Weizenbaum Library (Weizenbaum Institute)

Supplementary data 
Table 1: Overview of the paper included in the data analysis. (Essential papers in bold)  
Table 2: Overview of the coding schem

Vladova, GerganaHaase, Jennifer

Friesike, Sascha

Supplementary data for “Why, with whom, and how to conduct interdisciplinary research? A review from a researcher’s perspective”

1. Gender Assignment  
2. Tables and Figures  
3. The embedding model with five dimensions  
Reference

Fan, Yangliu

Lehmann, Sune

Blok, Anders

Supplementary Information for “Understanding scholar-trajectories across scientific periodicals”

This issue of the Weizenbaum Journal of the Digital Society addresses the increasing prevalence of algorithmic management in both business and public administration. This subject is the focus of vigorous debate across sociology, law, political science, and economics. The articles featured in this issue not only analyse the historical foundations of this practice but also examine its manifestations in various contexts, extending beyond the gig economy to encompass other industries.The Weizenbaum Institute is funded by the German Federal Ministry of Education and Research (BMBF

Emmer, Martin

Iglesias Keller, Clara

Krasnova, Hanna

Krzywdzinski, Martin

Metzger, Axel

Schimmler, Sonja

Ulbricht, Lena

Vladova, Gergana

OF THE DIGITAL SOCIETY
ISSUE
03
04
WEIZENBAUM JOURNAL OF THE DIGITAL SOCIETY 
Volume 4 \ Issue 3 \ w4.3.1 \ 10-23-2024 
ISSN 2748-5625 \ DOI 10.34669/WI.WJDS/4.3.1
Information on this journal and its funding can be found on its website: 
https://wjds.weizenbaum-institut.de
This work is available open access and is licensed under Creative Commons Attribution 4.0 (CC BY 4.0): 
https://creativecommons.org/licenses/by/4.0/
VOLUME 4, ISSUE 3
Editorial
Martin Emmer   \ Clara Iglesias Keller   \ Hanna 
Krasnova   \ Martin Krzywdzinski  \ Axel Metzger \ 
Sonja Schimmler  \ Lena Ulbricht  \ Gergana Vladova 
Editors of the Weizenbaum Journal of the Digital Society
ABSTRACT
This issue of the Weizenbaum Journal of the Digital Society addresses the 
increasing prevalence of algorithmic management in both business and public 
administration. This subject is the focus of vigorous debate across sociolo-
gy, law, political science, and economics. The articles featured in this issue 
not only analyse the historical foundations of this practice but also examine 
its manifestations in various contexts, extending beyond the gig economy to 
encompass other industries.
EDITORIAL \ 204
This third issue of the fourth volume of the Weizenbaum Journal of the Digital 
Society concerns the rise of algorithmic management in business and pub-
lic administration, a topic hotly debated across the fields of sociology, law, 
political science, and economics. The articles collected here contribute to the 
discourse by analyzing not only the historical foundations of the practice but 
also how it manifests in different contexts, moving beyond the gig economy to 
consider other industries.
Nonetheless, the first research paper sees Moritz Altenried look at the develop-
ment of algorithmic management in the gig economy. Drawing on qualitative 
and ethnographic research, he examines the ways that gig work platforms use 
automation to onboard, guide, and evaluate workers. In particular, he discusses 
the experiences of migrant workers, recognizing the ability of these platforms 
to employ and manage a highly diverse workforce as a key strength.
In the second research paper, Alexander Berman investigates the use of AI-
based decision-support systems by the Swedish Public Employment Service. 
The study adopts a novel methodological approach based on a linguistic 
analysis of how the system works. It specifically inquires as to what goals the 
system is pursuing, what goals are communicated to the jobseekers, and the 
extent to which the system supports the jobseekers in making well-informed 
decisions. The analysis produces strategies for strengthening the explainability 
of such systems.
In the third paper, Philip Wotschack, Leon Hellbach, and Florian Butollo 
examine the functioning of algorithmic management as used by an online 
delivery platform. The study arrives at ambivalent conclusions. There is no ev-
idence that the platform uses the system for individual monitoring and sanc-
tioning of workers, but important dimensions of the algorithmic management 
system remain opaque. The study analyzes how the company’s works council 
attempts to influence algorithmic management.
Next, Uli Meyer and René Werner consider the history of AI-based deci-
sion-making in companies through the lens of Herbert Simon’s ideas on AI 
concepts. Simon saw in AI the potential to become a universal problem-solv-
ing instrument that would fundamentally change how management works. The 
authors demonstrate that his ideas continue to reverberate in the concepts of 
AI tools used by modern-day companies.
Meanwhile, this issue’s “Voices for the Networked Society” section presents 
three discussion contributions that provide insight into the current state of 
research and propose future research directions.
Valeria Pulignano argues that analyses of algorithmic management should be 
positioned in a broader context of “algorithmic governance” that also includes 
the respective institutional, regulatory, and economic framework within which 
EDITORIAL \ 304
companies operate. In arguing that companies adapt their internal manage-
ment concepts to external governance conditions, Pulignano presents import-
ant dimensions of the concept of algorithmic governance.
Next, Jamie Woodcock discusses the limitations of approaching the concept 
of algorithmic management in association with its development for implemen-
tation in the context of online platforms. Although this research has produced 
key results and impulses, it must address the challenge of transferring its con-
cepts and findings to other company types and sectors.
Finally, Alex Wood develops a new proposal, recognizing the need for re-
search on algorithmic management to shift its focus beyond technology to 
consider the politics surrounding the technology’s implementation and  
application. At the same time, he argues that this research needs a stronger 
theoretical foundation, demanding further development of the concepts of 
workplace regimes and workplace bargaining.
We wish you an inspiring reading.


English

Editorial: Volume 4, Issue 3

This article investigates the elective affinity between decision-making models in the fields of organizational theory and artificial intelligence (AI), exploring the decision-making influence of societal ideas in these two research contexts. Using Herbert Simon’s work on organizations and AI as an example, we examine the properties of these societal ideas and identify six key characteristics, emphasizing rational calculations based on a logic of consequences. These specific notions of decision-making converge again in the phenomenon of AI-based algorithmic decision-making in organizations, as we demonstrate using examples from descriptions and advertisements of such systems, the current literature on their use, and empirical research concerning organizational practices.The Weizenbaum Institute is funded by the German Federal Ministry of Education and Research (BMBF

Meyer, Uli

Werner, René

Making Choices Rational: The Elective Affinity of Artificial Intelligence and Organizational Decision-Making

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Supplementary data for “Why, with whom, and how to conduct interdisciplinary research? A review from a researcher’s perspective”

Supplementary Information for “Understanding scholar-trajectories across scientific periodicals”

Editorial: Volume 4, Issue 3

Making Choices Rational: The Elective Affinity of Artificial Intelligence and Organizational Decision-Making

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