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  <title>Supplier-selected referrals</title>
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  <place>
   <placeTerm type="text">Chicago</placeTerm>
   <publisher>American Marketing Association</publisher>
   <dateIssued>March 2014</dateIssued>
  </place>
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  <extent>p. 34 - 51</extent>
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 <note>In business-to-business markets, suppliers often ask an existing &#13;
customer to provide a referral for them (i.e., a supplier-selected &#13;
referral), in which the supplier selects a referrer to influence a &#13;
specific potential customer favorably. The selection of the referrer is &#13;
important because the right referrer providing the right message can &#13;
generate business for the supplier. To study supplier-selected &#13;
referrals, the authors extend the dyadic source message-recipient &#13;
communication framework to propose a framework that incorporates the &#13;
supplier and the supplier's management of the communication between the &#13;
referrer and the potential customer. They label this framework the &#13;
Managed Triadic Communication (MaTriC) framework. The authors conduct &#13;
three experimental studies in which they apply the MaTriC framework to &#13;
the domain of supplier-selected referrals and focus on the contingent &#13;
role of supplier uncertainty. The authors find that the benefits of a &#13;
supplier-selected referral are contingent on supplier uncertainty. For &#13;
example, their findings imply that an out supplier should focus on &#13;
selecting a referrer that would give an all-positive evaluation (vs. a &#13;
balanced evaluation), whereas an in supplier should focus on selecting a&#13;
 highly credible referrer, even if that referral does not provide an &#13;
all-positive evaluation of the supplier. [ABSTRACT FROM AUTHOR] &lt;br&gt;</note>
 <note type="statement of responsibility"></note>
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 <location>
  <physicalLocation>Perpustakaan - Sekolah Tinggi Manajemen PPM Pusat Informasi Manajemen</physicalLocation>
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