IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v15y2023i9p7205-d1133283.html
   My bibliography  Save this article

Use of Artificial Intelligence in Terms of Open Innovation Process and Management

Author

Listed:
  • Aleksandra Kuzior

    (Department of Applied Social Sciences, Faculty of Organization and Management, Silesian University of Technology, 26 Roosevelt Street, 41-800 Zabrze, Poland
    Oleg Balatskyi Department of Management, Sumy State University, 40007 Sumy, Ukraine)

  • Mariya Sira

    (Department of Applied Social Sciences, Faculty of Organization and Management, Silesian University of Technology, 26 Roosevelt Street, 41-800 Zabrze, Poland
    Joint Doctoral School, Silesian University of Technology, 44-100 Gliwice, Poland)

  • Paulina Brożek

    (JSofteris Company, 41-200 Sosnowiec, Poland)

Abstract

Organizations see open innovation as important to their future growth strategy. The increasing interest in artificial intelligence has led to a heightened interest in its potential applications in many industries. Many firms invest heavily in artificial intelligence intending to innovate their business models, though managers often lack understanding when trying to implement artificial intelligence in their operations. The data was retrieved from the Scopus database and was analyzed using the R Bibliometrix Biblioshiny and VOSviewer software. The aim of the article is to indicate the consistency in the formation of open innovation processes while applying artificial intelligence and to provide the profile of perspectives on artificial intelligence adoption in innovation management. This paper provides a deeper perception of artificial intelligence and how it can be used to drive open innovation processes and business model innovation within the use of artificial intelligence in open innovation processes and artificial intelligence in the management of open innovation. The authors discuss how recent advances in artificial intelligence have created new opportunities for increased external collaboration. The study found that the rise of artificial intelligence as a key technology for promoting openness and collaboration has ushered in a new era of achievable open innovation. Our presented findings suggest the sequence of open innovation processes powered by artificial intelligence and insights into the artificial intelligence application to innovation management.

