{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,11]],"date-time":"2026-02-11T13:58:49Z","timestamp":1770818329035,"version":"3.50.1"},"reference-count":0,"publisher":"World Scientific Pub Co Pte Lt","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["J. Info. Know. Mgmt."],"abstract":"<jats:p> This study aims to investigate the influence of presentation and sentiment orientation of user-generated ideas and reviews on idea adoption in open innovation communities (OICs). Drawing on the social influence theory, this study develops a research model that divides idea components into informational and normative determinants. The sentiment orientation of the idea title, description, and associated reviews is determined using a lexicon-based sentiment analysis approach. The research model is empirically tested using logistic regression analysis based on a dataset from the Microsoft community for business analytics products. The results reveal that the sentiment orientation of idea title has a negative influence on idea adoption, whilst the sentiment orientation of description has no influence on idea adoption. The sentiment orientation of the associated reviews has a positive influence on idea adoption, and this influence is moderated by the number of reviews. In addition, both idea title length and description length have a positive influence on idea adoption. These results offer several theoretical and practical implications and should therefore contribute to a better understanding of how user-generated ideas can be leveraged to drive innovation development and sustainability in OICs. <\/jats:p>","DOI":"10.1142\/s0219649221500313","type":"journal-article","created":{"date-parts":[[2021,6,18]],"date-time":"2021-06-18T06:22:13Z","timestamp":1623997333000},"page":"2150031","source":"Crossref","is-referenced-by-count":15,"title":["The Influence of Sentiment Orientation in Open Innovation Communities: Empirical Evidence from a Business Analytics Community"],"prefix":"10.1142","author":[{"given":"Mohammad","family":"Daradkeh","sequence":"first","affiliation":[{"name":"Department of Information Technology, Faculty of Information Technology and Computer Sciences, Yarmouk University, 566, Irbid 21163, Jordan"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"219","published-online":{"date-parts":[[2021,6,17]]},"container-title":["Journal of Information &amp; Knowledge Management"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.worldscientific.com\/doi\/pdf\/10.1142\/S0219649221500313","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2021,6,18]],"date-time":"2021-06-18T06:22:13Z","timestamp":1623997333000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.worldscientific.com\/doi\/abs\/10.1142\/S0219649221500313"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,6,17]]},"references-count":0,"alternative-id":["10.1142\/S0219649221500313"],"URL":"https:\/\/doi.org\/10.1142\/s0219649221500313","relation":{},"ISSN":["0219-6492","1793-6926"],"issn-type":[{"value":"0219-6492","type":"print"},{"value":"1793-6926","type":"electronic"}],"subject":[],"published":{"date-parts":[[2021,6,17]]}}}