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Cited by 795

The DOI matches its Crossref record; 11 of the 11 references it cites were found in a registry or an index.

Knowledge-based human resource management practices, intellectual capital and innovation

Open access
Kianto, Aino, Sáenz, Josune, Aramburu, Nekane·2017·Journal of Business Research

Abstract

This paper proposes a conceptual model in which a human resource management (HRM) system of explicitly knowledge-based HRM practices impacts a firm's intellectual capital, producing higher innovation performance. We have empirically tested this idea in a survey dataset of 180 Spanish companies using structural equation modelling (SEM) based on partial least squares (PLS). The results show that intellectual capital positively mediates the relationship between knowledge-based HRM practices and innovation performance and illustrate the pivotal role of human capital in this relationship: knowledge-based HRM practices impact structural and relational capital partially through human capital, and human capital affects innovation performance by enhancing structural and relational capital.

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Crossref · 10.1016/j.jbusres.2017.07.018

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Metadata

Authors
Kianto, A., Sáenz, J., & Aramburu, N.
Venue
Journal of Business Research
Publisher
Elsevier BV
Published
2017-12
Volume
81
Pages
11-20
ISSN
0148-2963 (ISSN-L)
OpenAlex
W2742618045
Cited by
795
References
11
FWCI
92.73
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Knowledge-based human resource management practices, intellectual capital and innovation. https://app.cochat.ai/papers/10.1016/j.jbusres.2017.07.018
The paper
Kianto, A., Sáenz, J., & Aramburu, N. (2017). Knowledge-based human resource management practices, intellectual capital and innovation. Journal of Business Research. https://doi.org/10.1016/j.jbusres.2017.07.018

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.