IDEAS home Printed from https://ideas.repec.org/a/spr/sjobre/v56y2004i6d10.1007_bf03372750.html
   My bibliography  Save this article

Der Markenwert von Banken — Messung komplexer Sachverhalte mit modernen Verfahren

Author

Listed:
  • Georg Wübker
  • Jens Baumgarten

Abstract

Summary Every company, especially those with strong brands, is confronted with the question of how the value of its brand can be measured correctly and — even more importantly — how it can be translated into a price premium in the market. This article presents an innovative technique for quantifying the brand value in banking from the perspective of the customer. By using an individualised conjoint measurement approach, the complex constructs of “brand” and its resulting “value” for different customers can be measured according to the customer and segment. Based on this quantification, segment-specific brand value drivers can be identified and transformed into sales guidelines and other sales tools that fully exploit the customers’ increased willingness to pay.

Suggested Citation

  • Georg Wübker & Jens Baumgarten, 2004. "Der Markenwert von Banken — Messung komplexer Sachverhalte mit modernen Verfahren," Schmalenbach Journal of Business Research, Springer, vol. 56(6), pages 577-592, September.
  • Handle: RePEc:spr:sjobre:v:56:y:2004:i:6:d:10.1007_bf03372750
    DOI: 10.1007/BF03372750
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/BF03372750
    File Function: Abstract
    Download Restriction: no

    File URL: https://libkey.io/10.1007/BF03372750?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. Green, Paul E & Srinivasan, V, 1978. "Conjoint Analysis in Consumer Research: Issues and Outlook," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 5(2), pages 103-123, Se.
    2. Charlotte H. Mason, 1990. "New Product Entries and Product Class Demand," Marketing Science, INFORMS, vol. 9(1), pages 58-73.
    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. Winfried Steiner & Harald Hruschka, 2002. "A Probabilistic One-Step Approach to the Optimal Product Line Design Problem Using Conjoint and Cost Data," Review of Marketing Science Working Papers 1-4-1003, Berkeley Electronic Press.
    2. Merja Halme & Kari Linden & Kimmo Kääriä, 2009. "Patients’ Preferences for Generic and Branded Over-the-Counter Medicines," The Patient: Patient-Centered Outcomes Research, Springer;International Academy of Health Preference Research, vol. 2(4), pages 243-255, December.
    3. Haaijer, Marinus E., 1996. "Predictions in conjoint choice experiments : the x-factor probit model," Research Report 96B22, University of Groningen, Research Institute SOM (Systems, Organisations and Management).
    4. Fusco, Elisa, 2023. "Potential improvements approach in composite indicators construction: The Multi-directional Benefit of the Doubt model," Socio-Economic Planning Sciences, Elsevier, vol. 85(C).
    5. Xue, Hong & Mainville, Denise Y. & You, Wen & Nayga, Rodolfo M., Jr., 2009. "Nutrition Knowledge, Sensory Characteristics and Consumers’ Willingness to Pay for Pasture-Fed Beef," 2009 Annual Meeting, July 26-28, 2009, Milwaukee, Wisconsin 49277, Agricultural and Applied Economics Association.
    6. Barbara Baarsma, 2003. "The Valuation of the IJmeer Nature Reserve using Conjoint Analysis," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 25(3), pages 343-356, July.
    7. Kowalska-Pyzalska, Anna & Michalski, Rafał & Kott, Marek & Skowrońska-Szmer, Anna & Kott, Joanna, 2022. "Consumer preferences towards alternative fuel vehicles. Results from the conjoint analysis," Renewable and Sustainable Energy Reviews, Elsevier, vol. 155(C).
    8. Kim, Junghun & Seung, Hyunchan & Lee, Jongsu & Ahn, Joongha, 2020. "Asymmetric preference and loss aversion for electric vehicles: The reference-dependent choice model capturing different preference directions," Energy Economics, Elsevier, vol. 86(C).
    9. Horna, J. Daniela & Smale, Melinda & von Oppen, Matthias, 2005. "Private Participation In Agricultural Extension In Nigeria And Benin: Determining The Willingness To Pay For Information," 2005 Annual meeting, July 24-27, Providence, RI 19401, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    10. John Liechty & Duncan Fong & Eelko Huizingh & Arnaud Bruyn, 2008. "Hierarchical Bayesian conjoint models incorporating measurement uncertainty," Marketing Letters, Springer, vol. 19(2), pages 141-155, June.
    11. 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.
    12. Kannika Thampanishvong, 2013. "Determinants of Flash Flood Evacuation Choices and Assessment of Preferences for Flash Flood Warning Channels: The Case of Thailand," EEPSEA Research Report rr2013034, Economy and Environment Program for Southeast Asia (EEPSEA), revised Mar 2013.
    13. Teichert, Thorsten Andreas, 1997. "Schätzgenauigkeit von Conjoint-Analysen," Manuskripte aus den Instituten für Betriebswirtschaftslehre der Universität Kiel 444, Christian-Albrechts-Universität zu Kiel, Institut für Betriebswirtschaftslehre.
    14. Theodoros Evgeniou & Constantinos Boussios & Giorgos Zacharia, 2005. "Generalized Robust Conjoint Estimation," Marketing Science, INFORMS, vol. 24(3), pages 415-429, May.
    15. Poortinga, Wouter & Steg, Linda & Vlek, Charles & Wiersma, Gerwin, 2003. "Household preferences for energy-saving measures: A conjoint analysis," Journal of Economic Psychology, Elsevier, vol. 24(1), pages 49-64, February.
    16. Olivier Toubia & Duncan I. Simester & John R. Hauser & Ely Dahan, 2003. "Fast Polyhedral Adaptive Conjoint Estimation," Marketing Science, INFORMS, vol. 22(3), pages 273-303.
    17. Sell, Sandra & Lopatta, Kerstin & Hundsdoerfer, Jochen, 2010. "Der Einfluss der Besteuerung auf die Rechtsformwahl: Eine Conjoint-Analyse," Discussion Papers 2010/10, Free University Berlin, School of Business & Economics.
    18. Fraser, Iain & Balcombe, Kelvin & Williams, Louis & McSorley, Eugene, 2021. "Preference stability in discrete choice experiments. Some evidence using eye-tracking," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 94(C).
    19. Chan-Halbrendt, Catherine & Yu, Jin & Keung, Helen & Lin, Tun & Ferguson, Carol, 2006. "Guangzhou Buyers Preference for Premium Hawaiian Grown Product Gift Baskets," International Food and Agribusiness Management Review, International Food and Agribusiness Management Association, vol. 9(4), pages 1-15.
    20. Dutta, Goutam & Sankarshan Basu & John, Jose, 2008. "Development of Utility Function for Life Insurance Buyers in the Indian Market," IIMA Working Papers WP2008-12-05, Indian Institute of Management Ahmedabad, Research and Publication Department.

    More about this item

    Keywords

    M10; C42; G21;
    All these keywords.

    JEL classification:

    • M10 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Business Administration - - - General
    • C42 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Survey Methods
    • G21 - Financial Economics - - Financial Institutions and Services - - - Banks; Other Depository Institutions; Micro Finance Institutions; Mortgages

    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:spr:sjobre:v:56:y:2004:i:6:d:10.1007_bf03372750. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.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.