Auflistung nach Forschungsbereichen "Mensch – Arbeit – Wissen"

Gerade angezeigt 1 - 20 von 77
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    A Pandemic of Prediction. On the Circulation of Contagion Models between Public Health and Public Safety
    (2021) Heimstädt, Maximilian; Egbert, Simon; Esposito, Elena
    Digital prediction tools increasingly complement or replace other practices of coping with an uncertain future. The current COVID-19 pandemic, it seems, is further accelerating the spread of prediction. The prediction of the pandemic yields a pandemic of prediction. In this paper, we explore this dynamic, focusing on contagion models and their transmission back and forth between two domains of society: public health and public safety. We connect this movement with a fundamental duality in the prevention of contagion risk concerning the two sides of being-at-risk and being-a-risk. Both in the spread of a disease and in the spread of criminal behavior, a person at risk can be a risk to others and vice versa. Based on key examples, from this perspective we observe and interpret a circular movement in three phases. In the past, contagion models have moved from public health to public safety, as in the case of the Strategic Subject List used in the policing activity of the Chicago Police Department. In the present COVID-19 pandemic, the analytic tools of policing wander to the domain of public health – exemplary of this movement is the cooperation between the data infrastructure firm Palantir and the UK government’s public health system NHS. The expectation that in the future the predictive capacities of digital contact tracing apps might spill over from public health to policing is currently shaping the development and use of tools such as the Corona-Warn-App in Germany. In all these cases, the challenge of pandemic governance lies in managing the connections and the exchanges between the two areas of public health and public safety while at the same time keeping the autonomy of each.
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    A Pragmatic Way to Open Management Research and Education: Playfulness, Ambiguity, and Deterritorialization
    (2022) de Vaujany, François-Xavier; Heimstädt, Maximilian
    The open science movement has reached management research and education. Around the world, management scholars discuss, probe, and evaluate ways to make their work practices less ‘closed’ and more ‘open.’ However, how exactly such new work practices change management knowledge and teaching depends, to a large extent, on practitioners’ philosophical interpretation of ‘openness.’ Today, openness in management research and education is mainly interpreted as a feature of the input to or output from knowledge work. These interpretations conceive of research and education as relatively stable entities which can be opened at some clearly defined points. Our study aims to unsettle this conception and propose a new and more radical interpretation of openness. We propose to reconsider openness via the processual approach of American Pragmatism and thereby in a sense that dispenses with requiring the predisposition of research and education as stable entities. Via this interpretation of openness, management research and education can be transformed into a co-productive democratic movement which can bring about knowledge commons interwoven with true managerial and societal problems. To offer a first description of openness as a process that can transform management research and education, we analyze ethnographic material from two types of pragmatist experiments, which the first author facilitated between 2016 and 2021. We identify three key dimensions in the process of opening research and education: playfulness, ambiguity, and deterritorialization. Our study advances debates on the question of how management research can be more immediately helpful to management practitioners and students’ concerns.
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    A review of technologies for collaborative online information seeking. On the contribution of collaborative argumentation
    (2021) Mayweg-Paus, Elisabeth; Zimmermann, Maria; Le, Nguyen-Thinh; Pinkwart, Niels
    In everyday life, people seek, evaluate, and use online sources to underpin opinions and make decisions. While education must promote the skills people need to critically question the sourcing of online information, it is important, more generally, to understand how to successfully promote the acquisition of any skills related to seeking online information. This review outlines technologies that aim to support users when they collaboratively seek online information. Upon integrating psychological–pedagogical approaches on trust in and the sourcing of online information, argumentation, and computer-supported collaborative learning, we reviewed the literature (N= 95 journal articles) on technologies for collaborative online information seeking. The technologies we identified either addressed collaborative online information seeking as an exclusive process for searching for online information or, alternatively, addressed online information seeking within the context of a more complex learning process. Our review was driven by three main research questions: We aimed to understand whether and how the studies considered 1) the role of trust and critical questioning in the sourcing of online information, 2) the learning processes at play when information seekers engage in collaborative argumentation, and 3) what affordances are offered by technologies that support users’ collaborative seeking of online information. The reviewed articles that focused exclusively on technologies for seeking online information primarily addressed aspects of cooperation (e.g., task management), whereas articles that focused on technologies for integrating the processes of information seeking into the entire learning processes instead highlighted aspects of collaborative argumentation (e.g., exchange of multiple perspectives and critical questioning in argumentation). Seven of the articles referred to trust as an aspect of seekers’ sourcing strategies. We emphasize how researchers’, users’, and technology developers’ consideration of collaborative argumentation could expand the benefits of technological support for seeking online information.
