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  • 2005-2009  (2)
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Material
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Year
  • 1
    Electronic Resource
    Electronic Resource
    Welcome Home: Innovating the Forward Supply Chain (2005)
    Oxford, UK and Boston, USA : Blackwell Science Ltd
    Business strategy review 16 (2005), S. 0 
    Details
    ISSN: 1467-8616
    Source: Blackwell Publishing Journal Backfiles 1879-2005
    Topics: Economics
    Notes: Most retailers have moved relentlessly towards the low price, low customer contact, big box experience over the past three decades.But, as Kenneth K Boyer and G Tomas M Hult show, good service is coming back into style. Reinventing home shopping, as part of a new forward supply chain mindset, could make the retail shopping experience more enjoyable and more convenient. Customers will value it — and pay for it.
    Type of Medium: Electronic Resource
    URL: http://dx.doi.org/10.1111/j.0955-6419.2005.00360.x
    Library Location Call Number Volume/Issue/Year Availability
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    Paper (German National Licenses)
    Fulltext
  • 2
    Electronic Resource
    Electronic Resource
    Customer Behavior in an Online Ordering Application: A Decision Scoring Model (2005)
    350 Main Street , Malden , MA 02148 , USA . : Decision Sciences
    Decision sciences 36 (2005), S. 0 
    Details
    ISSN: 1540-5915
    Source: Blackwell Publishing Journal Backfiles 1879-2005
    Topics: Economics
    Notes: This research presents the development of behavioral scoring models to predict future customer purchases in an online ordering application. Internet retailing lowers many barriers for customers switching between retailers for repeat purchases; thus, retaining existing customers is a key challenge for achieving profitability. Survey data were collected from 1,089 online customers of two companies. The subjective survey data were then used to predict purchases over the ensuing 12 months based on data from the company databases. The analysis illustrates the general applicability of predictive models of future customer purchases while also demonstrating the need to develop specific models tailored for an individual company's operating and marketing environment. The models provide insight on how companies can target marketing dollars more effectively and allocate investment across multiple operational areas for maximum return. The research answers a call for rigorous research in the area of predictive marketing, an area in which many companies are excelling but where there is a scarcity of detailed knowledge regarding application of such models.
    Type of Medium: Electronic Resource
    URL: http://dx.doi.org/10.1111/j.1540-5414.2005.00103.x
    Library Location Call Number Volume/Issue/Year Availability
    BibTip Others were also interested in ...
    Paper (German National Licenses)
    Fulltext
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