000090853 001__ 90853
000090853 005__ 20180122213039.0
000090853 037__ $$a320-2016-10614
000090853 041__ $$aen
000090853 245__ $$aUsing Best-Worst Scaling to Determine Market Channel Choice by Small Farmers in Indonesia
000090853 260__ $$c2010
000090853 269__ $$a2010
000090853 270__ $$mwendy.umberger@adelaide.edu.au$$pUmberger,   Wendy J.
000090853 270__ $$mrandy.stringer@adelaide.edu.au$$pStringer,   Randy
000090853 270__ $$msimone.mueller@marketingscience.info$$pMueller,   Simone C.
000090853 300__ $$a27
000090853 336__ $$aConference Paper/ Presentation
000090853 490__ $$aSelected Paper
000090853 490__ $$a11256
000090853 520__ $$aA household survey and a novel Best-Worst scaling method are used to examine the
relative importance of various buyer characteristics to small potato farmers in Indonesia. A
Latent Class Cluster Analysis is used explore whether producers’ utilities for marketing
channels are heterogeneous. For the aggregate sample, the attributes related to the buyer
providing immediate cash payment, a price premium and always following through on their
commitment to buy their potatoes were the three most important attributes. The results of the
Latent Class Cluster Analysis found four unique classes or segments of producers, each with
distinct utilities for buyer characteristics and interesting differences socio-demographic
characteristics. The largest segment (44%) was relatively similar to the aggregate, placing a
high importance on cash payment, price and willingness to negotiate. Two segments, 24%
and 16% of producers placed a relatively high importance on the buyer providing access to
certified potato seed or finance for purchasing inputs, and another segment placed the
highest importance on having a long-term relationship with their buyer. This has interesting
implications for traders, particularly traders who are interested in securing a long-term
relationship with potato producers – simply being able to provide cash at the time potatoes
are delivered and/or a small premium may immediately increase the strength of the
000090853 542__ $$fLicense granted by Louise Letnes (lletnes@umn.edu) on 2010-06-08T21:15:42Z (GMT):

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000090853 650__ $$aMarketing
000090853 6531_ $$aBest-Worst Scaling
000090853 6531_ $$aLatent Class Cluster Analysis
000090853 6531_ $$amarketing channel choice
000090853 6531_ $$aIndonesia
000090853 6531_ $$apotato farmers
000090853 6531_ $$asmall farmers
000090853 700__ $$aUmberger, Wendy J.
000090853 700__ $$aStringer, Randy
000090853 700__ $$aMueller, Simone C.
000090853 8564_ $$s133810$$uhttp://ageconsearch.umn.edu/record/90853/files/11256_UmbergerStringerMueller_AAEA%202010.pdf
000090853 887__ $$ahttp://purl.umn.edu/90853
000090853 909CO $$ooai:ageconsearch.umn.edu:90853$$pGLOBAL_SET
000090853 912__ $$nSubmitted by Louise Letnes (lletnes@umn.edu) on 2010-06-08T21:18:45Z
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000090853 912__ $$nMade available in DSpace on 2010-06-08T21:18:46Z (GMT). No. of bitstreams: 1
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  Previous issue date: 2010
000090853 982__ $$gAgricultural and Applied Economics Association>2010 Annual Meeting, July 25-27, 2010, Denver, Colorado
000090853 980__ $$a320