Fuzzy inference systems, ASKE, knowledge value added, and Monte Carlo risk simulation for evaluating intangible human capital investments
Abstract
This paper presents the ASKE-Risk method, coupled with Fuzzy Inference Systems, and Monte Carlo Risk Simulation to measure and prioritize Individual Technical Competence of a value chain to assess changes in the human capital of a company. ASKE is an extension of the method Knowledge Value Added, which proposes the use of a proxy variable for measuring the flow of knowledge used in a key process, creating a relationship between the company's financial results and the resources used in each of the business processes.
- Publication:
-
Research in Mathematical Sciences: A Catalyst for Creativity and Innovation
- Pub Date:
- April 2013
- DOI:
- 10.1063/1.4801263
- Bibcode:
- 2013AIPC.1522.1166M
- Keywords:
-
- econophysics;
- Monte Carlo methods;
- 02.70.Uu;
- 89.65.Gh;
- Applications of Monte Carlo methods;
- Economics;
- econophysics financial markets business and management