Relationship Between Artificial Intelligence and the Engagement Variable

Abstract

The purpose of this research is to learn how engagement has been measured so far and what new techniques will be used to measure it in the future. To this end, firstly, there is a review of all the current research in engagement has been conducted, in addition to a review of the current traditional techniques used to measure it. Secondly, the concept of Artificial Intelligence has been analyzed and how one of its most common techniques (Natural Language Processing) is starting to be used as a new technique to measure engagement. Once the traditional and new techniques had been presented, a theoretical differentiation was made between them in order to test the benefits of the latter. The main conclusions were that Artificial Intelligence is increasing its fields of action, specifically in the psychology of organizations. In this field, the new techniques allow companies to save time in the administration and the conduction of surveys. Moreover, the data reported by AI is less biased than the one that comes from surveys, since the data is collected directly and these techniques do not bias the employee when answering the items. As a final conclusion, it is proposed that a study be carried out to compare the results of both techniques in real-life companies.