IDEAS home Printed from https://ideas.repec.org/p/zbw/esrepo/281981.html
   My bibliography  Save this paper

Artificial intelligence in innovation processes. A study using the example of an innvation research institute

Author

Listed:
  • Busch, Malte
  • Duwe, Daniel

Abstract

Artificial Intelligence (AI) is playing an increasingly important role in innovation processes. Using the example of an innovation research institute, this paper examines the role that AI plays in the institute's innovation processes, how experts from the various departments assess the impact of AI and what challenges they see. The paper brings together findings from systematically analysed AI and innovation literature with the qualitative assessments of employees.

Suggested Citation

  • Busch, Malte & Duwe, Daniel, 2023. "Artificial intelligence in innovation processes. A study using the example of an innvation research institute," EconStor Research Reports 281981, ZBW - Leibniz Information Centre for Economics.
    • Handle: RePEc:zbw:esrepo:281981
    DOI: 10.24406/publica-2314
    as

    Download full text from publisher

    File URL: https://www.econstor.eu/bitstream/10419/281981/1/Busch_Duwe_2023_Artificial_Intelligence_in_Innovation_Processes.pdf
    Download Restriction: no
    File URL: https://libkey.io/10.24406/publica-2314?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Rammer, Christian & Fernández, Gastón P. & Czarnitzki, Dirk, 2022. "Artificial intelligence and industrial innovation: Evidence from German firm-level data," Research Policy, Elsevier, vol. 51(7).
    2. Kakatkar, Chinmay & Bilgram, Volker & Füller, Johann, 2020. "Innovation analytics: Leveraging artificial intelligence in the innovation process," Business Horizons, Elsevier, vol. 63(2), pages 171-181.
    3. Füller, Johann & Hutter, Katja & Wahl, Julian & Bilgram, Volker & Tekic, Zeljko, 2022. "How AI revolutionizes innovation management – Perceptions and implementation preferences of AI-based innovators," Technological Forecasting and Social Change, Elsevier, vol. 178(C).
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Just, Julian, 2024. "Natural language processing for innovation search – Reviewing an emerging non-human innovation intermediary," Technovation, Elsevier, vol. 129(C).
    2. Czarnitzki, Dirk & Fernández, Gastón P. & Rammer, Christian, 2023. "Artificial intelligence and firm-level productivity," Journal of Economic Behavior & Organization, Elsevier, vol. 211(C), pages 188-205.
    3. Genghua Tang & Hongxun Mai, 2022. "How Does Manufacturing Intelligentization Influence Innovation in China from a Nonlinear Perspective and Economic Servitization Background?," Sustainability, MDPI, vol. 14(21), pages 1-16, October.
    4. Cong Cheng & Zefeng Miao, 2025. "Leveraging digital connectivity for innovation performance: a fsQCA study on Chinese high-tech manufacturing firms," Palgrave Communications, Palgrave Macmillan, vol. 12(1), pages 1-12, December.
    5. Zhou, Qiwei & Chen, Keyu & Cheng, Shuang, 2024. "Bringing employee learning to AI stress research: A moderated mediation model," Technological Forecasting and Social Change, Elsevier, vol. 209(C).
    6. Roberts, Deborah L. & Candi, Marina, 2024. "Artificial intelligence and innovation management: Charting the evolving landscape," Technovation, Elsevier, vol. 136(C).
    7. Minniti, Antonio & Prettner, Klaus & Venturini, Francesco, 2024. "Unslicing the pie: AI innovation and the labor share in European regions," Department of Economics Working Paper Series 369, WU Vienna University of Economics and Business.
    8. Igna, Ioana & Venturini, Francesco, 2023. "The determinants of AI innovation across European firms," Research Policy, Elsevier, vol. 52(2).
    9. Yoruk, Esin & Radosevic, Slavo & Fischer, Bruno, 2023. "Technological profiles, upgrading and the dynamics of growth: Country-level patterns and trajectories across distinct stages of development," Research Policy, Elsevier, vol. 52(8).
    10. Luong, Van Ha & Tarquini, Annalisa & Anadol, Yaprak & Klaus, Phil & Manthiou, Aikaterini, 2024. "Is digital fashion the future of the metaverse? Insights from YouTube comments," Journal of Retailing and Consumer Services, Elsevier, vol. 79(C).
    11. Xueyuan Gao & Hua Feng, 2023. "AI-Driven Productivity Gains: Artificial Intelligence and Firm Productivity," Sustainability, MDPI, vol. 15(11), pages 1-21, June.
    12. Xianpu Xu & Yuchen Song, 2023. "Is There a Conflict between Automation and Environment? Implications of Artificial Intelligence for Carbon Emissions in China," Sustainability, MDPI, vol. 15(16), pages 1-22, August.
    13. Nam, Jinyoung & Jung, Yoonhyuk & Kim, Junghwan, 2024. "Understandings of the AI business ecosystem in South Korea: AI startups’ perspective," Telecommunications Policy, Elsevier, vol. 48(6).
    14. Lin, Boqiang & Xu, Chongchong, 2024. "Enhancing energy-environmental performance through industrial intelligence: Insights from Chinese prefectural-level cities," Applied Energy, Elsevier, vol. 365(C).
    15. Christian Peukert & Margaritha Windisch, 2023. "The Economics of Copyright in the Digital Age," CESifo Working Paper Series 10687, CESifo.
    16. Rhaiem, Khalil & Halilem, Norrin, 2023. "The worst is not to fail, but to fail to learn from failure: A multi-method empirical validation of learning from innovation failure," Technological Forecasting and Social Change, Elsevier, vol. 190(C).
    17. Renz, Sabrina & Kalimeris, Jeanette & Hofreiter, Sebastian & Spörrle, Matthias, 2024. "Me, myself and AI: How gender, personality and emotions determine willingness to use Strong AI for self-improvement," Technological Forecasting and Social Change, Elsevier, vol. 209(C).
    18. Andres, Raphaela & Niebel, Thomas & Sack, Robin, 2024. "Big data and firm-level productivity: A cross-country comparison," ZEW Discussion Papers 24-053, ZEW - Leibniz Centre for European Economic Research.
    19. Jorzik, Philip & Klein, Sascha P. & Kanbach, Dominik K. & Kraus, Sascha, 2024. "AI-driven business model innovation: A systematic review and research agenda," Journal of Business Research, Elsevier, vol. 182(C).
    20. Pietronudo, Maria Cristina & Croidieu, Grégoire & Schiavone, Francesco, 2022. "A solution looking for problems? A systematic literature review of the rationalizing influence of artificial intelligence on decision-making in innovation management," Technological Forecasting and Social Change, Elsevier, vol. 182(C).

    More about this item

    Keywords

    Innovation process; Artificial intelligence (AI); Research Institute; Innovationsprozess; Künstliche Intelligenz (KI); Forschungsinsitut;
    All these keywords.

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:zbw:esrepo:281981. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: ZBW - Leibniz Information Centre for Economics (email available below). General contact details of provider: https://edirc.repec.org/data/zbwkide.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.