CHANGE MANAGEMENT STRATEGY IMPLEMENTATION BASED ON MACHINE LEARNING, GRAPH THEORY AND MARKOV CHAIN WITH ABSORBING STATES
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United States of America
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Issued Date -
Apr 3, 2025
app pub date -
Oct 2, 2023
filing date -
Oct 2, 2023
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Abstract
A computer-implemented method assesses an impact of a change management strategy implementation. A first change management index score is identified. A graph theory is used to compute a degree centrality and a betweenness centrality of nodes, based on an adjacency matrix. A change management strategy framework is deployed based on the degree centrality, the betweenness centrality, and a closeness in a social media chain, to transition to one of the nodes having a probability above a predetermined probability threshold of influencing a change from one state to another. Personas are created that are associated with a particular technology, the identified first change management index score, the degree centrality, and the betweenness centrality of the nodes. A Markov chain model transition matrix measures a second change management index score after a time t is measured. A change management strategy framework is altered based on a parametric regression or a polynomial regression.
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