IDEAS home Printed from https://ideas.repec.org/a/eee/tefoso/v168y2021ics0040162521001554.html
   My bibliography  Save this article

Automation-driven innovation management? Toward Innovation-Automation-Strategy cycle

Author

Listed:
  • Makowski, Piotr Tomasz
  • Kajikawa, Yuya

Abstract

There is a resurging interest in automation because of rapid progress of machine learning and AI. In our perspective, innovation is not an exemption from their expansion. This situation gives us an opportunity to reflect on a direction of future innovation studies. In this conceptual paper, we propose a framework of innovation process by exploiting the concept of unit process. Deploying it in the context of automation, we indicate the important aspects of innovation process, i.e. human, organizational, and social factors. We also highlight the cognitive and interactive underpinnings at micro- and macro-levels of the process. We propose to embrace all those factors in what we call Innovation-Automation-Strategy cycle (IAS). Implications of IAS for future research are also put forward.

Suggested Citation

  • Makowski, Piotr Tomasz & Kajikawa, Yuya, 2021. "Automation-driven innovation management? Toward Innovation-Automation-Strategy cycle," Technological Forecasting and Social Change, Elsevier, vol. 168(C).
  • Handle: RePEc:eee:tefoso:v:168:y:2021:i:c:s0040162521001554
    DOI: 10.1016/j.techfore.2021.120723
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0040162521001554
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.techfore.2021.120723?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. Andreas Georg Scherer & Christian Voegtlin, 2020. "Corporate Governance for Responsible Innovation: Approaches to Corporate Governance and Their Implications for Sustainable Development," Post-Print hal-02623585, HAL.
    2. 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.
    3. Frank Arute & Kunal Arya & Ryan Babbush & Dave Bacon & Joseph C. Bardin & Rami Barends & Rupak Biswas & Sergio Boixo & Fernando G. S. L. Brandao & David A. Buell & Brian Burkett & Yu Chen & Zijun Chen, 2019. "Quantum supremacy using a programmable superconducting processor," Nature, Nature, vol. 574(7779), pages 505-510, October.
    4. Maxine Robertson & Jacky Swan & Sue Newell, 1996. "The Role of Networks In the Diffusion of Technological Innovation," Journal of Management Studies, Wiley Blackwell, vol. 33(3), pages 333-359, May.
    5. Llopis-Albert, Carlos & Rubio, Francisco & Valero, Francisco, 2021. "Impact of digital transformation on the automotive industry," Technological Forecasting and Social Change, Elsevier, vol. 162(C).
    6. 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).
    7. Andrew H. Van de Ven, 1986. "Central Problems in the Management of Innovation," Management Science, INFORMS, vol. 32(5), pages 590-607, May.
    8. Alex Chernoff & Casey Warman, 2023. "COVID-19 and implications for automation," Applied Economics, Taylor & Francis Journals, vol. 55(17), pages 1939-1957, April.
    9. Rodrigo, L. & Palacios, M., 2021. "What antecedent attitudes motivate actors to commit to the ecosystem of digital social innovation?," Technological Forecasting and Social Change, Elsevier, vol. 162(C).
    10. Frey, Carl Benedikt & Osborne, Michael A., 2017. "The future of employment: How susceptible are jobs to computerisation?," Technological Forecasting and Social Change, Elsevier, vol. 114(C), pages 254-280.
    11. Fosso Wamba, Samuel & Bawack, Ransome Epie & Guthrie, Cameron & Queiroz, Maciel M. & Carillo, Kevin Daniel André, 2021. "Are we preparing for a good AI society? A bibliometric review and research agenda," Technological Forecasting and Social Change, Elsevier, vol. 164(C).
    12. Song, ChiUng & Oh, Wankeun, 2015. "Determinants of innovation in energy intensive industry and implications for energy policy," Energy Policy, Elsevier, vol. 81(C), pages 122-130.
    13. Morelli, Neil & Potosky, Denise & Arthur, Winfred & Tippins, Nancy, 2017. "A Call for Conceptual Models of Technology in I-O Psychology: An Example From Technology-Based Talent Assessment," Industrial and Organizational Psychology, Cambridge University Press, vol. 10(4), pages 634-653, December.
    14. Kong, Dejing & Zhou, Yuan & Liu, Yufei & Xue, Lan, 2017. "Using the data mining method to assess the innovation gap: A case of industrial robotics in a catching-up country," Technological Forecasting and Social Change, Elsevier, vol. 119(C), pages 80-97.
    15. Giada Di Stefano & Alfonso Gambardella & Gianmario Verona, 2012. "Technology Push and Demand Pull Perspectives in Innovation Studies: Current Findings and Future Research Directions," Post-Print hal-00696607, HAL.
    16. Di Stefano, Giada & Gambardella, Alfonso & Verona, Gianmario, 2012. "Technology push and demand pull perspectives in innovation studies: Current findings and future research directions," Research Policy, Elsevier, vol. 41(8), pages 1283-1295.
