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Biloslavo, R, Edgar, D, Aydin, E and Bulut, C (2024) Artificial intelligence (AI) and strategic planning process within VUCA environments: a research agenda and guidelines. Management Decision. ISSN 0025-1747
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Artificial intelligence AI and strategic planning process within VUCAenvironments a research agenda and guidelines.pdf - Published Version Available under License Creative Commons Attribution. Download (14MB) | Preview |
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 paper theorises the role of AI in 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.
| Item Type: | Article |
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| Uncontrolled Keywords: | 1503 Business and Management; 1505 Marketing; 2202 History and Philosophy of Specific Fields; Business & Management |
| Subjects: | H Social Sciences > HF Commerce > HF5001 Business Q Science > QA Mathematics > QA75 Electronic computers. Computer science |
| Divisions: | Liverpool Business School |
| Publisher: | Emerald |
| SWORD Depositor: | A Symplectic |
| Date Deposited: | 23 Jul 2024 13:34 |
| Last Modified: | 23 Jul 2024 13:34 |
| DOI or ID number: | 10.1108/md-10-2023-1944 |
| URI: | https://researchonline.ljmu.ac.uk/id/eprint/23786 |
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