Work-related Tardiness: Lateness Incident Distribution and
Long-range Correlations
M. Dishon-Berkovits and R. Berkovits
Fractal , 5(2), 321-324 (1997)
Abstract
The probability distribution of the length of time
which is lost to an organization due to an employee
being late arrival at work, as well as the correlation between
the time lost in different incidents and on different dates is
empirically studied. Computerized arrival records
of the employee being in the headquaters of a large
industrial firm were used. It is shown that the
probability f the time lost in a single late arrival follows
a power law with an exponent a ~ 1 for lateness incidents
longer than a few minutes but significantly shorter than
the duration of a shift. It is also shown that the
autocorrelations for time series composed of lateness
incidents of different employees on different dates show a
characteristic 1/f