    17. Eppinger, Steven D. & Browning, Tyson R., 2012. "Design Structure Matrix Methods and Applications," MIT Press Books, The MIT Press, edition 1, volume 1, number 0262017520, April.
    18. Arun Rai, 2020. "Explainable AI: from black box to glass box," Journal of the Academy of Marketing Science, Springer, vol. 48(1), pages 137-141, January.
    19. Dieperink, Carel & Brand, Iemy & Vermeulen, Walter, 2004. "Diffusion of energy-saving innovations in industry and the built environment: Dutch studies as inputs for a more integrated analytical framework," Energy Policy, Elsevier, vol. 32(6), pages 773-784, April.
    20. Van de Ven, Andrew R., 1986. "Central Problems in the Management of Innovation," Agricultural Research Policy Seminar 139708, University of Minnesota Extension.
    21. Ogawa, Takaya & Kajikawa, Yuya, 2017. "Generating novel research ideas using computational intelligence: A case study involving fuel cells and ammonia synthesis," Technological Forecasting and Social Change, Elsevier, vol. 120(C), pages 41-47.
    22. Brem, Alexander & Viardot, Eric & Nylund, Petra A., 2021. "Implications of the coronavirus (COVID-19) outbreak for innovation: Which technologies will improve our lives?," Technological Forecasting and Social Change, Elsevier, vol. 163(C).
    23. Cainarca, Gian Carlo & Colombo, Massimo G. & Mariotti, Sergio, 1989. "An evolutionary pattern of innovation diffusion. The case of flexible automation," Research Policy, Elsevier, vol. 18(2), pages 59-86, April.
    24. Daniel Levinthal & Claus Rerup, 2006. "Crossing an Apparent Chasm: Bridging Mindful and Less-Mindful Perspectives on Organizational Learning," Organization Science, INFORMS, vol. 17(4), pages 502-513, August.
    25. Mark Dodgson & David M. Gann & Ammon. J Salter, 2002. "The Intensification Of Innovation," International Journal of Innovation Management (ijim), World Scientific Publishing Co. Pte. Ltd., vol. 6(01), pages 53-83.
    26. Bonnín Roca, Jaime & Vaishnav, Parth & Morgan, Granger M. & Fuchs, Erica & Mendonça, Joana, 2021. "Technology Forgiveness: Why emerging technologies differ in their resilience to institutional instability," Technological Forecasting and Social Change, Elsevier, vol. 166(C).
    27. Gordon MacKerron, 1995. "Innovation in Energy Supply: The Case of Electricity," Chapters, in: Mark Dodgson & Roy Rothwell (ed.), The Handbook of Industrial Innovation, chapter 13, Edward Elgar Publishing.
    28. Clayton M. Christensen & Rory McDonald & Elizabeth J. Altman & Jonathan E. Palmer, 2018. "Disruptive Innovation: An Intellectual History and Directions for Future Research," Journal of Management Studies, Wiley Blackwell, vol. 55(7), pages 1043-1078, November.
    29. Kumaresan, Nageswaran & Miyazaki, Kumiko, 1999. "An integrated network approach to systems of innovation--the case of robotics in Japan," Research Policy, Elsevier, vol. 28(6), pages 563-585, August.
    30. Valentina Cillo & Antonio Messeni Petruzzelli & Lorenzo Ardito & Manlio Del Giudice, 2019. "Understanding sustainable innovation: A systematic literature review," Corporate Social Responsibility and Environmental Management, John Wiley & Sons, vol. 26(5), pages 1012-1025, September.
    31. Gruetzemacher, Ross & Paradice, David & Lee, Kang Bok, 2020. "Forecasting extreme labor displacement: A survey of AI practitioners," Technological Forecasting and Social Change, Elsevier, vol. 161(C).
    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. Naeini, Ali Bonyadi & Zamani, Mehdi & Daim, Tugrul U. & Sharma, Mahak & Yalcin, Haydar, 2022. "Conceptual structure and perspectives on “innovation management”: A bibliometric review," Technological Forecasting and Social Change, Elsevier, vol. 185(C).
    2. Sonmezturk Bolatan, Gulin Idil & Giadedi, Abdulhakim & Daim, Tugrul, 2022. "Innovation leadership through technology transfer: Case of Turkish industry," Technology in Society, Elsevier, vol. 68(C).
    3. Loup-Noé Lévy & Jérémie Bosom & Guillaume Guerard & Soufian Ben Amor & Marc Bui & Hai Tran, 2022. "DevOps Model Appproach for Monitoring Smart Energy Systems," Energies, MDPI, vol. 15(15), pages 1-27, July.
    4. 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).
    5. Sandra Maria Correia Loureiro & Jorge Nascimento, 2021. "Shaping a View on the Influence of Technologies on Sustainable Tourism," Sustainability, MDPI, vol. 13(22), pages 1-18, November.
    6. Mariani, Marcello M. & Machado, Isa & Magrelli, Vittoria & Dwivedi, Yogesh K., 2023. "Artificial intelligence in innovation research: A systematic review, conceptual framework, and future research directions," Technovation, Elsevier, vol. 122(C).
    7. 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).

