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The structural equation modelling (SEM) technique was employed to test the proposed research model and hypotheses.<\/jats:p><\/jats:sec><jats:sec><jats:title content-type=\"abstract-subheading\">Findings<\/jats:title><jats:p>The findings suggested that system, information and service quality significantly affected the perceived utilitarian value, while service quality and new product novelty had significant impact on perceived hedonic value. Besides, both the perceived utilitarian value and the perceived hedonic value had a significant effect on user satisfaction and further significantly impacted user loyalty. The authors also found user differences, including gender, education level and use frequency, which had a significant influence on perceived utilitarian value, perceived hedonic value and user loyalty.<\/jats:p><\/jats:sec><jats:sec><jats:title content-type=\"abstract-subheading\">Research limitations\/implications<\/jats:title><jats:p>The results can help researchers and practitioners better understanding the factors that influence user satisfaction and loyalty with paid knowledge platforms.<\/jats:p><\/jats:sec><jats:sec><jats:title content-type=\"abstract-subheading\">Originality\/value<\/jats:title><jats:p>The authors applied the theories of perceived value, new product novelty and user loyalty to the domain of paid knowledge platforms and explored the factors influencing the user satisfaction and loyalty to paid knowledge platforms.<\/jats:p><\/jats:sec>","DOI":"10.1108\/ajim-07-2020-0228","type":"journal-article","created":{"date-parts":[[2020,12,2]],"date-time":"2020-12-02T00:26:53Z","timestamp":1606868813000},"page":"254-270","source":"Crossref","is-referenced-by-count":29,"title":["Examining the factors influencing user satisfaction and loyalty on paid knowledge platforms"],"prefix":"10.1108","volume":"73","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-4371-7530","authenticated-orcid":false,"given":"Xiaopu","family":"Jin","sequence":"first","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4931-7757","authenticated-orcid":false,"given":"Fang","family":"Xu","sequence":"additional","affiliation":[]}],"member":"140","reference":[{"key":"key2021022303514367000_ref001","volume-title":"Understanding Attitudes and Predicting Social Behaviour","year":"1980"},{"key":"key2021022303514367000_ref002","unstructured":"Ajzen, I., Fishbein, M., Lohmann, S. and Albarrac\u00edn, D. 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