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![Page 1: CoLIS presentation](https://reader035.fdocument.pub/reader035/viewer/2022062820/58a8bc311a28abbd6b8b67f9/html5/thumbnails/1.jpg)
The role of networking and social media tools during job search: an information behaviour perspective
by John Mowbray@jmowb_napier
Co Authors:Professor Hazel Hall
Professor Robert RaesideDr Pete Robertson
9th International Conference in the Conceptions of Library and Information Science, 20th to 22nd June 2016
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Structure of presentation• Background• Research questions• Method• Theoretical framework• Findings• Discussion• Conclusion
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• 31% in the UK find jobs via their social network
• A deeper understanding of “networking” during job search is required…
• Which (offline/online) sources & behaviours are associated?
Background
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Research questions
• What are the key offline networking behaviours employed by young jobseekers during the job search process?
• How do social media tools support the networking behaviours of the young jobseekers during the job search process?
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Method• Information science journals reviewed systematically
– Information research, JASIST, Library and Information Science Research, The Journal of Academic Librarianship
• Search extended to other databases + search engines– E.g. Emerald Journals, Google Scholar, Sage Journals Online, Science Direct
• Findings drawn from analysis of 63 papers
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Theoretical framework
Theoretical framework
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Findings: themes identified from literature• Social network theory• Networking behaviours
• The adoption of social media tools
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• Weak ties • Propagate information
flow• Provide access to
“new” information
• Strong ties• Mobilise on behalf of
individual• Used by young people
entering labour market
Social network theory: tie strength
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Social network theory: social capital
• Embedded within network
• Can determine quality of job information received
• Young people from poorer backgrounds at disadvantage
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Networking behaviours: job search• Largely quantitative
approach
• Personality traits predict networking behaviours
• No focus on:• young people• social media
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Networking behaviours: information behaviour• Largely qualitative
approach
• Networking "integral information seeking behaviour"
• Various barriers identified
• Relates to “opportunistic information acquisition”
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The adoption of social media tools
• Channels for weak and strong ties
• SNS associated with higher levels of social capital
• Personality traits, age and gender all impact on usage
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Wilson’s model: context of information need
• The literature shows:• network composition is key• young people reliant on
“ascribed” contacts
• To be explored:• socio-economic context• environmental context (city,
rural etc.)• Role-related context
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Wilson’s model: intervening variables
• Enablers/barriers from literature:• Social capital • Personality traits • Demographics
• Enablers/barriers to be explored:• Attitudes/motivations• Access issues• Digital literacy
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Wilson’s model: information seeking behaviour
• The literature shows:• Networking is key ISB• Job search measures of
networking are arbitrary
• To be explored:• Online networking behaviours• Passive search behaviours
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Conclusion• Networks are crucial in job search
• Extant networking research limited in its scope and methods
• More needs to be understood about social media tools and job search
• An information behaviour perspective using Wilson’s model could be useful for further research
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References• Bell, D., & Blanchflower, D. G. (2010). Young people and recession: A lost generation?. In Fifty-Second
Panel Meeting on Economic Policy, Einaudi Institute for Economics and Finance, October, 22-23.
• Beaudoin, C. E., & Tao, C. C. (2007). Benefiting from social capital in online support groups: An empirical study of cancer patients. CyberPsychology & Behavior, 10(4), 587-590.
• Ellison, N. B., Steinfield, C., & Lampe, C. (2007). The benefits of Facebook “friends”: social capital and college students’ use of online social network sites. Journal of Computer‐Mediated Communication, 12(4), 1143-1168.
• Finlay, I., Sheridan, M., McKay, J., & Nudzor, H. (2010). Young people on the margins: in need of more choices and more chances in twenty‐first century Scotland. British Educational Research Journal, 36(5), 851–867.
• Gibson, C., H. Hardy III, J., & Ronald Buckley, M. (2014). Understanding the role of networking in organizations. Career Development International, 19(2), 146-161.
• Granovetter, M. S. (1973). The strength of weak ties. American journal of sociology, 1360-1380.
• Granovetter, M. (1974). Getting a job. Cambridge, MA: Harvard University Press.
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References (2)• Kietzmann, J. H., Hermkens, K., McCarthy, I. P., & Silvestre, B. S. (2011). Social media? Get serious!
Understanding the functional building blocks of social media. Business horizons, 54(3), 241-251.
• Ofcom (2014). Adults’ Media Use and Attitudes Report. [Online]. Available at: http://stakeholders.ofcom.org.uk/binaries/research/media-literacy/adults-2014/2014_Adults_report.pdf [Accessed 20th February 2015].
• Smith, S. S. (2005). Don’t put my name on it: social capital activation and job‐finding assistance among the black urban poor. American Journal of Sociology, 111(1), 1-57.
• Valenzuela, S., Park, N., & Kee, K. F. (2009). Is there social capital in a social network site?: Facebook use and college students' life satisfaction, trust, and participation. Journal of Computer‐Mediated Communication, 14(4), 875-901.
• Verhaeghe, P.-P., Van der Bracht, K., & Van de Putte, B. (2015). Inequalities in social capital and their longitudinal effects on the labour market entry. Social Networks, 40, 174–184.
• Wanberg, C. R., Kanfer, R., & Banas, J. T. (2000). Predictors and outcomes of networking intensity among unemployed job seekers. Journal of Applied Psychology, 85(4), 491.
• Wolff, H. G., & Kim, S. (2012). The relationship between networking behaviors and the Big Five personality dimensions. Career Development International, 17(1), 43-66.
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