Knowledge Management and Human Resource Management to Innovate: An Empirical Analysis in the Textile Industry

This research aims to understand the impact of knowledge management and human resource management on innovation in textile industry companies in central-western Mexico. This is a qualitative, descriptive, correlational study with a non-experimental, cross-sectional design. The sample is simply random and is made up of 386 companies in the textile industry. A structured questionnaire was applied using a Likert-type scale with five ranges. The information analysis used the Structural Equation Model (SEMPLS). In the results, the analysis of the statistical parameters t – t-student and p-value confirm the statistical significance of the Path coefficients with 95% confidence. The results of the research coincide with some of the literature. This research fills a gap in the literature on the phenomenon studied.

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Publication Details

Journal
Mercados y Negocios
Published
2024-09-01
DOI
https://doi.org/10.32870/myn.vi53.7743
Primary Topic
Global Trade and Competitiveness
Type
article
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article

Knowledge Management and Human Resource Management to Innovate: An Empirical Analysis in the Textile Industry

Marco Alberto Valenzo Jiménez, María Francisca Peñaloza Talavera, Jaime Apolina Martínez-Arroyo, Flor Madrigal Moreno
Mercados y Negocios
Global Trade and Competitiveness
article

Knowledge Management and Human Resource Management to Innovate: An Empirical Analysis in the Textile Industry

Marco Alberto Valenzo Jiménez, María Francisca Peñaloza Talavera, Jaime Apolina Martínez-Arroyo, Flor Madrigal Moreno
article en

Abstract

This research aims to understand the impact of knowledge management and human resource management on innovation in textile industry companies in central-western Mexico. This is a qualitative, descriptive, correlational study with a non-experimental, cross-sectional design. The sample is simply random and is made up of 386 companies in the textile industry. A structured questionnaire was applied using a Likert-type scale with five ranges. The information analysis used the Structural Equation Model (SEMPLS). In the results, the analysis of the statistical parameters t – t-student and p-value confirm the statistical significance of the Path coefficients with 95% confidence. The results of the research coincide with some of the literature. This research fills a gap in the literature on the phenomenon studied.

Mercados y NegociosVol. 25(53)
Universidad Michoacana de San Nicolás de Hidalgo (MX)
Industry, innovation and infrastructure
Openalex Percentile: Top 75%
Global Trade and Competitiveness
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