Department   Undergraduate School  , School of Commerce
   Position   Professor
Language English
Publication Date 2014/06
Type International Conference
Title "Too Many Attributes and Consumer's Dysfunction", Frontiers in Artificial Intelligence and Applications
Contribution Type Co-authored (first author)
Journal Frontiers in Artificial Intelligence and Applications
Journal TypeAnother Country
Publisher IOS Press
Volume, Issue, Page 262,pp.112-121
Author and coauthor Takeshi Ebina and Keita Kinjo
Details This study analyzes consumer purchasing behavior by introducing voluminous product information into a consumer decision-making model. We focus on the case where consumers and firms have insufficient preferences for product attributes. This situation can apply to the case where a new product or product with new features is introduced into a market. We analyze consumer dysfunction in the presence of excessive alternatives and investigate how many products and product attributes are offered when selling a product. Following the ideal point model, we construct a new model and investigate it. Furthermore, by relaxing the assumptions made in the theoretical model, we numerically investigate and verify the robustness of our theoretical results. The results reveal that consumers may not be able to choose the best product because of confusion and dysfunction of their preferences for product attributes. This confusion causes consumers to choose each product with equal probability.
URL for researchmap https://researchmap.jp/ebinatakeshi2010/