“Clip” thinking as the tool of Agile project management in an artificial intelligence environment

ITPM 2024: pp. 291 - 301

Authors:

  1. Natalia Bushuyeva
  2. Victoria Bushuieva
  3. Sergiy Bushuyev
  4. Kateryna Piliuhina
  5. Jurii Tykchonovych
  6. Alina Zaprivoda
  7. Oleksandr Chernysh

1 Kyiv National University of Construction and Architecture, 31, Povitroflotskyi Avenue, Kyiv, Ukraine

2 Kyiv National University of Construction and Architecture, 31, Povitroflotskyi Avenue, Kyiv, Ukraine

3 Kyiv National University of Construction and Architecture, 31, Povitroflotskyi Avenue, Kyiv, Ukraine
4 European Nuclear Education Network, Belgium

5 Kyiv National University of Construction and Architecture, 31, Povitroflotskyi Avenue, Kyiv, Ukraine

6 Kyiv National University of Construction and Architecture, 31, Povitroflotskyi Avenue, Kyiv, Ukraine

7 Kyiv National University of Construction and Architecture, 31, Povitroflotskyi Avenue, Kyiv, Ukraine

Abstract 

Clip thinking in Artificial intelligence is the tool Agile project management refers to breaking
down a large project into smaller, manageable parts, or “clips,” to plan, execute, and monitor the
project more effectively. This approach is closely aligned with the principles of Agile project
management, which emphasize flexibility, adaptability, and continuous improvement. By
breaking a project down into clips, Agile teams can focus on one specific area at a time, allowing
them to more effectively manage their resources, avoid scope creep, and deliver value to
stakeholders more quickly and efficiently. The iterative nature of Agile allows for adjustments to
be made to the project as it progresses, based on feedback and data-driven insights. Clip thinking
also encourages collaboration and communication among team members, as they work together
to identify the most critical areas of the project and prioritize their efforts accordingly. This
approach helps ensure that everyone is working towards a shared goal and that progress is
regularly made towards that goal. Clip thinking is a valuable approach for Agile project
management, as it helps teams stay focused, agile, and responsive to changing needs and
priorities throughout the project lifecycle. In the paper have been discussed clip thinking is a
powerful approach to Agile project management because it allows teams to focus on delivering
value to the customer in small, incremental steps. It also provides a framework for continuous
feedback and iteration, which helps teams to adapt to changing requirements and deliver a final
product that meets the customer’s needs.

Keywords

clip thinking; artificial intelligence; Agile methodology; project management; project lifecycle

References

[1] A Guidebook of Program & Project Management for Enterprise Innovation, (2017).
Third Edition P2M, Project Management Association of Japan (PMAJ), 427 p.
[2] IPMA Organisational Competence Baseline (IPMA OCB). (2013). IPMA, 67p.
[3] Individual Competence Baseline for project, programme & portfolio management.
(2015). Version 4.0. IPMA Editorial Committee. – IPMA: 431 p.
[4] Scaled Agile Framework (SAFe®). (2018). https://www.agilest.org/what-is-agileknowledge-
base/#agile-terms.
[5] A Guide to the Project Management of the Knowledge (PMBOK® Guide). (2021).
Seventh Edition. PMI, 370 p.
[6] N. Drouin, R. Müller, S. Sankaran, A.-L. Vaagaasar. Balancing leadership in projects: Role
of the socio-cognitive space. Project Leadership and Society. № 2. (2021), 12 р.
[7] Godoy, M. F. de, & Ribas Filho, D. Facing the BANI World. International Journal of
Nutrology, (2021). 14(2), 33. https://doi.org/10.1055/s-0041-1735848
[8] Kerzner, Harold. Value‐Driven Project Management. (2015).
https://doi.org/10.1002/9781119020042.ch4
[9] López S. De la Flor, Ferrando F., and Fabregat-Sanjuan A., “Learning/training video
clips: an efficient tool for improving learning outcomes in Mechanical Engineering”. doi:
https://doi.org/10.1186/s41239-016-0011-4. [Online]. Available:
http://educationaltechnologyjournal.springeropen.com/articles/10.1186/s41239-
016-0011-4. Accessed on: June 23, (2023).
[10] Bushuyev S., Kozyr B., Rusan N. Modeling of Empathy, Emotional Intelligence and
Transformational Leadership to the Project Success. Mathematical Modelling and
Simulation of Systems. Advances in Intelligent Systems and Computing Book Series.
Springer AG. (2020) vol. 972, P. 209-22
[11] Bushuyev, S., Bushuyeva, N., Bushuiev, D., Bushuieva, V. Inspirational emotions as a
driver of managing information-communication projects. International Scientific and
Technical Conference on Computer Sciences and Information Technologies, 2022,
(2022).-November, pp. 438–441
[12] Kornuta O., Pryhorovska T., and Potiomkina N., “Clip thinking and clip perception:
teaching methods aspect”. doi: https://doi.org/10.28925/2414-0325.2017.3.7579.
Available: https://openedu.kubg.edu.ua/journal/index.php/openedu/article/
view/71. Accessed on: June 19, (2023).
[13] Inam, H. To Lead In A VUCA World, Practice Leadership Agility
https://www.forbes.com/sites/hennainam/2017/10/18/to-lead-in-a-vuca-worldpractice-
leadership-agility/?sh=26c2c82190e3
[14] Carsten Kaufmann, Alexander Kock, Does project management matter? The
relationship between project management effort, complexity, and profitability,
International Journal of Project Management, Volume 40, Issue 6, (2022), 624-633,
https://doi.org/10.1016/j.ijproman.2022.05.007
[15] Bushuyev, S., Bushuyeva, N., Bushuiev, D.,Babayev, I.,Babayev, J. Modeling Leadership
for developing information technologies based on Agile methodology. SIST 2021 –
(2021) IEEE International Conference on Smart Information Systems and
Technologies, 2021
[16] Bomba A., Nazaruk M., Kunanets N., Pasichnyk V. Modeling the dynamics of knowledge
potential of agents in the educational social and communication environment //
Advances in Intelligent Systems and Computing (AISC). – 2020. – Vol. 1080: Advances
in intelligent systems and computing IV. Selected papers from the International
conference on computer science and information technologies, CSIT 2019, September
17-20, (2019), Lviv, Ukraine. – P. 17–24.
[17] Kononenko, I. V., & Kpodjedo, M. F. K.. Applying the Project Portfolio Management
Maturity Level Selection Method to an Organization. International Journal of
Computing, 21(2), (2022)195-204. https://doi.org/10.47839/ijc.21.2.2588
[18] Sherstiuk, O., Kolesnikov, O., Gogunskii, V., & Kolesnikova, K.. DEVELOPING THE
ADAPTIVE KNOWLEDGE MANAGEMENT IN CONTEXT OF ENGINEERING COMPANY
PROJECT ACTIVITIES. International Journal of Computing, (2020). 19(4), 590-598.
https://doi.org/10.47839/ijc.19.4.1993
[19] Shakhovska, N., Melnykova, N., Pobereiko, P., & Zakharchuk, M. Investigating Methods
of Searching for Key Frames in Video Flow with the Use of Neural Networks for Search
Systems. International Journal of Computing, (2023). 22(4), 455-461.
https://doi.org/10.47839/ijc.22.4.3352

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