Abstract:
The human factor is becoming more and more decisive in making the company more efficient and more competitive, improving the performance of their teams represents a challenge for the Human Resources department, which is also experiencing a profound digital transformation of data and its management [1]. Traditional Human Resources tools are no longer effective at managing skills, On the one hand, the performance evaluation of these resources objectively becomes more and more one of the very complex tasks of a manager, especially with the mass of current data presented by new non-traditional sources, on the other hand, the departure of key skills is a phenomenon that is not predictable by current HRIS tools, the financial cost is high as well as the technical loss of knowledge and know-how, and flexibility that this presents. In this article, we will propose a new approach to the classification of teams according to several performance indicators. This method is based on the K-means algorithm to classify the members of a team, assessed against performance indicators linked to some soft and technical skills. The result of this work represents a decision support model for managers to develop a team adapted to the overall mission, to adapt its management style to each cluster, and to prepare future hires to compensate for the skill gaps of the team in place.
Page(s):
5497-5506
DOI:
DOI not available
Published:
Journal: Journal of Theoretical and Applied Information Technology, Volume: 100, Issue: 17, Year: 2022
Keywords:
Key Performance Indicators
,
KMeans
,
Cluster Algorithm
,
Human Resources Management