Suggested Citation

  • Aleksandra Kuzior & Mariya Sira & Paulina Brożek, 2023. "Use of Artificial Intelligence in Terms of Open Innovation Process and Management," Sustainability, MDPI, vol. 15(9), pages 1-16, April.
    • Handle: RePEc:gam:jsusta:v:15:y:2023:i:9:p:7205-:d:1133283
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/15/9/7205/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/15/9/7205/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Mark Fenwick & Erik P. M. Vermeulen & Marcelo Corrales, 2018. "Business and Regulatory Responses to Artificial Intelligence: Dynamic Regulation, Innovation Ecosystems and the Strategic Management of Disruptive Technology," Perspectives in Law, Business and Innovation, in: Marcelo Corrales & Mark Fenwick & Nikolaus Forgó (ed.), Robotics, AI and the Future of Law, pages 81-103, Springer.
    2. Aria, Massimo & Cuccurullo, Corrado, 2017. "bibliometrix: An R-tool for comprehensive science mapping analysis," Journal of Informetrics, Elsevier, vol. 11(4), pages 959-975.
    3. Jarrahi, Mohammad Hossein, 2018. "Artificial intelligence and the future of work: Human-AI symbiosis in organizational decision making," Business Horizons, Elsevier, vol. 61(4), pages 577-586.
    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. Valentina Lazzarotti & Raffaella Manzini, 2009. "Different Modes Of Open Innovation: A Theoretical Framework And An Empirical Study," International Journal of Innovation Management (ijim), World Scientific Publishing Co. Pte. Ltd., vol. 13(04), pages 615-636.
    6. Aleksandra Kuzior & Aleksy Kwilinski & Volodymyr Tkachenko & Volodymyr Tkachenko, 2019. "Sustainable development of organizations based on the combinatorial model of artificial intelligence," Entrepreneurship and Sustainability Issues, VsI Entrepreneurship and Sustainability Center, vol. 7(2), pages 1353-1376, December.
    7. Tomasz Wołowiec & Svitlana Kolosok & Tetiana Vasylieva & Artem Artyukhov & Łukasz Skowron & Oleksandr Dluhopolskyi & Larysa Sergiienko, 2022. "Sustainable Governance, Energy Security, and Energy Losses of Europe in Turbulent Times," Energies, MDPI, vol. 15(23), pages 1-15, November.
    8. van Eck, N.J.P. & Waltman, L., 2009. "VOSviewer: A Computer Program for Bibliometric Mapping," ERIM Report Series Research in Management ERS-2009-005-LIS, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam.
    9. Yuriy Bilan & Yaryna Samusevych & Serhiy Lyeonov & Marcin Strzelec & Iryna Tenytska, 2022. "The Keys to Clean Energy Technology: Impact of Environmental Taxes on Biofuel Production and Consumption," Energies, MDPI, vol. 15(24), pages 1-22, December.
    10. Mihaela Popescu, 2022. "Energy Efficiency in Electric Transportation Systems," Energies, MDPI, vol. 15(21), pages 1-5, November.
    11. Ivana Racetin & Jelena Kilić Pamuković & Mladen Zrinjski & Marina Peko, 2022. "Blockchain-Based Land Management for Sustainable Development," Sustainability, MDPI, vol. 14(17), pages 1-15, August.
    12. Haftor, Darek. M. & Climent Costa, Ricardo, 2023. "Five dimensions of business model innovation: A multi-case exploration of industrial incumbent firm’s business model transformations," Journal of Business Research, Elsevier, vol. 154(C).
    13. Mariani, Marcello M. & Machado, Isa & Nambisan, Satish, 2023. "Types of innovation and artificial intelligence: A systematic quantitative literature review and research agenda," Journal of Business Research, Elsevier, vol. 155(PB).
    14. Nathalie Rodet-Kroichvili & Katy Cabaret & Fabienne Picard, 2014. "New Insights into Innovation: The Business Model Approach and Chesbrough's Seminal Contribution to Open Innovation," Journal of Innovation Economics, De Boeck Université, vol. 0(3), pages 79-99.
    15. Zirar, Araz & Ali, Syed Imran & Islam, Nazrul, 2023. "Worker and workplace Artificial Intelligence (AI) coexistence: Emerging themes and research agenda," Technovation, Elsevier, vol. 124(C).
    16. Wright, Scott A. & Schultz, Ainslie E., 2018. "The rising tide of artificial intelligence and business automation: Developing an ethical framework," Business Horizons, Elsevier, vol. 61(6), pages 823-832.
    17. Yaryna Samusevych & Serhiy Lyeonov & Artem Artyukhov & Volodymyr Martyniuk & Iryna Tenytska & Joanna Wyrwisz & Krystyna Wojciechowska, 2023. "Optimal Design of Transport Tax on the Way to National Security: Balancing Environmental Footprint, Energy Efficiency and Economic Growth," Sustainability, MDPI, vol. 15(1), pages 1-14, January.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. José Manuel Saiz-Alvarez, 2024. "Innovation Management: A Bibliometric Analysis of 50 Years of Research Using VOSviewer ® and Scopus," World, MDPI, vol. 5(4), pages 1-28, October.
    2. Zhen Liu & Yixin Liu & Mohamed Osmani, 2024. "Integration of Smart City Technology and Business Model Innovation," Sustainability, MDPI, vol. 16(12), pages 1-30, June.
    3. Mohammed Hibban & Dr. Abhishek, 2024. "Innovation management among the Indian small and medium-sized enterprises focusing on artificial intelligence: Opportunities and the way forward," Indian Journal of Commerce and Management Studies, Educational Research Multimedia & Publications,India, vol. 15(2), pages 10-17, May.

