Proliferations in Algorithmic Control: Review of the Phenomenon and Its Implications

This research explores algorithmic controls, observing the phenomenon through micro, meso and macro perspectives of contextual analysis. Discovered themes across reviewed papers are classified at the three levels and overlaps. Study across 31 high relevance research papers helps develop an initial nomological network of the primary emerging themes. The proposed network consists of evolution and implication factors for algorithmic control. Factors like individual adoptions, institutional focus areas, technology, mediators, capabilities, regulatory and other guidance were observed of primary relevance and form the ‘evolution’ side of the network. Significant structural impacts, socio-economic impacts as well as sentiments and concerns were explored form the ‘implication’ side. The research reveals alignment to chosen industry formats which led to a set of propositions aiding the network development. The intent of this encapsulation is to integrate the emerging knowledge on the phenomenon of algorithmic control through exploratory qualitative research and propose a nomological network indicating evolution and its implications. Understanding these themes is of significance for future academic research and as organizational leaders embrace the power of algorithmic controls for meaningful deployments.