IDEAS home Printed from https://ideas.repec.org/a/eee/tefoso/v162y2021ics004016252031218x.html
   My bibliography  Save this article

Artificial intelligence and innovation management: A review, framework, and research agenda✰

Author

Listed:
  • Haefner, Naomi
  • Wincent, Joakim
  • Parida, Vinit
  • Gassmann, Oliver

Abstract

Artificial Intelligence (AI) reshapes companies and how innovation management is organized. Consistent with rapid technological development and the replacement of human organization, AI may indeed compel management to rethink a company's entire innovation process. In response, we review and explore the implications for future innovation management. Using ideas from the Carnegie School and the behavioral theory of the firm, we review the implications for innovation management of AI technologies and machine learning-based AI systems. We outline a framework showing the extent to which AI can replace humans and explain what is important to consider in making the transformation to the digital organization of innovation. We conclude our study by exploring directions for future research.

Suggested Citation

  • Haefner, Naomi & Wincent, Joakim & Parida, Vinit & Gassmann, Oliver, 2021. "Artificial intelligence and innovation management: A review, framework, and research agenda✰," Technological Forecasting and Social Change, Elsevier, vol. 162(C).
  • Handle: RePEc:eee:tefoso:v:162:y:2021:i:c:s004016252031218x
    DOI: 10.1016/j.techfore.2020.120392
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S004016252031218X
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.techfore.2020.120392?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
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Yang Lu, 2019. "Artificial intelligence: a survey on evolution, models, applications and future trends," Journal of Management Analytics, Taylor & Francis Journals, vol. 6(1), pages 1-29, January.
    2. Hal Varian, 2018. "Artificial Intelligence, Economics, and Industrial Organization," NBER Chapters, in: The Economics of Artificial Intelligence: An Agenda, pages 399-419, National Bureau of Economic Research, Inc.
    3. Herbert A. Simon, 1996. "The Sciences of the Artificial, 3rd Edition," MIT Press Books, The MIT Press, edition 1, volume 1, number 0262691914, December.
    4. Agrawal, Ajay & Gans, Joshua S. & Goldfarb, Avi, 2019. "Exploring the impact of artificial Intelligence: Prediction versus judgment," Information Economics and Policy, Elsevier, vol. 47(C), pages 1-6.
    5. Avi Goldfarb & Bledi Taska & Florenta Teodoridis, 2020. "Artificial Intelligence in Health Care? Evidence from Online Job Postings," AEA Papers and Proceedings, American Economic Association, vol. 110, pages 400-404, May.
    6. C. K. Prahalad & Richard A. Bettis, 1986. "The dominant logic: A new linkage between diversity and performance," Strategic Management Journal, Wiley Blackwell, vol. 7(6), pages 485-501, November.
    7. Jeffrey L. Furman & Florenta Teodoridis, 2020. "Automation, Research Technology, and Researchers’ Trajectories: Evidence from Computer Science and Electrical Engineering," Organization Science, INFORMS, vol. 31(2), pages 330-354, March.
    8. Bob Kijkuit & Jan Van Den Ende, 2007. "The Organizational Life of an Idea: Integrating Social Network, Creativity and Decision‐Making Perspectives," Journal of Management Studies, Wiley Blackwell, vol. 44(6), pages 863-882, September.
    9. J. P. Eggers & Sarah Kaplan, 2009. "Cognition and Renewal: Comparing CEO and Organizational Effects on Incumbent Adaptation to Technical Change," Organization Science, INFORMS, vol. 20(2), pages 461-477, April.
    10. Wamba, Samuel Fosso & Gunasekaran, Angappa & Akter, Shahriar & Ren, Steven Ji-fan & Dubey, Rameshwar & Childe, Stephen J., 2017. "Big data analytics and firm performance: Effects of dynamic capabilities," Journal of Business Research, Elsevier, vol. 70(C), pages 356-365.
    11. Ward, Michael J. & Marsolo, Keith A. & Froehle, Craig M., 2014. "Applications of business analytics in healthcare," Business Horizons, Elsevier, vol. 57(5), pages 571-582.
    12. Yun, JinHyo Joseph & Won, DongKyu & Park, KyungBae & Jeong, EuiSeob & Zhao, Xiaofei, 2019. "The role of a business model in market growth: The difference between the converted industry and the emerging industry," Technological Forecasting and Social Change, Elsevier, vol. 146(C), pages 534-562.
    13. Charles Williams & Will Mitchell, 2004. "Focusing Firm Evolution: The Impact of Information Infrastructure on Market Entry by U.S. Telecommunications Companies, 1984--1998," Management Science, INFORMS, vol. 50(11), pages 1561-1575, November.
    14. Michael Shayne Gary, 2005. "Implementation strategy and performance outcomes in related diversification," Strategic Management Journal, Wiley Blackwell, vol. 26(7), pages 643-664, July.
    15. Raymond F. Zammuto & Terri L. Griffith & Ann Majchrzak & Deborah J. Dougherty & Samer Faraj, 2007. "Information Technology and the Changing Fabric of Organization," Organization Science, INFORMS, vol. 18(5), pages 749-762, October.
    16. Teece, David J., 1980. "Economies of scope and the scope of the enterprise," Journal of Economic Behavior & Organization, Elsevier, vol. 1(3), pages 223-247, September.
