltage Quality Visual Mapping in the North-Western Part of the Danish Grid
    Aggs, Simon Hojstrup
    Randewijk, Peter Jan
    Knutz, Boye Cornils
    Kristensen, Anders Steen
    [J]. 2019 54TH INTERNATIONAL UNIVERSITIES POWER ENGINEERING CONFERENCE (UPEC), 2019,
  • [46] Updating analysis of key performance indicators of 4G LTE network with the prediction of missing values of critical network parameters based on experimental data from a dense urban environment
    Imoize, Agbotiname Lucky
    Tofade, Samuel Oluwatobi
    Ughegbe, Glory Uzuazobona
    Anyasi, Francis Ifeanyi
    Isabona, Joseph
    [J]. DATA IN BRIEF, 2022, 42
  • [47] Ultra-short-term forecasting for photovoltaic power plants and real-time key performance indicators analysis with big data solutions. Two case studies - PV Agigea and PV Giurgiu located in Romania
    Oprea, Simona-Vasilica
    Bara, Adela
    [J]. COMPUTERS IN INDUSTRY, 2020, 120