We discuss algorithmic control and nudges prevalent in the gig economy in relation to extant management control literature. We draw on an analysis of archival data and interviews with drivers and executives of app‐based cab companies in India. Comparing algorithmic control with direct control, we explain the increase in the scale and scope of automation that enables detailed driver profiling and segmentation, which is crucial for microtargeting control mechanisms and controlling driver earnings. Explaining nudges vis‐a‐vis indirect control, we highlight the role of mental processes and clarify the labelling of control mechanisms as nudges. Furthermore, we show how nudges are interwoven into algorithmic control as they capitalise on and feed into it. We also substantiate the discussions on information asymmetry by explicating the calculative apparatus that underlies the asymmetry.

中文翻译：

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微观定位控制：在印度，由平台控制的出租车驾驶中的算法控制和微调功能得到了体现

我们讨论与现存的管理控制文献相关的算法控制和在零工经济中普遍存在的问题。我们对档案数据进行分析，并与印度基于应用程序的出租车公司的驾驶员和高管进行访谈。将算法控制与直接控制进行比较，我们解释了自动化规模和范围的增加，该范围可以实现详细的驱动程序配置文件和分段，这对于微目标控制机制和控制驱动程序收益至关重要。通过间接控制来解释微调，我们强调了心理过程的作用，并阐明了将控制机制标记为微调。此外，我们展示了微动如何利用和馈入到算法控制中。