Management control system and algorithmic management: analysis of the UBER case in Brazil and United States of America
Abstract
This paper presents a study that aimed at describing the management control system (MCS) of UBER, how it influences behavior, and how it is perceived by Brazilian and American company’s drivers. The qualitative, exploratory, and documentary research data were obtained through publicly released UBER documents and public reports by Brazilian and American drivers who are partners of the company available on the YouTube platform. There seems to be an interrelation between the tools used in the UBER MCS to induce the behavior of the company's partner drivers. There was an intense use of cybernetics controls and premium and compensation controls in the company. The partner drivers analyzed showed a series of behavioral reactions to the different types of controls established by the algorithms and the intelligence employed by UBER. In this sense, techniques, and tools stand out, used by drivers to develop their activities, and make the most of the metrics established by the company for purposes (especially, of performance evaluation and reward). The use of these techniques and tools somehow minimizes information asymmetry between the principal (UBER) and the agent (drivers), source of part of the company's power. This study contributes to the literature and to the practice related to the application of MCS in contemporary contexts of sharing economy, which usually employ algorithms to guide and induce behaviors and to stimulate the achievement of organizational results.
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