IDEAS home Printed from https://ideas.repec.org/a/vrs/quageo/v35y2016i3p15-29n2.html
   My bibliography  Save this article

Assessing the Level of Popularity of European Stag Tourism Destinations

Author

Listed:
  • Iwanicki Grzegorz

    (Department of Regional Geography and Tourism, Maria Curie Sklodowska University, Lublin, Poland)

  • Dłużewska Anna

    (Department of Regional Geography and Tourism, Maria Curie Sklodowska University, Lublin, Poland)

  • Kay Melanie Smith

    (School of Tourism, Leisure and Hospitality, Budapest Metropolitan University, Budapest, Hungary)

Abstract

The primary objective of this article is to determine the degree of popularity of stag tourism destinations in Europe. Research was based on the search engine method, involving an analysis of the highest positioned offers of travel agencies in the most commonly used search engines in Europe (Google, Bing, Yahoo). The analysis divided the studied cities into four categories in terms of popularity. Conducting the said analysis is strongly justified, because academic publications have so far not provided studies which have determined the degree of popularity of stag destinations on a continental scale.

Suggested Citation

  • Iwanicki Grzegorz & Dłużewska Anna & Kay Melanie Smith, 2016. "Assessing the Level of Popularity of European Stag Tourism Destinations," Quaestiones Geographicae, Sciendo, vol. 35(3), pages 15-29, September.
    • Handle: RePEc:vrs:quageo:v:35:y:2016:i:3:p:15-29:n:2
    DOI: 10.1515/quageo-2016-0023
    as

    Download full text from publisher

    File URL: https://doi.org/10.1515/quageo-2016-0023
    Download Restriction: no
    File URL: https://libkey.io/10.1515/quageo-2016-0023?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. Gandal, Neil, 2001. "The dynamics of competition in the internet search engine market," International Journal of Industrial Organization, Elsevier, vol. 19(7), pages 1103-1117, July.
    2. Bernard J. Jansen & Udo Pooch, 2001. "A review of Web searching studies and a framework for future research," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 52(3), pages 235-246.
    3. Juan Feng & Hemant K. Bhargava & David M. Pennock, 2007. "Implementing Sponsored Search in Web Search Engines: Computational Evaluation of Alternative Mechanisms," INFORMS Journal on Computing, INFORMS, vol. 19(1), pages 137-148, February.
    4. Anindya Ghose & Panagiotis G. Ipeirotis & Beibei Li, 2014. "Examining the Impact of Ranking on Consumer Behavior and Search Engine Revenue," Management Science, INFORMS, vol. 60(7), pages 1632-1654, July.
    5. Grigolon, Anna B. & Kemperman, Astrid D.A.M. & Timmermans, Harry J.P., 2012. "The influence of low-fare airlines on vacation choices of students: Results of a stated portfolio choice experiment," Tourism Management, Elsevier, vol. 33(5), pages 1174-1184.
    6. Atae Rezaei Aghdam & Mostafa Kamalpour & Alex Tze Hiang Sim, 2014. "Knowledge Discovery for Tourism Using Data Mining and Qualitative Analysis: A Case Study at Johor Bahru, Malaysia," International Journal of Asian Business and Information Management (IJABIM), IGI Global, vol. 5(4), pages 48-59, October.
    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. Iwanicki Grzegorz & Dłużewska Anna, 2020. "Urban party zones and their changes in former communist countries on the example of Polish cities," Bulletin of Geography. Socio-economic Series, Sciendo, vol. 49(49), pages 65-80, September.
    2. Monika Murzyn-Kupisz & Dominika Hołuj, 2020. "Museums and Coping with Overtourism," Sustainability, MDPI, vol. 12(5), pages 1-23, March.