    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. Johnson Ankrah & Ana Monteiro & Helena Madureira, 2022. "Bibliometric Analysis of Data Sources and Tools for Shoreline Change Analysis and Detection," Sustainability, MDPI, vol. 14(9), pages 1-23, April.
    2. Zoltán Lakner & Brigitta Plasek & Gyula Kasza & Anna Kiss & Sándor Soós & Ágoston Temesi, 2021. "Towards Understanding the Food Consumer Behavior–Food Safety–Sustainability Triangle: A Bibliometric Approach," Sustainability, MDPI, vol. 13(21), pages 1-23, November.
    3. Ahmed Tlili & Daniel Burgos & Ronghuai Huang & Sanjaya Mishra & Ramesh Chander Sharma & Aras Bozkurt, 2021. "An Analysis of Peer-Reviewed Publications on Open Educational Practices (OEP) from 2007 to 2020: A Bibliometric Mapping Analysis," Sustainability, MDPI, vol. 13(19), pages 1-15, September.
    4. Hull, Simon Antony, 2024. "All for one and one for all? Exploring the nexus of land administration, land management and land governance," Land Use Policy, Elsevier, vol. 144(C).
    5. Hugo Palácios & Helena de Almeida & Maria José Sousa, 2021. "A Bibliometric Analysis of Service Climate as a Sustainable Competitive Advantage in Hospitality," Sustainability, MDPI, vol. 13(21), pages 1-27, November.
    6. Christoph Keding, 2021. "Understanding the interplay of artificial intelligence and strategic management: four decades of research in review," Management Review Quarterly, Springer, vol. 71(1), pages 91-134, February.
    7. Omolola M. Adisa & Muthoni Masinde & Joel O. Botai & Christina M. Botai, 2020. "Bibliometric Analysis of Methods and Tools for Drought Monitoring and Prediction in Africa," Sustainability, MDPI, vol. 12(16), pages 1-22, August.
    8. Gessler, Michael & Nägele, Christof & Stalder, Barbara, 2021. "Scoping review on research at the boundary between learning and working: A bibliometric mapping analysis of the last decade," International Journal for Research in Vocational Education and Training (IJRVET), European Research Network in Vocational Education and Training (VETNET), European Educational Research Association, vol. 8(4), pages 170-206.
    9. Hartley, Janet L. & Sawaya, William J., 2019. "Tortoise, not the hare: Digital transformation of supply chain business processes," Business Horizons, Elsevier, vol. 62(6), pages 707-715.
    10. Andrej Kastrin & Dimitar Hristovski, 2021. "Scientometric analysis and knowledge mapping of literature-based discovery (1986–2020)," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(2), pages 1415-1451, February.
    11. Anna Trunk & Hendrik Birkel & Evi Hartmann, 2020. "On the current state of combining human and artificial intelligence for strategic organizational decision making," Business Research, Springer;German Academic Association for Business Research, vol. 13(3), pages 875-919, November.
    12. Haydar Yalcin & Tugrul Daim, 2021. "Mining research and invention activity for innovation trends: case of blockchain technology," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(5), pages 3775-3806, May.
    13. Collins C. Okolie & Abiodun A. Ogundeji, 2022. "Effect of COVID-19 on agricultural production and food security: A scientometric analysis," Palgrave Communications, Palgrave Macmillan, vol. 9(1), pages 1-13, December.
    14. Chatterjee, Joyjit & Dethlefs, Nina, 2021. "Scientometric review of artificial intelligence for operations & maintenance of wind turbines: The past, present and future," Renewable and Sustainable Energy Reviews, Elsevier, vol. 144(C).
    15. wael AL-khatib, Ayman, 2023. "Drivers of generative artificial intelligence to fostering exploitative and exploratory innovation: A TOE framework," Technology in Society, Elsevier, vol. 75(C).
    16. Di Vaio, Assunta & Palladino, Rosa & Hassan, Rohail & Escobar, Octavio, 2020. "Artificial intelligence and business models in the sustainable development goals perspective: A systematic literature review," Journal of Business Research, Elsevier, vol. 121(C), pages 283-314.
    17. Carmen Isensee & Kai-Michael Griese & Frank Teuteberg, 2021. "Sustainable artificial intelligence: A corporate culture perspective [Sustainable artificial intelligence: Eine unternehmenskulturelle Perspektive]," Sustainability Nexus Forum, Springer, vol. 29(3), pages 217-230, December.
    18. Claudia Patricia Maldonado-Erazo & María de la Cruz del Río-Rama & José Álvarez-García & Ana Carola Flores-Mancheno, 2022. "Use of Natural and Cultural Resources by Tourism as a Strategy for Regional Development: Bibliometric Analysis," Land, MDPI, vol. 11(8), pages 1-18, July.
    19. Wang, Chao & Lim, Ming K & Zhao, Longfeng & Tseng, Ming-Lang & Chien, Chen-Fu & Lev, Benjamin, 2020. "The evolution of Omega-The International Journal of Management Science over the past 40 years: A bibliometric overview," Omega, Elsevier, vol. 93(C).
    20. Sowa, Konrad & Przegalinska, Aleksandra & Ciechanowski, Leon, 2021. "Cobots in knowledge work," Journal of Business Research, Elsevier, vol. 125(C), pages 135-142.

    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:gam:jsusta:v:15:y:2023:i:9:p:7205-:d:1133283. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    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.