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.
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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|Item Type:||Journal Article|
|Keywords:||Career patterns, Socio-demographic status, Optimal matching analysis, Panel study|
|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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