IDEAS home Printed from https://ideas.repec.org/a/zbw/hsgmrs/276038.html
   My bibliography  Save this article

Influence of Marketing Instruments on Consumer Behavior in the Process of Purchasing Leisure Flight Tickets

Author

Listed:
  • Klein, Maximilian Michael
  • Linden, Erik
  • Wittmer, Andreas

Abstract

This paper reflects on the influence of different marketing instruments as determinants in the process of purchasing leisure flight tickets. Based on an adaptive choice-based conjoint analysis, the authors examined the perceived importance of 39 instruments. As a result, our research identifies four different instrument categories that shape the consumer's decision to different extents. This study helps airline managers to use marketing instruments that positively influence consumers in their process of purchasing leisure flight tickets.

Suggested Citation

  • Klein, Maximilian Michael & Linden, Erik & Wittmer, Andreas, 2019. "Influence of Marketing Instruments on Consumer Behavior in the Process of Purchasing Leisure Flight Tickets," Marketing Review St.Gallen, Universität St.Gallen, Institut für Marketing und Customer Insight, vol. 36(3), pages 30-38.
  • Handle: RePEc:zbw:hsgmrs:276038
    as

    Download full text from publisher

    File URL: https://www.econstor.eu/bitstream/10419/276038/1/MRSG_2019_3_30-38.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Andreas Wittmer & Thomas Bieger, 2011. "Marketing in Aviation," Springer Texts in Business and Economics, in: Andreas Wittmer & Thomas Bieger & Roland Müller (ed.), Aviation Systems, chapter 0, pages 135-155, Springer.
    2. Vithala R. Rao, 2014. "Applied Conjoint Analysis," Springer Books, Springer, edition 127, number 978-3-540-87753-0, December.
    3. Balcombe, Kelvin & Fraser, Iain & Harris, Liam, 2009. "Consumer willingness to pay for in-flight service and comfort levels: A choice experiment," Journal of Air Transport Management, Elsevier, vol. 15(5), pages 221-226.
    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. Wen, Chieh-Hua & Huang, Chia-Jung & Fu, Chiang, 2020. "Incorporating continuous representation of preferences for flight departure times into stated itinerary choice modeling," Transport Policy, Elsevier, vol. 98(C), pages 10-20.
    2. Bodo Herzog, 2018. "Valuation of Digital Platforms: Experimental Evidence for Google and Facebook," IJFS, MDPI, vol. 6(4), pages 1-13, October.
    3. James Agarwal & Wayne DeSarbo & Naresh K. Malhotra & Vithala Rao, 2015. "An Interdisciplinary Review of Research in Conjoint Analysis: Recent Developments and Directions for Future Research," Customer Needs and Solutions, Springer;Institute for Sustainable Innovation and Growth (iSIG), vol. 2(1), pages 19-40, March.
    4. Mengelkamp, Esther & Schönland, Thomas & Huber, Julian & Weinhardt, Christof, 2019. "The value of local electricity - A choice experiment among German residential customers," Energy Policy, Elsevier, vol. 130(C), pages 294-303.
    5. Maksim Godovykh, 2024. "Hospitality Art Experience Model: The Effects of Visual Art on Guests’ Attitudes and Behavior," Tourism and Hospitality, MDPI, vol. 5(2), pages 1-9, May.
    6. Christian P Theurer & Andranik Tumasjan & Isabell M Welpe, 2018. "Contextual work design and employee innovative work behavior: When does autonomy matter?," PLOS ONE, Public Library of Science, vol. 13(10), pages 1-35, October.
    7. 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.
    8. Anoek Castelein & Dennis Fok & Richard Paap, 2020. "A multinomial and rank-ordered logit model with inter- and intra-individual heteroscedasticity," Tinbergen Institute Discussion Papers 20-069/III, Tinbergen Institute.
    9. Xiang Wu & Bin Hu & Jie Xiong, 2020. "Understanding Heterogeneous Consumer Preferences in Chinese Milk Markets: A Latent Class Approach," Post-Print hal-02489646, HAL.
    10. Isihara, Paul & Shi, Chaojun & Ward, Jonathan & O'Malley, Leo & Laney, Skyler & Diedrichs, Danilo & Flores, Gabriel, 2020. "Identifying most typical and most ideal attribute levels in small populations of expert decision makers: Studying the Go/No Go decision of disaster relief organizations," Journal of choice modelling, Elsevier, vol. 35(C).
    11. Poulissen, Davey & de Grip, Andries & Fouarge, Didier & Künn-Nelen, Annemarie, 2021. "Employers' Willingness to Invest in the Training of Temporary Workers: A Discrete Choice Experiment," IZA Discussion Papers 14395, Institute of Labor Economics (IZA).
    12. Hein, Maren & Goeken, Nils & Kurz, Peter & Steiner, Winfried J., 2022. "Using Hierarchical Bayes draws for improving shares of choice predictions in conjoint simulations: A study based on conjoint choice data," European Journal of Operational Research, Elsevier, vol. 297(2), pages 630-651.
    13. Knoblauch, Theresa A.K. & Trutnevyte, Evelina & Stauffacher, Michael, 2019. "Siting deep geothermal energy: Acceptance of various risk and benefit scenarios in a Swiss-German cross-national study," Energy Policy, Elsevier, vol. 128(C), pages 807-816.
    14. Jun Hwan Kim & Hyun Cheol Lee, 2019. "Understanding the Repurchase Intention of Premium Economy Passengers Using an Extended Theory of Planned Behavior," Sustainability, MDPI, vol. 11(11), pages 1-19, June.
    15. Basem Al-Omari & Joviana Farhat & Mujahed Shraim, 2023. "The Role of Web-Based Adaptive Choice-Based Conjoint Analysis Technology in Eliciting Patients’ Preferences for Osteoarthritis Treatment," IJERPH, MDPI, vol. 20(4), pages 1-15, February.
    16. Sunghi An & Daisik Nam & R. Jayakrishnan & Soongbong Lee & Michael G. McNally, 2021. "A Study of the Factors Affecting Multimodal Ridesharing with Choice-Based Conjoint Analysis," Sustainability, MDPI, vol. 13(20), pages 1-14, October.
    17. Carsten Herbes & Johannes Dahlin & Peter Kurz, 2020. "Consumer Willingness To Pay for Proenvironmental Attributes of Biogas Digestate-Based Potting Soil," Sustainability, MDPI, vol. 12(16), pages 1-19, August.
    18. Tsai, Tsung-Hsien, 2016. "Homogeneous service with heterogeneous products: Relationships among airline ticket fares and purchase fences," Journal of Air Transport Management, Elsevier, vol. 55(C), pages 164-175.
    19. Paolo Mariani & Andrea Marletta & Mauro Mussini & Mariangela Zenga, 2021. "Professional Profiles and Job Requirements in Labour Demand: An Analysis of the Italian Information Technology Sector," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 156(2), pages 651-667, August.
    20. Yegoryan, Narine & Guhl, Daniel & Klapper, Daniel, 2018. "Inferring Attribute Non-Attendance Using Eye Tracking in Choice-Based Conjoint Analysis," Rationality and Competition Discussion Paper Series 111, CRC TRR 190 Rationality and Competition.

    More about this item

    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:hsgmrs:276038. 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://imc.unisg.ch/ .

    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.