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Recruitment metrics are a standard set of measurements used to manage and improve the process of hiring candidates into an organization. Candidates can be existing employees within an organization, people entering the workforce for the first time or employees interested in job opportunities outside their current organization.
Selection ratio refers to the ratio of the number of job positions to the number of job applicants and is used in the context of selection and recruitment. It is typically assumed to be a number between 0 and 1 where a number closer to zero implies that there are many applicants for any one position.
Highest response ratio next (HRRN) scheduling is a non-preemptive discipline. It was developed by Brinch Hansen as modification of shortest job next or shortest job first (SJN or SJF) to mitigate the problem of process starvation. In HRRN, the next job is not that with the shortest estimated run time, but that with the highest response ratio ...
GDP per hour worked 1970–2022 (2015=100) Country 1970 1980 1990 2000 2010 2015 2020 2022 Australia 51.4 60.3 66.0 80.9 92.2 100 103.1 103.3 Austria 83.0
Sustainability Index = Emergy Yield Ratio / Environmental Loading Ratio = EYR / ELR NOTE: The numerator is called "emergy" and is spelled with an "m". It is an abbreviation of the term, "embodied energy". The numerator is NOT "energy yield ratio", which is a different concept. [15]
The first census in South Africa in 1911 showed that whites made up 22% of the population. This declined to 16% in 1980, [31] 8.9% in 2011 and 7.65% in 2022. [32]: 21 Coloured South Africans replaced Whites as the largest minority group around 2010. Maps of ethnoracial groups of South Africa
The Congress of South African Trade Unions (COSATU), South Africa's largest trade union federation, has called for the abolition of labour brokering in South Africa. COSATU argues that labour brokers are responsible for the increasing casualisation of labour in South Africa. Currently about 30% of the South African workforce is casualised.
The Italian statistician Corrado Gini developed the Gini coefficient and published it in his 1912 paper Variabilità e mutabilità (English: variability and mutability). [16] [17] Building on the work of American economist Max Lorenz, Gini proposed using the difference between the hypothetical straight line depicting perfect equality and the actual line depicting people's incomes as a measure ...