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For improving users' PA and decreasing dropout rates of MFAs, this study intends to gain insights into the effects of major BCTs-based incentive factors on users' PA under MFAs context and the gender differences in their effects.<\/jats:p><\/jats:sec><jats:sec><jats:title content-type=\"abstract-subheading\">Design\/methodology\/approach<\/jats:title><jats:p>Based on self-determination theory, three major incentive factors were chosen from the perspective of self-peer-platform incentives, i.e. self-monitoring (SM), social support (SS) and platform rewards (PR). A dataset of 4,530 users from a popular mobile fitness app was collected and was analyzed using fixed effects models.<\/jats:p><\/jats:sec><jats:sec><jats:title content-type=\"abstract-subheading\">Findings<\/jats:title><jats:p>The results show that all three types of incentive factors are positively associated with users' PA. The estimated effect sizes can be ordered as: SM\u00a0&gt;\u00a0PR\u00a0&gt;\u00a0SS. Moreover, social support has a stronger positive impact on PA of females than males, whereas platform rewards have a weaker positive effect on PA of females than males. In addition, the results also indicate there are no significant gender differences in the effect of self-monitoring.<\/jats:p><\/jats:sec><jats:sec><jats:title content-type=\"abstract-subheading\">Originality\/value<\/jats:title><jats:p>There is insufficient research on systematically examining the effects of different types of incentive factors of MFAs on users' PA in one study. This study extends the current understanding of incentive factors by simultaneously examining different incentive factors and the role of gender. The findings can also provide insightful guidance for the design of MFAs.<\/jats:p><\/jats:sec>","DOI":"10.1108\/itp-10-2020-0705","type":"journal-article","created":{"date-parts":[[2021,5,20]],"date-time":"2021-05-20T01:00:20Z","timestamp":1621472420000},"page":"1054-1072","source":"Crossref","is-referenced-by-count":22,"title":["Understanding the effects of self-peer-platform incentives on users' physical activity in mobile fitness apps: the role of gender"],"prefix":"10.1108","volume":"35","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-5753-9291","authenticated-orcid":false,"given":"Qiuju","family":"Yin","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4943-4080","authenticated-orcid":false,"given":"Lun","family":"Li","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1727-1176","authenticated-orcid":false,"given":"Zhijun","family":"Yan","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4221-8908","authenticated-orcid":false,"given":"Chenxi","family":"Guo","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"140","published-online":{"date-parts":[[2021,5,20]]},"reference":[{"issue":"1","key":"key2022033117110543200_ref001","first-page":"e5","article-title":"Using the internet for health-related activities: findings from a national probability sample","volume":"11","year":"2009","journal-title":"Journal of Medical Internet Research"},{"issue":"4","key":"key2022033117110543200_ref002","doi-asserted-by":"crossref","first-page":"941","DOI":"10.1016\/j.dss.2013.01.003","article-title":"Digital health communities: the effect of their motivation mechanisms","volume":"55","year":"2013","journal-title":"Decision Support Systems"},{"issue":"3","key":"key2022033117110543200_ref003","doi-asserted-by":"crossref","first-page":"377","DOI":"10.1016\/S0005-7894(05)80212-6","article-title":"SM may be necessary for successful weight control","volume":"24","year":"1993","journal-title":"Behavior Therapy"},{"issue":"2","key":"key2022033117110543200_ref004","doi-asserted-by":"crossref","first-page":"248","DOI":"10.1016\/0749-5978(91)90022-L","article-title":"Social cognitive theory of self-regulation","volume":"50","year":"1991","journal-title":"Organizational Behavior and Human Decision Processes"},{"issue":"1","key":"key2022033117110543200_ref005","first-page":"1","article-title":"Social cognitive theory: an agentic perspective","volume":"52","year":"1999","journal-title":"Annual Review of Psychology"},{"key":"key2022033117110543200_ref006","doi-asserted-by":"crossref","first-page":"106313","DOI":"10.1016\/j.chb.2020.106313","article-title":"The relationship between fitness app use and physical activity behavior is mediated by exercise identity","volume":"108","year":"2020","journal-title":"Computers in Human Behavior"},{"key":"key2022033117110543200_ref007","doi-asserted-by":"crossref","first-page":"388","DOI":"10.1016\/j.chb.2016.01.010","article-title":"A multivariate investigation of gender differences in the number of online tests received-checking for perceived self-regulation","volume":"58","year":"2016","journal-title":"Computers in Human Behavior"},{"issue":"4","key":"key2022033117110543200_ref008","doi-asserted-by":"crossref","first-page":"e92","DOI":"10.2196\/jmir.6668","article-title":"Gender-specific determinants and patterns of online health information seeking: results from a representative German health survey","volume":"19","year":"2017","journal-title":"Journal of Medical Internet Research"},{"key":"key2022033117110543200_ref009","doi-asserted-by":"crossref","unstructured":"Bojd, B., Song, X., Tan, Y. and Yan, X. 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