{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,30]],"date-time":"2026-07-30T02:24:14Z","timestamp":1785378254510,"version":"3.55.0"},"reference-count":37,"publisher":"Emerald","issue":"4","license":[{"start":{"date-parts":[[2016,8,1]],"date-time":"2016-08-01T00:00:00Z","timestamp":1470009600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.emerald.com\/insight\/site-policies"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2016,8,1]]},"abstract":"<jats:sec>\n               <jats:title content-type=\"abstract-heading\">Purpose<\/jats:title>\n               <jats:p> \u2013 Social capital has been identified as a valuable resource that can lead to various positive outcomes of social activities in both online and offline communities. The purpose of this paper is to argue that social capital can also be an important ingredient in the development of adverse outcomes, such as technology addiction. <\/jats:p>\n            <\/jats:sec>\n            <jats:sec>\n               <jats:title content-type=\"abstract-heading\">Design\/methodology\/approach<\/jats:title>\n               <jats:p> \u2013 Based on social capital theory and prior research related to perceived integration, a research model that reflects the effects of online and offline social capitals as well as perceived integration on mobile social networking service (SNS) addiction was developed and empirically examined based on data collected from 458 mobile SNS users in China. <\/jats:p>\n            <\/jats:sec>\n            <jats:sec>\n               <jats:title content-type=\"abstract-heading\">Findings<\/jats:title>\n               <jats:p> \u2013 The structural equation modeling analysis shows that online social interaction ties and online social supports positively affect mobile SNS addiction, whereas offline social supports and online social identification negatively affect mobile SNS addiction. In addition, perceived integration between online and offline channels by using mobile SNS positively influences online social interaction ties, offline social interaction ties, and mobile SNS addiction. <\/jats:p>\n            <\/jats:sec>\n            <jats:sec>\n               <jats:title content-type=\"abstract-heading\">Practical implications<\/jats:title>\n               <jats:p> \u2013 From the practical perspective, the results of the study offer interesting implications for managing mobile SNS addiction. The study found that online social interaction ties and online social support positively influence mobile SNS addiction, whereas offline social support negatively influence mobile SNS addiction. <\/jats:p>\n            <\/jats:sec>\n            <jats:sec>\n               <jats:title content-type=\"abstract-heading\">Social implications<\/jats:title>\n               <jats:p> \u2013 The mobile SNS users should invest more time to participate in offline social activities and maintain good social relationships with their family, colleagues, and friends in the real world. <\/jats:p>\n            <\/jats:sec>\n            <jats:sec>\n               <jats:title content-type=\"abstract-heading\">Originality\/value<\/jats:title>\n               <jats:p> \u2013 The present study has both theoretical and practical implications. From a theoretical perspective, unlike many previous studies tend to regard social capital as the predictor of positive outcomes of users\u2019 social activities, the study contributes to the extant information systems literature by exploring the potential negative consequences of social capital on users\u2019 social lives. The results of the study indicate that social capital is a significant predictor of mobile SNS addiction.<\/jats:p>\n            <\/jats:sec>","DOI":"10.1108\/intr-01-2015-0010","type":"journal-article","created":{"date-parts":[[2016,7,7]],"date-time":"2016-07-07T04:28:41Z","timestamp":1467865721000},"page":"982-1000","source":"Crossref","is-referenced-by-count":110,"title":["Social capital on mobile SNS addiction"],"prefix":"10.1108","volume":"26","author":[{"given":"Shuiqing","family":"Yang","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yuan","family":"Liu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"June","family":"Wei","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"140","reference":[{"key":"key2020121403063296700_b1","doi-asserted-by":"crossref","unstructured":"Chiu, C.-M.\n               , \n                  Hsu, M.-H.\n                and \n                  Wang, E.T.\n                (2006), \u201cUnderstanding knowledge sharing in virtual communities: an integration of social capital and social cognitive theories\u201d, \n                  Decision Support Systems\n               , Vol. 42 No. 3, pp. 1872-1888.","DOI":"10.1016\/j.dss.2006.04.001"},{"key":"key2020121403063296700_b2","doi-asserted-by":"crossref","unstructured":"Chow, W.S.\n                and \n                  Chan, L.S.\n                (2008), \u201cSocial network, social trust and shared goals in organizational knowledge sharing\u201d, \n                  Information & Management\n               , Vol. 45 No. 7, pp. 458-465.","DOI":"10.1016\/j.im.2008.06.007"},{"key":"key2020121403063296700_b3","doi-asserted-by":"crossref","unstructured":"Churchill, G. 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