12 resultados para Turnover
em Iowa Publications Online (IPO) - State Library, State of Iowa (Iowa), United States
Resumo:
The 2008 general assembly acknowledged in House File (HF) 2539, Section 71 that employee turnover rates in nursing facilities should be documented but also recognized that this information was not currently being collected. The department was directed to modify the nursing facility cost report to capture information on the turnover rates of direct care and other employees of nursing facilities. The department was also required to submit a report on an annual basis to the governor and general assembly which provides an analysis of direct care worker and other nursing facility employee turnover by individual nursing facility, a comparison of the turnover rate in each individual nursing facility with the state wide average, and an analysis of any improvement or decline in meeting any accountability goals or other measures related to turnover rates. The annual report was to include any data available regarding turnover rate trends, and other information the department deemed appropriate.
Resumo:
In the decade of the 1990s, China’s feed sector became increasingly privatized, more feed mills opened, and the scale of operation expanded. Capacity utilization remained low and multi-ministerial supervision was still prevalent, but the feed mill sector showed a positive performance overall, posting a growth rate of 11 percent per year. Profit margin over sales was within allowable rates set by the government of China at 3 to 5 percent. Financial efficiency improved, with a 20 percent quicker turnover of working capital. Average technical efficiency was 0.805, as more efficient feed mills increasingly gained production shares. This study finds evidence that the increasing privatization explains the improved performance of the commercial feed mill sector. The drivers that shaped the feed mill sector in the 1990s have changed with China’s accession to the World Trade Organization. With the new policy regime in place, the study foresees that, assuming an adequate supply of soy meal and an excess capacity in the feed mill sector, it is likely that China will allow corn imports up to the tariff rate quota (TRQ) of 7.2 mmt since the in-quota rate is very low at 1 percent. However, when the TRQ is exceeded, the import duty jumps to a prohibitive out-quota rate of 65 percent. With an import duty for meat of only 10 to 12 percent, China would have a strong incentive to import meat products directly rather than bringing in expensive corn to produce meat domestically. This would be further reinforced if structural transformation in the swine sector would narrow the cost differential between domestic and imported pork.
Resumo:
This project was initiated by the Department of Personnel, now the Department of Administrative Services (DAS)– Human Resources Enterprise (HRE), to assist executive branch agencies in determining why employees leave their employ or state government as well as provide insight into past employee perceptions of their employer. As the workforce continues to age and at the same time the available workforce declines, employers must have data to manage their turnover effectively.
Resumo:
This project was initiated by the Department of Personnel, now the Department of Administrative Services (DAS)– Human Resources Enterprise (HRE), to assist executive branch agencies in determining why employees leave their employ or state government as well as provide insight into past employee perceptions of their employer. As the workforce continues to age and at the same time the available workforce declines, employers must have data to manage their turnover effectively.
Resumo:
This project was initiated by the Department of Personnel, now the Department of Administrative Services (DAS)– Human Resources Enterprise (HRE), to assist executive branch agencies in determining why employees leave their employ or state government as well as provide insight into past employee perceptions of their employer. As the workforce continues to age and at the same time the available workforce declines, employers must have data to manage their turnover effectively.
Resumo:
This project was initiated by the Department of Personnel, now the Department of Administrative Services (DAS)– Human Resources Enterprise (HRE), to assist executive branch agencies in determining why employees leave their employ or state government as well as provide insight into past employee perceptions of their employer. As the workforce continues to age and at the same time the available workforce declines, employers must have data to manage their turnover effectively.
Resumo:
This project was initiated by the Department of Personnel, now the Department of Administrative Services (DAS)– Human Resources Enterprise (HRE), to assist executive branch agencies in determining why employees leave their employ or state government as well as provide insight into past employee perceptions of their employer. As the workforce continues to age and at the same time the available workforce declines, employers must have data to manage their turnover effectively.
Resumo:
This project was initiated by the Department of Personnel, now the Department of Administrative Services (DAS)– Human Resources Enterprise (HRE), to assist executive branch agencies in determining why employees leave their employ or state government as well as provide insight into past employee perceptions of their employer. As the workforce continues to age and at the same time the available workforce declines, employers must have data to manage their turnover effectively.
Resumo:
This project was initiated by the Department of Personnel, now the Department of Administrative Services (DAS)– Human Resources Enterprise (HRE), to assist executive branch agencies in determining why employees leave their employ or state government as well as provide insight into past employee perceptions of their employer. As the workforce continues to age and at the same time the available workforce declines, employers must have data to manage their turnover effectively.
Resumo:
This project was initiated by the Department of Personnel, now the Department of Administrative Services (DAS)– Human Resources Enterprise (HRE), to assist executive branch agencies in determining why employees leave their employ or state government as well as provide insight into past employee perceptions of their employer. As the workforce continues to age and at the same time the available workforce declines, employers must have data to manage their turnover effectively.
Resumo:
This project was initiated by the Department of Personnel, now the Department of Administrative Services (DAS)– Human Resources Enterprise (HRE), to assist executive branch agencies in determining why employees leave their employ or state government as well as provide insight into past employee perceptions of their employer. As the workforce continues to age and at the same time the available workforce declines, employers must have data to manage their turnover effectively.