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.
Featured Image
Photo by Jakob Owens on Unsplash
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.
Perspectives
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.
You can read the full text:
Contributors
The following have contributed to this page
