Cross-Sectional Study on Relationships Among FoMO, Social Influence, Positive Outcome Expectancy, Refusal Self-Efficacy and SNS Usage
Objectives: Use of social networking sites (SNS; i.e., Facebook or Instagram) is common, and people use SNS to communicate and share information. Literature indicates the extent of SNS usage could be influenced by fear of missing out (FoMO). FoMO means a process of appraisal and psychological need f...
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Veröffentlicht in: | International journal of environmental research and public health 2020-08, Vol.17 (16), p.5907 |
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description | Objectives: Use of social networking sites (SNS; i.e., Facebook or Instagram) is common, and people use SNS to communicate and share information. Literature indicates the extent of SNS usage could be influenced by fear of missing out (FoMO). FoMO means a process of appraisal and psychological need for SNS use. This study proposes a model that integrates three determinants of social cognitive theory (SCT) to explain the impact of FoMO on SNS usage. Design: A cross-sectional study was conducted using data from 259 participants recruited from a website. Main Outcome Measures: The analysis focused on FoMO, social influence, positive outcome expectancy, refusal self-efficacy, and SNS-related behavior cloud-based sites. Data are examined using descriptive analysis and structural equation modeling. Results: The proposed model reported proper goodness of fit. FoMO did not directly or indirectly impact SNS usage through the determinants of SCT. However, social influence and refusal self-efficacy had a direct effect. Conclusions: The roles of the three determinants of SCT vary by stage of SNS usage. FoMO and refusal self-efficacy are more strongly related with SNS addiction. Further research, particularly longitudinal and intervention studies, is needed to examine the effects of specific factors on SNS addiction. |
doi_str_mv | 10.3390/ijerph17165907 |
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Literature indicates the extent of SNS usage could be influenced by fear of missing out (FoMO). FoMO means a process of appraisal and psychological need for SNS use. This study proposes a model that integrates three determinants of social cognitive theory (SCT) to explain the impact of FoMO on SNS usage. Design: A cross-sectional study was conducted using data from 259 participants recruited from a website. Main Outcome Measures: The analysis focused on FoMO, social influence, positive outcome expectancy, refusal self-efficacy, and SNS-related behavior cloud-based sites. Data are examined using descriptive analysis and structural equation modeling. Results: The proposed model reported proper goodness of fit. FoMO did not directly or indirectly impact SNS usage through the determinants of SCT. However, social influence and refusal self-efficacy had a direct effect. Conclusions: The roles of the three determinants of SCT vary by stage of SNS usage. FoMO and refusal self-efficacy are more strongly related with SNS addiction. Further research, particularly longitudinal and intervention studies, is needed to examine the effects of specific factors on SNS addiction.</description><identifier>ISSN: 1660-4601</identifier><identifier>ISSN: 1661-7827</identifier><identifier>EISSN: 1660-4601</identifier><identifier>DOI: 10.3390/ijerph17165907</identifier><identifier>PMID: 32823977</identifier><language>eng</language><publisher>Basel: MDPI AG</publisher><subject>Addictions ; Addictive behaviors ; Age ; Behavior ; Cellular telephones ; Cross-sectional studies ; Determinants ; Expectancy ; Goodness of fit ; Hypotheses ; Influence ; Internet ; Likert scale ; Multivariate statistical analysis ; Questionnaires ; Self-efficacy ; Social networks ; Social organization ; Social research ; Students ; Studies ; Theory ; Websites</subject><ispartof>International journal of environmental research and public health, 2020-08, Vol.17 (16), p.5907</ispartof><rights>2020. This work is licensed under http://creativecommons.org/licenses/by/3.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>2020 by the authors. 