11 Ergebnisse
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In: Naval research logistics: an international journal, Band 47, Heft 6, S. 500-510
ISSN: 1520-6750
In: Naval research logistics: an international journal, Band 41, Heft 6, S. 707-718
ISSN: 1520-6750
In: Technological forecasting and social change: an international journal, Band 203, S. 123385
ISSN: 0040-1625
In: IEEE transactions on engineering management: EM ; a publication of the IEEE Engineering Management Society, Band 71, S. 1804-1818
In: IEEE transactions on engineering management: EM ; a publication of the IEEE Engineering Management Society, Band 58, Heft 2, S. 189-198
In: Military Operations Research, Band 16, Heft 2, S. 31-40
In: Decision sciences, Band 24, Heft 2, S. 479-492
ISSN: 1540-5915
ABSTRACTLocal labor market supportability is becoming an increasingly important issue for the United States Army Reserves. As military bases close and Reserve units are consolidated at fewer Reserve centers, the appropriate reassignments of units to Reserve centers require accurate measures of the ability of local labor markets to support such consolidations. A two‐stage random effect model is applied to evaluate the geographical extent of the labor market for Army Reserve centers. In the first stage model, a lognormal distribution is used to describe the commuting distance behavior of the Reserve center members. In the second stage model, we estimate the mean of log transformed commute distance as a function of regional characteristics of the Reserve center. An iterative weighted stepwise selection method is used to find a set of characteristics that adequately predict variation of the mean commute distance over Reserve centers. The resulting model is used as inputs to location and market assessment models to assist the marketing decisions of the Army Recruiting Command.
Local labor market supportability is becoming an increasingly important issue for the United States Army Reserves. As military bases close and Reserve units are consolidated at fewer Reserve centers, the appropriate reassignments of units to Reserve centers require accurate measures of the ability of local labor markets to support such consolidations. A two‐stage random effect model is applied to evaluate the geographical extent of the labor market for Army Reserve centers. In the first stage model, a lognormal distribution is used to describe the commuting distance behavior of the Reserve center members. In the second stage model, we estimate the mean of log transformed commute distance as a function of regional characteristics of the Reserve center. An iterative weighted stepwise selection method is used to find a set of characteristics that adequately predict variation of the mean commute distance over Reserve centers. The resulting model is used as inputs to location and market assessment models to assist the marketing decisions of the Army Recruiting Command. ; United States Army Recruiting Command
BASE
In: IEEE transactions on engineering management: EM ; a publication of the IEEE Engineering Management Society, Band 71, S. 5318-5325
In: Journal of Small Business Management, Band 49, Heft 4, S. 599-616
SSRN
In: Research Policy, Band 38, Heft 10, S. 1534-1544