Information and decision theories have point convergences when conjoined with the binodal Governance Tree depicting entity relationships. Information theory practice domains include data processing systems design, organization analysis, and advertising effectiveness; whereas decision theory practice areas encompass organization, learning, cybernetics, and sub-optimization disciplines. At the application-level, information theory techniques can be utilized for classification determination, impact assessments, and technological valuations while decision theory techniques can be employed for objectives determination, interaction assessments, performance estimates, and organizational analysis.
Commonly, entities are developed to satisfy a perceived need for a particular product or service based on available information. Some individuals and groups may consider it an “inconvenient truth” that organizational activities are indirectly, if not directly, impacted by extrapolated external conditions presented in root information. Collectively, first-tier Governance Tree entities represent external parties capable of directing and/or controlling second-tier nodal information and communication activity. Specifically, first-tier external parties provide expectation information impacting linked nodes within the Governance Tree model.
“View Part I of the First-Tier Governance Development series here“