Author List: Smith, Stephen P.; Johnston, Robert B.; Howard, Steve;
Information Systems Research, 2011, Volume 22, Issue 3, Page 640-659.
The electronic gulf between shoppers and products makes evaluating a physical product on offer at an e-store a potentially problematic activity. We propose that the outcome of the product evaluation task is determined by the fit between the type of information provided and the type of information sought by the consumer and that this, in turn, influences a consumer's attitude toward an e-store. An experiment to compare the impact of one type of advanced evaluation support technology, the virtual model, with a more basic online catalog, is then described. Results indicate that virtual models are potentially valuable when a customer is concerned with self-image and considerably less valuable when concerned with functionality. In more general terms, variation in end-user attitudes toward the object of the task (evaluative attitude) influenced how informed consumers felt about a product when using different technologies. Feeling informed, in turn, had a strong effect on consumer attitudes toward the store. Our results highlight two important issues for online stores: (1) a consumer's information requirements depend on his or her attitude to a product rather than product attributes; and (2) meeting or not meeting these information requirements affects perceptions of the store. Business success in this context therefore appears to hinge on addressing the specific functional and image-related information needs of customers rather than simply providing more interactivity or technical functionality.
Keywords: consumer attitude; dual methods; e-store evaluation; electronic commerce; empirical evaluation; functional theory; product information; value expressive; virtual model
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#118 0.318 online consumers consumer product purchase shopping e-commerce products commerce website electronic results study behavior experience b2c impact internet purchases websites
#184 0.101 modeling models model business research paradigm components using representation extension logical set existing way aspects issues current integrated languages traditional
#0 0.085 information types different type sources analysis develop used behavior specific conditions consider improve using alternative understanding data available main target
#140 0.075 model use theory technology intention information attitude acceptance behavioral behavior intentions research understanding systems continuance models planned percent attitudes predict
#157 0.073 evaluation effectiveness assessment evaluating paper objectives terms process assessing criteria evaluations methodology provides impact literature potential important evaluated identifying multiple
#18 0.068 adaptive theory structuration appropriation structures technology use theoretical ast capture believe consensus technologies offices context based initial advanced exploring findings
#93 0.058 performance results study impact research influence effects data higher efficiency effect significantly findings impacts empirical significant suggest outcomes better positive
#120 0.056 virtual world worlds co-creation flow users cognitive life settings environment place environments augmented second intention spatial interactivity ownership objects immersive