Social Role in Organizational Management - Understanding People Behavior and Motivation

The aim of this work is to respond to the need to rethink the behavior and motiva-tion of employees in their relationship with managers and social groups, i.e., one`s main goal is based on increasing engagement in order to reach organiza-tional goals and job workers satisfaction, a complex concept that is influenced by different causes. Indeed, in this work it is analyzed the impact of working condi-tions on job satisfaction. This is where attention is drawn to the concept of entro-py, since we are not focusing on the value a variable can take, but on the effort that has been expended to obtain it. The idea of entropy comes from a principle of thermodynamics dealing with energy. It usually refers to the idea that everything in the universe eventually moves from order to disorder, and entropy is the meas-urement of that change, that is used here to understand and assess the workers behavior and motivation. The subsequent formal model is based on a set of logi-cal structures for knowledge representation and reasoning that conform to the above entropic view, then leading to an Artificial Neural Network approach to computation, an archetypal that considers the motive behind the action

An Assessment of Students’ Satisfaction in Higher Education

Student’s Satisfaction (SS) with a particular subject may impact the learning process, being the figure of attentiveness of the utmost importance over time, and also a very difficult undertaking to accomplish. To go forward with such exercise, a workable methodology for problem solving had to be built and tested. It is based on a thermodynamic approach to Knowledge Representation and Reasoning, which is the ultimate goal of SS assessment when working on a particular topic

A Case-Based Approach to Assess Employees’ Satisfaction with Work Guidelines in Times of the Pandemic

The actual pandemic crisis posed new challenges for organizations that had to adapt new working procedures to prevent infection. In this context, monitoring employee satisfaction is paramount, but a very difficult task. To respond to this challenge, a workable problem-solving methodology was developed and tested. It examines the dynamics between Logic Programming and the Laws of Thermodynamics for Knowledge Representation and Reasoning. Such formalisms are consistent with a computer-based approach based on Case-Based Reasoning, the ultimate goal of which is to assess employee satisfaction in water analysis laboratories. The model was trained and tested with real data, collected through questionnaires, exhibiting an overall accuracy of 85.9%