What is it about?

Strategic decision-making processes involve many aspects of inquiry, including sensory perception, deliberative thinking, inquiry-based analysis, meta-learning, constant interaction with the external world and others. Many unknowns, uncertainties and environmental constraints shape how strategic decisions are made. This study develops a systematic taxonomy of decision-making frames that consists of 6 bases, 18 categories, and 54 elementary frames. We aim to lay out a computational foundation that captures a comprehensive landscape view of factors across strategic problems.

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Why is it important?

Good strategic decisions will allow an organization to survive and flourish. However bad strategic decisions may lead an organization to catastrophe. Typically, the strategic decision-making process requires tremendous resources and time. However, the outcome of this may still appear arbitrary. This paper presents a comprehensive survey and formulates a taxonomy of decision frames, including rational (Knowledge), irrational (Emotions), and non-rational (Probability) decision frames.


The idea of writing this paper is based on our accumulated experiences in industry and academia over several decades. The three co-authors have held leadership roles in computer science research. This article reflects on their leadership experiences and perspectives on strategic decision-making in the context of applying artificial intelligence and machine learning.

PhD Caesar Wu
Universite du Luxembourg

Read the Original

This page is a summary of: Strategic Decisions: Survey, Taxonomy, and Future Directions from Artificial Intelligence Perspective, ACM Computing Surveys, November 2022, ACM (Association for Computing Machinery),
DOI: 10.1145/3571807.
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