Return on training (rot): an advanced yardstick for estimating and measuring higher education institution and business school performance in knowledge-based economy
Year: 2012
Type: article
Abstract: Received: 18 December 2011 Abstract Accepted: 14 April 2012 Return On Training is a hot topic among training professionals. The purpose of this paper is to present a stochastic simulation model developed for estimating and predicting monetary return on investment in corporate training. The article highlights new opportunities and challenges brought to the higher education institutions and business schools by internationalization and globalization. This study points out the weaknesses of the traditional criteria for measuring success and performance of education institution and offers Return On Training (ROT) as an advanced yardstick for measuring and benchmarking training programs outcomes. The research covers the key aspects of computer-based simulation modeling, underlines its advantages, proposes theoretical framework for studying ROT and finally comes up with a mathematical formula for calculating ROT that can be easily implemented as a computer software application.
Author: Vladimir Ermakov
Language: English
Subfield: Applied Psychology
Field: Psychology
Domain: Social Sciences
SDG: Quality education
Open Access status: diamond
OpenAlex ID: W1554392022