Auflistung nach Forschungsgruppen "Digitale Integration"

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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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    Does AI control or support? Power shifts after AI system implementation in customer relationship management
    (2023) Monod, Emmanuel; Lissillour, Raphael; Köster, Antonia; Jiayin, Qi
    Many companies are currently investing in artificial intelligence (AI) because of its potential to increase customer satisfaction or finan­ cial performance. However, the success rates in implementing AI systems are low, partly due to technology-centric approaches that neglect work practices. This study draws on Bourdieu’s theory of practice to highlight the potential power shift related to AI in customer relationship management, based on the concepts field, capital, and habitus. Two longitudinal case studies were conducted to understand the power shift related to AI implementation. These two AI systems were designed with the objective to support employees. However, subsequently, their implementation changed the balance of power with a significant shift towards more manage­ ment control, resulting in a devaluation of employees’ work prac­ tices. The paper discusses implications for theory and practice in terms of the discrepancies and power shifts following the introduc­ tion of AI systems to support customer relationship management.
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    From private digital platforms to public data spaces. Implications for the digital transformation
    (2022) Beverungen, Daniel; Hess, Thomas; Köster, Antonia; Lehrer, Christiane
    Technological developments such as Cloud Computing, the Internet of Things, Big Data and Artificial Intelligence continue to drive the digital transformation of business and society. With the advent of platform-based ecosystems and their potential to address complex challenges, there is a trend towards greater interconnectedness between different stakeholders to co-create services based on the provision and use of data. While previous research on digital transformation mainly focused on digital transformation within organizations, it is of growing importance to understand the implications for digital transformation on different layers (e.g., interorganizational cooperation and platform ecosystems). In particular, the conceptualization and implications of public data spaces and related ecosystems provide promising research opportunities. This special issue contains five papers on the topic of digital transformation and, with the editorial, further contributes by providing an initial conceptualization of public data spaces' potential to foster innovative progress and digital transformation from a management perspective.