• Journal of Internet Computing and Services
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• v.8 no.2
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• pp.23-31
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• 2007

If the effort(manpower) and schedule are estimated, there is very difficult to allocate the manpower according to the schedule time units efficiently. Generally, the Putnam's Rayleigh Model has been applied popularly. This distribution model is expressing topology that manpower is consumed concentrically in first-half point. But actual manpower of projects are consumed concentrically at middle or second half point. Therefore, this model cannot be applied in software project planning area. This paper suggests a model to distribute manpower efficiently. Fist of all, we investigate a typical type presenting in software development field and manpower profile type of actuality development projects. Next, we suggested a method to present the model by a drawing a contour about manpower profile for the efficient manpower distribution. The proposed model shows better performance than Rayleigh and Gomma model. By applying proposed model, we will properly distribute manpower to schedule in software development planning phase, and finally we may manage project successfully.

• International journal of advanced smart convergence
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• v.8 no.4
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• pp.58-67
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• 2019

The purpose of this study was to examine the relationship between sleep disorders, job satisfaction, health promotion behavior, quality of life, turnover intention. And also to find the predicting factors on turnover intention of shift and non-shift nurses. A descriptive study design was used. Study subjects were 239 nurses worked as a shift (167) and non-shift (72) in two general hospitals in P city. Turnover Intent, Sleep disorders, Job satisfaction, practicing health promotion profile and quality of life scales were used to collect the data. Data were analyzed by descriptive statistics and Pearson's correlation coefficient for find the relationship between study variables. Stepwise multiple regressions used to find predicting factors of turnover intention with other variables. The shift group showed lower Job satisfaction, practice of health promotion behavior and intention of turnover than non-shift nurses. The most important predictive factors of turnover intention in of shift group was job satisfaction (β =-. 477, p <.001) and non-shift group was health promotion behavior (β =-. 295, p = .040) than other factors. Findings showed that turnover intention highly influenced by job satisfaction than health promoting behavior and quality of life. This study suggests organizational efforts to provide sufficient staffing and nurse managersshould make more concentration to allot work schedule in order to avoid over load shift nurses and promote quality of client care.