all AI news
Towards the global vision of engagement of Generation Z at the workplace: Mathematical modeling. (arXiv:2112.15401v1 [econ.GN])
Jan. 3, 2022, 2:10 a.m. | Radosław A. Kycia, Agnieszka Niemczynowicz, Joanna Nieżurawska-Zając
stat.ML updates on arXiv.org arxiv.org
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.
More from arxiv.org / stat.ML updates on arXiv.org
Jobs in AI, ML, Big Data
Lead GNSS Data Scientist
@ Lurra Systems | Melbourne
Senior Machine Learning Engineer (MLOps)
@ Promaton | Remote, Europe
Senior Engineer - Data Science Operations
@ causaLens | London - Hybrid, England, United Kingdom
F0138 - LLM Developer (AI NLP)
@ Ubiquiti Inc. | Taipei
Staff Engineer, Database
@ Nagarro | Gurugram, India
Artificial Intelligence Assurance Analyst
@ Booz Allen Hamilton | USA, VA, McLean (8251 Greensboro Dr)