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    Agile Methods on the Shop Floor: Towards a "Tesla Production System"?
    (Weizenbaum Institute, 2022) Daum, Timo
    This discussion paper investigates two questions: To what extend can Tesla be regarded as a digital firm, and do we - as a result - see elements of a distinct "Tesla production system"? While the EV-startup is widely approached as a competing automaker focusing on the electric drive train, which it certainly is, this paper argues that it can only fully be understood as a digital firm - a digital car company with a digital product embedded in a digital ecosystem. Its roots in Silicon Valley, its software-first approach, and its strategic exploitation of user activity data point into this direction. In the second part, this paper explores to what extent Tesla's rootedness in software and its Silicon-Valley ancestry gave reason to introduce methods borrowed from software development on the shop floor. To a certain degree, concepts from agile software development found their way to the very assembly-line at Tesla. Although it might be exaggerated to speak of a distinct "Tesla Production system", indications for a considerable and possibly enduring alteration of Lean Production paradigm can be determined.
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    Algorithmic Management: Bright and Dark Sides, Practical Implications, and Research Opportunities
    (2022) Benlian, Alexander; Wiener, Martin; Cram, Alec; Krasnova, Hanna; Mädche, Alexander; Möhlmann, Mareike; Recker, Jan; Remus, Ulrich
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    Audit - and then what? A roadmap for digitization of learning factories
    (2019) Ullrich, André; Enke, Judith; Teichmann, Malte; Kreß, Antonio; Gronau, Norbert
    Current trends such as digital transformation, Internet of Things, or Industry 4.0 are challenging the majority of learning factories. Regardless of whether a conventional learning factory, a model factory, or a digital learning factory, traditional approaches such as the monotonous execution of specific instructions don‘t suffice the learner’s needs, market requirements as well as especially current technological developments. Contemporary teaching environments need a clear strategy, a road to follow for being able to successfully cope with the changes and develop towards digitized learning factories. This demand driven necessity of transformation leads to another obstacle: Assessing the status quo and developing and implementing adequate action plans. Within this paper, details of a maturity-based audit of the hybrid learning factory in the Research and Application Centre Industry 4.0 and a thereof derived roadmap for the digitization of a learning factory are presented.
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    Automation, Digitalization, and Changes in Occupational Structures in the Automobile Industry in Germany, the United States, and Japan. A Brief History from the Early 1990s Until 2018
    (Weizenbaum Institute, 2020) Krzywdzinski, Martin
    In the current public discussion, it is considered certain that we are living in a time of rapidly advancing automation, which is driven in particular by the use of robots. Accordingly, many academic publications use robot density as the central indicator of automation. The present study challenges this perspective. It examines two central questions: First, what approaches to automation and digitalization have been pursued in the automotive industry in Germany, Japan and the USA? Second, how have employment and its occupational composition in the automotive industry developed in the three countries? The first part of the study focuses on the development of automation and digitalization approaches in the automotive industry from the early 1990s until today. It combines a qualitative analysis of press articles and a quantitative evaluation of the development of the stock of industrial robots from 1993 to 2018 based on the statistics of the International Federation of Robotics. The second part of the study focuses on the change in employment structures using occupational statistics from the Bureau of Labor Statistics (USA), the Federal Employment Agency (Germany) and the Statistics Bureau of Japan. The study questions the perception of an automation-related threat to employment and especially to production employment. At the same time, it discusses developments in Germany, Japan and the USA in comparison and highlights differences in automation and digitalization approaches as well as different paths of change in employment structures.
