Classroom Companion: Business
Box 1.1 Recommendations as Market Feedback
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Introduction to Digital Economics
Box 1.1 Recommendations as Market Feedback
Recommendation and consumer feed- back are key features in the digital econ- omy. This often generates strong network effects resulting in more customers and more sales and may, sometimes, even lead to de facto monopoly business. Feedback from consumers can either be gathered directly from the consumer or indirectly by observing consumer behavior. One example of direct user feedback is when a consumer is asked to rate or comment on a product or ser- vice after purchase. This information, together with other information the retailer may gather about the consumer, can then be used to increase the sales by recommending other products to the consumer (see . Fig. 1.4 ). Harvesting 1.2 · Definitions 8 1 information about the consumers, both directly and indirectly, is a core activity in the business model of many compa- nies in the digital economy. Reviews and feedback also serve another important role: they build trust in the shopping experience since the cus- tomer can read reviews and feedback from other customers. Such feedback helps remove information asymmetries in the digital economy. Encouraged by feedback and reviews from other cus- tomers, potential new customers will be better informed regarding the product they are about to buy. An example of indirect user feedback is when Google is used for web browsing. Google may then use the search results to build up a user profile so that more and more accurate advertisements can be directed toward the user. This increases the value of Google as a provider of advertise- ments. The importance of indirect feed- back is even more evident for Facebook where use of the “like” button, analysis of texts produced by the user, network of friends, and user activities are run through algorithms to build an accurate picture of the personality of the user. When you buy books from Amazon, they also recom- mend other books that may interest you. This is based on information stored about books you have previously bought or shown an interest in and on books bought by other customers with apparently similar interests. Consumer buys from a retailer The retailer identifies similar products Similar products are recommended to the consumer for purchase * 1 2 3 . Fig. 1.4 Recommendation system. (Authors’ own figure) Download 5.51 Mb. Do'stlaringiz bilan baham: |
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