Strategic Management Agility in the Era of Artificial Intelligence: A Dynamic Capabilities Perspective
DOI:
https://doi.org/10.63985/ttbr.v2i2.115Keywords:
artificial intelligence, dynamic capabilities, strategic agility, strategic management, organizational agilityAbstract
The accelerating diffusion of artificial intelligence (AI) into strategic decision-making has renewed scholarly interest in how firms build the agility needed to sense, seize, and reconfigure resources under conditions of rapid technological change. While dynamic capabilities theory (DCT) offers a well-established lens for understanding strategic renewal, its application to AI-enabled organizational contexts remains fragmented across disparate empirical studies, each examining isolated mechanisms such as data-driven culture, leadership, or innovation performance. This article synthesizes recent literature to develop an integrated conceptual framework explaining how AI reconfigures the microfoundations of strategic management agility. Using a systematic literature review of publications indexed in Scopus, Web of Science, and Google Scholar between 2021 and 2026, this study maps how AI capabilities function as second-order dynamic capabilities that amplify sensing, seizing, and reconfiguring processes. The review identifies data-driven culture, digital leadership, organizational learning, and governance maturity as critical boundary conditions moderating whether AI translates into strategic agility or capability erosion. The novelty of this study lies in proposing an AI-Augmented Dynamic Capabilities (AI-ADC) framework that positions AI not as a standalone resource but as a catalytic infrastructure reshaping the sense-seize-reconfigure cycle. Implications for strategic management theory, managerial practice, and future research agendas are discussed
References
Akter, S., Hossain, M. A., Sajib, S., Sultana, S., Rahman, M., Vrontis, D., & McCarthy, G. (2023). A framework for AI-powered service innovation capability: Review and agenda for future research. Technovation, 125, 102768. https://doi.org/10.1016/j.technovation.2023.102768
Alfaqiyah, E., Alzubi, A., Aljuhmani, H. Y., & Öz, T. (2025). How Industry 4.0 technologies enhance supply chain resilience: The interplay of agility, adaptability, and customer integration in manufacturing firms. Sustainability, 17(17), 7922. https://doi.org/10.3390/su17177922
Alghamdi, O., & Agag, G. (2023). Boosting innovation performance through big data analytics powered by artificial intelligence use: An empirical exploration of the role of strategic agility and market turbulence. Sustainability, 15(19), 14296. https://doi.org/10.3390/su151914296
Ameen, N., Tarba, S., Cheah, J., Xia, S., & Sharma, G. (2024). Coupling artificial intelligence capability and strategic agility for enhanced product and service creativity. British Journal of Management, 35(4), 1652–1675. https://doi.org/10.1111/1467-8551.12797
Ashergawi, M., Aljuhmani, H. Y., & Alzubi, A. (2026). Empowering green innovation through artificial intelligence: The strategic role of organizational agility and technological readiness in the Turkish construction sector. Engineering Management Journal. https://doi.org/10.1080/10429247.2026.2616364
Ayoub, H., & Sopuru, J. (2026). Reconfiguring strategic capabilities in the digital era: How AI-enabled dynamic capability, data-driven culture, and organizational learning shape firm performance. Sustainability, 18(3), 1157. https://doi.org/10.3390/su18031157
Cimino, A., Ferrari, A., & Vecchio, P. D. (2025). Artificial intelligence adoption for sustainable growth in SMEs: An extended dynamic capability framework. Corporate Social Responsibility and Environmental Management. https://doi.org/10.1002/csr.70019
Gao, Y., Liu, S., & Yang, L. (2025). Artificial intelligence and innovation capability: A dynamic capabilities perspective. International Review of Economics & Finance. https://doi.org/10.1016/j.iref.2025.103923
Hossain, S., Fernando, M., & Akter, S. (2025). Digital leadership: Towards a dynamic managerial capability perspective of artificial intelligence-driven leader capabilities. Journal of Leadership & Organizational Studies. https://doi.org/10.1177/15480518251319624
