IDEAS home Printed from https://ideas.repec.org/p/ems/eureri/992.html
   My bibliography  Save this paper

Purchasing complex services on the Internet; An analysis of mortgage loan acquisitions

Author

Listed:
  • Vroomen, B.L.K.
  • Donkers, A.C.D.
  • Verhoef, P.C.
  • Franses, Ph.H.B.F.

Abstract

In contrast to, for example, books and compact discs, the number of complex services offered on the Internet is still small. A good example of such a service concerns mortgage loans. The decision-making process differs for complex services in that they have an extra intermediate step of `indication of interest'. The web site is (1) visited and searched for information, subsequently (2) a request for the service is made, which may lead to (3) a purchase. This difference in the buying process and the complexity of the decision-making process, requires afurther investigation on purchasing complex services on the Internet. We therefore focus on online purchases of complex services, paying special attention to the determinants of a purchase of such services. To this end, we acquired a unique data set from an online Dutch financial service provider, which offers services like mortgage loans and insurances on the Internet. This data contains, besides clickstream data, also data on user-specific information like demographics. We also obtained information on whether the request for the service re-sulted in a purchase. Search behavior, product familiarity and trust appear to be useful determinants of purchase of complex services. Direct managerial applications of our model include the ability to identify customer characteristics of successful applicants, and subsequently the selection of customers.

Suggested Citation

  • Vroomen, B.L.K. & Donkers, A.C.D. & Verhoef, P.C. & Franses, Ph.H.B.F., 2003. "Purchasing complex services on the Internet; An analysis of mortgage loan acquisitions," ERIM Report Series Research in Management ERS-2003-075-MKT, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam.
  • Handle: RePEc:ems:eureri:992
    as

