IDEAS home Printed from https://ideas.repec.org/h/zbw/entr19/207662.html
   My bibliography  Save this book chapter

Factors with Impact in the Assessment and Choice of Tourist Destinations

In: Proceedings of the ENTRENOVA - ENTerprise REsearch InNOVAtion Conference, Rovinj, Croatia, 12-14 September 2019

Author

Listed:
  • Sedlak, Otilija
  • Stojanović, Suzana
  • Ćirić, Zoran
  • Bobera, Dušan

Abstract

The preference disaggregation approach to the problem of multicriteria choice is to uncover the inherent model of choice that brings a decision unit to a conclusion in terms of an overall preference on the alternatives. In the context, the actual market shares of a class of competing products (alternatives) constitute a concise global variable originated in and reflecting the cumulative preferences of the consumer body, which affects the pattern of the market. This paper presents a systematic method to analyse the preference information cumulated in the actual market shares of competing products in terms of the criteria involved in the process of choice. The aim of this study is to present an entirely new approach to the problem of multicriteria choice and an application to analyse the market of tourist agency destination offer. In the paper outlines the market share analysis methodology for building an additive utility model in situations concerning attributes on which preferences behave monotonically. When contemporary information and communication technologies are included into the processes of choosing then electronic word-of-mouth (e-WOM) communication appears, while specific marketing messages are being created and transferred. The paper ends with some concluding remarks.

Suggested Citation

  • Sedlak, Otilija & Stojanović, Suzana & Ćirić, Zoran & Bobera, Dušan, 2019. "Factors with Impact in the Assessment and Choice of Tourist Destinations," Proceedings of the ENTRENOVA - ENTerprise REsearch InNOVAtion Conference (2019), Rovinj, Croatia, in: Proceedings of the ENTRENOVA - ENTerprise REsearch InNOVAtion Conference, Rovinj, Croatia, 12-14 September 2019, pages 40-49, IRENET - Society for Advancing Innovation and Research in Economy, Zagreb.
  • Handle: RePEc:zbw:entr19:207662
    as

