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Retail store visitation and the cost-value hypothesis: An application of the AID algorithm

Retail store visitation and the cost-value hypothesis: An application of the AID algorithm Abstract This paper provides insights into the cost-value implications of retail store visitation. It does this by relating the extent of retail store visitation to both consumer characteristics and situational variables in the context of a specific type of major appliance purchase. The assessment was based on the usage of the Automatic Interaction Detector (AID). This algorithm determines what variables and categorees within them combine to produce the greatest discrimination in group means by the dependent variable (the number of retail stores visited). An interpretation of AID-revealed binary splits suggests support for the cost-value hypothesis of retail store visitation. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Journal of the Academy of Marketing Science Springer Journals

Retail store visitation and the cost-value hypothesis: An application of the AID algorithm

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References (12)

Publisher
Springer Journals
Copyright
1979 Academy of Marketing Science
ISSN
0092-0703
eISSN
1552-7824
DOI
10.1007/BF02729784
Publisher site
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Abstract

Abstract This paper provides insights into the cost-value implications of retail store visitation. It does this by relating the extent of retail store visitation to both consumer characteristics and situational variables in the context of a specific type of major appliance purchase. The assessment was based on the usage of the Automatic Interaction Detector (AID). This algorithm determines what variables and categorees within them combine to produce the greatest discrimination in group means by the dependent variable (the number of retail stores visited). An interpretation of AID-revealed binary splits suggests support for the cost-value hypothesis of retail store visitation.

Journal

Journal of the Academy of Marketing Science – Springer Journals

Published: Jun 1, 1978

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