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    Beyond “Industry 4.0”. B2B factory networks as an alternative path towards the digital transformation of manufacturing and work
    (2021) Butollo, Florian; Schneidemesser, Lea
    This article uses theoretical and empirical evidence of variations in digitalized manufacturing to revisit Piore and Sabel’s 1984 work on flexible specialization and to criticize the inherent one-sidedness of the Industry 4.0 discourse. This is juxtaposed with empirical findings on platform-mediated business-to-business factory networks, in which flexibility is facilitated by the digital interconnection of a far-flung network of small-scale manufacturers rather than by sophisticated production technology. The effects on work are equivocal; they entail the potential for a craft-like and skill-intensive paradigm of small-scale manufacturing that can upgrade work, but also for a race to the bottom in price-sensitive industries.
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    Chancen und Grenzen digitaler Lehre an Hochschulen aus Studierendenperspektive. Empirische Befunde und Gestaltungshinweise
    (2021) Vladova, Gergana; Ullrich, André; Bender, Benedict
    The design of qualitative, excellent teaching requires collaboration between teachers and learners. For this purpose, face-to-face teaching benefits from a long-standing tradition, while digital teaching is comparatively still at the beginning of its dissemination. A major developmental step toward the digitization of teaching was achieved in the context of university teaching during the Covid 19 pandemic in spring 2020, when face-to-face teaching was interrupted for months. During this time, important insights into the opportunities and limitations of digital teaching were gained. This paper presents selected results of a study conducted at four German universities and with 875 responses in spring 2020. The study uncovers opportunities and limitations of digital teaching from the students’ perspective and against the background of their experience in the completely digital semester. The results are used as a basis for deriving design guidelines for digital teaching and learning offerings. Based on a model for analyzing the design of teaching and learning formats, these indications are structured according to the elements learners, teachers, teaching content, environment and teaching style.
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    Citizen Science and the Dissolution of Inequalities in Scientific Knowledge Production
    (Weizenbaum Institute, 2019) Wünsche, Hannes; Schimmler, Sonja
    Recently, a larger public has started to critically discuss scientific knowledge and its role in political decision making. In this discussion, scientific and civic epistemologies are put into connection with each other. Just as post-democratic theory argues in relation to political decisions, the production of scientific knowledge is criticized as a non-inclusive process, too. The Citizen Science movement tries to resolve this deficit by involving citizens into research. In this paper, we introduce agency as an analytical category into the discussion, focussing on how participants are represented in Citizen Science. We highlight the interdependencies between the degree of agency granted to the participants in Citizen Science projects and the degree of their representation in knowledge production.
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    College-aged Users Behavioral Strategies to Reduce Envy on Social Networking Sites: A Cross-cultural Investigation
    (2019) Wenninger, Helena; Cheung, Christy; Krasnova, Hanna
    Social networking sites (SNSs) are central to social interaction and information sharing in the digital age. However, consuming social information on SNSs invites social upward comparisons with highly socially desirable profile representations, which easily elicits envy in users and leads to unfavorable behaviors on SNSs. This in turn can erode the subjective well-being of users and the sustainability of the SNS platform. Therefore, this paper seeks to develop a better theoretical understanding of how users respond to envy on SNSs. We review literature on envy in offline interactions to derive three behavioral strategies to reduce envy, which we then transfer to the SNS context (self-enhancement, gossiping, and discontinuous intention). Further, we propose a research model and examine how culture, specifically individualism-collectivism, affects the relationship between envy on an SNS and the three strategies. We empirically test the variance-based structural equation model through survey data collected of Facebook users from Germany and Hong Kong. Our findings provide first insights into the link between envy on SNSs, related behavioral strategies and the moderating role of individualism for self-enhancement.
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    Colonialism, capital, and ressentiment
    (2021) Cooiman, Franziska
    Vogl’s new book relates finance to the internet industry and economics to politics. Introducing questions of colonial history and racism would further sharpen his view of the drivers and dynamics of contemporary capitalism.
