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SCCD: Social Capital-Driven Career Development Framework

Author(s)
Ghaffar, Faisal  
Buda, Teodora Sandra  
Assem, Haytham  
Afsharinejad, Armita  
Hurley, Neil J.  
Uri
http://hdl.handle.net/10197/11407
Date Issued
2018-08-31
Date Available
2020-07-03T15:55:03Z
Abstract
Sociological theories of career success provide fundamental principles for the analysis of social networks to identify patterns that facilitate career development. Structural Hole Theory argues that certain network structures provide advantages to individuals by facilitating them to access unique information from parts of the network. The network structural advantages of social networks in workplace settings have not been studied enough for the purpose of employees career development. In this paper, we address this challenge by proposing a Social Capital-Driven Career Development framework which leverages enterprise collaboration activity streams to assess employees social capital across organizational hierarchy levels. We demonstrate that our framework can enable employees to reflect on their social network structure from the prospective of information benefits for progressing their career from one hierarchy level to the immediate next level in their respective business units.
Sponsorship
European Commission Horizon 2020
Science Foundation Ireland
Other Sponsorship
Insight Research Centre
Type of Material
Conference Publication
Publisher
IEEE
Copyright (Published Version)
2018 European Union
Subjects

Recommender systems

Social network servic...

Collaboration

Phase measurement

Blogs

Career development

Engineering professio...

Organizations

DOI
10.1109/ASONAM.2018.8508320
Web versions
http://asonam.cpsc.ucalgary.ca/2018/
Language
English
Status of Item
Peer reviewed
Conference Details
The 2018/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM 2018), Barcelona, Spain, 28-31 August 2018
ISBN
978-1-5386-6051-5
This item is made available under a Creative Commons License
https://creativecommons.org/licenses/by-nc-nd/3.0/ie/
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insight_publication.pdf

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2.11 MB

Format

Adobe PDF

Checksum (MD5)

542fdafd3bea4bd43735ea52a1a836fd

Owning collection
Insight Research Collection

Item descriptive metadata is released under a CC-0 (public domain) license: https://creativecommons.org/public-domain/cc0/.
All other content is subject to copyright.

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