IDEAS home Printed from https://ideas.repec.org/p/pra/mprapa/25439.html
   My bibliography  Save this paper

Forecasting the Growth of e-Tourism Sector: The Case Study of Mediterranean Countries

Author

Listed:
  • Mavri, Maria
  • Angelis, Vasilis

Abstract

Tourism is one of the first services sectors to adapt and use Information and Communication Technology (ICT) for promoting its services. ICT enable travelers to access reliable and accurate information, as well as to make reservations in a fraction of the time and the cost. The objective of this work is to measure the impact of ICT on the tourism sector growth. Assuming that the increase of e-tourism sector depends on the increase in tourism demand and internet penetration, we examine the case of all Mediterranean EU member countries, and forecast the growth of online tourism services.

Suggested Citation

  • Mavri, Maria & Angelis, Vasilis, 2009. "Forecasting the Growth of e-Tourism Sector: The Case Study of Mediterranean Countries," MPRA Paper 25439, University Library of Munich, Germany, revised 25 Aug 2009.
    • Handle: RePEc:pra:mprapa:25439
    as

    Download full text from publisher

    File URL: https://mpra.ub.uni-muenchen.de/25439/1/MPRA_paper_25439.pdf
    File Function: original version
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Garcia-Ferrer, Antonio & Queralt, Ricardo A., 1997. "A note on forecasting international tourism demand in Spain," International Journal of Forecasting, Elsevier, vol. 13(4), pages 539-549, December.
    2. Witt, Stephen F. & Witt, Christine A., 1995. "Forecasting tourism demand: A review of empirical research," International Journal of Forecasting, Elsevier, vol. 11(3), pages 447-475, September.
    3. du Preez, Johann & Witt, Stephen F., 2003. "Univariate versus multivariate time series forecasting: an application to international tourism demand," International Journal of Forecasting, Elsevier, vol. 19(3), pages 435-451.
    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. Iwona Bak & Emilia Barej-Kaczmarek & Piotr Sulikowski, 2022. "Impact of Information and Communication Technologies on the Tourism Sector," European Research Studies Journal, European Research Studies Journal, vol. 0(3), pages 595-606.
    2. Chien-Chiang Lee & Mei-Ping Chen & Wenmin Wu & Wenwu Xing, 2021. "The impacts of ICTs on tourism development: International evidence based on a panel quantile approach," Information Technology & Tourism, Springer, vol. 23(4), pages 509-547, December.

