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Social Network Analysis and
    Employee Success



                 Alia Alrashed
                  4/19/2012
Question

• Utilizing social networking analysis and tools, how
  can we recognize individuals who may be likely to
  outperform others and get positive organizational
  outcomes such as higher pay increases and
  promotions?
Success Factors
       •     Traditional characteristics (KSA’s):

                       Education and Training

                       Tenure and Experience

                       Autonomy

                       Communication Skills

                       Personality Traits

                       …etc

       Network characteristics:

       How central an employee is in the organization
Source:Brass, D. J., Galaskiewicz, J., Greve, H. R., &Wenpin, T. (2004). TAKING STOCK OF NETWORKS AND ORGANIZATIONS: A MULTILEVEL
PERSPECTIVE. Academy Of Management Journal, 47(6), 795-817.
Social Network Analysis
The mapping and measuring of relationships and flows between people, groups or
organizations and other connected information/knowledge entities. The nodes in the network
are the people and groups while the links show relationships or flows between the nodes.
SNA provides both a visual and a mathematical analysis of human relationships.
Centrality Measures

         • Betweenness

         • Closeness

         • Eigenvector

         • PageRank




Sourcehttp://www.orgnet.com/sna.html
Mehra, A., Dixon, A. L., Brass, D. J., & Robertson, B. (2006). The social network ties of group leaders: Implications for group performance and leader
reputation.       Organization Science, 17(1), 64-79.
Data

• Education

• Tenure

• Autonomy

• Relationship with supervisor outside work

• Work relationship

• Friendship
Data
Data

• Data preparation:
  1. Positively skewed variables
  (Log(1+var)-mean)/SD
  2. Negatively skewed variables
  ((Log(max+1-var))-mean/SD)*(-1)
Regression Results
Betweenness            Closeness




Eigenvector            Job Rank
Correlations
Conclusion and Summary

• Purpose of the research

• Limitations
Questions

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Social Network Analysis Predicts Employee Success

  • 1. Social Network Analysis and Employee Success Alia Alrashed 4/19/2012
  • 2. Question • Utilizing social networking analysis and tools, how can we recognize individuals who may be likely to outperform others and get positive organizational outcomes such as higher pay increases and promotions?
  • 3. Success Factors • Traditional characteristics (KSA’s): Education and Training Tenure and Experience Autonomy Communication Skills Personality Traits …etc Network characteristics: How central an employee is in the organization Source:Brass, D. J., Galaskiewicz, J., Greve, H. R., &Wenpin, T. (2004). TAKING STOCK OF NETWORKS AND ORGANIZATIONS: A MULTILEVEL PERSPECTIVE. Academy Of Management Journal, 47(6), 795-817.
  • 4. Social Network Analysis The mapping and measuring of relationships and flows between people, groups or organizations and other connected information/knowledge entities. The nodes in the network are the people and groups while the links show relationships or flows between the nodes. SNA provides both a visual and a mathematical analysis of human relationships.
  • 5. Centrality Measures • Betweenness • Closeness • Eigenvector • PageRank Sourcehttp://www.orgnet.com/sna.html Mehra, A., Dixon, A. L., Brass, D. J., & Robertson, B. (2006). The social network ties of group leaders: Implications for group performance and leader reputation. Organization Science, 17(1), 64-79.
  • 6. Data • Education • Tenure • Autonomy • Relationship with supervisor outside work • Work relationship • Friendship
  • 8. Data • Data preparation: 1. Positively skewed variables (Log(1+var)-mean)/SD 2. Negatively skewed variables ((Log(max+1-var))-mean/SD)*(-1)
  • 9. Regression Results Betweenness Closeness Eigenvector Job Rank
  • 11. Conclusion and Summary • Purpose of the research • Limitations