ABSTRACT
Competence always gives a business a competitive advantage. Competence-based recruiting, development, and performance evaluation are well-known phenomena that have been studied in the literature but are not very frequent in actual practice. The complexity of the topic and the lack of a universal framework that can be implemented with little to no adjustments may be the reason these are not frequently used, despite their relevance.
There have been attempts to build competency frameworks, although they are often small-scale and occupation-specific. There is a need for a general framework that can be simply copied, developed using a disciplined and scientific process and professional skills, is clearly understood, and can be used for as many different projects as needed. Though little academic study has been done on the subject, artificial intelligence (AI) has been suggested as a potent tool in human capital management systems.
This chapter proposes a novel AI-based competency framework for the management of human capital. The data related to human capital is collected and preprocessed using normalization. We design the competency model using the discriminant regressive artificial neural network (DR-ANN), which assists in the effective hiring of human capital by accurately identifying their competencies.
The proposed system is also statistically analyzed using analysis of variance (ANOVA). We compare the proposed competency model with traditional models to prove the efficacy of the suggested system.
