Open Access-Publikationen

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Auflistung Open Access-Publikationen nach Forschungsbereichen "Organisation von Wissen"

Gerade angezeigt 1 - 14 von 14
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    An uncertain elite: Professional differences and similarities between engineers and tech workers in times of digital transformation
    (2025) Krzywdzinski, Martin; Pfeiffer, Sabine; Kuhlmann, Martin; Ottaiano, Mario; Heinlein, Michael; Ritter, Tobias; Neumer, Judith; Huchler, Norbert
    The digital transformation of industries has given rise to new categories of tech workers, such as software engineers and UX/UI designers, who now work alongside traditional engineers. This study explores the evolving relationship between these groups, focusing on work processes, status perceptions and professional interactions. The research questions addressed include: how has digitalisation affected these two groups’ work processes? what strategies do they use to maintain or improve their career paths? and how do their roles converge or diverge? Using qualitative data from interviews and workshops in a German automotive company undergoing a digital and electric mobility transformation, the study finds both competition and cooperation between engineers and IT professionals, with the former adopting some IT work methods and the latter adjusting to the highly structured processes of the industrial sector. Despite growing overlaps, distinct professional identities nevertheless remain.
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    Conference, „Digital Communities – Social proximity from a spatial distance“, 18th and 19th July 2024, Kiel University
    (2025) Schneiß, Daniel; Schröder, Fynn; Wanka, Katharina
    Tagungsbericht
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    Control and Flexibility: The Use of Wearable Devices in Capital- and Labor-Intensive Work Processes
    (2024) Krzywdzinski, Martin; Evers, Maren; Gerber, Christine
    The use of wearables in the workplace allows for close monitoring of work processes and might also have consequences for work content and skill requirements. Past research has emphasized the detrimental effects of wearables, particularly those caused by the standardization of work and monitoring of workers. By contrast, this study asks under what conditions the implementation of wearables as part of digital assistance systems is beneficial for workers. Based on recent contributions in the field of labor process theory, this study analyzes the implementation of new technologies using the concepts of the regulatory regime, organizational first-order factors, and workplace second-order choices. The analysis is based on findings from 48 interviews with 83 interviewees in 16 German manufacturing workplaces along with making site visits. It examines the implementation of wearables and the impacts on work content, skills, working conditions, and employment. Besides showing how labor agency affects the implementation of new technologies, the particular contribution of this study lies in analyzing the differences in the implementation of wearables in capital- and labor-intensive organizations. While standardization of work and reduction of work content prevailed in labor-intensive processes, capital-intensive processes were most often characterized by the extension of skill requirements and the risk of work intensification.
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    COVID-19 as a Jump Start for Industry 4.0? Motivations and Core Areas of Pandemic-Related Investments in Digital Technologies at German Firms
    (2023) Butollo, Florian; Flemming, Jana; Gerber, Christine; Krzywdzinski, Martin; Wandjo, David; Delicat, Nina; Herzog, Lorena
    Academic studies prior to the pandemic rather emphasized that the progression towards Industry 4.0 happened in an incremental manner. However, the extraordinary circumstances of the pandemic have led to considerable investments that were widely interpreted as a (generalized) digitalization push. However, little is known about the character of such investments and their effects. The goal of this contribution is to provide an empirically based overview of recent investment in digital technologies in six economic sectors of the German economy: mechanical engineering, chemicals, automotives, logistics, healthcare, and financial services. Based on 36 case studies and a survey at 540 companies, we investigate the following questions: 1. How much did the COVID-19 pandemic reduce existing obstacles for investments in digitalization measures? 2. Is there a universal digitalization push due to the COVID-19 pandemic that differs from the trajectory before the pandemic? The results show that the pandemic affected investment in an unequal manner. It was driven by the immediate need to sustain business operations through the virtualization of communication among employees and with external partners. However, there was less dynamism in shop-floor-related digitalization, as it was less related to epidemiological concerns and is more long-term in nature.
