Construction of models and application of syncretic innovation project management in the era of artificial intelligence

Authors

DOI:

https://doi.org/10.15587/1729-4061.2024.306436

Keywords:

syncretic approach, models, augmented competencies, integration, management methodologies, artificial intelligence

Abstract

The technological innovation landscape is rapidly evolving based on the convergence of knowledge and artificial intelligence. This creates unprecedented opportunities and challenges for managing innovative projects. The object of this study is the system of syncretic management of innovative projects in the era of the artificial intelligence explosion. The problem addressed is related to the application of principles, models, and methods of syncretic management of innovative projects in the context of integrating various elements, including interdisciplinary collaboration, artificial intelligence technologies, and adaptive methodologies, to optimize project outcomes. The result of the research is a system of syncretic management of innovative projects that encompasses various aspects of management, innovation, and integration with artificial intelligence systems. The essence of the results outlines the stages of managing the life cycles of innovative projects, emphasizing resource allocation, risk assessment, and adaptive strategies. In the field of innovation management, the model includes methodologies for idea generation, technological scouting, and open innovation, recognizing the role of artificial intelligence in shaping the innovation environment. A crucial aspect of the model is the integration of artificial intelligence technologies throughout the project. The syncretic approach emphasizes cross-functional collaboration, creating an environment where different disciplines contribute to project success seamlessly. The importance of the proposed approach is associated with the integration of syncretic control with artificial intelligence systems based on additional competencies. The effectiveness of the practical application of systems of integrated syncretic management of innovative projects was evaluated in the process of analyzing the situation and preparing solutions many times faster, with a quality that exceeds existing systems

Author Biographies

Sergiy Bushuyev, Kyiv National University of Construction and Architecture

Doctor of Technical Sciences, Professor, Head of Department

Department of Project Management

Andrii Ivko, Kyiv National University of Construction and Architecture

PhD, Associate Professor

Department of Project Management

References

  1. PMBOK® Guide (2021). Project Management Institute.
  2. A Guidebook of Program and Project Management for Enterprise Innovation P2M (2014). Project Management Association of Japan.
  3. Haefner, N., Wincent, J., Parida, V., Gassmann, O. (2021). Artificial intelligence and innovation management: A review, framework, and research agenda. Technological Forecasting and Social Change, 162, 120392. https://doi.org/10.1016/j.techfore.2020.120392
  4. Lokhande, A. (2022). Use of Artificial Intelligence Smart Tools in Projects. 2022 8th International Conference on Smart Structures and Systems (ICSSS). https://doi.org/10.1109/icsss54381.2022.9782273
  5. Reim, W., Åström, J., Eriksson, O. (2020). Implementation of Artificial Intelligence (AI): A Roadmap for Business Model Innovation. AI, 1 (2), 180–191. https://doi.org/10.3390/ai1020011
  6. Dwivedi, Y. K., Hughes, L., Ismagilova, E., Aarts, G., Coombs, C., Crick, T., Duan, Y. et al. (2021). Artificial Intelligence (AI): Multidisciplinary perspectives on emerging challenges, opportunities, and agenda for research, practice and policy. International Journal of Information Management, 57, 101994. https://doi.org/10.1016/j.ijinfomgt.2019.08.002
  7. Bushuyev, S., Bushuyeva, N., Bushuieva, V., Bushuiev, D. (2022). SMART intelligence models for managing innovation projects. CEUR Workshop Proceedings, 3171, 1463–1474. Available at: https://ceur-ws.org/Vol-3171/paper102.pdf
  8. Trach, R., Bushuyev, S. (2020). Analysis communication network of construction project participants. Scientific Review Engineering and Environmental Studies (SREES), 29 (3), 388–396. https://doi.org/10.22630/pniks.2020.29.3.33
  9. Bushuyev, S., Onyshchenko, S., Bushuyeva, N., Bondar, A. (2021). Modelling projects portfolio structure dynamics of the organization development with a resistance of information entropy. 2021 IEEE 16th International Conference on Computer Sciences and Information Technologies (CSIT). https://doi.org/10.1109/csit52700.2021.9648713
  10. Herremans, I. M., Nazari, J. A., Mahmoudian, F. (2015). Stakeholder Relationships, Engagement, and Sustainability Reporting. Journal of Business Ethics, 138 (3), 417–435. https://doi.org/10.1007/s10551-015-2634-0
  11. Lado, A. A., Boyd, N. G., Hanlon, S. C. (1997). Competition, Cooperation, and the Search for Economic Rents: A Syncretic Model. The Academy of Management Review, 22 (1), 110. https://doi.org/10.2307/259226
  12. Martinez, F., Peattie, K., Vazquez‐Brust, D. (2019). Beyond win–win: A syncretic theory on corporate stakeholder engagement in sustainable development. Business Strategy and the Environment, 28 (5), 896–908. https://doi.org/10.1002/bse.2292
  13. Mukhuty, S., Upadhyay, A., Rothwell, H. (2022). Strategic sustainable development of Industry 4.0 through the lens of social responsibility: The role of human resource practices. Business Strategy and the Environment, 31 (5), 2068–2081. https://doi.org/10.1002/bse.3008
  14. Murphy, M., Arenas, D., Batista, J. M. (2014). Value Creation in Cross-Sector Collaborations: The Roles of Experience and Alignment. Journal of Business Ethics, 130 (1), 145–162. https://doi.org/10.1007/s10551-014-2204-x
  15. Powell, M., Gillett, A., Doherty, B. (2018). Sustainability in social enterprise: hybrid organizing in public services. Public Management Review, 21 (2), 159–186. https://doi.org/10.1080/14719037.2018.1438504
  16. Rey-Garcia, M., Mato-Santiso, V., Felgueiras, A. (2020). Transitioning Collaborative Cross-Sector Business Models for Sustainability Innovation: Multilevel Tension Management as a Dynamic Capability. Business & Society, 60 (5), 1132–1173. https://doi.org/10.1177/0007650320949822
  17. Muntean, M. (2018). Business Intelligence Issues for Sustainability Projects. Sustainability, 10 (2), 335. https://doi.org/10.3390/su10020335
  18. Individual Competence Baseline for Project, Programme & Portfolio Management. Available at: https://products.ipma.world/wp-content/uploads/2016/03/IPMA_ICB_4_0_WEB.pdf
Construction of models and application of syncretic innovation project management in the era of artificial intelligence

Downloads

Published

2024-06-28

How to Cite

Bushuyev, S., & Ivko, A. (2024). Construction of models and application of syncretic innovation project management in the era of artificial intelligence. Eastern-European Journal of Enterprise Technologies, 3(3 (129), 44–54. https://doi.org/10.15587/1729-4061.2024.306436

Issue

Section

Control processes