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| Content Provider | Springer Nature Link |
|---|---|
| Author | Matt, Christian Hess, Thomas |
| Copyright Year | 2015 |
| Abstract | 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. |
| Starting Page | 83 |
| Ending Page | 93 |
| Page Count | 11 |
| File Format | |
| ISSN | 10196781 |
| Journal | Electronic Markets |
| Volume Number | 26 |
| Issue Number | 1 |
| e-ISSN | 14228890 |
| Language | English |
| Publisher | Springer Berlin Heidelberg |
| Publisher Date | 2015-09-10 |
| Publisher Place | Berlin, Heidelberg |
| Access Restriction | One Nation One Subscription (ONOS) |
| Subject Keyword | Product fit uncertainty Product evaluation Experience goods IT in Business e-Commerce/e-business |
| Content Type | Text |
| Resource Type | Article |
| Subject | Business and International Management Economics and Econometrics Management of Technology and Innovation Computer Science Applications Marketing |
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