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    Editorial: Volume 2, Issue 1
    (Weizenbaum Institute, 2022) Emmer, Martin; Krasnova, Hanna; Krzywdzinski, Martin; Metzger, Axel; Schimmler, Sonja; Ulbricht, Lena
    This second issue of the Weizenbaum Journal of the Digital Society brings together four contributions that examine the role of actors and regulation in processes of digitalization from the perspective of different disciplines. The topics include the role of the Silicon Valley discourse on entrepreneurship in legitimizing a specific model of work in the IT industry, the particularities of the European platform regulation approach, the development and enforcement problems of copyright liability regulation in Germany, and the development and regulation of automation processes in the workplace.
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    Exploring Prompt Generation Utilizing Graph Search Algorithms for Ontology Matching
    (IOS Press, 2024) Sampels, Julian; Efeoglu, Sefika; Schimmler, Sonja; Salatino, Angelo; Alam, Mehwish; Ongenae, Femke; Vahdati, Sahar; Gentile, Anna-Lisa; Pellegrini, Tassilo; Jiang, Shufan
    The interoperability of domain ontologies, developed by domain experts, necessitates their alignment before attempting to match them. Within these ontologies, defined concepts often encounter an ambiguity problem stemming from the use of natural language. This interoperability issue raises the underlying ontology matching (OM) challenge. OM might be defined as the identification of correspondences or relationships between two or more entities, such as classes or properties among two or more ontologies. Rule-based ontology matching approaches, e.g., LogMap and AML have not outperformed machine learning based matchers on the Ontology Alignment Evaluation Initiative (OAEI) benchmark datasets, especially on the OAEI Conference track since 2020. Supervised machine or deep learning approaches produce the best results but require labeled training datasets. In the era of Large Language Models (LLMs), robust zero-shot prompting of LLMs can also return convincing responses. While prompt generation requires prompt template engineering by domain experts, contextual information about the concepts to be aligned can be retrieved by leveraging graph search algorithms. In this work, we explore how graph search algorithms, namely (i) Random Walk and (ii) Tree Traversal can be utilized to retrieve the contextual information to be incorporated into prompt templates. Through these algorithms, our approach refrains from considering all triples connected with a concept to be aligned in its contextual information creation. Our experiments show that including the retrieved contextual information in prompt templates improves the matcher’s performance. Additionally, our approach outperforms previous works leveraging zero-shot prompting.
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    Learning via assistance systems in industrial manufacturing. An experimental study in an Industry 4.0 environment
    (2023) Wotschack, Philip; Vladova, Gergana; De Paiva Lareiro, Patricia; Thim, Christof
    Purpose: The purpose of this paper is to investigate how learning solely via an assistance system influences work performance compared with learning with a combination of an assistance system and additional training. While the training literature has widely emphasised the positive role of on-the-job training, particularly for groups that are often underrepresented in formalised learning situations, organisational studies have stressed the risks that emerge when holistic process knowledge is lacking and how this negatively affects work performance. This study aims at testing these negative effects within an experimental design.
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    Organisationswandel und Wahrnehmung der Akzeptanz von Digitalisierungsprozessen in Unternehmen infolge der COVID-19-Pandemie
    (Springer VS, 2024) Delicat, Nina; Herzog, Lorena; Krzywdzinski, Martin; Butollo, Florian; Wandjo, David; Flemming, Jana; Gerber, Christine; Danyeli, Matthias; Pfeiffer, Sabine; Nicklich, Manuel; Henke, Michael; Heßler, Martina; Krzywdzinski, Martin; Schulz-Schaeffer, Ingo
    Der vorliegende Beitrag befasst sich mit der Akzeptanz von Digitalisierungs- und Automatisierungsprozessen. Untersucht wird, welche Digitalisierungsmaßnahmen während der Covid-19-Pandemie vorangetrieben wurden, inwieweit und wie diese Maßnahmen mit organisatorischen Veränderungen kombiniert wurden und wie sich die Akzeptanz der Digitalisierung durch die Beschäftigten aus der Sicht des Managements und der Betriebsräte während der Covid-19-Pandemie entwickelt hat. Für die Analyse wurden Daten aus zwei Wellen einer Unternehmensbefragung von jeweils 500–600 Unternehmen sowie 34 Fallstudien in sechs Branchen ausgewertet: der Automobilindustrie, der Chemieindustrie, dem Maschinen- und Anlagenbau, der Logistikbranche, der Gesundheitsbranche und dem Finanzdienstleistungssektor.
