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Cited by 371

The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.

Employee Retention: A Review of Literature

Open access
Research Scholar, KKHSOU Guwahati, Assam, India, Das, Bidisha Lahkar·2013·IOSR Journal of Business and Management

Abstract

Human resources are the life-blood of any organization.Even though most of the organizations are now a days, found to be technology driven, yet human resources are required to run the technology.They are the most vital and dynamic resources of any organization.With all round development in each and every area of the economy, there is stiff competition in the market.With this development and competition, there are lots and lots of avenues and opportunities available in the hands of the human resources.The biggest challenge that organizations are facing today is not only managing these resources but also retaining them.Securing and retaining skilled employees plays an important role for any organization, because employees' knowledge and skills are central to companies' ability to be economically competitive.Besides, continuously satisfying the employees is another challenge that the employers are facing today.Keeping into account the importance and sensitivity of the issue of retention to any organization, the present study tries to review the various available literature and research work on employee retention and the factors affecting employee retention and job satisfaction among the employees.

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Crossref · 10.9790/487x-1420816

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Metadata

Authors
Research Scholar, K. G., & Das, B. L.
Venue
IOSR Journal of Business and Management
Publisher
IOSR Journals
Published
2013
Volume
14
Issue
2
Pages
08-16
ISSN
  • 2278-487X (ISSN-L)
  • 2319-7668
OpenAlex
W2315823484
Cited by
371
References
1
FWCI
19.01
Type
journal article
Language
en
Open access
bronze

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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.