IDEAS home Printed from https://ideas.repec.org/a/sae/ausman/v11y1986i2p191-202.html
   My bibliography  Save this article

The Diffusion of Bankcard in Australia: A Note

Author

Listed:
  • Jocelyn Horne

    (Faculty of Economics & Commerce, The University of Melbourne.)

Abstract

The purpose of this note is to quantify the degree of market penetration and diffusion by Bankcard in the Australian consumer credit sector. A modified demand-determined logistic model of diffusion is estimated for the sample period 1976(4)–1983(1) in which the saturation level is assumed to be driven by the weighted interest differential between Bankcard and competing credit instruments. The diffusion speed of Bankcard is shown to be more rapid than that of U.S. bank credit cards but somewhat slower than that of a new deposit instrument, saving-investment accounts analysed in Broadbent, Clements and Johnson (1981).

Suggested Citation

  • Jocelyn Horne, 1986. "The Diffusion of Bankcard in Australia: A Note," Australian Journal of Management, Australian School of Business, vol. 11(2), pages 191-202, December.
    • Handle: RePEc:sae:ausman:v:11:y:1986:i:2:p:191-202
    DOI: 10.1177/031289628601100205
    as

    Download full text from publisher

    File URL: https://journals.sagepub.com/doi/10.1177/031289628601100205
    Download Restriction: no
    File URL: https://libkey.io/10.1177/031289628601100205?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. White, Kenneth J, 1976. "The Effect of Bank Credit Cards on the Household Transactions Demand for Money," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 8(1), pages 51-61, February.
    2. Bass, Frank M, 1980. "The Relationship between Diffusion Rates, Experience Curves, and Demand Elasticities for Consumer Durable Technological Innovations," The Journal of Business, University of Chicago Press, vol. 53(3), pages 51-67, July.
    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. Oscar Gutiérrez & Francisco Ruiz-Aliseda, 2011. "Real options with unknown-date events," Annals of Finance, Springer, vol. 7(2), pages 171-198, May.
    2. Chatwin, Richard E., 2000. "Optimal dynamic pricing of perishable products with stochastic demand and a finite set of prices," European Journal of Operational Research, Elsevier, vol. 125(1), pages 149-174, August.
    3. Frank M. Bass, 2004. "Comments on "A New Product Growth for Model Consumer Durables The Bass Model"," Management Science, INFORMS, vol. 50(12_supple), pages 1833-1840, December.
    4. Zhanwei Tian & Guoqing Zhang, 2021. "Multi-echelon fulfillment warehouse rent and production allocation for online direct selling," Annals of Operations Research, Springer, vol. 304(1), pages 427-451, September.
    5. Rajshree Agarwal & Barry L. Bayus, 2002. "The Market Evolution and Sales Takeoff of Product Innovations," Management Science, INFORMS, vol. 48(8), pages 1024-1041, August.
    6. Zhang, Xiaoqun, 2013. "Income disparity and digital divide: The Internet Consumption Model and cross-country empirical research," Telecommunications Policy, Elsevier, vol. 37(6), pages 515-529.
    7. Snellman, Heli, 2006. "Automated teller machine network market structure and cash usage," Bank of Finland Scientific Monographs, Bank of Finland, volume 0, number sm2006_038.
    8. Jaekwon Chung, 2020. "Effect of Quality Uncertainty, Regulatory Focus, and Promotional Strategies on Perceived Savings for Sustainable Marketing," Sustainability, MDPI, vol. 12(14), pages 1-16, July.
    9. Trichy V. Krishnan & Frank M. Bass & Dipak C. Jain, 1999. "Optimal Pricing Strategy for New Products," Management Science, INFORMS, vol. 45(12), pages 1650-1663, December.
    10. Wagner A. Kamakura & Siva K. Balasubramanian, 1987. "Long‐term forecasting with innovation diffusion models: The impact of replacement purchases," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 6(1), pages 1-19.
    11. Peters, Kay & Albers, Sönke & Kumar, V., 2008. "Is there more to international Diffusion than Culture? An investigation on the Role of Marketing and Industry Variables," EconStor Preprints 27678, ZBW - Leibniz Information Centre for Economics.
    12. Cabral, Luis M. B. & Salant, David J. & Woroch, Glenn A., 1999. "Monopoly pricing with network externalities," International Journal of Industrial Organization, Elsevier, vol. 17(2), pages 199-214, February.
    13. Yeh, Sonia & Rubin, Edward S., 2012. "A review of uncertainties in technology experience curves," Energy Economics, Elsevier, vol. 34(3), pages 762-771.
    14. Kartik Hosanagar & Peng Han & Yong Tan, 2010. "Diffusion Models for Peer-to-Peer (P2P) Media Distribution: On the Impact of Decentralized, Constrained Supply," Information Systems Research, INFORMS, vol. 21(2), pages 271-287, June.
    15. Hongmin Li, 2020. "Optimal Pricing Under Diffusion-Choice Models," Operations Research, INFORMS, vol. 68(1), pages 115-133, January.
    16. Paulo Maçãs Nunes, 2015. "Pricing Strategy In The Context Of Durable Goods Monopoly With Discrete Demand," Economic Annals, Faculty of Economics and Business, University of Belgrade, vol. 60(204), pages 61-74, January –.
    17. Neij, Lena, 1997. "Use of experience curves to analyse the prospects for diffusion and adoption of renewable energy technology," Energy Policy, Elsevier, vol. 25(13), pages 1099-1107, November.
    18. Stefania Sitzia & Daniel John Zizzo, 2010. "Price low and then price high or price high and then price low?," Working Paper series, University of East Anglia, Centre for Competition Policy (CCP) 2010-08, Centre for Competition Policy, University of East Anglia, Norwich, UK..
    19. Geroski, P. A., 2000. "Models of technology diffusion," Research Policy, Elsevier, vol. 29(4-5), pages 603-625, April.
    20. Nancy L. Stokey, 1984. "The Dynamics of Industry-Wide Learning," Discussion Papers 629, Northwestern University, Center for Mathematical Studies in Economics and Management Science.

    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:sae:ausman:v:11:y:1986:i:2:p:191-202. 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: SAGE Publications (email available below). General contact details of provider: http://www.agsm.edu.au .

    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.