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title:
 
An Experimental Study of User-Customized Products Online
publication:
 
ICEBI-10
part of series:
  Advances in Intelligent Systems Research
ISBN:
  978-90-78677-40-6
ISSN:
  1951-6851
DOI:
  doi:10.2991/icebi.2010.48 (how to use a DOI)
author(s):
 
Xiaolin Yang, Kanliang Wang
publication date:
 
December 2010
keywords:
 
alternative-based decision support tool, attribute-based decision support tool, attribute importance, perceived usefulness, perceived ease of use, perceived enjoyment, perceived control
abstract:
 
With the rapid development of online shopping, the simple form of online shopping can not meet the personalized needs of consumers. The paper studies the decision support system for usercustomized products online. This paper concentrates on the differences in consumer behavior through an experimental study of an alternativebased DSS and an attribute-based DSS for product customization by online consumers. In addition, we examine the moderating effect of attribute importance in the use of an online customer decision support tool. Using the independent assessment, joint assessment and cognitive fit theories, we develop a model with four mediate variables (perceived usefulness, perceived ease of use, perceived enjoyment, and perceived control) and two dependent variables (intention to purchase and intention to return).
copyright:
 
© Atlantis Press. This article is distributed under the terms of the Creative Commons Attribution License, which permits non-commercial use, distribution and reproduction in any medium, provided the original work is properly cited.
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