Advanced Materials Research Vols. 712-715

Abstract: With the fast development of virtual manufacturing (VM), virtual enterprise (VE) is believed the enterprise of the future. The leadership effectiveness is important in VEs. This research focused on the dark side of leadership in VEs by examining how VE supervisors destructive leadership influences the performance of subordinates. As predicted, the negative relationship between VE supervisors destructive leadership behavior and subordinates performance was stronger among subordinates whose perception of interactive justice was lower. The studys implications for theory and practice are discussed.

Abstract: Objective: Through the PDCA (Plan-Do-Check-Act, also called quality loop) cycle in the management of Critical Value Reporting, and then the discussion on the values of their application in the medical field. Methods: Data were divided into two groups (January to March in 2012 as before the implementation of PDCA-cycle and August to October as after the implementation of PDCA-cycle). Statistical analysis was applied for these two groups. Results: After the application of PDCA-cycle, the executing rate of critical values reporting increased from 38.2% to 96.4 % (P=0.000). The percentage of reporting time, repeat critical values reporting, reporters name and staff number, receivers name and staff number rised from 96.4%, 83.6%, 83.6%, 69.1% to 100.0%, 98.8%, 98.8%, 99.8%, respectively (P=0.000). Meanwhile, critical values reporting rate of Laboratory and Radiology also increased from 47.9%, 30.6% to 96.5%, 96.3% (P=0.000). Conclusion: This study suggested that the PDCA-cycle is an important tool for quality management, and it can effectively improve the executions of critical values reporting.

Abstract: To explore the impact of urbanization and economic growth on the development of circulation industry, this paper uses GMM method to estimate dynamic panel data model, based on panel data at provincial-level from 2001 to 2010 in China, after testing the endogeneity of urbanization and economic growth. The findings indicate that regional economic development, labor input and fixed investment has significant positive effect on output of circulation, while lagged output of circulation and level of urbanization has no significant effect on it.

Abstract: Aiming at the power plant energy consumption and gas balance influenced serious with the affluent gas fluctuate frequently of byproduct gas system in an iron and steel industry, which is very difficult to be modeled using the mechanism modeling, a forecast trend sequence of the gas supply HP-ENN model was established based on the characteristics of self-provided power plant energy utilization and the properties of HP filter, Elman neural network. The prediction results using practical production data show that using the proposed HP-Elman method that sample A 48, 60 points trend forecast average relative error are 0.37%, 0.47% and sample B 48, 60 points trend forecast average relative error are 0.82%, 1.03%,which can effectively for the trend forecast of self-provided power plant gas supply with a reliable prediction capacity.