Orgtology studies workplace systems and dynamics with the aim to increase performance and ensure relevance. The word is a blend between "organisation" and the Greek word "-logy", meaning the science of organisation. An Orgtologist can help organisations to perform and stay relevant. It holds eight core theories that deal with orgtelligence; work; results; leadership; team dynamics; and intrapersonal wellbeing.
Orgamatics is an orgtology field of study. Through this, we use scientific method to create strategy and drive operational efficiency. In so, it is key to grasp organisational systems. This includes orgtelligence (systems intelligence & human intellect), work (processes & projects), and results (efficiency & effectiveness). The term blends the words, "organisation" and "mathematics". It denotes the mathematical construct of an organisation.
Organamics is an orgtology field of study. In this field, we study the effect that people dynamics have on organisations. People can be abstract, unpredictable, and innovative. In so, they create a dynamic that is hard to grasp. We call this the X-Factor. It creates intrapersonal relations, teamwork, and leadership. These dynamics can change the nature of an organisation. The term blends the words, "organisation" and "dynamics".
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Black Swan Risk | A black swan risk is an event or occurrence that is extremely difficult to predict. In other words, we do not know how likely it is to happen. To manage any risk, we must grasp both its probability and impact. With black swan risks we will only experience impact as and after it happens. These risks deviate from what we normally expect. Their nature is typically random and unpredictable. Examples of black swan risks are acts of terrorism, e.g., the September 11 incident; natural disasters, like a Tsunami; etc. Crisis management skills and contingency plans are key to manage black swan risks.
About Black Swan Theory...The black swan theory or theory of black swan events is a metaphor that describes an event that comes as a surprise, has a major effect, and is often inappropriately rationalized after the fact with the benefit of hindsight. The term is based on an ancient saying that presumed black swans did not exist – a saying that became reinterpreted to teach a different lesson after black swans were discovered in the wild. The theory was developed by Nassim Nicholas Taleb to explain: The disproportionate role of high-profile, hard-to-predict, and rare events that are beyond the realm of normal expectations in history, science, finance, and technology. The non-computability of the probability of the consequential rare events using scientific methods (owing to the very nature of small probabilities). The psychological biases that blind people, both individually and collectively, to uncertainty and to a rare event's massive role in historical affairs.Unlike the earlier and broader "black swan problem" in philosophy (i.e. the problem of induction), Taleb's "black swan theory" refers only to unexpected events of large magnitude and consequence and their dominant role in history. Such events, considered extreme outliers, collectively play vastly larger roles than regular occurrences. More technically, in the scientific monograph 'Silent Risk', Taleb mathematically defines the black swan problem as "stemming from the use of degenerate metaprobability".
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