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Cited by 697

The DOI matches its Crossref record; 39 of the 39 references it cites were found in a registry or an index.

Transforming careers:from linear to multidirectional career paths: Organizational and individual perspectives

Baruch, Yehuda·2004·Career Development International

Abstract

Within the dynamic nature of labour markets, career systems have witnessed major changes in recent decades. This paper presents several career perspectives, to manifest a trend in career systems and their meaning and implications for individuals, organizations and society. This trend may be portrayed as a transition from what may be labelled “linear career system” into a “multidirectional career system”. Possible explanations to the phenomenon are presented, with suggested ideas for analysing and learning from the trend. The last section of the paper presents the academic career model as a prospective role model for future career systems, suggested as an intriguing idea and food for thought. Such a mental exercise of examining alternative career models, different from the traditional concept of careers, may be useful for both theory development and managerial practice.

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Metadata

Authors
Baruch, Y.
Venue
Career Development International
Publisher
Emerald
Published
2004-01-01
Volume
9
Issue
1
Pages
58-73
ISSN
1362-0436 (ISSN-L)
OpenAlex
W1502232571
Cited by
697
References
39
FWCI
66.96
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Transforming careers:from linear to multidirectional career paths: Organizational and individual perspectives. https://app.cochat.ai/papers/10.1108/13620430410518147
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Baruch, Y. (2004). Transforming careers:from linear to multidirectional career paths: Organizational and individual perspectives. Career Development International. https://doi.org/10.1108/13620430410518147

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.