摘要：The main purpose of this research paper is to understand how artificial intelligence and machine learning applied to human behaviour has been treated, both theoretically and empirically, over the last twenty years, regarding predictive analytics and humanorganizational behaviour analysis. Toachieve this goal, the authors performeda systematic literature review, as proposed by Tranfield, Denyer and Smart (2003), on selected databases andfollowed the PRISMAframework (Preferred Reporting Items for Systematic reviews and Meta-Analyses). The method is particularly suited for assessing emerging trends within multiple disciplines and therefore deemed the most suitable method for the purposes of this paper, which intendsto survey and select papers according to their contribute towards theory building.By mapping what isknown, this review will lay the groundwork, providing a timely insight into the current state of research on human organisational behaviourand its applications.A total of 17795 papers resulted from the application of the search equations. The papers’ were screened according to the inclusion / exclusion criterions which resulted in 199papers for analysis. The authors have analysed the papers through VOSviewer software and Rprogrammingstatistical computing software. This review showed that 60% of the research undertaken in the field has been done in the last three and a half years and there is no prominent author or academic journal, showing the emergence and the novelty of this research.The other key finds of the research relate to the evolution of the concept, from data-driven (hard) towards emotions-driven (soft) organisations.
关键词：Human Behaviour;Big Data;Artificial Intelligence;Knowledge Management and Creation
