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Product type
About: Product type is a research topic. Over the lifetime, 1528 publications have been published within this topic receiving 36928 citations.
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TL;DR: Drawing on the paradigm of search and experience goods from information economics, a model of customer review helpfulness is developed and tested and indicates that review extremity, review depth, and product type affect the perceived helpfulness of the review.
Abstract: Customer reviews are increasingly available online for a wide range of products and services. They supplement other information provided by electronic storefronts such as product descriptions, reviews from experts, and personalized advice generated by automated recommendation systems. While researchers have demonstrated the benefits of the presence of customer reviews to an online retailer, a largely uninvestigated issue is what makes customer reviews helpful to a consumer in the process of making a purchase decision. Drawing on the paradigm of search and experience goods from information economics, we develop and test a model of customer review helpfulness. An analysis of 1,587 reviews from Amazon.com across six products indicated that review extremity, review depth, and product type affect the perceived helpfulness of the review. Product type moderates the effect of review extremity on the helpfulness of the review. For experience goods, reviews with extreme ratings are less helpful than reviews with moderate ratings. For both product types, review depth has a positive effect on the helpfulness of the review, but the product type moderates the effect of review depth on the helpfulness of the review. Review depth has a greater positive effect on the helpfulness of the review for search goods than for experience goods. We discuss the implications of our findings for both theory and practice.
2,066 citations
TL;DR: In this paper, the authors developed and tested a model of customer review helpfulness, based on the paradigm of search and experience goods from information economics, and found that review extremity, review depth, and product type affect the perceived helpfulness of the review.
Abstract: Customer reviews are increasingly available online for a wide range of products and services. They supplement other information provided by electronic storefronts such as product descriptions, reviews from experts, and personalized advice generated by automated recommendation systems. While researchers have demonstrated the benefits of the presence of customer reviews to an online retailer, a largely uninvestigated issue is what makes customer reviews helpful to a consumer in the process of making a purchase decision. Drawing on the paradigm of search and experience goods from information economics, we develop and test a model of customer review helpfulness. An analysis of 1,587 reviews from Amazon.com across six products indicated that review extremity, review depth, and product type affect the perceived helpfulness of the review. Product type moderates the effect of review extremity on the helpfulness of the review. For experience goods, reviews with extreme ratings are less helpful than reviews with moderate ratings. For both product types, review depth has a positive effect on the helpfulness of the review, but the product type moderates the effect of review depth on the helpfulness of the review. Review depth has a greater positive effect on the helpfulness of the review for search goods than for experience goods. We discuss the implications of our findings for both theory and practice.
1,199 citations
TL;DR: In this paper, the authors investigate the existence of negative effect in e-WOM consumer reviews for utilitarian versus hedonic products, and investigate the influence of the reader's attributions regarding the reviewer's motivations on this.
1,132 citations
TL;DR: This article developed a typology based upon motivations for shopping online, including convenience, physical store orientation (e.g., immediate possession and social contact), information use in planning and shopping, and variety seeking in the online shopping context.
948 citations
TL;DR: It is argued that agency-related costs and information transfer costs will tend drive the locus of problem-solving in the opposite direction-away from problem-Solving by specialist suppliers, and towards those who directly benefit from a solution and who have difficult-to-transfer local information about a particular application being solved, such as the direct users of a product or service.
Abstract: Those who solve more of a given type of problem tend to get better at it-which suggests that problems of any given type should be brought to specialists for a solution. However, in this paper we argue that agency-related costs and information transfer costs ("sticky" local information) will tend drive the locus of problem-solving in the opposite direction-away from problem-solving by specialist suppliers, and towards those who directly benefit from a solution and who have difficult-to-transfer local information about a particular application being solved, such as the direct users of a product or service. We examine the actual location of design activities in two fields in which custom products are produced by "mass-customization" methods: application-specific integrated circuits (ASICs) and computer telephony integration (CTI) systems. In both, we find that users rather than suppliers are the actual designers of the application-specific portion of the product types examined. We offer anecdotal evidence that the pattern of user-based customization we have documented in these two fields is in fact quite general, and we discuss implications for research and practice.
898 citations