How compulsive use of social media affects performance: insights from the UK by purpose of use.
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| Title: | How compulsive use of social media affects performance: insights from the UK by purpose of use. |
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| Authors: | Benson, Vladlena, Hand, Chris, Hartshorne, Richard |
| Source: | Behaviour & Information Technology. Jun2019, Vol. 38 Issue 6, p549-563. 15p. 1 Diagram, 7 Charts. |
| Subjects: | Academic achievement evaluation, College students, Chi-squared test, Compulsive behavior, Statistical correlation, Job satisfaction, Social skills, Surveys, Job performance, Body movement, Social media, Data analysis software, Descriptive statistics |
| Geographic Terms: | United Kingdom |
| Abstract: | Positive outcomes of social networking use in both informal and non-educational settings have attracted significant research attention. These benefits include social capital formation, higher job performance and satisfaction, an increased sense of belonging, improved knowledge management skills, and enabling of life-long learning opportunities. Compulsive use of social networking, however, remains a major issue among the younger users, potentially leaving a long-lasting impact on the younger population. Concerns have been raised regarding links between the compulsive use of social media and individual academic, social and physical performance. This study explores the motivations for social networking use, their relations to compulsive use, and implications for academic, physical and social performance, in an effort to inform strategies for the appropriate adoption and utilisation of social networking technologies. The study employs a finite mixture approach to segmenting the sample, and results show that two distinct groups motivated by utilitarian and social objectives respectively drive compulsive use by British students. Unlike previous studies, the UK sample does not display differences in terms of age or gender. This finding highlights the trend of gender agnostic views of social platforms by developers. The paper concludes with a discussion of the implications for practice and future research. [ABSTRACT FROM AUTHOR] |
| Copyright of Behaviour & Information Technology is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Psychology and Behavioral Sciences Collection |
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| FullText | Links: – Type: pdflink Text: Availability: 1 |
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| Header | DbId: pbh DbLabel: Psychology and Behavioral Sciences Collection An: 136461175 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: How compulsive use of social media affects performance: insights from the UK by purpose of use. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Benson%2C+Vladlena%22">Benson, Vladlena</searchLink><br /><searchLink fieldCode="AR" term="%22Hand%2C+Chris%22">Hand, Chris</searchLink><br /><searchLink fieldCode="AR" term="%22Hartshorne%2C+Richard%22">Hartshorne, Richard</searchLink> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Behaviour+%26+Information+Technology%22">Behaviour & Information Technology</searchLink>. Jun2019, Vol. 38 Issue 6, p549-563. 15p. 1 Diagram, 7 Charts. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Academic+achievement+evaluation%22">Academic achievement evaluation</searchLink><br /><searchLink fieldCode="DE" term="%22College+students%22">College students</searchLink><br /><searchLink fieldCode="DE" term="%22Chi-squared+test%22">Chi-squared test</searchLink><br /><searchLink fieldCode="DE" term="%22Compulsive+behavior%22">Compulsive behavior</searchLink><br /><searchLink fieldCode="DE" term="%22Statistical+correlation%22">Statistical correlation</searchLink><br /><searchLink fieldCode="DE" term="%22Job+satisfaction%22">Job satisfaction</searchLink><br /><searchLink fieldCode="DE" term="%22Social+skills%22">Social skills</searchLink><br /><searchLink fieldCode="DE" term="%22Surveys%22">Surveys</searchLink><br /><searchLink fieldCode="DE" term="%22Job+performance%22">Job performance</searchLink><br /><searchLink fieldCode="DE" term="%22Body+movement%22">Body movement</searchLink><br /><searchLink fieldCode="DE" term="%22Social+media%22">Social media</searchLink><br /><searchLink fieldCode="DE" term="%22Data+analysis+software%22">Data analysis software</searchLink><br /><searchLink fieldCode="DE" term="%22Descriptive+statistics%22">Descriptive statistics</searchLink> – Name: SubjectGeographic Label: Geographic Terms Group: Su Data: <searchLink fieldCode="DE" term="%22United+Kingdom%22">United Kingdom</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: Positive outcomes of social networking use in both informal and non-educational settings have attracted significant research attention. These benefits include social capital formation, higher job performance and satisfaction, an increased sense of belonging, improved knowledge management skills, and enabling of life-long learning opportunities. Compulsive use of social networking, however, remains a major issue among the younger users, potentially leaving a long-lasting impact on the younger population. Concerns have been raised regarding links between the compulsive use of social media and individual academic, social and physical performance. This study explores the motivations for social networking use, their relations to compulsive use, and implications for academic, physical and social performance, in an effort to inform strategies for the appropriate adoption and utilisation of social networking technologies. The study employs a finite mixture approach to segmenting the sample, and results show that two distinct groups motivated by utilitarian and social objectives respectively drive compulsive use by British students. Unlike previous studies, the UK sample does not display differences in terms of age or gender. This finding highlights the trend of gender agnostic views of social platforms by developers. The paper concludes with a discussion of the implications for practice and future research. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Behaviour & Information Technology is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=pbh&AN=136461175 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1080/0144929X.2018.1539518 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 15 StartPage: 549 Subjects: – SubjectFull: Academic achievement evaluation Type: general – SubjectFull: College students Type: general – SubjectFull: Chi-squared test Type: general – SubjectFull: Compulsive behavior Type: general – SubjectFull: Statistical correlation Type: general – SubjectFull: Job satisfaction Type: general – SubjectFull: Social skills Type: general – SubjectFull: Surveys Type: general – SubjectFull: Job performance Type: general – SubjectFull: Body movement Type: general – SubjectFull: Social media Type: general – SubjectFull: Data analysis software Type: general – SubjectFull: Descriptive statistics Type: general – SubjectFull: United Kingdom Type: general Titles: – TitleFull: How compulsive use of social media affects performance: insights from the UK by purpose of use. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Benson, Vladlena – PersonEntity: Name: NameFull: Hand, Chris – PersonEntity: Name: NameFull: Hartshorne, Richard IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 06 Text: Jun2019 Type: published Y: 2019 Identifiers: – Type: issn-print Value: 0144929X Numbering: – Type: volume Value: 38 – Type: issue Value: 6 Titles: – TitleFull: Behaviour & Information Technology Type: main |
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