Contribution of Knowledge Management to Innovation Capabilities in the Manufacturing Industry Through Machine Learning

Juan Ibujés-Villacís, Michael S. Simba-Herrera

2025

Abstract

Knowledge management has been fundamental for organizations to improve their ability to innovate. The objective of this research is to design and develop machine learning models that impact predictive analytics, identifying the determinants of knowledge management (KM) that influence innovation capabilities (IC) in the manufacturing industry. Given the quantitative nature of the research, in a first stage, information on factors related to KM and IC was collected and processed. In a second phase, six models were developed to predict which manufacturing companies innovate in their production processes based on a set of KM factors. Information from 142 manufacturing companies in the province of Pichincha, Ecuador, was used for the study. The results show that all the factors of KM contribute to innovation capabilities, with organizational structure, technology, people and incentives standing out in particular. This study is pioneering in Ecuador and reinforces the strategic value of corporate governance as a driver of industrial innovation and provides a useful empirical framework to guide decision making and business policy formulation. In addition, this study contributes to the field of knowledge management by providing empirical evidence on the key factors on which manufacturing companies should focus their efforts to develop innovation capabilities in processes, products and services.

Paper Citation

in Harvard Style

Ibujés-Villacís J. and Simba-Herrera M. (2025). Contribution of Knowledge Management to Innovation Capabilities in the Manufacturing Industry Through Machine Learning. In Proceedings of the 17th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - Volume 2: KMIS; ISBN 978-989-758-769-6, SciTePress, pages 357-369. DOI: 10.5220/0013673000004000

in Bibtex Style

@conference{kmis25,
author={Juan Ibujés-Villacís and Michael Simba-Herrera},
title={Contribution of Knowledge Management to Innovation Capabilities in the Manufacturing Industry Through Machine Learning},
booktitle={Proceedings of the 17th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - Volume 2: KMIS},
year={2025},
pages={357-369},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0013673000004000},
isbn={978-989-758-769-6},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 17th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - Volume 2: KMIS
TI - Contribution of Knowledge Management to Innovation Capabilities in the Manufacturing Industry Through Machine Learning
SN - 978-989-758-769-6
AU - Ibujés-Villacís J.
AU - Simba-Herrera M.
PY - 2025
SP - 357
EP - 369
DO - 10.5220/0013673000004000
PB - SciTePress