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    Riskante Retweets: „Predictive Risk Intelligence“ und Interessenvertretung in globalen Wertschöpfungsnetzwerken
    (2021) Heimstädt, Maximilian; Dobusch, Leonhard
    Soziale Medien spielen eine paradoxe Rolle für Interessenvertretung in globalen Wertschöpfungsnetzwerken. Zum einen bieten Social-Media-Plattformen Arbeitnehmer*innen und Gewerkschaften die Möglichkeit der Mobilisierung über geografische und institutionelle Distanzen hinweg. Zum anderen lassen diese Plattformen aber auch zu, dass Dritte die digitalen Spuren dieser Kommunikation über Interessenvertretung (z. B. Tweets) extrahieren und verarbeiten. Ziel dieses Beitrages ist es, eine Form dieser Verarbeitung – „Predictive Risk Intelligence“ – als neuen Forschungsgegenstand einzuführen. Anbieter von Predictive Risk Intelligence erstellen, basierend auf Social-Media-Daten, Vorhersagen über Ereignisse wie Streiks und Proteste. Diese Vorhersagen stellen sie anderen Akteuren – beispielsweise Unternehmen – als Dienstleistung zur Verfügung. In diesem Beitrag nähern wir uns dem neuen Forschungsgegenstand über eine Fallstudie zu einem Anbieter dieser Dienstleistung. Ausgehend von der Fallstudie entwickeln wir eine Reihe an Forschungsfragen in Bezug auf etablierte und neue Akteure der Interessenvertretung in Wertschöpfungsnetz- werken. Abschließend diskutieren wir Lösungsansätze für methodische Herausforderungen des neuen Forschungsgegenstandes.
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    Ronda. Real-Time Data Provision, Processing and Publication for Open Data
    (Springer International Publishing, 2021) Kirstein, Fabian; Bacher, Dario; Bohlen, Vincent; Schimmler, Sonja; Scholl, Hans Jochen; Gil-Garcia, J. Ramon; Janssen, Marijn; Kalampokis, Evangelos; Lindgren, Ida; Rodríguez Bolívar, Manuel Pedro
    The provision and dissemination of Open Data is a flourishing concept, which is highly recognized and established in the government and public administrations domains. Typically, the actual data is served as static file downloads, such as CSV or PDF, and the established software solutions for Open Data are mostly designed to manage this kind of data. However, the rising popularity of the Internet of things and smart devices in the public and private domain leads to an increase of available real-time data, like public transportation schedules, weather forecasts, or power grid data. Such timely and extensive data cannot be used to its full potential when published in a static, file-based fashion. Therefore, we designed and developed Ronda - an open source platform for gathering, processing and publishing real-time Open Data based on industry-proven and established big data and data processing tools. Our solution easily enables Open Data publishers to provide real-time interfaces for heterogeneous data sources, fostering more sophisticated and advanced Open Data use cases. We have evaluated our work through a practical application in a production environment.
