Assessing Employee Satisfaction in the Context of Covid-19 Pandemic

[摘要] The current COVID-19 pandemic crisis brought new challenges for all companies, forcing themto adopt new working methods to avert/minimize infection. Monitoring employee satisfaction is achallenging task, but one that is paramount in the current pandemic crisis. A workable problemsolving methodology has been developed and tested to respond to this challenge that examined thedynamics between Artificial Intelligence, Logic Programming, and Entropy for Knowledge Representation and Reasoning. Such formalism are in line with an Artificial Neural Network approachto computing. The ultimate goal is to assess employees’ satisfaction in Water Analysis Laboratorieswhile considering its development and management. The model was trained and tested with realworld data collected through questionnaires. The proposed supervised exercise yielded an overallaccuracy of 92.1% and 90.5% for both, training and testing sets.

[学科分类] 环境工程

[关键词] COVID–19;Human Resources Management;Organizational Performance;Artificial Intelligence;Logic Programming;Entropy;Knowledge Representation and Reasoning;Artificial Neural Networks