2018 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM) (2018)
Aug. 28, 2018 to Aug. 31, 2018
Faisal Ghaffar , IBM Ireland
Teodora Sandra Buda , IBM Ireland
Haytham Assem , IBM Ireland
Armita Afsharinejad , Insight Center UCD Ireland
Neil Hurley , Insight Center UCD Ireland
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.
F. Ghaffar, T. S. Buda, H. Assem, A. Afsharinejad and N. Hurley, "SCCD: Social Capital-Driven Career Development Framework," 2018 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM), Barcelona, Spain, 2018, pp. 1295-1298.