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  <title>PIE</title>
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  <place>
   <placeTerm type="text">Chicago</placeTerm>
   <publisher>American Marketing Association</publisher>
   <dateIssued>June 2014</dateIssued>
  </place>
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  <extent>p. 335 - 351</extent>
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 <note>Extant preference measurement research, including conjoint analysis, has&#13;
 been silent on the explicit influence of others in the formation of &#13;
consumer preferences. This article proposes a new holistic framework of &#13;
preference, &quot;PIE,&quot; as well as a measurement method to remedy this &#13;
problem. The new paradigm posits that consumers evaluate products on the&#13;
 basis of different &quot;needs&quot; determined by three sources: (1) P, the &#13;
physical attributes of the product; (2) I, the individual &#13;
characteristics of the choice maker; and (3) E, characteristics of an &#13;
external peer group. To provide an empirically feasible method to &#13;
capture all three sources of information, the authors propose and test &#13;
an incentive-aligned approach, a &quot;group-sourced mechanism,&quot; which mimics&#13;
 a consumer's real-life consultation in the presence of his or her &#13;
friends when making a purchase decision. The results provide support for&#13;
 the PIE framework, including superior predictive performance in a &#13;
conjoint task that is &quot;stacked against it.&quot; The authors also show how &#13;
firms can apply the PIE framework for product design. Practitioners, &#13;
however, must carefully weigh the benefits of the group-sourced &#13;
preference measurement with the heavier cognitive burden on the &#13;
respondents in completing the task. [ABSTRACT FROM AUTHOR] &lt;br&gt;</note>
 <note type="statement of responsibility"></note>
 <classification></classification>
 <identifier type="isbn">00222437</identifier>
 <location>
  <physicalLocation>Perpustakaan - Sekolah Tinggi Manajemen PPM Pusat Informasi Manajemen</physicalLocation>
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