    17. Ron Adner & Phanish Puranam & Feng Zhu, 2019. "What Is Different About Digital Strategy? From Quantitative to Qualitative Change," Strategy Science, INFORMS, vol. 4(4), pages 253-261, December.
    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. Constance E. Helfat & Aseem Kaul & David J. Ketchen & Jay B. Barney & Olivier Chatain & Harbir Singh, 2023. "Renewing the resource‐based view: New contexts, new concepts, and new methods," Strategic Management Journal, Wiley Blackwell, vol. 44(6), pages 1357-1390, June.
    2. Thomas Hutzschenreuter & Julian Horstkotte, 2013. "Performance effects of top management team demographic faultlines in the process of product diversification," Strategic Management Journal, Wiley Blackwell, vol. 34(6), pages 704-726, June.
    3. Fernández-Pérez, Virginia & García-Morales, Victor J. & Pullés, Dainelis Cabeza, 2016. "Entrepreneurial decision-making, external social networks and strategic flexibility: The role of CEOs' cognition," European Management Journal, Elsevier, vol. 34(3), pages 296-309.
    4. Bahoo, Salman & Cucculelli, Marco & Qamar, Dawood, 2023. "Artificial intelligence and corporate innovation: A review and research agenda," Technological Forecasting and Social Change, Elsevier, vol. 188(C).
    5. Adrian Lüthge, 2020. "The concept of relatedness in diversification research: review and synthesis," Review of Managerial Science, Springer, vol. 14(1), pages 1-35, February.
    6. Christian Rammer & Gastón P Fernández & Dirk Czarnitzki, 2021. "Artificial Intelligence and Industrial Innovation: Evidence from Firm-Level Data," Working Papers of Department of Economics, Leuven 674605, KU Leuven, Faculty of Economics and Business (FEB), Department of Economics, Leuven.
    7. Kim, Jongwook & Mahoney, Joseph T., 2008. "A Strategic Theory of the Firm as a Nexus of Incomplete Contracts: A Property Rights Approach," Working Papers 08-0108, University of Illinois at Urbana-Champaign, College of Business.
    8. Hazhir Rahmandad & Nelson Repenning, 2016. "Capability erosion dynamics," Strategic Management Journal, Wiley Blackwell, vol. 37(4), pages 649-672, April.
    9. López Zapata, Esteban & García Muiña, Fernando Enrique & García, Susana María, 2019. "Analysing the relationship between diversification strategy and firm performance: the role of the economic cycle," Cuadernos de Gestión, Universidad del País Vasco - Instituto de Economía Aplicada a la Empresa (IEAE).
    10. Julian Birkinshaw & Mats Lingblad, 2005. "Intrafirm Competition and Charter Evolution in the Multibusiness Firm," Organization Science, INFORMS, vol. 16(6), pages 674-686, December.
    11. Bart Leten & Rene Belderbos & Bart Van Looy, 2016. "Entry and Technological Performance in New Technology Domains: Technological Opportunities, Technology Competition and Technological Relatedness," Journal of Management Studies, Wiley Blackwell, vol. 53(8), pages 1257-1291, December.
    12. Thomas Hutzschenreuter & Fabian Guenther, 2009. "Complexity as a constraint on firm expansion within and across industries," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 30(6), pages 373-392.
    13. Riccardo Vecchiato & Giampiero Favato & Francesco di Maddaloni & Hang Do, 2020. "Foresight, cognition, and long‐term performance: Insights from the automotive industry and opportunities for future research," Futures & Foresight Science, John Wiley & Sons, vol. 2(1), March.
    14. Ko, Young Jin & O'Neill, Hugh & Xie, Xuanli, 2021. "Strategic intent as a contingency of the relationship between external knowledge and firm innovation," Technovation, Elsevier, vol. 104(C).
    15. 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).
    16. Caldart, Adrian A. & Ricart, Joan E., 2006. "A formal evaluation of the performance of different corporate styles in stable and turbulent environments," IESE Research Papers D/621, IESE Business School.
    17. Henk W. Volberda & Nicolai J. Foss & Marjorie A. Lyles, 2010. "PERSPECTIVE---Absorbing the Concept of Absorptive Capacity: How to Realize Its Potential in the Organization Field," Organization Science, INFORMS, vol. 21(4), pages 931-951, August.
    18. Hutzschenreuter, Thomas & Horstkotte, Julian, 2013. "Managerial services and complexity in a firm’s expansion process: An empirical study of the impact on the growth of the firm," European Management Journal, Elsevier, vol. 31(2), pages 137-151.
    19. Szambelan, Sebastian & Jiang, Yi & Mauer, René, 2020. "Breaking through innovation barriers: Linking effectuation orientation to innovation performance," European Management Journal, Elsevier, vol. 38(3), pages 425-434.
    20. Felipe A. Csaszar, 2018. "What Makes a Decision Strategic? Strategic Representations," Strategy Science, INFORMS, vol. 3(4), pages 606-619, December.

    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:eee:tefoso:v:162:y:2021:i:c:s004016252031218x. 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: Catherine Liu (email available below). General contact details of provider: http://www.sciencedirect.com/science/journal/00401625 .

    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.