    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. Piotr Tomasz Makowski & Yuya Kajikawa, 2021. "Automation-driven innovation management? Toward Innovation-Automation-Strategy cycle," Papers 2103.02395, arXiv.org.
    2. Barreto, Tais S. & Lanivich, Stephen E. & Cox, Kevin C., 2022. "Temporal orientation as a robust predictor of innovation," Journal of Business Research, Elsevier, vol. 138(C), pages 287-300.
    3. Yogesh K. Dwivedi & A. Sharma & Nripendra P. Rana & M. Giannakis & P. Goel & Vincent Dutot, 2023. "Evolution of Artificial Intelligence Research in Technological Forecasting and Social Change: Research Topics, Trends, and Future Directions," Post-Print hal-04292607, HAL.
    4. Gopesh Anand & John Gray & Enno Siemsen, 2012. "Decay, Shock, and Renewal: Operational Routines and Process Entropy in the Pharmaceutical Industry," Organization Science, INFORMS, vol. 23(6), pages 1700-1716, December.
    5. Soltanzadeh, Javad & Sahebjamnia, Navid & Khosroshahi, Elnaz Mesma & Bouguerra, Abderaouf, 2024. "Commercializing Covid-19 diagnostic technologies: A review of challenges, success factors, and insights from the profiting from innovation framework," Technovation, Elsevier, vol. 130(C).
    6. Hajkowicz, Stefan & Naughtin, Claire & Sanderson, Conrad & Schleiger, Emma & Karimi, Sarvnaz & Bratanova, Alexandra & Bednarz, Tomasz, 2022. "Artificial intelligence for science – adoption trends and future development pathways," MPRA Paper 115464, University Library of Munich, Germany.
    7. Caselli, Mauro & Fracasso, Andrea & Traverso, Silvio, 2021. "Robots and risk of COVID-19 workplace contagion: Evidence from Italy," Technological Forecasting and Social Change, Elsevier, vol. 173(C).
    8. Feng Men & Fangqi Dong & Yiying Liu & Hongxiong Yang, 2023. "Research on the Impact of Digital Transformation on the Product R&D Performance of Automobile Enterprises from the Perspective of the Innovation Ecosystem," Sustainability, MDPI, vol. 15(7), pages 1-18, April.
    9. Jessica Breaugh & Keegan McBride & Moritz Kleinaltenkamp & Gerhard Hammerschmid, 2021. "Beyond Diffusion: A Systematic Literature Review of Innovation Scaling," Sustainability, MDPI, vol. 13(24), pages 1-21, December.
    10. Arpan Kumar Kar & Amit Kumar Kushwaha, 2023. "Facilitators and Barriers of Artificial Intelligence Adoption in Business – Insights from Opinions Using Big Data Analytics," Information Systems Frontiers, Springer, vol. 25(4), pages 1351-1374, August.
    11. Zhang, Stephen X. & Chen, Jiyao & He, Liangxing & Choudhury, Afreen, 2023. "Responsible Innovation: The development and validation of a scale," Technovation, Elsevier, vol. 124(C).
    12. Bernard Sinclair-Desgagné, 2022. "Measuring innovation and innovativeness: a data-mining approach," Quality & Quantity: International Journal of Methodology, Springer, vol. 56(4), pages 2415-2434, August.
    13. Liu, Zhiqiang & Yan, Miao & Fan, Youqing & Chen, Liling, 2021. "Ascribed or achieved? The role of birth order on innovative behaviour in the workplace," Journal of Business Research, Elsevier, vol. 134(C), pages 480-492.
    14. Cécile Fonrouge & Cécile Ayerbe, 2005. "Les transitions entre innovations : études de cas et proposition d'une grille d'interprétation," Post-Print halshs-00696111, HAL.
    15. Christoph P. Kiefer & Pablo Del Río González & Javier Carrillo‐Hermosilla, 2019. "Drivers and barriers of eco‐innovation types for sustainable transitions: A quantitative perspective," Business Strategy and the Environment, Wiley Blackwell, vol. 28(1), pages 155-172, January.
    16. Jean-Philippe Denis & Frank Tannery, 2002. "L'architecture des systèmes de contrôle de la stratégie dans les groupes," Revue Finance Contrôle Stratégie, revues.org, vol. 5(3), pages 69-114, September.
    17. Anil K. Gupta & Paul E. Tesluk & M. Susan Taylor, 2007. "Innovation At and Across Multiple Levels of Analysis," Organization Science, INFORMS, vol. 18(6), pages 885-897, December.
    18. Brigitte Charles-Pauvers & Nathalie Schieb-Bienfait & Caroline Urbain, 2004. "La compétence du créateur d’entreprise innovante : quelles interrogations?," Post-Print hal-01416605, HAL.
    19. Paolo E. Giordani & Francesco Rullani, 2020. "The Digital Revolution and COVID-19," Working Papers 06, Department of Management, Università Ca' Foscari Venezia.
    20. Simona Alfiero & Laura Broccardo & Massimo Cane & Alfredo Esposito, 2018. "High Performance Through Innovation Process Management in SMEs. Evidence from the Italian wine sector," MANAGEMENT CONTROL, FrancoAngeli Editore, vol. 2018(3), pages 87-110.

    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:168:y:2021:i:c:s0040162521001554. 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.