{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,17]],"date-time":"2025-10-17T14:13:49Z","timestamp":1760710429258,"version":"3.41.2"},"reference-count":37,"publisher":"Emerald","issue":"9","license":[{"start":{"date-parts":[[2020,12,30]],"date-time":"2020-12-30T00:00:00Z","timestamp":1609286400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.emerald.com\/insight\/site-policies"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["K"],"published-print":{"date-parts":[[2021,8,9]]},"abstract":"<jats:sec>\n<jats:title content-type=\"abstract-subheading\">Purpose<\/jats:title>\n<jats:p>In recent years, the updating speed of products has been significantly accelerated, which not only provides diversified styles for consumers to select from but also makes consumers face selection problems sometimes. In addition, a large number of online reviews for products emerge on many e-commerce websites and influence consumers\u2019 purchasing decisions. The purpose of this study is to propose a method for product selection considering consumer\u2019s expectations and online reviews to support consumers\u2019 purchasing decisions.<\/jats:p>\n<\/jats:sec>\n<jats:sec>\n<jats:title content-type=\"abstract-subheading\">Design\/methodology\/approach<\/jats:title>\n<jats:p>The product attributes are divided into two categories, i.e. demand attributes and word-of-mouth (WOM) attributes. For the demand attributes, for which the consumers can give specific quantified expectations, the value function of prospect theory is used to determine the consumer\u2019s perceived values to the alternative products according to consumers\u2019 expectations for these attributes and products\u2019 specifications. For the WOM attributes, for which the consumers cannot give specific quantified expectations, the sentiment analysis method is used to identify the sentiment strengths for these attributes in the online reviews, and then the consumer\u2019s perceived values to the alternative products are determined. On this basis, the product selection methods for single consumers and group consumers are given respectively.<\/jats:p>\n<\/jats:sec>\n<jats:sec>\n<jats:title content-type=\"abstract-subheading\">Findings<\/jats:title>\n<jats:p>Finally, taking the data of JD.com (<jats:ext-link xmlns:xlink=\"http:\/\/www.w3.org\/1999\/xlink\" ext-link-type=\"uri\" xlink:href=\"https:\/\/www.jd.com\/\">https:\/\/www.jd.com\/<\/jats:ext-link>) as an example, the practicability and rationality of the method proposed in this paper is validated.<\/jats:p>\n<\/jats:sec>\n<jats:sec>\n<jats:title content-type=\"abstract-subheading\">Originality\/value<\/jats:title>\n<jats:p>First, a new product selection problem considering consumer\u2019s expectations and online reviews is extracted. Second, the product attributes are considered more comprehensively and are classified into two main categories. Third, the bounded rationality of the consumers in the decision-making process is described more reasonably. Fourth, the sentiment dictionaries for each WOM attribute are constructed and the algorithm step of identifying the sentiment strengths is designed, which can help to identify the sentiment strengths in the online reviews more accurately. Fifth, the situation that a group plans to purchase the same products and the members have inconsistent expectations for the product attributes is considered.<\/jats:p>\n<\/jats:sec>","DOI":"10.1108\/k-07-2020-0432","type":"journal-article","created":{"date-parts":[[2020,12,30]],"date-time":"2020-12-30T23:18:36Z","timestamp":1609370316000},"page":"2488-2520","source":"Crossref","is-referenced-by-count":8,"title":["Method for product selection considering consumer\u2019s expectations and online 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