The hypothesis ＂happy productive worker＂ states that happy employees, whose needs are satisfied in their workplace, have greater performance than unhappy employees. Therefore, the purpose of this research is to exam...The hypothesis ＂happy productive worker＂ states that happy employees, whose needs are satisfied in their workplace, have greater performance than unhappy employees. Therefore, the purpose of this research is to examine empirically the effects that job satisfaction and well-being at work generate on the individual job performance, investigating the moderating role that the components of the organizational structure play in this relationship. To achieve the main objective, some secondary objectives were proposed： （1） test the predictive effect of well-being, satisfaction, personal, and professional variables on individual performance; and （2） test the moderating effect of the components of the organizational structure in the relationship among well-being, satisfaction, and individual job performance. This research originates of a consolidated statement for the business society, but very few empirical studies. This way, the hypothesis consisted in the components of the organizational structure will positively enhance the relationship among well-being at work, job satisfaction, and individual job performance. The final sample consisted of 134 participants, of a clinical laboratory and of federal court of justice. For the development of the questionnaire, four instruments were used; one for each construct. The proposal has four relationship variables and the statistical procedure used to test this hypothesis was multiple linear regressions. Considering the hypothetical theoretical model presented, personal and professional variables are predictors of job performance; thus, these variables were also included as independent variables. The results of the regression model showed that the variables ＂age＂, ＂well-being at work＂, ＂job satisfaction＂, and ＂components of organizational structure＂ are responsible for explaining 64% of the variance of the variable criteria and individual job performance The moderating role of the variable ＂components of organizational structure＂ was also observed, because its inclusion increased the explained variance of the dependent variable. After all the discussions developed, the two main contributions appear： （1） the predictive effect of well-being at work in relation to performance and （2） identifying the moderating effect of the components of the organizational structure.展开更多
Determining the optimal timing is the core of preventive maintenance. Highway agencies always face with the challenge of determining optimal timing for preventive maintenance, particularly in China where there are no ...Determining the optimal timing is the core of preventive maintenance. Highway agencies always face with the challenge of determining optimal timing for preventive maintenance, particularly in China where there are no condition indicators designed for determining adequate timing for applying preventive maintenance and little literature relating to the development of pavement performance. This work presented the indicators, including crack ratio （Rc）, rutting depth （DR）, international roughness index （IIR） and sideway force coefficient （CsF） to determine the adequate timing for preventive maintenance in China. The proper ranges of each indicator to apply to preventive maintenance were then recommended. They are 0.28%-1.4% for Rc, 10-15 mm for DR, 1.97-3.5 for lrR, 40--50 for CSF. Based on pavement condition survey data collected on the test roads in Hebei Province, China, on the application of slurry seal at different timings, the pavement performance was established and the adequate timings for applying slurry seal was studied. Based on benefit-cost analysis, it is suggested that the fourth year is the optimal timing for applying slurry seal based on the condition in China. A framework is established to determine the adequate timings of applying other preventive maintenance methods.展开更多
Wind electricity power has fluctuation, and accurate and reasonable wind electricity power prediction is very important for solving wind electricity network and combination. This paper takes an analysis of a lot of ac...Wind electricity power has fluctuation, and accurate and reasonable wind electricity power prediction is very important for solving wind electricity network and combination. This paper takes an analysis of a lot of actual data of a certain wind electricity field. Through wavelet neural network and time series method rolling, it can predict the overall power of wind electricity field. The result shows that for the original data of sampling time length and large sampling frequency, the model constructed by this paper has very good prediction effect. Because of the fan installation position, wind electricity fan flow effect and other random factor influence, wind electricity field overall power and single unit power distribution have difference. Through comparing with the time series parameters, it puts forward that single wind electricity unit power has smooth effect for overall power of wind electricity field. Finally, it summarizes the prediction effect and puts forward some reasonable suzestions for wind electricity network troblems.展开更多
文摘The hypothesis ＂happy productive worker＂ states that happy employees, whose needs are satisfied in their workplace, have greater performance than unhappy employees. Therefore, the purpose of this research is to examine empirically the effects that job satisfaction and well-being at work generate on the individual job performance, investigating the moderating role that the components of the organizational structure play in this relationship. To achieve the main objective, some secondary objectives were proposed： （1） test the predictive effect of well-being, satisfaction, personal, and professional variables on individual performance; and （2） test the moderating effect of the components of the organizational structure in the relationship among well-being, satisfaction, and individual job performance. This research originates of a consolidated statement for the business society, but very few empirical studies. This way, the hypothesis consisted in the components of the organizational structure will positively enhance the relationship among well-being at work, job satisfaction, and individual job performance. The final sample consisted of 134 participants, of a clinical laboratory and of federal court of justice. For the development of the questionnaire, four instruments were used; one for each construct. The proposal has four relationship variables and the statistical procedure used to test this hypothesis was multiple linear regressions. Considering the hypothetical theoretical model presented, personal and professional variables are predictors of job performance; thus, these variables were also included as independent variables. The results of the regression model showed that the variables ＂age＂, ＂well-being at work＂, ＂job satisfaction＂, and ＂components of organizational structure＂ are responsible for explaining 64% of the variance of the variable criteria and individual job performance The moderating role of the variable ＂components of organizational structure＂ was also observed, because its inclusion increased the explained variance of the dependent variable. After all the discussions developed, the two main contributions appear： （1） the predictive effect of well-being at work in relation to performance and （2） identifying the moderating effect of the components of the organizational structure.
基金Project(IRT1050) supported by Program for Changjiang Scholars and Innovative Research Team in University, ChinaProject (2009318000027) supported by Ministry of Transport of ChinaProject(CHD2011TD002) supported by the Special Fund for Basic Scientific Research of Central Colleges, Chang’an University, China
文摘Determining the optimal timing is the core of preventive maintenance. Highway agencies always face with the challenge of determining optimal timing for preventive maintenance, particularly in China where there are no condition indicators designed for determining adequate timing for applying preventive maintenance and little literature relating to the development of pavement performance. This work presented the indicators, including crack ratio （Rc）, rutting depth （DR）, international roughness index （IIR） and sideway force coefficient （CsF） to determine the adequate timing for preventive maintenance in China. The proper ranges of each indicator to apply to preventive maintenance were then recommended. They are 0.28%-1.4% for Rc, 10-15 mm for DR, 1.97-3.5 for lrR, 40--50 for CSF. Based on pavement condition survey data collected on the test roads in Hebei Province, China, on the application of slurry seal at different timings, the pavement performance was established and the adequate timings for applying slurry seal was studied. Based on benefit-cost analysis, it is suggested that the fourth year is the optimal timing for applying slurry seal based on the condition in China. A framework is established to determine the adequate timings of applying other preventive maintenance methods.
文摘Wind electricity power has fluctuation, and accurate and reasonable wind electricity power prediction is very important for solving wind electricity network and combination. This paper takes an analysis of a lot of actual data of a certain wind electricity field. Through wavelet neural network and time series method rolling, it can predict the overall power of wind electricity field. The result shows that for the original data of sampling time length and large sampling frequency, the model constructed by this paper has very good prediction effect. Because of the fan installation position, wind electricity fan flow effect and other random factor influence, wind electricity field overall power and single unit power distribution have difference. Through comparing with the time series parameters, it puts forward that single wind electricity unit power has smooth effect for overall power of wind electricity field. Finally, it summarizes the prediction effect and puts forward some reasonable suzestions for wind electricity network troblems.
