Organization, Social Entrepreneurship & Innovation

Enjoyed teaching a seminar that conjoins research on organization, social entrepreneurship and innovation (OSEI) with methodologies to study these topics empirically. Sessions were divided into two parts. The first part engaged with research topic specifics such as organizing in and for society, leading social change, social innovation, social entrepreneurship, new forms of organizing and grand challenges, and scaling social change. It commenced with an overview into the theme followed by short student presentations of research articles and in-depth discussions about articles to unpack their implications, interrelationships and conceptual and practical consequences. The second part prepared students for their own work by focusing on research methodologies such as approaching cases, doing field research, and writing up research reports. The course thus bridged high quality global research and local empirical cases.

Some objectives:

  • to familiarize students with some of the core concepts and theoretical underpinnings around organization, social entrepreneurship, and social innovation
  • to help students gain a stronger understanding of, and think critically about, this domain, including its research requirements and methods for publishing scholarly research
  • to use a format through which students can further develop the analytical, discursive and writing skills needed as a scholar
  • to offer a forum for developing, refining, and presenting own research ideas


Course schedule:




1 14.10.2019 Introduction
2 28.10.2019 Organizing in & for Society – Case Selection
3 11.11.2019 Leading Social Change – Methodological Considerations
4 25.11.2019 Social Innovation & Entrepreneurship – Field Research
5 09.12.2019 New Forms of Organizing & Grand Challenges – Research Dynamics
6 06.01.2020 Scaling Social Change – Writing up Research Reports
7 20.01.2020 Re-view & out-look

Algorithms at work

Just read a new, critical & constructive piece by Kellogg, Valentine & Christin on algorithms at work.

Let me offer a very brief summary:

I. Affordances of algorithmic systems: 1. Comprehensive 2. Instantaneous 3. Interactive 4. Opaque.

II. Algorithmic control: Direct workers (1. Restrict 2. Recommend), Evaluate workers (3. Record 4. Rate), Discipline workers (5. Replace 6. Reward).

III. Worker experience: 1. Manipulation 2. Disempowerment, 3. Surveillance 4. Discrimination 5. Precarity 6. Stress.

IV. Forms of algoactivism to resist control: 1. individual action 2. collective platform organizing 3. discursive framing around algorithmic fairness, accountability & transparency 3. legal mobilization on employee privacy, discrimination, worker classification & data ownership.

V. New forms of work & occupation: Algorithmic 1. Curation 2. Brokerage 3. Articulation.annals

The abstract: The widespread implementation of algorithmic technologies in organizations prompts questions about how algorithms may reshape organizational control. We use Edwards’ (1979) perspective of “contested terrain,” wherein managers implement production technologies to maximize the value of labor and workers resist, to synthesize the interdisciplinary research on algorithms at work. We find that algorithmic control in the workplace operates through six main mechanisms, which we call the “6 Rs”—employers can use algorithms to direct workers by restricting and recommending, evaluate workers through recording and rating, and discipline workers by replacing and rewarding. We also highlight several key insights regarding algorithmic control. First, labor process theory helps to highlight potential problems with the largely positive view of algorithms at work. Second, the technical capabilities of algorithmic systems facilitate a form of rational control that is distinct from the technical and bureaucratic control used by employers for the past century. Third, employers’ use of algorithms is sparking the development of new algorithmic occupations. Finally, workers are individually and collectively resisting algorithmic control through a set of emerging tactics we call algoactivism. These insights sketch the contested terrain of algorithmic control and map critical areas for future research.