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Many recruitment metrics are used by organizations to gain valuable insights on potential candidates during the recruitment process: Identification of candidates, sometimes known as sourcing personnel. Attraction of candidates. Interviewing and assessment of candidates. Overall process improvement of the recruiting workflow and steps.
In business and project management, a responsibility assignment matrix [1] (RAM), also known as RACI matrix [2] (/ ˈ r eɪ s i /; responsible, accountable, consulted, and informed) [3] [4] or linear responsibility chart [5] (LRC), is a model that describes the participation by various roles in completing tasks or deliverables [4] for a project or business process.
Business cycle accounting is an accounting procedure used in macroeconomics to decompose business cycle fluctuations into contributing factors. The procedure was introduced by V. V. Chari, Patrick Kehoe, and Ellen McGrattan but is similar to techniques introduced earlier. The underlying premise of the procedure is that the economy has a long ...
Recruitment is the overall process of identifying, sourcing, screening, shortlisting, and interviewing candidates for jobs (either permanent or temporary) within an organization. Recruitment also is the process involved in choosing people for unpaid roles .
Business process mapping, also known as process charting, has become much more prevalent and understood in the business world in recent years. Process maps can be used in every section of life or business. The Major Steps of Process Improvement using Process Mapping Process identification - identify objectives, scope, players and work areas.
Parallel lines divide the chart into lanes, with one lane for each person, group or sub process. Lanes are labelled to show how the chart is organized. In the accompanying example, the vertical direction represents the sequence of events in the overall process, while the horizontal divisions depict what sub-process is performing that step.
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A decision tree is a flowchart-like structure in which each internal node represents a test on an attribute (e.g. whether a coin flip comes up heads or tails), each branch represents the outcome of the test, and each leaf node represents a class label (decision taken after computing all attributes).