Towards the global vision of engagement of Generation Z at the workplace: Mathematical modeling

TL;DR

This paper uses statistical clustering methods to analyze factors influencing Generation Z's workplace engagement, aiming to inform better motivational strategies for this demographic.

Contribution

It introduces a mathematical modeling approach to identify key engagement factors for Generation Z at work using clustering analysis.

Findings

Clear responsibilities and challenging work are key engagement factors.

Clustering reveals relations between engagement factors.

Results can guide motivational system design.

Abstract

Correlation and cluster analyses (k-Means, Gaussian Mixture Models) were performed on Generation Z engagement surveys at the workplace. The clustering indicates relations between various factors that describe the engagement of employees. The most noticeable factors are a clear statement about the responsibilities at work, and challenging work. These factors are essential in practice. The results of this paper can be used in preparing better motivational systems aimed at Generation Z employees.