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    Combining Experiential Knowledge and Artificial Intelligence. The Digital Transformation of a Traditional Machine-Building Company
    (2022) Krzywdzinski, Martin; Butollo, Florian
    The development of Industry 4.0 technologies creates leeway for the digital transformation of manufacturing companies, whose business models increasingly rely on software and data-based services. While several studies emphasise that manufacturing has no choice but to follow this transformation, there is little knowledge about how companies are actually managing it. This article uses the case study of a leading mechanical engineering company to analyse how the company organised the development of new digital technologies and how it changed its organisational structures and practices. It is based on 22 interviews and an analysis of company documents. The analysis draws on ambidexterity theory, which is extended toward a dynamic process analysis. It shows that digital transformation presupposes the development of structures and practices supporting cross-functional cooperation and the creation of new skill formation approaches. It develops a model of organisational change related to the digital transformation of manufacturing companies which includes the proof-of-concept phase, the partial exploitation phase, and the organisational transformation phase.
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    Creativity and Productivity In Product Design for Additive Manufacturing: Mechanisms and Platform Outcomes of Remixing
    (2019) Friesike, Sascha; Flath, Christoph M.; Wirth, Marco; Thiesse, Frédéric
    The present study explores the phenomenon of remixing in product design for additive manufacturing (AM). In contrast to other manufacturing techniques, AM offers unprecedented flexibility in adapting existing product designs to changing requirements. However, in order to benefit from this potential, structured design procedures and tools are indispensable. As a possible solution, online platforms for collaborative 3D model creation are increasingly implementing features for remixing, a concept describing the creation of new models on the foundation of existing design elements. Against this backdrop, the objective of this research is to provide evidence for the value of remixing as an organizational intervention for improving product design processes. To this end, we present a mixed methods approach using data from Thingiverse, the world's largest AM-related online community. In a first step, we investigate qualitative data from 81 individual remix-based designs to identify the underlying mechanisms of remixing. We identify six such mechanisms that can further be grouped by the intended outcome of the respective process (creativity-oriented: inspiration, play, learning; productivity- oriented: speed, improvement, empowerment). In a second step, we turn to a quantita- tive analysis of platform data, which indicates that remixing may lead to better design process outcomes in terms of quantity and diversity of designs. Furthermore, we find that designs created by remixing designers are significantly more often printed by com- munity members suggesting that remixing helps ensure manufacturing compatibility akin to continuous process improvement. Our research has several implications for individual designers and organizations engaging with product design for AM.
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    Das Öffnen und Teilen von Daten qualitativer Forschung
    (Weizenbaum Institute, 2020) Steinhardt, Isabel; Fischer, Caroline; Heimstädt, Maximilian; Hirsbrunner, Simon David; İkiz-Akıncı, Dilek; Kressin, Lisa; Kretzer, Susanne; Möllenkamp, Andreas; Porzelt, Maike; Rahal, Rima-Maria; Schimmler, Sonja; Wilke, René; Wünsche, Hannes
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    Data Governance Act Proposal
    (Weizenbaum Institute, 2021) Neuberger, Christoph; Friesike, Sascha; Krzywdzinski, Martin; Eiermann, Karin-Irene; Stocker, Volker; Schawe, Nadine; Efroni, Zohar; von Hagen, Prisca; Völzmann, Lisa; Müller, Ferdinand
    This Position Paper contains statements drafted by several Research Groups at the Weizenbaum Institute concerning the Data Governance Act (DGA) Proposal. Each statement is followed by a short explanation. The purpose of this Paper is to highlight a number of important aspects of the DGA Proposal and stimulate the debate around it with a special emphasis on the part that concerns regulation of data sharing services (Chapter III, DGA Proposal). The Paper touches upon a number of selected matters without the ambition to cover all the important issues the DGA legislation raises. The statements address the potential risks in creating a centralized architecture for data intermediaries, the problem of imposing a duty on data sharing services to offer data on a non-discriminatory basis, the role and expertise supervision authorities will need to assume and exercise and questions regarding the interface between the anticipated DGA and existing data protection law in the EU. The Paper includes a number of specific recommendations regarding the formulation of several DGA provisions, specifically in connection with its intersection points with the GDPR.
