IDEAS home Printed from https://ideas.repec.org/a/mig/tmjrnl/v6y2018i2p79-100.html
   My bibliography  Save this article

Understanding determinants of illegal e-book downloading behaviour in the UK and Germany

Author

Listed:
  • Oliver Jonas

    (fischerAppelt advisors, Munich , Germany)

  • Ibrahim Sirkeci

    (Regent's University London, United Kingdom)

Abstract

With the success of e-books in the last decade, e-book piracy has become increasingly prevalent. This is a significant threat to the publishing industry, publishers and authors alike. Despite efforts to inhibit illegal downloading of e-book files, unauthorized download platforms have not lost much popularity. One of the underlying problems is a limited understanding of the determinants that drive consumers in their choice between legal and illegal download options. This article identifies and critically evaluates the key product attributes in the decision-making process of consumers downloading e-books from legal and illegal sources. By providing consumer insights, the publishing industry and e-book sellers can be guided to meet consumer demand better and design marketing plans to attract consumers towards legal download sources and discourage e-book piracy. The consumer choice between legal and illegal e-book download platforms is analysed using the multi-attribute theory for consumer decision making. 23 attributes were tested using an online questionnaire and analysed by logistic regression. Three attributes were found to be significant in determining the choice of download platforms: A low perception of the importance of copyright compliance, dissatisfaction with the security of download platforms and dissatisfaction with e-book prices in online stores.

Suggested Citation

  • Oliver Jonas & Ibrahim Sirkeci, 2018. "Understanding determinants of illegal e-book downloading behaviour in the UK and Germany," Transnational Marketing Journal, Oxbridge Publishing House, UK, vol. 6(2), pages 79-100, October.
    • Handle: RePEc:mig:tmjrnl:v:6:y:2018:i:2:p:79-100
    DOI: https://doi.org/10.33182/tmj.v6i2.595
    as

