Sftis: a decision support system for tourism demand analysis and forecasting

Konstantinos Nikolopoulos; V Assimakopoulos; K Metaxiotis; A Patelis; C. Petropoulos

doi:10.1080/08874417.2003.11647548

Sftis: a decision support system for tourism demand analysis and forecasting

Konstantinos Nikolopoulos, V Assimakopoulos, K Metaxiotis, A Patelis, C. Petropoulos

Research output: Contribution to journal › Article › peer-review

Abstract

Accurate forecasts of tourism demand are prerequisite to the decision-making process in many organizations of the private or public sector. Any information concerning the future evolution of tourism flows is of great importance to hoteliers, tour operators and other industries related to tourism or transportation, in order to adjust their policy and corporate finance in an effective and efficient way. This paper aims to present a new, improved model for Tourism Demand Analysis and Forecasting (DTAF) and then to discuss the development of an innovative Decision Support System (called SFTIS) which provides the user with appropriate tools necessary for forecasting, analysis and effective use of tourism data, as a mean of decision support for optimal planning and policy making. In order to evaluate the system, we used Greek inbound tourism data for the year 2000 from ten major origin countries.

Original language	English
Pages (from-to)	21-32
Journal	Journal of Computer Information Systems
Volume	44
Issue number	1
DOIs	https://doi.org/10.1080/08874417.2003.11647548
Publication status	Published - 2003

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1080/08874417.2003.11647548

Cite this

@article{ae46087b44154ec289b8c3fe83d2826b,

title = "Sftis: a decision support system for tourism demand analysis and forecasting",

abstract = "Accurate forecasts of tourism demand are prerequisite to the decision-making process in many organizations of the private or public sector. Any information concerning the future evolution of tourism flows is of great importance to hoteliers, tour operators and other industries related to tourism or transportation, in order to adjust their policy and corporate finance in an effective and efficient way. This paper aims to present a new, improved model for Tourism Demand Analysis and Forecasting (DTAF) and then to discuss the development of an innovative Decision Support System (called SFTIS) which provides the user with appropriate tools necessary for forecasting, analysis and effective use of tourism data, as a mean of decision support for optimal planning and policy making. In order to evaluate the system, we used Greek inbound tourism data for the year 2000 from ten major origin countries.",

author = "Konstantinos Nikolopoulos and V Assimakopoulos and K Metaxiotis and A Patelis and C. Petropoulos",

year = "2003",

doi = "10.1080/08874417.2003.11647548",

language = "English",

volume = "44",

pages = "21--32",

journal = "Journal of Computer Information Systems",

issn = "0887-4417",

publisher = "Taylor & Francis",

number = "1",

}

TY - JOUR

T1 - Sftis: a decision support system for tourism demand analysis and forecasting

AU - Nikolopoulos, Konstantinos

AU - Assimakopoulos, V

AU - Metaxiotis, K

AU - Patelis, A

AU - Petropoulos, C.

PY - 2003

Y1 - 2003

N2 - Accurate forecasts of tourism demand are prerequisite to the decision-making process in many organizations of the private or public sector. Any information concerning the future evolution of tourism flows is of great importance to hoteliers, tour operators and other industries related to tourism or transportation, in order to adjust their policy and corporate finance in an effective and efficient way. This paper aims to present a new, improved model for Tourism Demand Analysis and Forecasting (DTAF) and then to discuss the development of an innovative Decision Support System (called SFTIS) which provides the user with appropriate tools necessary for forecasting, analysis and effective use of tourism data, as a mean of decision support for optimal planning and policy making. In order to evaluate the system, we used Greek inbound tourism data for the year 2000 from ten major origin countries.

AB - Accurate forecasts of tourism demand are prerequisite to the decision-making process in many organizations of the private or public sector. Any information concerning the future evolution of tourism flows is of great importance to hoteliers, tour operators and other industries related to tourism or transportation, in order to adjust their policy and corporate finance in an effective and efficient way. This paper aims to present a new, improved model for Tourism Demand Analysis and Forecasting (DTAF) and then to discuss the development of an innovative Decision Support System (called SFTIS) which provides the user with appropriate tools necessary for forecasting, analysis and effective use of tourism data, as a mean of decision support for optimal planning and policy making. In order to evaluate the system, we used Greek inbound tourism data for the year 2000 from ten major origin countries.

U2 - 10.1080/08874417.2003.11647548

DO - 10.1080/08874417.2003.11647548

M3 - Article

SN - 0887-4417

VL - 44

SP - 21

EP - 32

JO - Journal of Computer Information Systems

JF - Journal of Computer Information Systems

IS - 1

ER -

Sftis: a decision support system for tourism demand analysis and forecasting

Abstract

UN SDGs

Access to Document

Fingerprint

Cite this