    Download full text from publisher

    File URL: https://repub.eur.nl/pub/992/vroomen%20donkers%20verhoef%20franses.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Alba, Joseph W & Hutchinson, J Wesley, 1987. "Dimensions of Consumer Expertise," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 13(4), pages 411-454, March.
    2. D. Harrison McKnight & Vivek Choudhury & Charles Kacmar, 2002. "Developing and Validating Trust Measures for e-Commerce: An Integrative Typology," Information Systems Research, INFORMS, vol. 13(3), pages 334-359, September.
    3. Jan Roelf Bult & Tom Wansbeek, 1995. "Optimal Selection for Direct Mail," Marketing Science, INFORMS, vol. 14(4), pages 378-394.
    4. Franses,Philip Hans & Paap,Richard, 2010. "Quantitative Models in Marketing Research," Cambridge Books, Cambridge University Press, number 9780521143653.
    5. Kathy A. Stewart & Albert H. Segars, 2002. "An Empirical Examination of the Concern for Information Privacy Instrument," Information Systems Research, INFORMS, vol. 13(1), pages 36-49, March.
    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. Julie Guidry Moulard & Randle D. Raggio & Judith Anne Garretson Folse, 2021. "Disentangling the meanings of brand authenticity: The entity-referent correspondence framework of authenticity," Journal of the Academy of Marketing Science, Springer, vol. 49(1), pages 96-118, January.
    2. Annaluce Latorre & Maria Vernuccio, 2013. "Ridurre il rischio percepito e generare fiducia nello shopping online attraverso gli User Generated Content," MERCATI & COMPETITIVIT?, FrancoAngeli Editore, vol. 2013(1), pages 143-163.
    3. Samson, Alain & Voyer, Benjamin G., 2014. "Emergency purchasing situations: Implications for consumer decision-making," Journal of Economic Psychology, Elsevier, vol. 44(C), pages 21-33.
    4. Imen Yacoub, 2015. "The Evaluation of Brand Extension: A Proposition of a Conceptual Framework Based on Trust," International Journal of Management Sciences, Research Academy of Social Sciences, vol. 5(10), pages 663-687.
    5. Darrell Carpenter & Alexander McLeod & Chelsea Hicks & Michele Maasberg, 0. "Privacy and biometrics: An empirical examination of employee concerns," Information Systems Frontiers, Springer, vol. 0, pages 1-20.
    6. Carpenter, Darrell & Maasberg, Michele & Hicks, Chelsea & Chen, Xiaogang, 2016. "A multicultural study of biometric privacy concerns in a fire ground accountability crisis response system," International Journal of Information Management, Elsevier, vol. 36(5), pages 735-747.
    7. Pagani, Margherita & Malacarne, Giovanni, 2017. "Experiential Engagement and Active vs. Passive Behavior in Mobile Location-based Social Networks: The Moderating Role of Privacy," Journal of Interactive Marketing, Elsevier, vol. 37(C), pages 133-148.
    8. Joseph Kwame Adjei & Samuel Adams & Isaac Kofi Mensah & Peter Ebo Tobbin & Solomon Odei-Appiah, 2020. "Digital Identity Management on Social Media: Exploring the Factors That Influence Personal Information Disclosure on Social Media," Sustainability, MDPI, vol. 12(23), pages 1-17, November.
    9. Weiquan Wang & Izak Benbasat, 2013. "Research Note —A Contingency Approach to Investigating the Effects of User-System Interaction Modes of Online Decision Aids," Information Systems Research, INFORMS, vol. 24(3), pages 861-876, September.
    10. Caroline Lancelot Miltgen, 2009. "Propension à fournir des données personnelles mensongères sur Internet : une étude exploratoire," Post-Print hal-01117029, HAL.
    11. Heng Xu & Hock-Hai Teo & Bernard C. Y. Tan & Ritu Agarwal, 2012. "Research Note ---Effects of Individual Self-Protection, Industry Self-Regulation, and Government Regulation on Privacy Concerns: A Study of Location-Based Services," Information Systems Research, INFORMS, vol. 23(4), pages 1342-1363, December.
    12. Qian, Lixian & Soopramanien, Didier & Daryanto, Ahmad, 2017. "First-time buyers' subjective knowledge and the attribute preferences of Chinese car buyers," Journal of Retailing and Consumer Services, Elsevier, vol. 36(C), pages 189-196.
    13. Darrell Carpenter & Alexander McLeod & Chelsea Hicks & Michele Maasberg, 2018. "Privacy and biometrics: An empirical examination of employee concerns," Information Systems Frontiers, Springer, vol. 20(1), pages 91-110, February.
    14. Grace Fox & Tabitha L. James, 2021. "Toward an Understanding of the Antecedents to Health Information Privacy Concern: A Mixed Methods Study," Information Systems Frontiers, Springer, vol. 23(6), pages 1537-1562, December.
    15. Joseph A. Cazier & Benjamin B. M. Shao & Robert D. St. Louis, 2007. "Sharing information and building trust through value congruence," Information Systems Frontiers, Springer, vol. 9(5), pages 515-529, November.
    16. Cheng, Junjun & Chen, Bo & Huang, Zihang, 2023. "Collective-based ad transparency in targeted hotel advertising: Consumers’ regulatory focus underlying the crowd safety effect," Journal of Retailing and Consumer Services, Elsevier, vol. 72(C).
    17. Risselada, Hans & Verhoef, Peter C. & Bijmolt, Tammo H.A., 2010. "Staying Power of Churn Prediction Models," Journal of Interactive Marketing, Elsevier, vol. 24(3), pages 198-208.
    18. Michis Antonis A, 2009. "Regression Analysis of Marketing Time Series: A Wavelet Approach with Some Frequency Domain Insights," Review of Marketing Science, De Gruyter, vol. 7(1), pages 1-43, July.
    19. Oleg Curbatov, 2013. "The 'Knowledge Marketing': A New Trend In A Management Science World," Post-Print hal-01509370, HAL.
    20. Wasib B Latif & Md. Aminul Islam & Idris Bin Mohd Noor, 2014. "A Conceptual Framework to Build Brand Loyalty in the Modern Marketing Environment," Journal of Asian Scientific Research, Asian Economic and Social Society, vol. 4(10), pages 547-557, October.

    More about this item

    Keywords

    decision support system; internet; online purchasing behavior; search behavior; trust;
    All these keywords.

    JEL classification:

    • C44 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Operations Research; Statistical Decision Theory
    • M - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics
    • M31 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Marketing and Advertising - - - Marketing

    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:ems:eureri:992. 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: RePub (email available below). General contact details of provider: https://edirc.repec.org/data/erimanl.html .

    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.