{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,12,23]],"date-time":"2025-12-23T10:44:01Z","timestamp":1766486641098,"version":"3.41.2"},"reference-count":69,"publisher":"Emerald","issue":"7","license":[{"start":{"date-parts":[[2023,3,20]],"date-time":"2023-03-20T00:00:00Z","timestamp":1679270400000},"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":[[2024,6,13]]},"abstract":"<jats:sec><jats:title content-type=\"abstract-subheading\">Purpose<\/jats:title><jats:p>The current study aims to empirically analyze the influence of different information sources, together with the persuasiveness of recommender systems (RSs) on the consumer\u2019s purchase intention (PI). It\u00a0also expands the research on RSs from the point of view of consumer behavior and psychology, considering perceived usefulness and relevance. In addition, it analyzes how different types of personalized recommendations, along with non-personalized ones, influence PI.<\/jats:p><\/jats:sec><jats:sec><jats:title content-type=\"abstract-subheading\">Design\/methodology\/approach<\/jats:title><jats:p>The proposed model has been validated using partial least squares structural equation modeling (PLS-SEM), based on the data collected from 597 online shoppers.<\/jats:p><\/jats:sec><jats:sec><jats:title content-type=\"abstract-subheading\">Findings<\/jats:title><jats:p>This study proves that both information search and RSs influence PI, being complementary rather than mutually exclusive. Recommender systems\u2019 findings indicate that the PI is primarily influenced by the\u00a0perceived relevance of RSs, the information provided by manufacturers and reviews. Moreover, only the influence of the perceived usefulness of personalized recommendations strongly affects PI. Conversely, non-personalized recommendations do not affect PI.<\/jats:p><\/jats:sec><jats:sec><jats:title content-type=\"abstract-subheading\">Practical implications<\/jats:title><jats:p>Developers should focus on increasing the perceived usefulness and relevance of RSs. Thus, they could adopt the hybridization of RSs with the aggregation of both personal shopping behavior and social network contacts. It should integrate information signals from multiple sources to include sentiment extracted from reviews or links to the manufacturer\u2019s page. Furthermore, the recommendation of discounted products must be only for products preferred by customers, because only these influence the PI.<\/jats:p><\/jats:sec><jats:sec><jats:title content-type=\"abstract-subheading\">Originality\/value<\/jats:title><jats:p>This research provides a structural model that examines together, for the first time, the influence on the PI of the main RSs and sources of information.<\/jats:p><\/jats:sec>","DOI":"10.1108\/k-08-2022-1145","type":"journal-article","created":{"date-parts":[[2023,3,17]],"date-time":"2023-03-17T03:24:46Z","timestamp":1679023486000},"page":"2301-2321","source":"Crossref","is-referenced-by-count":13,"title":["The effect of perceived usefulness of recommender systems and information sources on\u00a0purchase intention"],"prefix":"10.1108","volume":"53","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-0277-9700","authenticated-orcid":false,"given":"Daniel","family":"Mican","sequence":"first","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5360-3874","authenticated-orcid":false,"given":"Dan-Andrei","family":"Sitar-Taut","sequence":"additional","affiliation":[]}],"member":"140","published-online":{"date-parts":[[2023,3,20]]},"reference":[{"key":"key2024061302521952800_ref001","doi-asserted-by":"crossref","first-page":"478","DOI":"10.1016\/j.chaos.2018.07.032","article-title":"A novel method for a fractional derivative with non-local and non-singular kernel","volume":"114","year":"2018","journal-title":"Chaos, Solitons and Fractals"},{"key":"key2024061302521952800_ref002","doi-asserted-by":"crossref","first-page":"65","DOI":"10.1016\/j.ijinfomgt.2018.06.001","article-title":"Investigating the impact of social media advertising features on customer purchase intention","volume":"42","year":"2018","journal-title":"International Journal of Information Management"},{"issue":"4","key":"key2024061302521952800_ref003","doi-asserted-by":"crossref","first-page":"643","DOI":"10.1007\/s11002-014-9299-9","article-title":"How collinearity affects mixture regression results","volume":"26","year":"2015","journal-title":"Marketing Letters"},{"key":"key2024061302521952800_ref004","doi-asserted-by":"crossref","first-page":"109","DOI":"10.1016\/j.knosys.2013.03.012","article-title":"Recommender systems survey","volume":"46","year":"2013","journal-title":"Knowledge-Based Systems"},{"issue":"3","key":"key2024061302521952800_ref005","doi-asserted-by":"crossref","first-page":"363","DOI":"10.1080\/00913367.2017.1339368","article-title":"Online behavioral advertising: a\u00a0literature review and research agenda","volume":"46","year":"2017","journal-title":"Journal of Advertising"},{"key":"key2024061302521952800_ref006","article-title":"The effect of specific discount pattern in terms of price promotions on perceived price attractiveness and purchase intention: an experimental research","volume":"55","year":"2020","journal-title":"Journal of Retailing and Consumer Services"},{"issue":"2","key":"key2024061302521952800_ref007","first-page":"57","article-title":"Influential factors for online impulse buying in China: a model and its empirical analysis","volume":"11","year":"2015","journal-title":"International Management Rev"},{"issue":"2","key":"key2024061302521952800_ref008","doi-asserted-by":"crossref","first-page":"467","DOI":"10.1016\/j.jbusres.2015.05.003","article-title":"The effect of online information sources on purchase intentions between consumers with high and low susceptibility to informational influence","volume":"69","year":"2016","journal-title":"Journal of Business Research"},{"year":"2004","key":"key2024061302521952800_ref009","article-title":"The impact of online recommendations and consumer feedback on sales"},{"key":"key2024061302521952800_ref010","doi-asserted-by":"crossref","first-page":"4","DOI":"10.1016\/j.ijhcs.2017.09.005","article-title":"User perception of sentiment-integrated critiquing in recommender systems","volume":"121","year":"2019","journal-title":"International Journal of Human Computer Studies"},{"first-page":"240","article-title":"How serendipity improves user satisfaction with recommendations? 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