    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. Pan, Bing, 2015. "The power of search engine ranking for tourist destinations," Tourism Management, Elsevier, vol. 47(C), pages 79-87.
    2. Thomas A. Weber & Zhiqiang (Eric) Zheng, 2007. "A Model of Search Intermediaries and Paid Referrals," Information Systems Research, INFORMS, vol. 18(4), pages 414-436, December.
    3. Abou Nabout, Nadia & Skiera, Bernd, 2012. "Return on Quality Improvements in Search Engine Marketing," Journal of Interactive Marketing, Elsevier, vol. 26(3), pages 141-154.
    4. Babur De los Santos & Sergei Koulayev, 2017. "Optimizing Click-Through in Online Rankings with Endogenous Search Refinement," Marketing Science, INFORMS, vol. 36(4), pages 542-564, July.
    5. Carattini, Stefano & Gillingham, Kenneth & Meng, Xiangyu & Yoeli, Erez, 2024. "Peer-to-peer solar and social rewards: Evidence from a field experiment," Journal of Economic Behavior & Organization, Elsevier, vol. 219(C), pages 340-370.
    6. Doris Chenguang Wu & Shiteng Zhong & Richard T R Qiu & Ji Wu, 2022. "Are customer reviews just reviews? Hotel forecasting using sentiment analysis," Tourism Economics, , vol. 28(3), pages 795-816, May.
    7. Ajzenman, Nicolás & Elacqua, Gregory & Marotta, Luana & Westh Olsen, Anne Sofie, 2021. "Order Effects and Employment Decisions: Experimental Evidence from a Nationwide Program," IDB Publications (Working Papers) 11541, Inter-American Development Bank.
    8. Allen N. Berger & Astrid A. Dick, 2007. "Entry into Banking Markets and the Early‐Mover Advantage," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 39(4), pages 775-807, June.
    9. Koo, Tay T.R. & Hossein Rashidi, Taha & Park, Jin-Woo & Wu, Cheng-Lung & Tseng, Wen-Chun, 2017. "The effect of enhanced international air access on the demand for peripheral tourism destinations: Evidence from air itinerary choice behaviour of Korean visitors to Australia," Transportation Research Part A: Policy and Practice, Elsevier, vol. 106(C), pages 116-129.
    10. Raluca M. Ursu & Qingliang Wang & Pradeep K. Chintagunta, 2020. "Search Duration," Marketing Science, INFORMS, vol. 39(5), pages 849-871, September.
    11. Wei Zhou & Zidong Wang, 2020. "Competing for Search Traffic in Query Markets: Entry Strategy, Platform Design, and Entrepreneurship," Working Papers 20-12, NET Institute.
    12. Dena Yadin & Inbal Yahav & Lior Zalmanson & Nira Munichor, 2024. "Resolving the Ethical Tension Between Creating a Civil Environment and Facilitating Free Expression Online: Comment Reordering as an Alternative to Comment Moderation," Journal of Business Ethics, Springer, vol. 192(2), pages 261-283, June.
    13. Xiangyu Gao & Stefanus Jasin & Sajjad Najafi & Huanan Zhang, 2022. "Joint Learning and Optimization for Multi-Product Pricing (and Ranking) Under a General Cascade Click Model," Management Science, INFORMS, vol. 68(10), pages 7362-7382, October.
    14. Bo Jiang & Xinya Li & Sijiang Liu & Chuanyan Hao & Gangyao Zhang & Qiaomin Lin, 2022. "Experience of Online Learning from COVID-19: Preparing for the Future of Digital Transformation in Education," IJERPH, MDPI, vol. 19(24), pages 1-18, December.
    15. Raluca M. Ursu, 2018. "The Power of Rankings: Quantifying the Effect of Rankings on Online Consumer Search and Purchase Decisions," Marketing Science, INFORMS, vol. 37(4), pages 530-552, August.
    16. Long Wen & Chang Liu & Haiyan Song, 2019. "Forecasting tourism demand using search query data: A hybrid modelling approach," Tourism Economics, , vol. 25(3), pages 309-329, May.
    17. Giovanni Compiani & Gregory Lewis & Sida Peng & Peichun Wang, 2024. "Online Search and Optimal Product Rankings: An Empirical Framework," Marketing Science, INFORMS, vol. 43(3), pages 615-636, May.
    18. Rafael P. Greminger, 2022. "Optimal Search and Discovery," Management Science, INFORMS, vol. 68(5), pages 3904-3924, May.
    19. Zhang, Yi & Chen, Kaihua, 2022. "Network growth dynamics: The simultaneous interaction between network positions and research performance of collaborative organisations," Technovation, Elsevier, vol. 115(C).
    20. Yuxin Chen & Song Yao, 2017. "Sequential Search with Refinement: Model and Application with Click-Stream Data," Management Science, INFORMS, vol. 63(12), pages 4345-4365, December.

    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:quageo:v:35:y:2016:i:3:p:15-29:n:2. 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.