Open Access-Publikationen

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https://www.weizenbaum-library.de/handle/id/23

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Auflistung Open Access-Publikationen nach Forschungsgruppen "Arbeiten mit Künstlicher Intelligenz"

Gerade angezeigt 1 - 8 von 8
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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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    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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    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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