IDEAS home Printed from https://ideas.repec.org/a/vrs/touris/v29y2019i1p63-70n7.html
   My bibliography  Save this article

Unique Elements of Polish City Brands in Online Reviews

Author

Listed:
  • Nowacki Marek

    (WSB University in PoznanFaculty of Finance and Banking Department of Socio-Economics)

Abstract

The aim of the paper is to identify unique elements of the brands of Polish cities and to identify similarities and differences between them. The work attempts to answer the following research questions: Which elements significantly differentiate the brands of studied cities in online reviews? and Which of the studied cities are the most similar in terms of brand elements and which differ in this regard. The data for analysis was obtained from TripAdvisor. Reviews about areas of tourist concentration – old markets or old towns – from five Polish cities: Poznań, Wrocław, Kraków, Gdańsk and Warsaw were analysed (N = 5125). The research shows that Gdańsk and Warsaw as well as Poznań and Wrocław have the most similar brand elements. The Kraków brand is the more unique in relation to other cities.

Suggested Citation

  • Nowacki Marek, 2019. "Unique Elements of Polish City Brands in Online Reviews," Turyzm / Tourism, Sciendo, vol. 29(1), pages 63-70, June.
    • Handle: RePEc:vrs:touris:v:29:y:2019:i:1:p:63-70:n:7
    DOI: 10.2478/tour-2019-0007
    as

    Download full text from publisher

    File URL: https://doi.org/10.2478/tour-2019-0007
    Download Restriction: no
    File URL: https://libkey.io/10.2478/tour-2019-0007?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. M. O. Hill, 1974. "Correspondence Analysis: A Neglected Multivariate Method," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 23(3), pages 340-354, 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. Diane Duffy & adolfo Quiroz, 1991. "A permutation-based algorithm for block clustering," Journal of Classification, Springer;The Classification Society, vol. 8(1), pages 65-91, January.
    2. Blasius, J. & Greenacre, M. & Groenen, P.J.F. & van de Velden, M., 2009. "Special issue on correspondence analysis and related methods," Computational Statistics & Data Analysis, Elsevier, vol. 53(8), pages 3103-3106, June.
    3. Dawn Iacobucci & Doug Grisaffe, 2018. "Perceptual maps via enhanced correspondence analysis: representing confidence regions to clarify brand positions," Journal of Marketing Analytics, Palgrave Macmillan, vol. 6(3), pages 72-83, September.
    4. Jens Dangschat & Jorg Blasius, 1987. "Social and Spatial Disparities in Warsaw in 1978: An Application of Correspondence Analysis to a 'Socialist' City," Urban Studies, Urban Studies Journal Limited, vol. 24(3), pages 173-191, June.
    5. Shuangshuang Liu & Qipeng Liao & Mingzhu Xiao & Dengyue Zhao & Chunbo Huang, 2022. "Spatial and Temporal Variations of Habitat Quality and Its Response of Landscape Dynamic in the Three Gorges Reservoir Area, China," IJERPH, MDPI, vol. 19(6), pages 1-20, March.
    6. Michael Greenacre, 2006. "Tying up the loose ends in simple correspondence analysis," Economics Working Papers 940, Department of Economics and Business, Universitat Pompeu Fabra.
    7. Jinding Xing & Kunhui Ye & Jian Zuo & Weiyan Jiang, 2018. "Control Dust Pollution on Construction Sites: What Governments Do in China?," Sustainability, MDPI, vol. 10(8), pages 1-17, August.
    8. Hui, Francis K.C., 2017. "Model-based simultaneous clustering and ordination of multivariate abundance data in ecology," Computational Statistics & Data Analysis, Elsevier, vol. 105(C), pages 1-10.
    9. Alexis Conides & Costantinos Bogdanos & Aristidis Diapoulis, 1998. "Seasonal ecological variations of phyto- and zoobenthic communities in the south of Nisyros Island, Greece," Environment Systems and Decisions, Springer, vol. 19(2), pages 109-127, June.
    10. Konrad Żukiewicz & Agnieszka Dudziak & Tomasz Słowik & Jacek Mazur & Patrycja Łusiak, 2022. "Analysis of the Problem of Waste in Relation to Food Consumers," Sustainability, MDPI, vol. 14(18), pages 1-20, September.
    11. Francois Bonnieux & Pierre Dupraz, 1998. "Multi criteria analysis of CPs," Post-Print hal-01600139, HAL.
    12. O. Holuša, 2007. "Composition of psocid taxocenoses (Insecta: Psocoptera) in Fageti-Piceeta s. lat. and Piceeta s. lat. forests in the Western Carpathian Mts," Journal of Forest Science, Czech Academy of Agricultural Sciences, vol. 53(SpecialIs), pages 3-10.
    13. Grothe Oliver & Rieger Jonas, 2024. "Decomposition and graphical correspondence analysis of checkerboard copulas," Dependence Modeling, De Gruyter, vol. 12(1), pages 1-31.
    14. Boglárka Németh & Károly Németh & Jon N. Procter, 2021. "Informed Geoheritage Conservation: Determinant Analysis Based on Bibliometric and Sustainability Indicators Using Ordination Techniques," Land, MDPI, vol. 10(5), pages 1-31, May.
    15. Frank Neffke & Angelica Sbardella & Ulrich Schetter & Andrea Tacchella, 2024. "Economic Complexity Analysis," Papers in Evolutionary Economic Geography (PEEG) 2430, Utrecht University, Department of Human Geography and Spatial Planning, Group Economic Geography, revised Oct 2024.
    16. Francois Bonnieux, 2005. "A consistent set of economic and social indicators for project evaluation," Post-Print hal-01594082, HAL.
    17. Kudlats, Jerry & Money, Arthur & Hair, Joseph F., 2014. "Correspondence analysis: A promising technique to interpret qualitative data in family business research," Journal of Family Business Strategy, Elsevier, vol. 5(1), pages 30-40.
    18. Polak, Marike & Heiser, Willem J. & de Rooij, Mark, 2009. "Two types of single-peaked data: Correspondence analysis as an alternative to principal component analysis," Computational Statistics & Data Analysis, Elsevier, vol. 53(8), pages 3117-3128, June.
    19. Margaret Cowell, 2010. "Polycentric Regions: Comparing Complementarity and Institutional Governance in the San Francisco Bay Area, the Randstad and Emilia-Romagna," Urban Studies, Urban Studies Journal Limited, vol. 47(5), pages 945-965, May.
    20. Hugh G Gauch Jr. & Sheng Qian & Hans-Peter Piepho & Linda Zhou & Rui Chen, 2019. "Consequences of PCA graphs, SNP codings, and PCA variants for elucidating population structure," PLOS ONE, Public Library of Science, vol. 14(6), pages 1-26, June.

    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:vrs:touris:v:29:y:2019:i:1:p:63-70:n:7. 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: Peter Golla (email available below). General contact details of provider: https://www.sciendo.com .

    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.