Artificial Intelligence (AI) is a branch of computer science
dealing with the simulation of intelligent behavior. Artificial Intelligence
(AI) constitutes an amorphous phenomenon. There are many different conceptions,
subconcepts, and hypotheses offered. Technologies are praised, but the final
results remain unclear. It appears to be an industry in its infancy, with the
life cycle itself enveloped in a future mystique. This article focuses on
methods for enclosing this idea within a systems framework.
The article resorts to qualitative analysis. An AI system
construct is the ultimate objective of the analysis. It advances a systems
theory framework as the boundary for an AI structure where all things would
fall into place. The article suggests a framework where an artificial
intelligence system has inputs, transformation processes and output. A feedback
loop as well. AI Inputs, transformation and output elements are all present-day
concepts referred to in current literature but not related to each other within
a systems structure.
The article concludes with a system construct for artificial
intelligence. It further applies this system construct to a contemporary
management issue i.e. strategic thinking. It relates system outcomes to
strategic thinking patterns and modes. It suggests a strategic thinking
framework that makes use of the outcomes of AI system flows, and translates
those into strategic behavior patterns and approaches.
The article provides a convenient vehicle for understanding
the components of artificial intelligence and their flow. Also, the
relationship between AI system outcomes and strategic thinking. It could be
useful in understanding AI applications and their situational relevance.
Author(s) Details
M. S. S. El Namaki
School of Management, Victoria University, Switzerland.
Please see the link:- https://doi.org/10.9734/bpi/strufp/v11/1671
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