Public sector organizations are increasingly adopting artificial intelligence (AI). However, its implementation is creating controversy regarding its impact on the labor market (technological unemployment). The purpose of this chapter is to determine whether the idea that AI will replace human labor within the public sector is realistic, or it is too exaggerated. A systematic review of the literature and an analysis of cases in three different contexts were developed. The results show a framework that foresees positive future scenarios, and it is glimpsed that the relationship between humans and AI will be perfected over time to ensure that the benefits of this relationship are legitimate for public organizations.
The aim of this article is to analyze the level of association and effect between work alienation, deviant workplace behavior, and performance in public sector organizations. Based on a literature review and relying on the theoretical perspective of the knowledge-based view strategy, the hypotheses were formulated. The method consisted of a cross-sectional study in Mexican public organizations, and a multivariate analysis of structural equation modeling (SEM) was performed. The results confirmed the association between work alienation, deviant workplace behavior, and performance. Furthermore, findings showed a high and positive relationship between work alienation and organizational performance within the context. The originality lies in the positive incidence among the variables under study within the public sector context; this is not consistent with what is suggested by the related literature.
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