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Career Patterns: A Twenty-Year Panel Study
Biemann, Torsten
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Zacher, Hannes
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Feldman, Daniel C.
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DOI:
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https://doi.org/10.1016/j.jvb.2012.06.003
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URL:
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http://www.sciencedirect.com/science/article/pii/S...
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Document Type:
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Article
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Year of publication:
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2012
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The title of a journal, publication series:
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Journal of Vocational Behavior
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Volume:
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81
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Issue number:
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2
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Page range:
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159-170
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Place of publication:
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New York, NY
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Publishing house:
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Academic Press
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ISSN:
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0001-8791 , 1095-9084
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Publication language:
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English
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Institution:
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Business School > ABWL, Personalmanagement u. Führung (Biemann 2013-)
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Subject:
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330 Economics
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Keywords (English):
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Career patterns , Socio-demographic status , Optimal matching analysis , Panel study
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Abstract:
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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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 | Dieser Datensatz wurde nicht während einer Tätigkeit an der Universität Mannheim veröffentlicht, dies ist eine Externe Publikation. |
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