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  1. Development and implementation processes of digitalization in engineer-to-order manufacturing: enablers and barriers.Sylvi Thun, Ottar Bakås & Tore Christian Bjørsvik Storholmen - 2022 - AI and Society 37 (2):725-743.
    This study seeks to gain knowledge about key conditions in the process of digitalization using a socio-technical systems design as a theoretical framework and a case-study approach. Semi-structured interviews with 15 relevant stakeholders are conducted to learn about barriers to and enablers of the development and implementation process in a manufacturing company. After conducting a thematic analysis, eight higher-ranked themes relevant to the digitalization process are identified. These are grouped to describe the overarching phenomena, resulting in four enablers and four (...)
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  • Impacts of digital business on global value chain participation in European countries.Le Thanh Ha - forthcoming - AI and Society:1-26.
    As the first empirical study of the nonlinear effects of digital business on global value chains (GVC), we provide insight into the nonlinear effects of digital business on the global value chain (GVC) values. We employ four indicators, including the value of online selling, sales through E-commerce, and customer relationship management (CRM) usage, to capture the prevalence of digital business in the economy. By testing a sample of 25 European countries that have been analyzed using various econometric techniques over the (...)
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  • Artificial intelligence and work: a critical review of recent research from the social sciences.Jean-Philippe Deranty & Thomas Corbin - forthcoming - AI and Society:1-17.
    This review seeks to present a comprehensive picture of recent discussions in the social sciences of the anticipated impact of AI on the world of work. Issues covered include: technological unemployment, algorithmic management, platform work and the politics of AI work. The review identifies the major disciplinary and methodological perspectives on AI’s impact on work, and the obstacles they face in making predictions. Two parameters influencing the development and deployment of AI in the economy are highlighted: the capitalist imperative and (...)
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