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Cited by 430

The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.

Impact of people management practices on organizational performance: analysis of a causal model

Paul, A.K., Anantharaman, R.N.·2003·The International Journal of Human Resource Management

Abstract

Although researchers in strategic human resource management have established a relationship between HRM practices and organizational performance, the intervening process connecting HRM system and organizational performance remains unexplored. This paper, based on a study on Indian software companies, is an attempt to develop and test a causal model linking HRM with organizational performance through an intervening process. The study has found that not even a single HRM practice has direct causal connection with organizational financial performance. At the same time, it has been found that each and every HRM practice under study has an indirect influence on the operational and financial performance of the organization. Further, HRM practices such as training, job design, compensation and incentives directly affect the operational performance parameters, viz., employee retention, employee productivity, product quality, speed of delivery and operating cost.

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Crossref · 10.1080/0958519032000145648

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Metadata

Authors
Paul, A. K., & Anantharaman, R. N.
Venue
The International Journal of Human Resource Management
Published
2003-11-01
Volume
14
Issue
7
Pages
1246-1266
ISSN
  • 0958-5192 (ISSN-L)
  • 1466-4399
OpenAlex
W1988923220
Cited by
430
References
2
FWCI
16.13
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Impact of people management practices on organizational performance: analysis of a causal model. https://app.cochat.ai/papers/10.1080/0958519032000145648
The paper
Paul, A. K., & Anantharaman, R. N. (2003). Impact of people management practices on organizational performance: analysis of a causal model. The International Journal of Human Resource Management. https://doi.org/10.1080/0958519032000145648

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.