Empirical Evaluation of Dynamic Capability Development in Lean Startups: A Case Study on Agile Project Management Practices in AI-Driven Enterprises

Authors

  • Kim Jackson PhD
  • Mia Clark Associate Professor
  • Adrian Adams Professor

Keywords:

dynamic capabilities, lean startups, agile project management, AI-driven enterprises, organizational agility, strategic foresight, iterative learning, management science, technological adaptation

Abstract

This research investigates the crucial role of dynamic capabilities in the survival and growth of lean startups, particularly within AI-driven enterprises. By employing a case study methodology, we scrutinize agile project management practices to unearth how these startups adapt to rapidly changing technological landscapes. Our findings reveal a nuanced understanding of capability development processes, highlighting the importance of iterative learning and strategic foresight. The study provides practical implications for management practitioners aiming to enhance organizational agility and competitiveness in volatile markets.

Author Biographies

Kim Jackson, PhD

PhD
Massachusetts Institute of Technology
77 Massachusetts Ave, Cambridge, MA 02139, USA

Mia Clark, Associate Professor

Associate Professor
University of Cambridge
The Old Schools, Trinity Ln, Cambridge CB2 1TN, United Kingdom

Adrian Adams, Professor

Professor
University of Melbourne
Grattan Street, Parkville, Melbourne, VIC 3010, Australia

References

Rahimov, E., Rahimov, J., & Ahmedli, S. (2025). Determining the optimal relationship between speed and acceleration of a vehicle to minimize pollutant emissions into the atmosphere. Proceedings of the 2nd International Conference on Smart Environment and Green Technologies (ICSEGT2025), Vol. 1.

Published

2026-05-19

Issue

Section

Articles