Proceedings of the 2013 International Conference on Advances in Social Science, Humanities, and Management

Research of Employee Retention on Job Embeddedness Perspective

Authors
Yan Zhang
Corresponding Author
Yan Zhang
Available Online December 2013.
DOI
10.2991/asshm-13.2013.64How to use a DOI?
Keywords
job embeddedness; employee retention; employee dimission; turnover; four force model
Abstract

Employee turnover will bring high cost to organization and individuals. In organization, the most prominent problem is to attract and retain valuable employees. This paper breaks through the traditional model, introduces the job embeddedness theory, and explore the influence factors of employee retention. Finally, it gives feasible improvement plan and suggestion from the job embeddedness perspective combined with the four force model. It is expected to be able to retain a large number of outstanding talents and lay a solid foundation for the development of enterprises through the suggestions.

Copyright
© 2013, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2013 International Conference on Advances in Social Science, Humanities, and Management
Series
Advances in Intelligent Systems Research
Publication Date
December 2013
ISBN
978-90-78677-93-2
ISSN
1951-6851
DOI
10.2991/asshm-13.2013.64How to use a DOI?
Copyright
© 2013, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Yan Zhang
PY  - 2013/12
DA  - 2013/12
TI  - Research of Employee Retention on Job Embeddedness Perspective
BT  - Proceedings of the 2013 International Conference on Advances in Social Science, Humanities, and Management
PB  - Atlantis Press
SP  - 342
EP  - 345
SN  - 1951-6851
UR  - https://doi.org/10.2991/asshm-13.2013.64
DO  - 10.2991/asshm-13.2013.64
ID  - Zhang2013/12
ER  -