"The Man Who Wasn't There" A Systematic Literature Review on Human Behaviour Profiling

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 human profiling within organizational contexts. In...

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Bibliographic Details
Main Authors: de Oliveira, Elizabeth Real, Rodrigues, Pedro, Saraiva, Ana
Format: Conference Proceeding
Language:English
Subjects:
Algorithms
Artificial intelligence
Big Data
Content analysis
Human behavior
Knowledge management
Literature reviews
Machine learning
Neurosciences
Predictive analytics
Scientific papers
Systematic review
Online Access:Get full text
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Summary: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 human profiling within organizational contexts. In order to achieve this goal, the authors performed a systematic literature review, as proposed by Tranfield, Denyer and Smart (2003), on selected databases and followed the PRISMA framework (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 intents to survey and select papers according to their contribute towards theory building. By mapping what is known, this review will lay the groundwork, providing a timely insight into the current state of research on human behaviour profiling and its applications within organizational contexts. A total of 17795 papers resulted from the application of the research equations. The papers' abstracts were screened according to the inclusion / exclusion criterions which resulted in 199 papers for analysis. 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.
ISSN:2048-8963
2048-8971
DOI:10.34190/EKM.20.222