Algorithmic management versus organising protest and co-determination? The case of Foodora/Lieferando in Germany

2021 ◽  
pp. 105-128
Author(s):  
Jasmin Schreyer

The so-called ‘platform economy' or ‘gig economy' and its ambivalent effects on the working environment is a focal point of social science research. The contribution analyses, based on a case study, algorithmic work in the platform economy, its working conditions, and the way gig workers organised and articulated their protest. The algorithmic management of Lieferando (formerly Foodora) governs its employees through algorithmic-driven and standardized work coordination. Therefore, different conflicts between the company and its workers arose, concerning working conditions, working relations, and co-determination. Organising, protest, and established co-determination mechanisms play a crucial role for the employees. As a result, there exists currently a few institutionalized relationships between the platform and its workforce in Germany.

2008 ◽  
Vol 56 (4) ◽  
pp. 535-551 ◽  
Author(s):  
Liz Stanley

It has been suggested that the contemporary form of capitalism – knowing capitalism – is distinctively different from its earlier incarnations by being ‘knowing’ in unprecedented ways; and that there is a ‘coming crisis of empirical sociology’, because related technological developments are producing a leading-edge research infrastructure located firmly within knowing capitalism, rather than in academic social science. These arguments are counter-posed here through two case studies. Thinking over the longer run via these suggests that ‘it has always known’ and sociologists ‘have always been “other” ‘, and that the current situation is not as new as is claimed. The first case study concerns the reverberations of the South African War (1899–1902) and particularly the ‘concentration system’ and its knowledge-based and generating classification, measurement and disposition of groups of people. The second case study concerns the post-World War Two impact of wartime changes in the configuration of research and knowledge on Mass-Observation, a radical social science research organization on the borders and ‘other’ to institutionalised sociology.


2016 ◽  
Vol 10 (3) ◽  
pp. 2123-2131
Author(s):  
Parwez Besmel ◽  
Frederic I. Solop

This paper examines challenges associated with conducting social science research in third world, conflict settings. Employing a qualitative, case study approach, we highlight the methodological barriers confronted by administration of Afghanistan Research Services’ (a Division of Afghanistan Holding Group) Mortgage Market Assessment, a study conducted in five major Afghanistan cities. While these barriers may be viewed through the lens of western social science as threatening the validity of legitimate research, innovative accommodations in the areas of sampling, quality control and mitigation of fear and mistrust led to successful data collection efforts. This case study of research in Afghanistan, offers lessons for ambitious researchers interested in adapting standard research techniques to future work with non-western peoples living under conflict conditions


2017 ◽  
Vol 36 (6) ◽  
pp. 721-734 ◽  
Author(s):  
Bing Mei ◽  
Gavin T. L. Brown

Using online surveys is becoming increasingly extensive and widespread. Social science research in China is no exception. However, due to contextual factors (e.g., technological constraints, social and cultural norms, and language barriers), prior successful methods may not apply. This article reports an alternative way of conducting online surveys in China, by combining local commercial online survey service providers with indigenous Web 2.0 applications. The case study demonstrates the feasibility of this approach and provides practical advice (e.g., adding incentives) on how to effectively conduct online survey in China.


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