Artificial intelligence (AI) and strategic planning process within VUCA environments: a research agenda and guidelines

Roberto Biloslavo*, David Edgar, Erhan Aydin, Cagri Bulut

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

3 Citations (Scopus)
181 Downloads (Pure)

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.

Original languageEnglish
Number of pages26
JournalManagement Decision
Early online date15 Jul 2024
DOIs
Publication statusE-pub ahead of print - 15 Jul 2024

Keywords

  • artificial intelligence
  • strategic planning
  • VUCA
  • Cynefin framework

ASJC Scopus subject areas

  • General Business,Management and Accounting
  • Management Science and Operations Research

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