Career patterns: A twenty-year panel study

Biemann, Torsten, Zacher, Hannes, & Feldman, Daniel C. (2012) Career patterns: A twenty-year panel study. Journal of Vocational Behavior, 81(2), pp. 159-170.

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Abstract

Using 20 years of employment and job mobility data from a representative German sample (N = 1259), we employ optimal matching analysis (OMA) to identify six career patterns which deviate from the traditional career path of long-term, full-time employment in one organization. Then, in further analyses, we examine which socio-demographic predictors affect whether or not individuals follow that traditional career path. Results indicate that age, gender, marital status, number of children, education, and career starts in the public sector significantly predicted whether or not individuals followed the traditional career path. The article concludes with directions for future theoretical and methodological research on career patterns.

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23 citations in Scopus
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23 citations in Web of Science®

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ID Code: 92374
Item Type: Journal Article
Refereed: Yes
Keywords: Career patterns, Socio-demographic status, Optimal matching analysis, Panel study
DOI: 10.1016/j.jvb.2012.06.003
ISSN: 0001-8791
Subjects: Australian and New Zealand Standard Research Classification > COMMERCE MANAGEMENT TOURISM AND SERVICES (150000) > BUSINESS AND MANAGEMENT (150300) > Organisational Behaviour (150311)
Divisions: Current > Research Centres > Australian Centre for Entrepreneurship
Current > QUT Faculties and Divisions > QUT Business School
Current > Schools > School of Management
Deposited On: 08 Feb 2016 02:37
Last Modified: 10 Feb 2016 05:20

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