Search Results
Search Results
-
The Automation of Management and the Multiplication of Labor: On the Role of Algorithmic Management in the Recomposition of Labor
Digital technologies are increasingly used to automatically organize, measure, and control labor in many sectors and industries. This article offers an analysis of how digital technologies, particularly algorithmic management, not only reshape the ways in which work is done and controlled but also drive profound transformations in the division and composition of labor. Drawing on qualitative and ethnographic studies of the gig economy, this research article demonstrates how the digital automation of management serves as a prerequisite for efficiently and flexibly incorporating highly heterogeneous workforces into production processes. This is first demonstrated by an analysis of the online gig economy and its capacity to integrate a wide range of geographically dispersed workers into digital production processes. Then, the paper examines the role of migrant labor in the urban gig economy, contending that in this context too, digital technologies and algorithmic management play a crucial role in the flexible and efficient inclusion of highly diverse workforces. This ultimately illustrates how digital technologies for automated management are integral to a multifaceted process of workforce heterogenization, a phenomenon that can be conceptualized within the framework of the multiplication of labor.
-
Algorithmic Management in the Food Delivery Sector – a Contested Terrain?
Forms of algorithmic management (AM) play an essential role in organizing food-delivery work by deploying artificial intelligence-based systems to coordinate driver routes. Given the risks of precarity and threats posed by AM, which are typically related to (migrant) platform work, the question arises to what extent structures of co-determination can positively shape this type of work and the technologies involved. Based on an in-depth case study within a large food-delivery company, this article is guided by two questions: (1) How do companies use algorithm-based management and performance control, and how do the couriers perceive them? (2) What priorities, strategies, resources, and achievements do works councils and trade unions have with regard to co-determination practices? Our analyses indicate that algorithmic management poses problems of non-transparency and information asymmetry, which in turn call for new forms of and procedures for co-determination. Our study does not find evidence that AM practices aim to individually profile and discipline couriers. The main challenges for the works council and trade unions arise from the couriers’ generally precarious working and employment conditions; data- and AM-related issues do not represent the central area of conflict. However, our study identifies new demands regarding the co-determination of AM and underlines the importance of institutional regulation at the legal and sectoral level.
-
Labor-atories of Digital Economies: Latin America as a Site of Struggles and Experimentation
This article argues that the digital labor developments and struggles are labor-atories of digital economies, with special focus in Latin America. This means that, on the one hand, capital is experimenting and updating forms of control and exploitation - through the long trajectory of informality and dependency and, on the other hand, workers are trying and experimenting forms of organizing and collectivities, also updating Latin American rich histories of organizing, solidarity economies and community technologies. The emphasis on “labor” means that these laboratories are products of class struggles and capital-labor relationships. The paper unpacks the argument with four short insights from ongoing research: 1) Latin America as not only of research site; 2) The updating of informality in the Latin American AI context; 3) Global implications of data work, AI value chains, and the cultural sector; 4) Digital solidarity economies as a Latin American response to the current digital labor scenario, including digital sovereignty and autonomy.
-
Trapped in the Matrix: Algorithmic Control and Worker Dispossession in the African Platform Economy
Digital labor platforms are reshaping the work landscape in Sub-Saharan Africa, promising enhanced productivity and empowerment. Yet, this study reveals a more complex reality, particularly in Rwanda, South Africa, and Zimbabwe. Based on 41 in-depth interviews, it exposes how algorithmic management systems deeply erode worker autonomy, highlighting significant financial, task, and behavioral dispossession. This research, grounded in neo-Marxist and postcolonial theories, scrutinizes the nuanced limitations of autonomy and the pervasive control exerted by algorithmic management, reflecting the lived experiences of workers. The findings illuminate enduring patterns of accumulation that echo historical exploitation, maintaining asymmetric power dynamics and dependence. Despite this, the study captures the agency of workers as they navigate and resist these systemic constraints, challenging the dominant techno-optimistic narrative. It underscores the critical need for contextually informed empirical research to shape policies that champion equity and elevate marginalized voices during transformative economic shifts.
-
Algorithmic Management: From Technology to Politics and Theory
This article provides an overview of the concept of ‘algorithmic management’. This concept has played an important role as an organizing frame for empirical research seeking to demystify the role of labor platforms in intermediating paid work. More recently, this concept has helped shed light on the increasing use of computer algorithms to automate managerial tasks in conventional work settings. However, beyond platform work, most research is confined to warehousing, with only a few notable studies in manufacturing and retail. Moreover, most empirical investigations highlight the conditional nature of algorithmic management, with human managers retaining important functions. Only recently have studies begun to go beyond technical functions and consider how human elements (worker, manager, and technologist) shape such systems. Relatedly, the contingencies, moderations, and variations in algorithmic management have received insufficient consideration. These weaknesses result from a tendency to generalize from single case studies without adequately extending out from the case to theory, history, and geography, and not situating empirical research within a broader theoretically motivated research program. Workplace regime theory, with its focus on technology, power, and embeddedness, is presented as a remedy that enables algorithmic management research to account for variations while explaining regularities.
