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Complexity theory also relates to knowledge management (KM) and organizational learning (OL). "Complex systems are, by any other definition, learning organizations." [18] Complexity Theory, KM, and OL are all complementary and co-dependent. [18] “KM and OL each lack a theory of how cognition happens in human social systems – complexity ...
A complex system is a system composed of many components which may interact with each other. [1] Examples of complex systems are Earth's global climate, organisms, the human brain, infrastructure such as power grid, transportation or communication systems, complex software and electronic systems, social and economic organizations (like cities), an ecosystem, a living cell, and, ultimately, for ...
Complexity management is a business methodology that deals with the analysis and optimization of complexity in enterprises. Effective complexity management is based on four pillars: alignment with the overall strategy of the company, transparency over all costs and benefits of complexity, identifying the optimization benefits, related measures and managing the trade-offs between parts of the ...
A system of organized complexity may be understood in its properties (behavior among the properties) through modeling and simulation, particularly modeling and simulation with computers. An example of organized complexity is a city neighborhood as a living mechanism, with the neighborhood people among the system's parts. [9]
According to requisite organization approach, the higher the complexity (quality and quantity) of a value that a company delivers to the society is, the higher the level of business complexity the company needs to create and maintain to deliver the value to the society effectively: [2]
Project complexity has different components and sources, including the product (typically expressed in terms of structural or technological complexity); as well as the organization, its processes; the surrounding legal, ethical, and regulatory environment; stakeholder complexity and their (often conflicting) objectives; market complexity.
The law of conservation of complexity, also known as Tesler's Law, [1] [2] [3] or Waterbed Theory, [4] is an adage in human–computer interaction stating that every application has an inherent amount of complexity that cannot be removed or hidden. Instead, it must be dealt with, either in product development or in user interaction.
The model of hierarchical complexity (MHC) is a formal theory and a mathematical psychology framework for scoring how complex a behavior is. [4] Developed by Michael Lamport Commons and colleagues, [3] it quantifies the order of hierarchical complexity of a task based on mathematical principles of how the information is organized, [5] in terms of information science.