IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v14y2022i18p11225-d909279.html
   My bibliography  Save this article

Airlines’ Sustainability Study Based on Search Engine Optimization Techniques and Technologies

Author

Listed:
  • Konstantinos I. Roumeliotis

    (Department of Informatics and Telecommunications, University of Peloponnese, Akadimaikou G. K. Vlachou Street, 221 31 Tripoli, Greece)

  • Nikolaos D. Tselikas

    (Department of Informatics and Telecommunications, University of Peloponnese, Akadimaikou G. K. Vlachou Street, 221 31 Tripoli, Greece)

  • Dimitrios K. Nasiopoulos

    (Department of Agribusiness and Supply Chain Management, School of Applied Economics and Social Sciences, Agricultural University of Athens, 118 55 Athens, Greece)

Abstract

Digital marketing, especially search engine optimization (SEO), is an integral part of websites today. Airlines in the COVID-19 era have to use every possible means to survive despite the adverse conditions for both entrepreneurship and travel. Many of them have allocated resources and money to develop SEO strategies by applying SEO techniques to their websites to gain more visitors and bookings. Thus, this research is focused on analyzing airlines’ website presence as regards the implemented SEO techniques and their effect on airlines’ website traffic. In the first phase of the research, we gathered web data from 243 airline firms during a one-year observation period (December 2020–December 2021) using our own-developed tool. Furthermore, we proceeded to create an exploratory model using fuzzy cognitive mapping. From the technical SEO point of view and the descriptive analysis, we conclude that the traffic on airlines’ websites and, consequently, their sustainability are inseparably linked to the corresponding SEO techniques and technologies used.

Suggested Citation

  • Konstantinos I. Roumeliotis & Nikolaos D. Tselikas & Dimitrios K. Nasiopoulos, 2022. "Airlines’ Sustainability Study Based on Search Engine Optimization Techniques and Technologies," Sustainability, MDPI, vol. 14(18), pages 1-23, September.
    • Handle: RePEc:gam:jsusta:v:14:y:2022:i:18:p:11225-:d:909279
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/14/18/11225/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/14/18/11225/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. José Ramón Saura & Pedro Palos-Sánchez & Luis Manuel Cerdá Suárez, 2017. "Understanding the Digital Marketing Environment with KPIs and Web Analytics," Future Internet, MDPI, vol. 9(4), pages 1-13, November.
    2. Damianos P. Sakas & Nikolaos Th. Giannakopoulos, 2021. "Harvesting Crowdsourcing Platforms’ Traffic in Favour of Air Forwarders’ Brand Name and Sustainability," Sustainability, MDPI, vol. 13(15), pages 1-25, July.
    3. Goran Matošević & Jasminka Dobša & Dunja Mladenić, 2021. "Using Machine Learning for Web Page Classification in Search Engine Optimization," Future Internet, MDPI, vol. 13(1), pages 1-20, January.
    4. Cristòfol Rovira & Lluís Codina & Carlos Lopezosa, 2021. "Language Bias in the Google Scholar Ranking Algorithm," Future Internet, MDPI, vol. 13(2), pages 1-17, January.
    5. Christos Ziakis & Maro Vlachopoulou & Theodosios Kyrkoudis & Makrina Karagkiozidou, 2019. "Important Factors for Improving Google Search Rank," Future Internet, MDPI, vol. 11(2), pages 1-12, January.
    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. Mariusz Duka & Marek Sikora & Artur Strzelecki, 2023. "From Web Catalogs to Google: A Retrospective Study of Web Search Engines Sustainable Development," Sustainability, MDPI, vol. 15(8), pages 1-16, April.

