Product fit uncertainty and its effects on vendor choice: an experimental study

被引:24
作者
Matt, Christian [1 ]
Hess, Thomas [1 ]
机构
[1] Inst Informat Syst & New Media, Ludwigstr 28 VG, D-80539 Munich, Germany
关键词
Product fit uncertainty; Product evaluation; Experience goods; TRUST-ASSURING ARGUMENTS; TASK-TECHNOLOGY FIT; B2C E-COMMERCE; EXPERIENCE GOODS; PROSPECT-THEORY; ONLINE MARKETS; CONSUMER SATISFACTION; RECOMMENDATION AGENTS; ELECTRONIC COMMERCE; INTERNET STORES;
D O I
10.1007/s12525-015-0199-5
中图分类号
F [经济];
学科分类号
02 ;
摘要
Recommender systems and other Internet-enabled technologies have changed the surrounding conditions of pre-purchase evaluations on the Internet. In some cases consumers can now sample entire products prior to a purchase - hereby removing all uncertainty about whether a product fits their taste. While previous research has mainly focused on vendor and product quality uncertainty, it is still not clear how declining product fit uncertainty affects consumers. To close this gap, we conducted a laboratory experiment to analyze the effects on consumers' vendor selection. We find that full elimination of product fit uncertainty is beneficial for vendors, as it increases both the number of purchases and consumer loyalty. Interestingly, if product fit uncertainty is only partially eliminated, consumers do not necessarily show differential behavior for different levels of remaining product fit uncertainty. This has important implications for online vendors that consider the implementation of additional means to reduce product fit uncertainty.
引用
收藏
页码:83 / 93
页数:11
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