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The first diagrams of this type appeared in the early 1990s, and the idea of using this type of diagram to help document Balanced Scorecard was discussed in a paper by Robert S. Kaplan and David P. Norton in 1996. [1] The strategy map idea featured in several books and articles during the late 1990s by Robert S. Kaplan and David P. Norton.
Thus, the balance sheet is both an informal measure of readiness for change and an aid for decision-making. [ 12 ] One research paper reported that combining the decisional balance sheet technique with the implementation intentions technique was "more effective in increasing exercise behaviour than a control or either strategy alone."
A decision tree is a decision support recursive partitioning structure that uses a tree-like model of decisions and their possible consequences, including chance event outcomes, resource costs, and utility. It is one way to display an algorithm that only contains conditional control statements.
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Subsequently, Kaplan and David P. Norton included anonymous details of this balanced scorecard design in a 1992 article. [5] Although Kaplan and Norton's article was not the only paper on the topic published in early 1992, [10] it was a popular success, and was quickly followed by a second in 1993. [11]
Decision tables are a concise visual representation for specifying which actions to perform depending on given conditions. Decision table is the term used for a Control table or State-transition table in the field of Business process modeling ; they are usually formatted as the transpose of the way they are formatted in Software engineering .
This template is used on approximately 9,600 pages and changes may be widely noticed. Test changes in the template's /sandbox or /testcases subpages, or in your own user subpage . Consider discussing changes on the talk page before implementing them.
Fast-and-frugal tree or matching heuristic [1] (in the study of decision-making) is a simple graphical structure that categorizes objects by asking one question at a time. These decision trees are used in a range of fields: psychology , artificial intelligence , and management science .