João Pinheiro de Barros Neto, Lucas Pereira de Oliveira
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Study on the perception of generation Z in relation to robotized selection processes
Born in the mid-1990s, Generation Z emerged in the midst of a society whose advances in digital and technological media have been shaping the way companies act, especially in hiring people. This is an emerging generation, and studies and research on it are incipient. The aim of this study was to identify and analyze the perception of Generation Z regarding the robotization of selection processes and the application of artificial intelligence. The study used a survey with online questionnaires addressing how Generation Z has behaved in robotic selection processes. Contradicting what is disclosed in the media in general, a representative part of the sample is reticent in accepting a robotic selection process conducted by artificial intelligence as a mediator; besides that, there is a certain distrust with personal data made available technologically, as there are several platforms that adhere to this technology as a method of filtering suitable candidates for a given vacancy. Although the research had a reduced number of respondents (108) and a sample of only one program from a single university, which is a limitation of the study, the analyses of the results indicate the need for companies to review the use of artificial intelligence to ensure greater humanization, starting from the selection process in organizations. Furthermore, the data reveal that Generation Z may not represent a group of people with a completely homogeneous profile as shown by the media in general.
期刊介绍:
First published in 1986, the International Journal of Robotics and Automation was one of the inaugural publications in the field of robotics. This journal covers contemporary developments in theory, design, and applications focused on all areas of robotics and automation systems, including new methods of machine learning, pattern recognition, biologically inspired evolutionary algorithms, fuzzy and neural networks in robotics and automation systems, computer vision, autonomous robots, human-robot interaction, microrobotics, medical robotics, mobile robots, biomechantronic systems, autonomous design of robotic systems, sensors, communication, and signal processing.