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    Data mining of scientific research on artificial intelligence in teaching and administration in higher education institutions: a bibliometrics analysis and recommendation for future research
    (2022) Ullrich, André; Vladova, Gergana; Eigelshoven, Felix; Renz, André
    Teaching and learning as well as administrative processes are still experiencing intensive changes with the rise of artificial intelligence (AI) technologies and its diverse application opportunities in the context of higher education. Therewith, the scientific interest in the topic in general, but also specific focal points rose as well. However, there is no structured overview on AI in teaching and administration processes in higher education institutions that allows to identify major research topics and trends, and concretizing peculiarities and develops recommendations for further action. To overcome this gap, this study seeks to systematize the current scientific discourse on AI in teaching and administration in higher education institutions. This study identified an (1) imbalance in research on AI in educational and administrative contexts, (2) an imbalance in disciplines and lack of interdisciplinary research, (3) inequalities in cross-national research activities, as well as (4) neglected research topics and paths. In this way, a comparative analysis between AI usage in administration and teaching and learning processes, a systematization of the state of research, an identification of research gaps as well as further research path on AI in higher education institutions are contributed to research.
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    Data of the paper: Clickbait or conspiracy? How Twitter users address the epistemic uncertainty of a controversial preprint
    (Center for Open Science, 2022-06-22) Franzreb, Carlos; Schimmler, Sonja; Bauer, Mareike Fenja
    This project contains sources related with the paper „Clickbait or conspiracy? How Twitter users address the epistemic uncertainty of a controversial preprint“:
    Scripts
    Scripts used to retrieve Tweets and to analyze/visualize them.

    Quantitative Analysis: Data
    + tweets.json: All Tweets of the relevant users as nodes and their relationships (retweet, quote or reply) as edges.
    + users_clustered.json: Users as nodes and their follow-relationships as edges, clustered with the Leiden algorithm.
    + follower_network.json: JSON file corresponding to Figure 1.
    + interaction_network.json: JSON file corresponding to Figure 2

    Qualitative Analysis: Data
    Replies and quotes of the Tweets that are used in the qualitative analysis.
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    Deglobalisierung, Rekonfiguration oder Business as Usual? COVID-19 und die Grenzen der Rückverlagerung globalisierter Produktion
    (2022) Butollo, Florian
    The economic difficulties following the COVID-19 pandemic have seemingly reinforced the need for geographic restructuring and a reshoring of production, as they have demonstrated the vulnerability of globalized production. This article provides an assessment of the impact of COVID-19 on the geographies of production. Criticizing overly simplified perspectives on globalization, the article argues that global production networks are multiscalar and politically shaped phenomena. Based on these theoretical considerations and case studies on the automotive, electronics and clothing industries, the article concludes that the COVID-19 pandemic cannot be interpreted as a trigger for a general retreat from global manufacturing, but it reinforced longer-standing shifts toward more multipolar production and consumption structures. While the issue of global production network resilience has attracted greater attention in corporate strategies and industrial policies, the localization and regionalization of production networks is only one of several strategies, and it has hardly been implemented so far. Ongoing disruptions of supply chains, increased transport costs, and, above all, geopolitically and environmentally motivated policies could well lead to greater re- or nearshoring. Political efforts in this direction are, however, limited by pre-existing global economic development paths and the balance of power associated with them. In the conclusions, the article stresses the necessity of a politically motivated restructuring of global production networks in the context of an urgently needed social-ecological transformation.
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    Dem Mitarbeiter zu Diensten. Weiterbildung und Qualifizierung als Personennahe Dienstleistung
    (2020) Vladova, Gergana; Heuts, Alexander; Teichmann, Malte
    The further training and qualification of employees are central success factors of digital change. The central challenge is to offer these customized services and not to presuppose acceptance, but rather to regard it as a target value. However, this will only happen if the employees are seen as partners and their needs and understanding are taken into account in the long term. Against this background, this article proposes an approach to realize further education as a personal service. For this purpose, a brief outline of the basic competence requirements of digital change is given first. Afterwards, the current situation of in-company continuing training in the digital transformation will be examined. A quantitative survey was conducted over a period of six months to determine how employees perceive the digital transformation of their company and the resulting needs for continuing vocational training. Based on this, three current paradoxes are derived, which can be prevented by conducting continuing education as personal service. Recommendations and solutions will be discussed and further research is needed.