IDEAS home Printed from https://ideas.repec.org/p/iim/iimawp/14426.html
   My bibliography  Save this paper

Web Content Analysis of Online Grocery Shopping Web Sites in India

Author

Listed:
  • Banerjee, Arindam
  • Banerjee, Tanushri

Abstract

In this paper the authors evaluate online grocery shopping web sites catering to customers primarily in India. The process of evaluation has been carried out in 3 parts; by comparing the web content on their homepages, analysing customer reviews and also analysing their business performance as summarized on public web sites that use search optimization tools and analytical processes. This paper aims to study attributes from structured and unstructured data that lead to success of online grocery business in India. Results of the study will help identify the keywords that Indian consumers prefer to use while searching for information on online grocery websites. It will also identify consumer preferences from the customer review analysis. Additionally, it will identify the parameters from web site traffic metrics that drive per day revenue for the online retailer.

Suggested Citation

  • Banerjee, Arindam & Banerjee, Tanushri, 2016. "Web Content Analysis of Online Grocery Shopping Web Sites in India," IIMA Working Papers WP2016-03-01, Indian Institute of Management Ahmedabad, Research and Publication Department.
  • Handle: RePEc:iim:iimawp:14426
    as

    Download full text from publisher

    File URL: https://web.iima.ac.in/assets/snippets/workingpaperpdf/9555077582016-03-01.pdf
    File Function: English Version
    Download Restriction: no

    References listed on IDEAS

    as
    1. Peter J. Danaher & Isaac W. Wilson & Robert A. Davis, 2003. "A Comparison of Online and Offline Consumer Brand Loyalty," Marketing Science, INFORMS, vol. 22(4), pages 461-476, February.
    2. Brengman, Malaika & Geuens, Maggie & Weijters, Bert & Smith, Scott M. & Swinyard, William R., 2005. "Segmenting Internet shoppers based on their Web-usage-related lifestyle: a cross-cultural validation," Journal of Business Research, Elsevier, vol. 58(1), pages 79-88, January.
    3. Rohm, Andrew J. & Swaminathan, Vanitha, 2004. "A typology of online shoppers based on shopping motivations," Journal of Business Research, Elsevier, vol. 57(7), pages 748-757, July.
    Full references (including those not matched with items on IDEAS)

    More about this item

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:iim:iimawp:14426. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (). General contact details of provider: http://edirc.repec.org/data/eciimin.html .

    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 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.

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.