    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. Ponzoa, José M. & Gómez, Andrés & Mas, José M., 2023. "EU27 and USA institutions in the digital ecosystem: Proposal for a digital presence measurement index," Journal of Business Research, Elsevier, vol. 154(C).
    2. Despina S. Giakomidou & Athanasios Kriemadis & Dimitrios K. Nasiopoulos & Dimitrios Mastrakoulis, 2022. "Re-Engineering of Marketing for SMEs in Energy Market through Modeling Customers’ Strategic Behavior," Energies, MDPI, vol. 15(21), pages 1-20, November.
    3. Damianos P. Sakas & Ioannis Dimitrios G. Kamperos & Dimitrios P. Reklitis & Nikolaos T. Giannakopoulos & Dimitrios K. Nasiopoulos & Marina C. Terzi & Nikos Kanellos, 2022. "The Effectiveness of Centralized Payment Network Advertisements on Digital Branding during the COVID-19 Crisis," Sustainability, MDPI, vol. 14(6), pages 1-23, March.
    4. Alessandro Massaro & Daniele Giannone & Vitangelo Birardi & Angelo Maurizio Galiano, 2021. "An Innovative Approach for the Evaluation of the Web Page Impact Combining User Experience and Neural Network Score," Future Internet, MDPI, vol. 13(6), pages 1-21, May.
    5. Damianos P. Sakas & Nikolaos T. Giannakopoulos & Dimitrios K. Nasiopoulos & Nikos Kanellos & Giannis T. Tsoulfas, 2023. "Assessing the Efficacy of Cryptocurrency Applications’ Affiliate Marketing Process on Supply Chain Firms’ Website Visibility," Sustainability, MDPI, vol. 15(9), pages 1-21, April.
    6. Krzysztof BORODAKO & Jadwiga BERBEKA & Michał RUDNICKI & Mariusz ŠAPCZYŃSKI, 2021. "Online Visibility and Knowledge-Intensive Business Services Performance: The Scope of Interrelatedness," Journal of Emerging Trends in Marketing and Management, The Bucharest University of Economic Studies, vol. 1(1), pages 157-173, August.
    7. Edisa Lozić & Benjamin Štular, 2023. "Fluent but Not Factual: A Comparative Analysis of ChatGPT and Other AI Chatbots’ Proficiency and Originality in Scientific Writing for Humanities," Future Internet, MDPI, vol. 15(10), pages 1-26, October.
    8. Artur Strzelecki, 2020. "Google Medical Update: Why Is the Search Engine Decreasing Visibility of Health and Medical Information Websites?," IJERPH, MDPI, vol. 17(4), pages 1-13, February.
    9. Zahra Ghorbani & Sanaz Kargaran & Ali Saberi & Manijeh Haghighinasab & Seyedh Mahboobeh Jamali & Nader Ale Ebrahim, 2022. "Trends and patterns in digital marketing research: bibliometric analysis," Journal of Marketing Analytics, Palgrave Macmillan, vol. 10(2), pages 158-172, June.
    10. Nikos Kanellos & Panagiotis Karountzos & Nikolaos T. Giannakopoulos & Marina C. Terzi & Damianos P. Sakas, 2024. "Digital Marketing Strategies and Profitability in the Agri-Food Industry: Resource Efficiency and Value Chains," Sustainability, MDPI, vol. 16(14), pages 1-25, July.
    11. Andreas Veglis & Dimitrios Giomelakis, 2019. "Search Engine Optimization," Future Internet, MDPI, vol. 12(1), pages 1-2, December.
    12. Damianos P. Sakas & Nikolaos Th. Giannakopoulos, 2021. "Harvesting Crowdsourcing Platforms’ Traffic in Favour of Air Forwarders’ Brand Name and Sustainability," Sustainability, MDPI, vol. 13(15), pages 1-25, July.
    13. Borker, Girija, 2024. "Understanding the constraints to women’s use of urban public transport in developing countries," World Development, Elsevier, vol. 180(C).
    14. Cristòfol Rovira & Lluís Codina & Frederic Guerrero-Solé & Carlos Lopezosa, 2019. "Ranking by Relevance and Citation Counts, a Comparative Study: Google Scholar, Microsoft Academic, WoS and Scopus," Future Internet, MDPI, vol. 11(9), pages 1-21, September.
    15. Cristòfol Rovira & Lluís Codina & Carlos Lopezosa, 2021. "Language Bias in the Google Scholar Ranking Algorithm," Future Internet, MDPI, vol. 13(2), pages 1-17, January.
    16. Damianos P. Sakas & Dimitrios P. Reklitis, 2021. "The Impact of Organic Traffic of Crowdsourcing Platforms on Airlines’ Website Traffic and User Engagement," Sustainability, MDPI, vol. 13(16), pages 1-22, August.
    17. Juan José López García & David Lizcano & Celia MQ Ramos & Nelson Matos, 2019. "Digital Marketing Actions That Achieve a Better Attraction and Loyalty of Users: An Analytical Study," Future Internet, MDPI, vol. 11(6), pages 1-16, June.
    18. Elvira Vieira & Daniela Silva & Victor Tavares, 0000. "Relevance of Digital Marketing for the Performance of Small and Medium-sized Enterprises: The Case of the Portuguese Footwear Sector," Proceedings of Economics and Finance Conferences 14316278, International Institute of Social and Economic Sciences.
    19. Goran Matošević & Jasminka Dobša & Dunja Mladenić, 2021. "Using Machine Learning for Web Page Classification in Search Engine Optimization," Future Internet, MDPI, vol. 13(1), pages 1-20, January.
    20. Dimitrios Giomelakis & Christina Karypidou & Andreas Veglis, 2019. "SEO inside Newsrooms: Reports from the Field," Future Internet, MDPI, vol. 11(12), pages 1-15, 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:gam:jsusta:v:14:y:2022:i:18:p:11225-:d:909279. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.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.