TY - CHAP A1 - Westner, Markus ED - Hofbauer, Günter T1 - Generative AI in Business BT - Opportunities, Challenges, and Strategic Implications Authors Markus Westner T2 - Artificial Intelligence in Business and Engineering N2 - Generative Artificial Intelligence (GenAI) is transforming industries at an unprecedented rate, offering novel opportunities for productivity and innovation. This article explores the adoption of GenAI, highlighting its accelerated uptake compared to previous technologies. Key topics include productivity gains through GenAI tools (e.g., ChatGPT, Klarna’s AI assistant), challenges such as data quality and organizational readiness, and the implications for business strategy. Practical recommendations for managing generative AI adoption and maximizing its impact on both individual and organizational levels are also provided. The analysis underscores the necessity of aligning AI capabilities with customer needs and creating data-driven, adaptable business models. KW - Generative AI KW - Productivity KW - Technology Adoption Y1 - 2025 SN - 978-3-17-046742-2 SP - 38 EP - 50 PB - Kohlhammer CY - Stuttgart ER - TY - CHAP A1 - Preiß, Niklas A1 - Westner, Markus T1 - From Agents to Copilots: a Systematic Review of Digital Assistant Technology Adoption in Proprietary Productivity Software T2 - Annals of Computer Science and Information Systems N2 - This study provides a systematic review of how the impact and adaptation of digital assistant technologies (DATs) are defined, operationalized, and studied, synthesizing key domains where DATs generate or are expected to generate value. Based on an analysis of 61 articles published since 2013, it identifies five main areas of impact: productivity and efficiency, business development, resource optimization, quality enhancement, and the promotion of learning and creativity. The review highlights DAT adoption across various disciplines and industries, while revealing limited longitudinal research on benefits and adaptation. Key gaps remain in understanding strategic use and sustained impact. Future research should explore longitudinal comparisons of recently introduced generative AI-driven DATs and their organizational implications. This review contributes to information systems research by structuring current knowledge on DAT adoption and outcomes, and by proposing a research agenda to support deeper exploration of their value and long-term integration. KW - Digital Assistant Technology KW - Copilot KW - Generative AI KW - Technology Adoption KW - Productivity Y1 - 2025 U6 - https://doi.org/10.15439/2025F3271 SN - 2300-5963 VL - 43 SP - 565 EP - 576 PB - Polish Information Processing Society ER - TY - CHAP A1 - Börsch-Supan, Axel A1 - Weiss, Matthias ED - Bloom, David ED - Souza-Poza, Alphonso ED - Sunde, Uwe T1 - Productivity in an Aging World T2 - The Routledge Handbook of the Economics of Ageing N2 - There is a widespread impression that older workers are less productive than their younger colleagues. If this impression were true, population ageing would have negative effects on overall productivity as the share of older workers is increasing and would thus directly reduce economic growth. A lack of economic growth would amplify the economic strains on ageing societies already exerted by increasing pension, healthcare, and long-term care expenditures. This chapter discusses many methodological challenges that have plagued the measurement of the link between age and productivity. It reviews micro- and macroeconomic studies and juxtaposes them with the literature on the relationship between population ageing and aggregate productivity. The methodologically most convincing studies on individual productivity in standard jobs find an initial increase in productivity, probably a learning effect, but then productivity remains flat until retirement. These micro-level studies measure productivity in a given technological environment and therefore ignore the contribution to productivity from improving this environment. This is where macro studies come into play, which suggest a negative influence of population ageing on total factor productivity. While the microeconomic and the macroeconomic evidence appear to contradict each other, they do not because they measure different relationships that are not linked through simple aggregation. This result has important implications for methodology and public policy. KW - Aging KW - Economic growth KW - Older workers KW - Productivity KW - Bevölkerung KW - Gerontologie KW - Wirtschaft Y1 - 2023 SN - 9780367713324 SN - 9781000812770 U6 - https://doi.org/10.4324/9781003150398-27 SP - 410 EP - 436 PB - Taylor & Francis ET - 1st edition ER -