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Investigating the Impact of Firm Strategy – Click-and-Brick, Brick-and-Mortar, and Pure-Click – on Financial Performance

Author

Listed:
  • Myung Ko

    (The University of Texas at San Antonio)

  • Narcyz Roztocki

    (State University of New York at New Paltz)

Abstract

Attracted by the numerous benefits of E-commerce, many traditional brick-and-mortar firms have embraced the Internet to supplement their business operations and have adopted the “click-and-brick” approach. Despite these changes, insufficient empirical research has been conducted on the impact of different firm types on financial performance. Based on the resource-based view, this study presents empirical research examining the possible ramifications and an overall impact. This study does this by comparing financial performance of click-and-brick firms with the performance of traditional, as well as pure-click firms that rely solely on the Internet.

Suggested Citation

  • Myung Ko & Narcyz Roztocki, 2009. "Investigating the Impact of Firm Strategy – Click-and-Brick, Brick-and-Mortar, and Pure-Click – on Financial Performance," Working Papers 0092, College of Business, University of Texas at San Antonio.
    • Handle: RePEc:tsa:wpaper:00120is
    as

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    File URL: http://interim.business.utsa.edu/wps/IS/0092IS-299-2009.pdf
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    References listed on IDEAS

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    1. Enders, Albrecht & Jelassi, Tawfik, 2000. "The converging business models of Internet and bricks-and-mortar retailers," European Management Journal, Elsevier, vol. 18(5), pages 542-550, October.
    2. Bose, Indranil & Pal, Raktim, 2006. "Predicting the survival or failure of click-and-mortar corporations: A knowledge discovery approach," European Journal of Operational Research, Elsevier, vol. 174(2), pages 959-982, October.
    3. Edward I. Altman, 1968. "Financial Ratios, Discriminant Analysis And The Prediction Of Corporate Bankruptcy," Journal of Finance, American Finance Association, vol. 23(4), pages 589-609, September.
    4. Edward I. Altman, 1968. "The Prediction Of Corporate Bankruptcy: A Discriminant Analysis," Journal of Finance, American Finance Association, vol. 23(1), pages 193-194, March.
    5. Chen, Stephen, 2003. "The real value of 'e-business models'," Business Horizons, Elsevier, vol. 46(6), pages 27-33.
    6. Javalgi, Rajshekhar & Cutler, Bob & Todd, Patricia, 2004. "An Application of an Ecological Model to Explain the Growth of Strategies of Internet Firms:: The Cases of eBay and Amazon," European Management Journal, Elsevier, vol. 22(4), pages 464-470, August.
    7. Mani Subramani & Eric Walden, 2001. "The Impact of E-Commerce Announcements on the Market Value of Firms," Information Systems Research, INFORMS, vol. 12(2), pages 135-154, June.
    8. Raquel Benbunan-Fich & Eliezer M. Fich, 2005. "Measuring the Value of Refining a Web Presence," Journal of Electronic Commerce in Organizations (JECO), IGI Global, vol. 3(1), pages 35-52, January.
    9. Barber, Brad M. & Lyon, John D., 1996. "Detecting abnormal operating performance: The empirical power and specification of test statistics," Journal of Financial Economics, Elsevier, vol. 41(3), pages 359-399, July.
    10. Beaver, Wh, 1966. "Financial Ratios As Predictors Of Failure," Journal of Accounting Research, Wiley Blackwell, vol. 4, pages 71-111.
    11. Boyer, Kenneth K., 2001. "E-operations: a guide to streamlining with the internet," Business Horizons, Elsevier, vol. 44(1), pages 47-54.
    12. Bellman, Lawrence M., 2001. "Bricks and mortar: 21st century survival," Business Horizons, Elsevier, vol. 44(3), pages 21-28.
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    Cited by:

    1. Yunji Moon & Deborah J. Armstrong, 2020. "Service quality factors affecting customer attitudes in online-to-offline commerce," Information Systems and e-Business Management, Springer, vol. 18(1), pages 1-34, March.
    2. Toufaily, Elissar & Pons, Frank, 2017. "Impact of customers' assessment of website attributes on e-relationship in the securities brokerage industry: A multichannel perspective," Journal of Retailing and Consumer Services, Elsevier, vol. 34(C), pages 58-69.
    3. Toufaily, Elissar & Souiden, Nizar & Ladhari, Riadh, 2013. "Consumer trust toward retail websites: Comparison between pure click and click-and-brick retailers," Journal of Retailing and Consumer Services, Elsevier, vol. 20(6), pages 538-548.

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    More about this item

    Keywords

    E-commerce; pure-click; click-and-brick; brick-and-mortar; financial performance; resourced-based view;
    All these keywords.

    JEL classification:

    • L20 - Industrial Organization - - Firm Objectives, Organization, and Behavior - - - General

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