ANALYSIS AND PREDICTION OF TOURIST TRAFFIC IN THE REPUBLIC OF SERBIA AFTER THE PANDEMIC Cover Image

ANALYSIS AND PREDICTION OF TOURIST TRAFFIC IN THE REPUBLIC OF SERBIA AFTER THE PANDEMIC
ANALYSIS AND PREDICTION OF TOURIST TRAFFIC IN THE REPUBLIC OF SERBIA AFTER THE PANDEMIC

Author(s): Tamara Gajić, Miloš Zrnić, Dragan Vukolić
Subject(s): Economy
Published by: Visoka škola za poslovnu ekonomiju i preduzetništvo
Keywords: tourism; forecasting; TSA; pandemic; Serbia

Summary/Abstract: In the last two and a half years, the COVID-19 pandemic has caused great losses both in society and in the field of economy and all its sectors. The goal of the research was to try to predict the tourist traffic for the period of the next two years, based on the data of the Statistical Office of the Republic of Serbia. Time series analyse (TSA) was used, and based on the obtained data that indicate the reliability of the model, a forecast was made. The importance of the research is seen first of all to supplement the theoretical part of the research of tourist traffic in the future after unforeseen crisis situations, but also in an applied sense, where tourist subjects could look at the results of predictions and control their business as much as possible in the future period

  • Issue Year: 2023
  • Issue No: 3-4
  • Page Range: 213-222
  • Page Count: 10
  • Language: English