Kao, P.-J. (2025). AI-augmented dynamic capabilities for business sustainability: Enactment through humanistic and instrumental approaches. Journal of Information Technology. https://doi.org/10.1177/02683962251392284
Kunc, M. (2026). Dynamic managerial capabilities for a complex world with AI. In M. Kunc (Ed.), Strategic analytics. Wiley. https://doi.org/10.1002/9781394316038.ch2
Mariani, C., & Mancini, M. (2025). Harnessing AI for value: Examining the impact of AI capabilities and the mediating role of organizational agility on project value proposition. International Journal of Managing Projects in Business. https://doi.org/10.1108/ijmpb-03-2025-0068
Mariani, M., & Dwivedi, Y. K. (2024). Generative artificial intelligence in innovation management: A preview of future research developments. Journal of Business Research, 175, 114542. https://doi.org/10.1016/j.jbusres.2024.114542
Nawab, T. (2024). Integrating artificial intelligence and strategic agility for enhancing sustainable innovation in post-COVID SMEs. iRASD Journal of Management, 6(4), 764–780. https://doi.org/10.52131/jom.2024.0604.0133
Pu, Y., Li, H., Hou, W., & Pan, X. (2025). The analysis of strategic management decisions and corporate competitiveness based on artificial intelligence. Scientific Reports, 15. https://doi.org/10.1038/s41598-025-02842-x
Shafiabady, N., Hadjinicolaou, N., Din, F., Bhandari, B., Wu, R., & Vakilian, J. (2023). Using artificial intelligence (AI) to predict organizational agility. PLOS ONE, 18(5), e0283066. https://doi.org/10.1371/journal.pone.0283066
Shahzad, F., & Ferreira, J. (2026). Artificial intelligence driven dynamic capabilities: Unpacking micro-foundational mechanisms. Management Decision. https://doi.org/10.1108/md-07-2025-2141
Shatila, K. (2026). From artificial intelligence strategy to strategic resilience: The roles of digital leadership, AI governance, and organizational agility. Strategy & Leadership. https://doi.org/10.1108/sl-01-2026-0020
Sjödin, D., Parida, V., & Kohtamäki, M. (2023). Artificial intelligence enabling circular business model innovation in digital servitization: Conceptualizing dynamic capabilities, AI capacities, business models and effects. Technological Forecasting and Social Change, 197, 122903. https://doi.org/10.1016/j.techfore.2023.122903
Wamba, S. F. (2022). Impact of artificial intelligence assimilation on firm performance: The mediating effects of organizational agility and customer agility. International Journal of Information Management, 67, 102544. https://doi.org/10.1016/j.ijinfomgt.2022.102544
Wang, N., Pan, S., & Wang, Y. (2025). How can artificial intelligence capabilities empower sustainable business model innovation? A dynamic capability perspective. Business Process Management Journal, 31(9), 3003–3025. https://doi.org/10.1108/bpmj-11-2024-1045
Wong, L.-W., Tan, G., Ooi, K., Lin, B., & Dwivedi, Y. (2022). Artificial intelligence-driven risk management for enhancing supply chain agility: A deep-learning-based dual-stage PLS-SEM-ANN analysis. International Journal of Production Research, 62(15), 5535–5555. https://doi.org/10.1080/00207543.2022.2063089
Yaseen, M. (2026). Artificial intelligence adoption and organizational effectiveness: The sequential mediating roles of digital transformation, strategic agility, and innovation capability with the moderating effect of top management support. ACADEMIA International Journal for Social Sciences. https://doi.org/10.63056/academia.5.3(s10).2026.2176
Zhong, L., Ady, S. U., & Indrasari, M. (2026). AI in strategic management and organizational agility of SMEs: Leadership, policy environment, and adaptive capability. Future Technology, 5(2). https://doi.org/10.55670/fpll.futech.5.2.1
Liu, Y., Zhang, J., Zheng, J., & Kamal, M. M. (2025). Artificial intelligence-enabled systems and innovation in B2B firms: The role of strategic agility and decision-making performance. Industrial Marketing Management. https://doi.org/10.1016/j.indmarman.2025.04.003.
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