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Interactive Consumer Decision Aids

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Part of the book series: International Series in Operations Research & Management Science ((ISOR,volume 121))

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Notes

  1. 1.

    For example: “The internet is a great equalizer, allowing the smallest of businesses to access markets and have a presence that allows them to compete against the giants of their industry.” Borland (1998); “The cost of switching from Amazon to another retailer is zero on the internet. It’s just one click away.” Friedman (1999); “Shopbots deliver on one of the great promises of electronic commerce and the internet: a radical reduction in the cost of obtaining and distributing information.” Greenwald and Kephart (1999).

  2. 2.

    Even more common are general information search engines – e.g., Google, Live.com, Yahoo search, Ask.com, etc. – which could also be classified under a liberal definition of clerking.

  3. 3.

    Readers interested in more detailed descriptions of different types of ICDAs, recommendation agents and recommender systems are directed, as a starting point, to Adomavicius and Tuzhilin (2005) and Montaner et al. (2003).

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Acknowledgments

The authors gratefully acknowledge the research funding provided by the Social Sciences and Humanities Research Council of Canada. This work was also supported by the F.W.P. Jones Faculty Fellowship held by Kyle B. Murray and the Canada Research Chair in Behavioral Science and the Banister Professorship in Electronic Commerce held by Gerald Häubl.

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  1. Western Ontario University’s, Richard Ivey School of Business, London, Ontario

    Kyle B. Murray

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    Berend Wierenga (Prof) (Prof)

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Murray, K.B., Häubl, G. (2008). Interactive Consumer Decision Aids. In: Wierenga, B. (eds) Handbook of Marketing Decision Models. International Series in Operations Research & Management Science, vol 121. Springer, Boston, MA. https://doi.org/10.1007/978-0-387-78213-3_3

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