Proceedings of the International Conference on Sustainable Economics and Finance in the Digital Business Transformation (INCOSEF 2025)

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The Impact of Digital Transformation on Organizational Agility: A Study of SMEs in the Post-Pandemic Era

Authors
Anseena Anees Sabeena1, Srabani Das2, Ali Hassan3, Rukshanda Rahman4, Md Bayzid Kamal5, Mashuk Rahman Utsho6, Fahad Ahmed7, Hasan Mahmud Sozib8, *
1College of Business, Westcliff University, Irvine, CA, 92614, USA
2College of Education, Westcliff University, Irvine, CA, 92614, USA
3Department of Business Administration, International American University, Los Angeles, CA, 90010, USA
4College of Technology and Engineering, Westcliff University, Irvine, CA, 92614, USA
5Koppelman School of Business, Brooklyn College, Brooklyn, NY, 11210, USA
6St. Francis Graduate School of Advanced Studies, St. Francis College, Brooklyn, NY, 11201, USA
7College of Graduate and Professional Studies, Trine University, Angola, IN, 46703, USA
8Department of Electrical and Electronic Engineering, Ahsanullah University of Science and Technology, 141 & 142, Love Road, Tejgaon, Dhaka, 1208, Bangladesh
*Corresponding author. Email: sozib2019@gmail.com
Corresponding Author
Hasan Mahmud Sozib
Available Online 6 April 2026.
DOI
10.2991/978-94-6239-624-1_6How to use a DOI?
Keywords
Digital transformation; organizational agility; SMEs; machine learning; technology adoption
Abstract

Digital transformation has emerged as a critical driver of organizational agility for SMEs in the post-pandemic era, yet the measurement of agility and its predictors remains underexplored at scale. This study addresses this gap by leveraging a comprehensive, cross-national dataset of 491,636 SME technology adoption records, distinguishing between production and consumption technologies. Using advanced machine learning techniques—including Random Forest, XGBoost, and ensemble models—the research systematically evaluated the predictive power of technology adoption indicators on organizational agility outcomes. The Random Forest model achieved the highest test R2 (0.6249), demonstrating superior ability to capture the complex, non-linear relationships that characterize SME digitalization and agility. Key findings reveal that production technologies, such as automation and digital infrastructure, are stronger predictors of agility than widely adopted consumption technologies, challenging prevailing assumptions about the primacy of customer-facing digital tools. These insights not only advance theoretical understanding by integrating the Technology-Organization-Environment and dynamic capability frameworks, but also offer actionable guidance for SME leaders and policymakers. The results underscore the need for targeted investment in foundational digital capabilities and workforce upskilling to foster resilience and adaptability. Ultimately, this study demonstrates the transformative potential of machine learning in guiding data-driven digitalization strategies, equipping SMEs to navigate uncertainty and drive sustainable recovery in a rapidly evolving business landscape.

Copyright
© 2026 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the International Conference on Sustainable Economics and Finance in the Digital Business Transformation (INCOSEF 2025)
Series
Advances in Economics, Business and Management Research
Publication Date
6 April 2026
ISBN
978-94-6239-624-1
ISSN
2352-5428
DOI
10.2991/978-94-6239-624-1_6How to use a DOI?
Copyright
© 2026 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - Anseena Anees Sabeena
AU  - Srabani Das
AU  - Ali Hassan
AU  - Rukshanda Rahman
AU  - Md Bayzid Kamal
AU  - Mashuk Rahman Utsho
AU  - Fahad Ahmed
AU  - Hasan Mahmud Sozib
PY  - 2026
DA  - 2026/04/06
TI  - The Impact of Digital Transformation on Organizational Agility: A Study of SMEs in the Post-Pandemic Era
BT  - Proceedings of the International Conference on Sustainable Economics and Finance in the Digital Business Transformation (INCOSEF 2025)
PB  - Atlantis Press
SP  - 65
EP  - 77
SN  - 2352-5428
UR  - https://doi.org/10.2991/978-94-6239-624-1_6
DO  - 10.2991/978-94-6239-624-1_6
ID  - Sabeena2026
ER  -