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    The structural transformation of the scientific public sphere: Constitution and consequences of the path towards open access
    (2023) Dobusch, Leonhard; Heimstädt, Maximilian
    We are currently witnessing a fundamental structural transformation of the scientific public sphere, characterized by processes of specialization, metrification, internationalization, platformization and visibilization. In contrast to explanations of this structural transformation that invoke a technological determinism, we demonstrate its historical contingency by drawing on analytic concepts from organization theory and the case of the Open Access transformation in Germany. The digitization of academic journals has not broadened access to scientific output but narrowed it down even further in the course of the ‘serials crisis’. For a long time, research institutions were not able to convince large academic publishers to adopt less restrictive forms of access to academic journals. It was only through the emergence of new and in part illegal actors (shadow libraries and preprint servers) that the existing path could be broken, and an Open Access path constituted. Following this analysis, we discuss consequences of the Open Access transformation for the public spheres of science and democracy. We conclude that Open Access publishing can only help to transform both communicative spaces towards the normative ideal of a public sphere when complemented by systematic support for non- profit publication infrastructures.
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    Uncertain futures of work: The perception of generative AI in knowledge professions
    (Nomos, 2025) Butollo, Florian; Haase, Jennifer; Katzinski, Ann-Kathrin; Krüger, Anne K.; Kox, Thomas; Ullrich, André; Zech, Herbert
    The application of generative AI (GenAI) tools has led to widespread speculation about the implications of technological change for the future of cognitive work. This article provides insights on how the use of GenAI affects work practices in the fields of IT programming, science and coaching based on expert interviews and a quantitative survey among users of GenAI. Specifically, we ask about perceptions on skills, creativity, and authenticity, which we regard as key qualities of cognitive work. Contrary to widespread expectations that AI use would hollow out or substitute aspects of cognitive work, we find that there is a strong awareness for the meaning of the professional core in each field. We conclude that the use of AI provokes reflections about the meaning of human work in operating AI tools adequately and taking on responsibility for their results, thereby rather reinforcing its relevance.
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    Zwischen Wissenschaft, Praxis und Politik: Wie Juristen Gesetzgebungsverfahren in Fachzeitschriften begleiten
    (2022) Metzger, Axel; Schrör, Simon
    Die Rechtswissenschaft setzt sich in Zeiten transparenter Gesetzgebungsverfahren umfassend mit den Entwürfen und Vorschlägen für Gesetze und Richtlinien auseinander. Dadurch werden Wissenschaftler zu Sprechern im Diskurs mit Interessenverbänden, Rechtspraktikerinnen und Politikern, die sich während eines Gesetzgebungsverfahrens öffentlich zu Wort melden. Auch wenn sich Wissenschaft und Praxis damit in einem Diskursraum begegnen, so sind die methodischen Anforderungen an Beiträge zu diesem Diskurs doch nicht deckungsgleich. Für Beiträge mit wissenschaftlichem Anspruch können höhere Rationalitätsanforderungen gestellt werden als für jene mit rechtspraktischem Hintergrund. Die Beiträge zu laufenden Gesetzgebungsverfahren in juristischen Fachzeitschriften zeichnen jedoch ein verschwommenes Bild mit unklaren Grenzen zwischen den Rollen der Autoren und den methodischen Grundsätzen. Der Artikel betrachtet den gesetzgebungsbegleitenden Diskurs in juristischen Fachzeitschrif- ten aus der Perspektive der Diskurstheorie des Rechts und der juristischen Methodenlehre. Hierzu wird das empirische Beispiel der Reform des Europäischen Urheberrechts diskursanalytisch untersucht. Bei dieser politisch und gesellschaftlich umstrittenen Reform wurde von verschiedenen Akteuren, aus unterschiedlichen Perspektiven und mit divergierenden Interessen um Deutungen, Setzungen und Interpretationen der Reform und ihrer Folgen gerungen. Anhand dieses Falles zeigt der vorliegende Beitrag das Verhältnis wissenschaftlicher und praktischer Diskursbeiträge auf und diskutiert theoretisch untermauerte Anforderungen an Gesetzgebungsverfahren-begleitende Diskurse in der Rechtswissenschaft.