    Download full text from publisher

    File URL: https://journals.tplondon.com/index.php/tmj/article/view/595/558
    Download Restriction: no
    File URL: https://libkey.io/https://doi.org/10.33182/tmj.v6i2.595?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. Hoyer, Wayne D, 1984. "An Examination of Consumer Decision Making for a Common Repeat Purchase Product," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 11(3), pages 822-829, December.
    2. Bettman, James R & Luce, Mary Frances & Payne, John W, 1998. "Constructive Consumer Choice Processes," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 25(3), pages 187-217, December.
    3. Bettman, James R & Capon, Noel & Lutz, Richard J, 1975. "Multiattribute Measurement Models and Multiattribute Attitude Theory: A Test of Construct Validity," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 1(4), pages 1-15, March.
    4. Gerald Häubl & Valerie Trifts, 2000. "Consumer Decision Making in Online Shopping Environments: The Effects of Interactive Decision Aids," Marketing Science, INFORMS, vol. 19(1), pages 4-21, May.
    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. Christina Schamp & Mark Heitmann & Robin Katzenstein, 2019. "Consideration of ethical attributes along the consumer decision-making journey," Journal of the Academy of Marketing Science, Springer, vol. 47(2), pages 328-348, March.
    2. Mark Heitmann & Andreas Herrmann, 2007. "Die Zufriedenheit mit dem Entscheidungsprozess als Determinante der Kundenbindung," Schmalenbach Journal of Business Research, Springer, vol. 59(5), pages 530-566, August.
    3. Shuk Ying Ho & David Bodoff & Kar Yan Tam, 2011. "Timing of Adaptive Web Personalization and Its Effects on Online Consumer Behavior," Information Systems Research, INFORMS, vol. 22(3), pages 660-679, September.
    4. Shiri Melumad & Rhonda Hadi & Christian Hildebrand & Adrian F. Ward, 2020. "Technology-Augmented Choice: How Digital Innovations Are Transforming Consumer Decision Processes," Customer Needs and Solutions, Springer;Institute for Sustainable Innovation and Growth (iSIG), vol. 7(3), pages 90-101, October.
    5. Chattaraman, Veena & Kwon, Wi-Suk & Ross, Kassandra & Sung, Jihyun & Alikhademi, Kiana & Richardson, Brianna & Gilbert, Juan E., 2024. "‘Smart’ Choice? Evaluating AI-Based mobile decision bots for in-store decision-making," Journal of Business Research, Elsevier, vol. 183(C).
    6. Yukinori Iwata, 2018. "Salience and limited attention," Social Choice and Welfare, Springer;The Society for Social Choice and Welfare, vol. 50(1), pages 123-146, January.
    7. Murray, Kyle B. & Häubl, Gerald, 2009. "Personalization without Interrogation: Towards more Effective Interactions between Consumers and Feature-Based Recommendation Agents," Journal of Interactive Marketing, Elsevier, vol. 23(2), pages 138-146.
    8. Nordfält, Jens & Lange, Fredrik, 2013. "In-store demonstrations as a promotion tool," Journal of Retailing and Consumer Services, Elsevier, vol. 20(1), pages 20-25.
    9. Sebastian Lehmann, 2014. "Toward an Understanding of the BDM: Predictive Validity, Gambling Effects, and Risk Attitude," FEMM Working Papers 150001, Otto-von-Guericke University Magdeburg, Faculty of Economics and Management.
    10. Wästlund, Erik & Otterbring, Tobias & Gustafsson, Anders & Shams, Poja, 2015. "Heuristics and resource depletion: eye-tracking customers’ in situ gaze behavior in the field," Journal of Business Research, Elsevier, vol. 68(1), pages 95-101.
    11. Key Pousttchi & Maik Dehnert, 2018. "Exploring the digitalization impact on consumer decision-making in retail banking," Electronic Markets, Springer;IIM University of St. Gallen, vol. 28(3), pages 265-286, August.
    12. Chuan-Hoo Tan & Hock-Hai Teo & Izak Benbasat, 2010. "Assessing Screening and Evaluation Decision Support Systems: A Resource-Matching Approach," Information Systems Research, INFORMS, vol. 21(2), pages 305-326, June.
    13. Savannah Wei Shi & Jie Zhang, 2014. "Usage Experience with Decision Aids and Evolution of Online Purchase Behavior," Marketing Science, INFORMS, vol. 33(6), pages 871-882, November.
    14. Jella Pfeiffer & Michael Scholz, 2013. "A Low-Effort Recommendation System with High Accuracy," Business & Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK, Springer;Gesellschaft für Informatik e.V. (GI), vol. 5(6), pages 397-408, December.
    15. Nath, Prithwiraj & McKechnie, Sally, 2016. "Task facilitative tools, choice goals, and risk averseness: A process-view study of e-stores," Journal of Business Research, Elsevier, vol. 69(5), pages 1572-1576.
    16. Alan L. Montgomery & Kartik Hosanagar & Ramayya Krishnan & Karen B. Clay, 2004. "Designing a Better Shopbot," Management Science, INFORMS, vol. 50(2), pages 189-206, February.
    17. Vermeir, Iris & Van Kenhove, Patrick & Hendrickx, Hendrik, 2002. "The influence of need for closure on consumer's choice behaviour," Journal of Economic Psychology, Elsevier, vol. 23(6), pages 703-727, December.
    18. Rezaei, Sajad, 2015. "Segmenting consumer decision-making styles (CDMS) toward marketing practice: A partial least squares (PLS) path modeling approach," Journal of Retailing and Consumer Services, Elsevier, vol. 22(C), pages 1-15.
    19. Timothy J. Gilbride & Greg M. Allenby, 2004. "A Choice Model with Conjunctive, Disjunctive, and Compensatory Screening Rules," Marketing Science, INFORMS, vol. 23(3), pages 391-406, October.
    20. Axel Sonntag, 2013. "Search Costs in Consumer Product Choice: Does Delaying the Provision of Information increase Choice Efficiency?," Working Paper series, University of East Anglia, Centre for Behavioural and Experimental Social Science (CBESS) 13-05, School of Economics, University of East Anglia, Norwich, UK..

    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:mig:tmjrnl:v:6:y:2018:i:2:p:79-100. 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: Oxbridge Publishing House (email available below). General contact details of provider: https://www.transnationalmarket.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.