Knowledge Management Methodology to Predict Student Doctoral Production

Arias Velásquez R.M. · Lecture Notes in Networks and Systems (2023) · DOI: 10.1007/978-3-031-35314-7_60

Resumen

The scientific production of engineering doctoral students is a challenge in several universities, in the last decade a new approach of knowledge management was proposed with a qualitative evaluation. In this research article, an evaluation of the production of 188 doctoral students are investigated with a qualitative and quantitative design, with an approach of knowledge management approach based on capitals (Human, structural, relational), and skills (technology management and innovation). Our findings are only 2.6% of the set has increased their production with an average of thirty-four research articles compared with the remaining students; the most important aspect are the following: i) A strong influence of the knowledge management with internal organization in the university, ii) External communication with authors in others universities, iii) innovation, training and activities; iv) Specific statistical access; v) specific engineering system; vi) operative management software; vii) Availability of resource for new design and pilots; viii) decision-making process and ix) proactivity in the university for research projects. This analysis has evaluated the impact and the number of articles published; it has a strong correlation in doctoral engineering students; the results are a mean absolute error, associated to research articles published (Y1) with 0.8074 correlation coefficient and 1.5203 of mean absolute error (MAE); and h-index (Y2) with 0.8213 correlation coefficient and MAE of 0.545.

Instituciones: Universidad Tecnológica del Perú