Published: 2025-06-01
Strategic Technology Adaptation Framework: AI, IoT, and the Shift in Strategic Paradigms
DOI: 10.35870/jemsi.v11i3.4154
Kasra Jaru Munara, Upik Sitti Aslia Kamil, Muhammad Rizki, Indra Pahala, Agung Wahyu Handaru
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Kasra Jaru Munara:
State University of Jakarta
- Upik Sitti Aslia Kamil: Kementerian Lingkungan Hidup
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Muhammad Rizki:
Politeknik STIA LAN Jakarta
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Indra Pahala:
State University of Jakarta
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Agung Wahyu Handaru:
State University of Jakarta
Abstract
The rapid evolution of strategic technologies such as Artificial Intelligence (AI) and the Internet of Things (IoT) has triggered a paradigm shift in how organizations formulate, implement, and adapt their strategies. However, the current literature on integrating these technologies with the dynamic capabilities framework remains fragmented. This study proposes the Strategic Technology Adaptation Framework (STAF) to conceptually bridge AI/IoT adoption with organizational sensing, seizing, and transforming capabilities. Employing a Systematic Literature Review (SLR) of 30 selected articles published between 2012 and 2024, this research maps the relationships between specific technologies and organizational capabilities across sectors. The study reveals that AI predominantly supports seizing and transforming capabilities through automation and predictive analytics, while IoT enhances sensing through real-time data integration. The proposed STAF model contributes to the dynamic capabilities theory by integrating technological foresight and strategic alignment. It also provides practical guidance for organizations seeking to build adaptive responses and strategic agility in disruptive environments. This study concludes by proposing future empirical validation of STAF through case studies and mixed-method approaches.
Keywords
Strategic Technology; Artificial Intelligence; Internet of Things; Dynamic Capabilities; Capability Mapping; Technology Adaptation; Strategic Agility; Organizational Strategy
Article Information
This article has been peer-reviewed and published in the JEMSI (Jurnal Ekonomi, Manajemen, dan Akuntansi). The content is available under the terms of the Creative Commons Attribution 4.0 International License.
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Issue: Vol. 11 No. 3 (2025)
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Section: Articles
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Published: 2025-06-01
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License: CC BY 4.0
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Copyright: © 2025 Authors
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DOI: 10.35870/jemsi.v11i3.4154
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Kasra Jaru Munara, State University of Jakarta
Universitas Negeri Jakarta.
Upik Sitti Aslia Kamil, Kementerian Lingkungan Hidup
Kementerian Lingkungan Hidup.
Muhammad Rizki, Politeknik STIA LAN Jakarta
Politeknik STIA LAN Jakarta.
Indra Pahala, State University of Jakarta
Universitas Negeri Jakarta.
Agung Wahyu Handaru, State University of Jakarta
Universitas Negeri Jakarta.
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