| Title: | Artificial intelligence (AI) and strategic planning process within VUCA environments : a ǂresearch agenda and guidelines |
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| Authors: | ID Biloslavo, Roberto (Author)
ID Edgar, David A. (Author)
ID Aydin, Erhan (Author)
ID Bulut, Çağri (Author) |
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| Files: |  PDF - Presentation file, download (13,45 MB)
MD5: 1B6EE627D4B5E5B92304539770F35C16
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| Language: | English |
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| Typology: | 1.01 - Original Scientific Article |
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| Organization: |  ZRS Koper - Science and Research Centre Koper
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| Abstract: | Purpose – This study demonstrates how artificial intelligence (AI) shapes the strategic planning process in
volatile, uncertain, complex and ambiguous (VUCA) business environments.Having adopted various domains
of the Cynefin framework, the research explores AI’s transformative potential and provide insights regarding
how organisations can harness AI-driven solutions for strategic planning.
Design/methodology/approach –This conceptual papertheorises the role of AIin strategic planning process
in a VUCA world by integrating extant knowledge across multiple literature streams. The “model paper”
approach was adopted to provide a theoretical framework predicting relationships among considered concepts.
Findings – The paper highlights potential application of the Cynefin framework to manage complexities in
strategic decision-making process, the transformative impact of AI at different stages of strategic planning,
the required strategic planning characteristics within VUCA to be supported by AI and the attendant
challenges posed by AI integration in the uncertain business landscape.
Originality/value –This study pioneers a theoretical exploration of AI’s role in strategic planning within the
VUCA business landscape, guided by the Cynefin framework. Thus, it enriches scholarly discourse and
expands knowledge frontiers. |
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| Keywords: | artificial intelligence, strategic planning, VUCA |
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| Publication status: | In print |
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| Submitted for review: | 04.04.2023 |
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| Article acceptance date: | 19.06.2024 |
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| Publication date: | 01.01.2024 |
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| Year of publishing: | 2024 |
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| Number of pages: | 26 str. |
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| PID: | 20.500.12556/DiRROS-19276  |
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| UDC: | 004.896:005.71 |
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| ISSN on article: | 0025-1747 |
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| DOI: | 10.1108/MD-10-2023-1944
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| COBISS.SI-ID: | 201613571 |
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| Note: | Soavtorji: David Edgar, Erhan Aydin, Cagri Bulut;
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| Publication date in DiRROS: | 12.07.2024 |
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| Views: | 9 |
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| Downloads: | 4 |
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