    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. Song, Haiyan & Qiu, Richard T.R. & Park, Jinah, 2019. "A review of research on tourism demand forecasting," Annals of Tourism Research, Elsevier, vol. 75(C), pages 338-362.
    2. Elisa Jorge-González & Enrique González-Dávila & Raquel Martín-Rivero & Domingo Lorenzo-Díaz, 2020. "Univariate and multivariate forecasting of tourism demand using state-space models," Tourism Economics, , vol. 26(4), pages 598-621, June.
    3. Nicholas Apergis & Andrea Mervar & James E. Payne, 2017. "Forecasting disaggregated tourist arrivals in Croatia," Tourism Economics, , vol. 23(1), pages 78-98, February.
    4. Guizzardi, Andrea & Mazzocchi, Mario, 2010. "Tourism demand for Italy and the business cycle," Tourism Management, Elsevier, vol. 31(3), pages 367-377.
    5. Niematallah Elamin & Mototsugu Fukushige, 2016. "Forecasting extreme seasonal tourism demand," Discussion Papers in Economics and Business 16-23, Osaka University, Graduate School of Economics.
    6. Niematallah Elamin & Mototsugu Fukushige, 2018. "Forecasting extreme seasonal tourism demand: the case of Rishiri Island in Japan," Asia-Pacific Journal of Regional Science, Springer, vol. 2(2), pages 279-296, August.
    7. Brannas, Kurt & Hellstrom, Jorgen & Nordstrom, Jonas, 2002. "A new approach to modelling and forecasting monthly guest nights in hotels," International Journal of Forecasting, Elsevier, vol. 18(1), pages 19-30.
    8. du Preez, Johann & Witt, Stephen F., 2003. "Univariate versus multivariate time series forecasting: an application to international tourism demand," International Journal of Forecasting, Elsevier, vol. 19(3), pages 435-451.
    9. Georgios Gatopoulos & Helen Gazopoulou & George A. Zombanakis, 2020. "Assessing the Impact of Domestic Economic Crises on Foreign Travel Data Recording: The Greek Case," European Research Studies Journal, European Research Studies Journal, vol. 0(3), pages 327-339.
    10. Coshall, John T. & Charlesworth, Richard, 2011. "A management orientated approach to combination forecasting of tourism demand," Tourism Management, Elsevier, vol. 32(4), pages 759-769.
    11. Marcos Álvarez-Díaz & Manuel González-Gómez & María Soledad Otero-Giráldez, 2018. "Forecasting International Tourism Demand Using a Non-Linear Autoregressive Neural Network and Genetic Programming," Forecasting, MDPI, vol. 1(1), pages 1-17, September.
    12. Yılmaz, Engin, 2015. "Forecasting tourist arrivals to Turkey," MPRA Paper 68616, University Library of Munich, Germany.
    13. Willem A. Naudé & Andrea Saayman, 2005. "Determinants of Tourist Arrivals in Africa: A Panel Data Regression Analysis," Tourism Economics, , vol. 11(3), pages 365-391, September.
    14. Peng, Bo & Song, Haiyan & Crouch, Geoffrey I., 2014. "A meta-analysis of international tourism demand forecasting and implications for practice," Tourism Management, Elsevier, vol. 45(C), pages 181-193.
    15. Cabrer Borrás, Bernanrdi & Rico Belda, Paz & Sancho Pérez, Amparo, 2016. "Los gastos públicos de promoción de los destinos y la demanda turística interior en España/Public Promotional Spending and Domestic Tourism Demand in Spain," Estudios de Economia Aplicada, Estudios de Economia Aplicada, vol. 34, pages 573-596, Agosto.
    16. Gustavsson, Patrik & Nordström, Jonas, 1999. "The Impact of Seasonal Unit Roots and Vector ARMA Modeling on Forecasting Monthly Tourism Flows," Working Paper Series 150, Trade Union Institute for Economic Research, revised 01 Jul 2000.
    17. Andrawis, Robert R. & Atiya, Amir F. & El-Shishiny, Hisham, 2011. "Combination of long term and short term forecasts, with application to tourism demand forecasting," International Journal of Forecasting, Elsevier, vol. 27(3), pages 870-886, July.
    18. Ogechi Adeola & Nathaniel Boso & Olaniyi Evans, 2018. "Drivers of international tourism demand in Africa," Business Economics, Palgrave Macmillan;National Association for Business Economics, vol. 53(1), pages 25-36, January.
    19. Ya-Ling Huang & Chin-Tsai Lin, 2011. "Developing an interval forecasting method to predict undulated demand," Quality & Quantity: International Journal of Methodology, Springer, vol. 45(3), pages 513-524, April.
    20. Lin, Tun & De Guzman, Franklin, 2007. "Tourism for pro-poor and sustainable growth: economic analysis of tourism projects," MPRA Paper 24994, University Library of Munich, Germany.

    More about this item

    Keywords

    e-Tourism; ICT; forecasting techniques;
    All these keywords.

    JEL classification:

    • O1 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development
    • M1 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Business Administration
    • L83 - Industrial Organization - - Industry Studies: Services - - - Sports; Gambling; Restaurants; Recreation; Tourism

    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:pra:mprapa:25439. 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: Joachim Winter (email available below). General contact details of provider: https://edirc.repec.org/data/vfmunde.html .

    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.