    Download full text from publisher

    File URL: https://www.econstor.eu/bitstream/10419/207662/1/06-ENT-2019-Sedlak-et-al-40-49.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Phelps, Joseph E. & Lewis, Regina & Mobilio, Lynne & Perry, David & Raman, Niranjan, 2004. "Viral Marketing or Electronic Word-of-Mouth Advertising: Examining Consumer Responses and Motivations to Pass Along Email," Journal of Advertising Research, Cambridge University Press, vol. 44(4), pages 333-348, December.
    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. Jong Yoon Lee & Jae Hee Park & Jong Woo Jun, 2019. "Brand Webtoon as Sustainable Advertising in Korean Consumers: A Focus on Hierarchical Relationships," Sustainability, MDPI, vol. 11(5), pages 1-10, March.
    2. Jie Zhang & Yongjun Sung & Wei‐Na Lee, 2010. "To Play or Not to Play: An Exploratory Content Analysis of Branded Entertainment in Facebook," American Journal of Business, Emerald Group Publishing Limited, vol. 25(1), pages 53-64, April.
    3. Ramezani, Mohsen & Moradi, Parham & Akhlaghian, Fardin, 2014. "A pattern mining approach to enhance the accuracy of collaborative filtering in sparse data domains," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 408(C), pages 72-84.
    4. Rodriguez, Virginie & Sangle-Ferriere, Marion, 2023. "Do supermarkets’ emails have any value for their customers? The effect of emails’ content and interestingness on customers’ attitude and engagement," Journal of Retailing and Consumer Services, Elsevier, vol. 75(C).
    5. Nguyen-Phuoc, Duy Quy & Vo, Nguyen S. & Su, Diep Ngoc & Nguyen, Vinh Hoang & Oviedo-Trespalacios, Oscar, 2021. "What makes passengers continue using and talking positively about ride-hailing services? The role of the booking app and post-booking service quality," Transportation Research Part A: Policy and Practice, Elsevier, vol. 150(C), pages 367-384.
    6. Li, Feng & Du, Timon C. & Wei, Ying, 2020. "Enhancing supply chain decisions with consumers’ behavioral factors: An illustration of decoy effect," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 144(C).
    7. Xiang Zhong & Juan Zhao & Lu-Xing Yang & Xiaofan Yang & Yingbo Wu & Yuan Yan Tang, 2018. "A dynamic discount pricing strategy for viral marketing," PLOS ONE, Public Library of Science, vol. 13(12), pages 1-19, December.
    8. Bosio, Birgit & Haselwanter, Stefanie & Ceipek, Michael, 2018. "The Utilization of Social Media Marketing in Destination Management Organizations," 6th International OFEL Conference on Governance, Management and Entrepreneurship. New Business Models and Institutional Entrepreneurs: Leading Disruptive Change (Dubrovnik, 2018), in: 6th International OFEL Conference on Governance, Management and Entrepreneurship. New Business Models and Institutional Entrepreneurs: Leading Disrupt, pages 249-268, Governance Research and Development Centre (CIRU), Zagreb.
    9. Gilles Séré de Lanauze & Béatrice Siadou-Martin, 2015. "La marque 2.0: l'humilité comme condition nécessaire de la relation marque consommateur?," Post-Print hal-01697924, HAL.
    10. Kim, Juran & Kang, Seungmook & Lee, Ki Hoon, 2021. "Evolution of digital marketing communication: Bibliometric analysis and network visualization from key articles," Journal of Business Research, Elsevier, vol. 130(C), pages 552-563.
    11. Ketelaar, Paul E. & Janssen, Loes & Vergeer, Maurice & van Reijmersdal, Eva A. & Crutzen, Rik & van ‘t Riet, Jonathan, 2016. "The success of viral ads: Social and attitudinal predictors of consumer pass-on behavior on social network sites," Journal of Business Research, Elsevier, vol. 69(7), pages 2603-2613.
    12. Korgaonkar, Pradeep & Petrescu, Maria & Gironda, John, 2016. "Hispanics and viral advertising," Journal of Retailing and Consumer Services, Elsevier, vol. 32(C), pages 46-59.
    13. Roberta De Michele & Gianluca Marchi, 2018. "Influencer identification and selection on social networking sites: An analysis on Instagram," MERCATI & COMPETITIVIT?, FrancoAngeli Editore, vol. 2018(4), pages 129-153.
    14. Rishikesh Bhaiswar & N. Meenakshi & Deepak Chawla, 2021. "Evolution of Electronic Word of Mouth: A Systematic Literature Review Using Bibliometric Analysis of 20 Years (2000–2020)," FIIB Business Review, , vol. 10(3), pages 215-231, September.
    15. Izabela Kolaszewska & Agnieszka Kacprzak, 2022. "The Attitude of Children and Parents Towards Children Influencers," Journal of Marketing and Consumer Behaviour in Emerging Markets, University of Warsaw, Faculty of Management, vol. 2(15), pages 4-23.
    16. Abeer A. Mahrous & Rania S. Hussein, 2012. "Levels Of Facebook Use: Evidence From Egypt," International Journal of Management and Marketing Research, The Institute for Business and Finance Research, vol. 5(3), pages 43-55.
    17. Foued Sabbagh, 2021. "Email Marketing: The Most Important Advantages and Disadvantages," Business, Management and Economics Research, Academic Research Publishing Group, vol. 7(1), pages 1-8, 03-2021.
    18. Roma, Paolo & Aloini, Davide, 2019. "How does brand-related user-generated content differ across social media? Evidence reloaded," Journal of Business Research, Elsevier, vol. 96(C), pages 322-339.
    19. Hayes, Jameson L. & King, Karen Whitehill & Ramirez, Artemio, 2016. "Brands, Friends, & Viral Advertising: A Social Exchange Perspective on the Ad Referral Processes," Journal of Interactive Marketing, Elsevier, vol. 36(C), pages 31-45.
    20. Pescher, Christian & Reichhart, Philipp & Spann, Martin, 2014. "Consumer Decision-making Processes in Mobile Viral Marketing Campaigns," Journal of Interactive Marketing, Elsevier, vol. 28(1), pages 43-54.

    More about this item

    Keywords

    multicriteria decision making; tourist destinations; digitalisation; quantitative methods;
    All these keywords.

    JEL classification:

    • C00 - Mathematical and Quantitative Methods - - General - - - General
    • Z32 - Other Special Topics - - Tourism Economics - - - Tourism and Development
    • O31 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Innovation and Invention: Processes and Incentives
    • M15 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Business Administration - - - IT Management

    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:zbw:entr19:207662. 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: ZBW - Leibniz Information Centre for Economics (email available below). General contact details of provider: https://www.entrenova.org/ .

    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.