IDEAS home Printed from https://ideas.repec.org/p/bge/wpaper/915.html
   My bibliography  Save this paper

Information Sources Used by European Tourists: A Cross-Cultural Study

Author

Listed:
  • Tor Korneliussen
  • Michael Greenacre

Abstract

This study investigates which information sources European tourists use when making decisions about their travel/ holiday plans. Using survey data based on national representative samples of tourists from 27 member countries of the European Union allows generalizable conclusions to be drawn. The data were analysed using correspondence analysis of overall country data. The findings indicate that there are systematic differences in how information sources are related to one another and that the various national cultures within the European Union have influence on tourists' use of information sources. Six segments of information source behaviour are revealed. These segments reflect economic development and the national cultures of European nations. Management implications are highlighted. The findings of this study can be used to segment tourists' use of information sources according to economic development and national culture.

Suggested Citation

  • Tor Korneliussen & Michael Greenacre, 2016. "Information Sources Used by European Tourists: A Cross-Cultural Study," Working Papers 915, Barcelona School of Economics.
  • Handle: RePEc:bge:wpaper:915
    as

    Download full text from publisher

    File URL: https://www.barcelonagse.eu/sites/default/files/working_paper_pdfs/915.pdf
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. Beatty, Sharon E & Smith, Scott M, 1987. "External Search Effort: An Investigation across Several Product Categories," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 14(1), pages 83-95, June.
    2. Nenadic, Oleg & Greenacre, Michael, 2007. "Correspondence Analysis in R, with Two- and Three-dimensional Graphics: The ca Package," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 20(i03).
    3. Michael Greenacre & Rafael Pardo, 2006. "Subset Correspondence Analysis," Sociological Methods & Research, , vol. 35(2), pages 193-218, November.
    Full references (including those not matched with items on IDEAS)

    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. Michael Greenacre & Paul Lewi, 2009. "Distributional Equivalence and Subcompositional Coherence in the Analysis of Compositional Data, Contingency Tables and Ratio-Scale Measurements," Journal of Classification, Springer;The Classification Society, vol. 26(1), pages 29-54, April.
    2. Menconi, M.E. & Tasso, S. & Santinelli, M. & Grohmann, D., 2020. "A card game to renew urban parks: Face-to-face and online approach for the inclusive involvement of local community," Evaluation and Program Planning, Elsevier, vol. 79(C).
    3. Peng Cheng & Zhe Ouyang & Yang Liu, 0. "The effect of information overload on the intention of consumers to adopt electric vehicles," Transportation, Springer, vol. 0, pages 1-20.
    4. Svetlana Zhuchkova & Aleksei Rotmistrov, 2022. "How to choose an approach to handling missing categorical data: (un)expected findings from a simulated statistical experiment," Quality & Quantity: International Journal of Methodology, Springer, vol. 56(1), pages 1-22, February.
    5. Ishani Chaudhuri & Parthajit Kayal, 2022. "Predicting Power of Ticker Search Volume in Indian Stock Market," Working Papers 2022-214, Madras School of Economics,Chennai,India.
    6. Gaurav Khatwani & Gopal Das, 2016. "Evaluating combination of individual pre-purchase internet information channels using hybrid fuzzy MCDM technique: demographics as moderators," International Journal of Indian Culture and Business Management, Inderscience Enterprises Ltd, vol. 12(1), pages 28-49.
    7. Michael Greenacre, 2012. "Fuzzy coding in constrained ordinations," Economics Working Papers 1325, Department of Economics and Business, Universitat Pompeu Fabra.
    8. Yadav, Manjit S. & de Valck, Kristine & Hennig-Thurau, Thorsten & Hoffman, Donna L. & Spann, Martin, 2013. "Social Commerce: A Contingency Framework for Assessing Marketing Potential," Journal of Interactive Marketing, Elsevier, vol. 27(4), pages 311-323.
    9. Songhong Chen & Jian Ming Luo, 2023. "Understand Delegates Risk Attitudes and Behaviour: The Moderating Effect of Trust in COVID-19 Vaccination," IJERPH, MDPI, vol. 20(5), pages 1-18, February.
    10. Namwoon Kim & Jin K. Han & Rajendra K. Srivastava, 2002. "A Dynamic IT Adoption Model for the SOHO Market: PC Generational Decisions with Technological Expectations," Management Science, INFORMS, vol. 48(2), pages 222-240, February.
    11. Claudia Seabra & Luis Filipe Lages & Jose Luis Abrantes, 2003. "The infosource scale: a measure to assess the importance of external tourism information sources," Nova SBE Working Paper Series wp440, Universidade Nova de Lisboa, Nova School of Business and Economics.
    12. Nayum, Alim & Klöckner, Christian A. & Prugsamatz, Sunita, 2013. "Influences of car type class and carbon dioxide emission levels on purchases of new cars: A retrospective analysis of car purchases in Norway," Transportation Research Part A: Policy and Practice, Elsevier, vol. 48(C), pages 96-108.
    13. Richards, Greg & van der Ark, L. Andries, 2013. "Dimensions of cultural consumption among tourists: Multiple correspondence analysis," Tourism Management, Elsevier, vol. 37(C), pages 71-76.
    14. Michael Greenacre, 2008. "Correspondence analysis of raw data," Economics Working Papers 1112, Department of Economics and Business, Universitat Pompeu Fabra, revised Jul 2009.
    15. Blasius, Jörg & Eilers, Paul H.C. & Gower, John, 2009. "Better biplots," Computational Statistics & Data Analysis, Elsevier, vol. 53(8), pages 3145-3158, June.
    16. Bastos, Wilson, 2020. "“Speaking of Purchases”: How Conversational Potential Determines Consumers' Willingness to Exert Effort for Experiential Versus Material Purchases," Journal of Interactive Marketing, Elsevier, vol. 50(C), pages 1-16.
    17. Bramh Dev Sharma, 2014. "Residential Estate Valuation Index (REVI): A Consumer Perspective," Management and Labour Studies, XLRI Jamshedpur, School of Business Management & Human Resources, vol. 39(3), pages 365-380, August.
    18. M. L. M. Souza & R. R. Bastos & M. D. T. Vieira, 2022. "Calculating weighted scores from a multiple correspondence analysis solution," Quality & Quantity: International Journal of Methodology, Springer, vol. 56(6), pages 4841-4854, December.
    19. repec:cup:judgdm:v:6:y:2011:i:4:p:307-313 is not listed on IDEAS
    20. Hélia Gonçalves Pereira & Maria Fátima Salgueiro & Paulo Rita, 2017. "Online determinants of e-customer satisfaction: application to website purchases in tourism," Service Business, Springer;Pan-Pacific Business Association, vol. 11(2), pages 375-403, June.
    21. Davies, Antony & Cline, Thomas W., 2005. "A consumer behavior approach to modeling monopolistic competition," Journal of Economic Psychology, Elsevier, vol. 26(6), pages 797-826, December.

    More about this item

    Keywords

    cross-cultural; information search; European Union; Economic development; national culture; tourism.;
    All these keywords.

    JEL classification:

    • Z32 - Other Special Topics - - Tourism Economics - - - Tourism and Development
    • C19 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Other
    • C38 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Classification Methdos; Cluster Analysis; Principal Components; Factor Analysis
    • C55 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Large Data Sets: Modeling and Analysis

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:bge:wpaper:915. 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: Bruno Guallar (email available below). General contact details of provider: https://edirc.repec.org/data/bargses.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.