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Predictors of Networking Intensity and Network Quality Among White-Collar Job Seekers

Tracy A. Lambert

University of Georgia

Lillian T. Eby

University of Georgia, leby{at}uga.edu

Melissa P. Reeves

University of Georgia

Networking has been identified as an important predictor of both reemployment and career success. This research examines the extent to which several sociodemographic variables (gender, race, and age) and one personality variable (proactive personality) predict the intensity with which individuals engage in networking and the perceived quality of their networks. Consistent with our expectations, age demonstrates a curvilinear relationship with network diversity, and proactive personality is positively related to networking intensity. No effects are found for gender or race. Implications for research and practice are discussed.

Key Words: networking • job loss • reemployment • individual differences

Journal of Career Development, Vol. 32, No. 4, 351-365 (2006)
DOI: 10.1177/0894845305282767
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[Abstract] [PDF]