Digital Technologies and Emotions: Spectrum of Worker Decision Behavior Analysis

Digital technologies enables industries to transform their processes to gain competitive advantage. Industry 5.0 puts the operator at the center of a digital and connected industry, but what about workers’ emotions? To what extent do Industry 4.0 technologies in the industrial domain allows for a better understanding of the impact of emotions on workers’ decision-making behavior? The overall objective of this systematic literature review is to explore the literature to assess the breadth of possibilities for analyzing emotions to understand workers’ decision-making behaviors, based on data collected in industrial settings. The analysis of 29 articles extracted from the Compendex and Web of Science search engines allowed us to define the emotional factors measured in the analysis of human decision-making behavior, the tools used, and the sectors of application. The subject is still in its infancy for the scientific community and is a source of excitement. The results of the qualitative analysis of the articles show the predominance of text analysis (social networks and/or online reviews) for sentiment analysis. The tools used within the technology are very diverse (deep learning, machine learning, mathematical models). The same is true for the sectors of activity, although there is a particular interest in customer emotions for marketing purposes in the service industries. Finally, future research avenues are proposed, such as the analysis of the impact of emotions on the decision-making process in manufacturing is practically absent from the study.