2020</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c395t-f276bd780de6da8892e1e868161b604928cf267b4ede8d10b68c728be4e2f7a33</citedby><cites>FETCH-LOGICAL-c395t-f276bd780de6da8892e1e868161b604928cf267b4ede8d10b68c728be4e2f7a33</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC7459540/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC7459540/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,727,780,784,885,27924,27925,53791,53793</link.rule.ids></links><search><creatorcontrib>Lee, Kun-Hua</creatorcontrib><creatorcontrib>Lin, Chia-Yu</creatorcontrib><creatorcontrib>Tsao, Jing</creatorcontrib><creatorcontrib>Hsieh, Lien Fang</creatorcontrib><title>Cross-Sectional Study on Relationships Among FoMO, Social Influence, Positive Outcome Expectancy, Refusal Self-Efficacy and SNS Usage</title><title>International journal of environmental research and public health</title><description>Objectives: Use of social networking sites (SNS; i.e., Facebook or Instagram) is common, and people use SNS to communicate and share information. Literature indicates the extent of SNS usage could be influenced by fear of missing out (FoMO). FoMO means a process of appraisal and psychological need for SNS use. This study proposes a model that integrates three determinants of social cognitive theory (SCT) to explain the impact of FoMO on SNS usage. Design: A cross-sectional study was conducted using data from 259 participants recruited from a website. Main Outcome Measures: The analysis focused on FoMO, social influence, positive outcome expectancy, refusal self-efficacy, and SNS-related behavior cloud-based sites. Data are examined using descriptive analysis and structural equation modeling. Results: The proposed model reported proper goodness of fit. FoMO did not directly or indirectly impact SNS usage through the determinants of SCT. However, social influence and refusal self-efficacy had a direct effect. Conclusions: The roles of the three determinants of SCT vary by stage of SNS usage. FoMO and refusal self-efficacy are more strongly related with SNS addiction. Further research, particularly longitudinal and intervention studies, is needed to examine the effects of specific factors on SNS addiction.</description><subject>Addictions</subject><subject>Addictive behaviors</subject><subject>Age</subject><subject>Behavior</subject><subject>Cellular telephones</subject><subject>Cross-sectional studies</subject><subject>Determinants</subject><subject>Expectancy</subject><subject>Goodness of fit</subject><subject>Hypotheses</subject><subject>Influence</subject><subject>Internet</subject><subject>Likert scale</subject><subject>Multivariate statistical analysis</subject><subject>Questionnaires</subject><subject>Self-efficacy</subject><subject>Social networks</subject><subject>Social organization</subject><subject>Social research</subject><subject>Students</subject><subject>Studies</subject><subject>Theory</subject><subject>Websites</subject><issn>1660-4601</issn><issn>1661-7827</issn><issn>1660-4601</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><recordid>eNpdkU1v1DAQhi0Eoh9w5WyJC4dN8UfijwtStdpCpcIiQs-R44x3vUrsECdV9wfwv5vQClFOHnkePTOaF6F3lFxwrslHf4Ch31NJRaGJfIFOqRAkywWhL_-pT9BZSgdCuMqFfo1OOFOMaylP0e_1EFPKSrCjj8G0uByn5ohjwD-gNctf2vs-4csuhh2-il-3K1xG62fyOrh2gmBhhb_H5Ed_B3g7jTZ2gDf3_Ww0wR5Xs8hNaTFD67KNc94ae8QmNLj8VuLbZHbwBr1ypk3w9uk9R7dXm5_rL9nN9vP1-vIms1wXY-aYFHUjFWlANEYpzYCCEooKWguSa6asY0LWOTSgGkpqoaxkqoYcmJOG83P06dHbT3UHjYUwDqat-sF3ZjhW0fjqeSf4fbWLd5XMC13kZBZ8eBIM8dcEaaw6nyy0rQkQp1SxnAuuaS6XWe__Qw9xGuYT_6EKxticwkxdPFJ2yWEA93cZSqol4ep5wvwBYeSaGw</recordid><startdate>20200814</startdate><enddate>20200814</enddate><creator>Lee, Kun-Hua</creator><creator>Lin, Chia-Yu</creator><creator>Tsao, Jing</creator><creator>Hsieh, Lien Fang</creator><general>MDPI AG</general><general>MDPI</general><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8C1</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>K9.