IDEAS home Printed from https://ideas.repec.org/p/zbw/esrepo/281981.html

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. 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.
    2. 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).
    3. 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).
    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. Fu, Yu & Chen, Yijun & Zhang, Yulin & Wang, Menghan & Yu, Yuanchun, 2026. "Corporate productivity transformation under the innovation paradigm: The role and impact of artificial intelligence," Technology in Society, Elsevier, vol. 84(C).
    2. Flavio Spagnuolo & Raffaela Casciello & Ilaria Martino & Fiorenza Meucci, 2025. "Exploring the impact of artificial intelligence on the pursuit of SDGs: Evidence from European state‐owned enterprises," Corporate Social Responsibility and Environmental Management, John Wiley & Sons, vol. 32(2), pages 1987-2001, March.
    3. Zhou, Zhikai & Liu, Dewen & Chen, Zhongjie & Pancho, Martin, 2025. "Government adoption of generative artificial intelligence and ambidextrous innovation," International Review of Economics & Finance, Elsevier, vol. 98(C).
    4. Just, Julian, 2024. "Natural language processing for innovation search – Reviewing an emerging non-human innovation intermediary," Technovation, Elsevier, vol. 129(C).
    5. Mills, Stuart & Sætra, Henrik Skaug, 2025. "Algorithms in the room: AI, representation, and decisions about sustainable futures," Technovation, Elsevier, vol. 147(C).
    6. Mariani, Marcello M. & Fosso Wamba, Samuel, 2020. "Exploring how consumer goods companies innovate in the digital age: The role of big data analytics companies," Journal of Business Research, Elsevier, vol. 121(C), pages 338-352.
    7. Lin, Boqiang & Xu, Chongchong, 2024. "The effects of industrial robots on firm energy intensity: From the perspective of technological innovation and electrification," Technological Forecasting and Social Change, Elsevier, vol. 203(C).
    8. 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.
    9. Chen, Pengyu & Chu, Zhongzhu & Zhao, Miao, 2024. "The Road to corporate sustainability: The importance of artificial intelligence," Technology in Society, Elsevier, vol. 76(C).
    10. Jose Ramon Saura & Rita Bužinskienė, 2025. "Behavioral economics, artificial intelligence and entrepreneurship: an updated framework for management," International Entrepreneurship and Management Journal, Springer, vol. 21(1), pages 1-33, December.
    11. Giuseppe Pulito & Mariola Pytlikova & Sarah Schroeder & Magnus Lodefalk, 2026. "Who Adopts AI? Evidence on Firms, Technologies and Workers," CERGE-EI Working Papers wp818, The Center for Economic Research and Graduate Education - Economics Institute, Prague.
    12. 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.
    13. Luo, Shiyue & Lu, Mingyue & Ye, Jinhui & Guo, Yuying & Hao, Yu, 2025. "Nurturing finance and harvesting intelligence: The green growth of urban industrial intelligence fueled by green finance," Research in International Business and Finance, Elsevier, vol. 80(C).
    14. Cong Cheng & Zefeng Miao, 2025. "Leveraging digital connectivity for innovation performance: a fsQCA study on Chinese high-tech manufacturing firms," Humanities and Social Sciences Communications, Palgrave Macmillan, vol. 12(1), pages 1-12, December.
    15. Raffaele Conti & Miguel Godinho de Matos & Giovanni Valentini, 2024. "Big Data Analytics, Firm Size, and Performance," Strategy Science, INFORMS, vol. 9(2), pages 135-151, June.
    16. Standaert, Thomas & Andries, Petra, 2026. "Overcoming difficulties in knowledge transfer: Harnessing the power of AI to drive process innovation," Technovation, Elsevier, vol. 149(C).
    17. Flavio Calvino & Luca Fontanelli, 2026. "Decoding AI: an early look at how French firms use AI," Eurasian Business Review, Springer;Eurasia Business and Economics Society, vol. 16(1), pages 51-93, March.
    18. Hoffmann, Stefan & Lasarov, Wassili & Dwivedi, Yogesh K., 2024. "AI-empowered scale development: Testing the potential of ChatGPT," Technological Forecasting and Social Change, Elsevier, vol. 205(C).
    19. Nils Grashof & Alexander Kopka, 2023. "Widening or closing the gap? The relationship between artificial intelligence, firm-level productivity and regional clusters," Bremen Papers on Economics & Innovation 2304, University of Bremen, Faculty of Business Studies and Economics.
    20. Wang, Liangcheng & Chen, Yizheng, 2025. "Artificial intelligence and corporate investment efficiency: Evidence from China," Emerging Markets Review, Elsevier, vol. 68(C).

    More about this item

    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.