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Scenario analysis is a process of analyzing future events by considering alternative possible outcomes (sometimes called "alternative worlds"). Thus, scenario analysis, which is one of the main forms of projection, does not try to show one exact picture of the future. Instead, it presents several alternative future developments.
The situation analysis looks at both the macro-environmental factors that affect many firms within the environment and the micro-environmental factors that specifically affect the firm. The purpose of the situation analysis is to indicate to a company about the organizational and product position, as well as the overall survival of the business ...
In the context of military command and control applications, situational understanding refers to the "product of applying analysis and judgment to the unit's situation awareness to determine the relationships of the factors present and form logical conclusions concerning threats to the force or mission accomplishment, opportunities for mission ...
In strategic planning and strategic management, SWOT analysis (also known as the SWOT matrix, TOWS, WOTS, WOTS-UP, and situational analysis) [1] is a decision-making technique that identifies the strengths, weaknesses, opportunities, and threats of an organization or project.
Problem solving is the process of achieving a goal by overcoming obstacles, a frequent part of most activities. Problems in need of solutions range from simple personal tasks (e.g. how to turn on an appliance) to complex issues in business and technical fields.
The situational theory of problem solving attempts to explain why and how an individual communicates during a problematic situation. The situational theory of problem solving (STOPS) was proposed by Jeong-Nam Kim and James E. Grunig in 2011 though their article “problem solving and communicative action: A situational theory of problem solving.”
Systems analysis is "the process of studying a procedure or business to identify its goal and purposes and create systems and procedures that will efficiently achieve them". Another view sees systems analysis as a problem-solving technique that breaks a system down into its component pieces and analyses how well those parts work and interact to ...
In optimization, robustness features translate into constraints that are parameterized by the uncertain elements of the problem. In the scenario method, [1] [2] [3] a solution is obtained by only looking at a random sample of constraints (heuristic approach) called scenarios and a deeply-grounded theory tells the user how “robust” the ...