</scope><scope>M0S</scope><scope>M1P</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>7X8</scope><scope>5PM</scope></search><sort><creationdate>20200814</creationdate><title>Cross-Sectional Study on Relationships Among FoMO, Social Influence, Positive Outcome Expectancy, Refusal Self-Efficacy and SNS Usage</title><author>Lee, Kun-Hua ; Lin, Chia-Yu ; Tsao, Jing ; Hsieh, Lien Fang</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c395t-f276bd780de6da8892e1e868161b604928cf267b4ede8d10b68c728be4e2f7a33</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2020</creationdate><topic>Addictions</topic><topic>Addictive behaviors</topic><topic>Age</topic><topic>Behavior</topic><topic>Cellular telephones</topic><topic>Cross-sectional studies</topic><topic>Determinants</topic><topic>Expectancy</topic><topic>Goodness of fit</topic><topic>Hypotheses</topic><topic>Influence</topic><topic>Internet</topic><topic>Likert scale</topic><topic>Multivariate statistical analysis</topic><topic>Questionnaires</topic><topic>Self-efficacy</topic><topic>Social networks</topic><topic>Social organization</topic><topic>Social research</topic><topic>Students</topic><topic>Studies</topic><topic>Theory</topic><topic>Websites</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Lee, Kun-Hua</creatorcontrib><creatorcontrib>Lin, Chia-Yu</creatorcontrib><creatorcontrib>Tsao, Jing</creatorcontrib><creatorcontrib>Hsieh, Lien Fang</creatorcontrib><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>Public Health Database</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Publicly Available Content Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>International journal of environmental research and public health</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Lee, Kun-Hua</au><au>Lin, Chia-Yu</au><au>Tsao, Jing</au><au>Hsieh, Lien Fang</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Cross-Sectional Study on Relationships Among FoMO, Social Influence, Positive Outcome Expectancy, Refusal Self-Efficacy and SNS Usage</atitle><jtitle>International journal of environmental research and public health</jtitle><date>2020-08-14</date><risdate>2020</risdate><volume>17</volume><issue>16</issue><spage>5907</spage><pages>5907-</pages><issn>1660-4601</issn><issn>1661-7827</issn><eissn>1660-4601</eissn><abstract>Objectives: Use of social networking sites (SNS; i.e., Facebook or Instagram) is common, and people use SNS to communicate and share information. Literature indicates the extent of SNS usage could be influenced by fear of missing out (FoMO). FoMO means a process of appraisal and psychological need for SNS use. This study proposes a model that integrates three determinants of social cognitive theory (SCT) to explain the impact of FoMO on SNS usage. Design: A cross-sectional study was conducted using data from 259 participants recruited from a website. Main Outcome Measures: The analysis focused on FoMO, social influence, positive outcome expectancy, refusal self-efficacy, and SNS-related behavior cloud-based sites. Data are examined using descriptive analysis and structural equation modeling. Results: The proposed model reported proper goodness of fit. FoMO did not directly or indirectly impact SNS usage through the determinants of SCT. However, social influence and refusal self-efficacy had a direct effect. Conclusions: The roles of the three determinants of SCT vary by stage of SNS usage. FoMO and refusal self-efficacy are more strongly related with SNS addiction. Further research, particularly longitudinal and intervention studies, is needed to examine the effects of specific factors on SNS addiction.</abstract><cop>Basel</cop><pub>MDPI AG</pub><pmid>32823977</pmid><doi>10.3390/ijerph17165907</doi><oa>free_for_read</oa></addata></record> |
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subjects | Addictions Addictive behaviors Age Behavior Cellular telephones Cross-sectional studies Determinants Expectancy Goodness of fit Hypotheses Influence Internet Likert scale Multivariate statistical analysis Questionnaires Self-efficacy Social networks Social organization Social research Students Studies Theory Websites |
title | Cross-Sectional Study on Relationships Among FoMO, Social Influence, Positive Outcome Expectancy, Refusal Self-Efficacy and SNS Usage |
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