Study on the Early-warning Management for Pilot's Turnover Based on the Unfolding Model of Voluntary Turnover

2010 ◽  
Author(s):  
Xinyan Zhu ◽  
Yuanjian Qin
Keyword(s):  
Early Warning ◽  
Voluntary Turnover ◽  
Unfolding Model ◽  
Early Warning Management

Risk early warning management and intelligent real-time system of financial enterprises based on fuzzy theory

2020 ◽  
pp. 1-11
Author(s):  
Qiaoying Ding
Keyword(s):  
Real Time ◽  
Early Warning ◽  
Financial Risk ◽  
Evaluation Method ◽  
Comprehensive Evaluation ◽  
Fuzzy Theory ◽  
Fuzzy Comprehensive Evaluation ◽  
Real Time System ◽  
Enterprise Risk ◽  
Early Warning Management

The financial market is changing rapidly. Since joining the WTO, our country’s financial companies have faced pressure from dual competition at domestic and abroad. The complex internal and external environment has forced financial enterprise managers to improve risk prevention awareness, early warning and monitoring, so as to responding to emergencies and challenges in the financial market. However, traditional forecasting and analysis methods have problems such as large workload, low efficiency, and low accuracy. Therefore, this article applies intelligent computing to the forecast of financial markets, using related concepts of fuzzy theory and Internet intelligent technology, and proposes to establish a model system for financial enterprise risk early warning management and intelligent real-time monitoring based on fuzzy theory. This article first collected a large amount of data through the literature investigation method, and made a systematic and complete introduction to the related theoretical concepts of fuzzy theory and financial risk early-warning management, has laid a sufficient theoretical foundation for the subsequent exploration of the application of fuzzy theory in financial enterprise risk early warning management and intelligent real-time systems; Then a fuzzy comprehensive evaluation method that combines the analytic hierarchy process and fuzzy evaluation method is proposed, taking a listed company mainly engaged in automobile sales in our province as a case, the company’s financial risk management and modeling experiment of the intelligent real-time system; Finally quoted specific cases again, used the fuzzy comprehensive evaluation method to carry out risk warning and evaluation on the PPP projects of private enterprises in our province, and concluded that the project risk score is between 20-60, which is meet the severe-medium range in the risk level. Research shows that the use of fuzzy theory and modern network technology can make more accurate warnings and assessments of potential and apparent risks of financial enterprises, greatly improving the safety of financial enterprise management and reducing the losses caused by various risks.

scholarly journals Simulation Model of Sports Entrepreneurship Performance Based on Wireless Sensor Network

2021 ◽  
Vol 2021 ◽  
pp. 1-16
Author(s):  
Chao Ma ◽  
Weiqi Chen ◽  
Yuge Tian
Keyword(s):  
Wireless Sensor Network ◽  
Simulation Model ◽  
Sensor Network ◽  
Early Warning ◽  
Management System ◽  
Wireless Sensor ◽  
Entrepreneurial Performance ◽  
Early Warning Management ◽  
Net Assets ◽  
People Today

Entrepreneurship has become the choice of many young people today, and many sports entrepreneurs have joined it. However, the entrepreneurial performance of sports entrepreneurs cannot be effectively guaranteed. Therefore, the design of the simulation model of the early warning management system of entrepreneurial performance is extremely urgent. It is based on the wireless sensor network that provides an important guarantee for the model design. Therefore, it is necessary to study the simulation model of sports entrepreneurship performance early warning management system based on wireless sensor network. The purpose of this paper is to start with the research on the simulation model of sports entrepreneurship performance early warning management system based on wireless sensor networks, select entrepreneurs from a sports university in our city as the analysis object, establish a wireless sensor sports entrepreneurship performance early warning management system simulation model, and then conduct multidimensional comparison. The research results show that the entrepreneurial performance of entrepreneurial projects continues to rise quarter by quarter. By the fourth quarter, product growth rates, labor productivity, and return on net assets had all increased by about 20%, while the turnover rate remained within the range of 20%-25%. It can be seen that the research on the simulation model of sports entrepreneurship performance early warning management system based on wireless sensor network can effectively improve the competitiveness of entrepreneurial projects.

Testing and extending the unfolding model of voluntary turnover to it professionals

2007 ◽  
Vol 46 (3) ◽  
pp. 331-347 ◽  
Author(s):  
Fred Niederman ◽  
Mary Sumner ◽  
Carl P. Maertz JR.
Keyword(s):  
Voluntary Turnover ◽  
It Professionals ◽  
Unfolding Model

scholarly journals Mapping the Decision to Quit: A Refinement and Test of the Unfolding Model of Voluntary Turnover

2008 ◽  
Vol 57 (1) ◽  
pp. 128-150 ◽  
Author(s):  
Kevin Morrell ◽  
John Loan-Clarke ◽  
John Arnold ◽  
Adrian Wilkinson
Keyword(s):  
Voluntary Turnover ◽  
Unfolding Model

Design of Disaster Early Warning Management System of Digital Greenhouse

2013 ◽  
Vol 756-759 ◽  
pp. 4562-4566
Author(s):  
Mei Xia Zhang ◽  
Jun Sun ◽  
Zheng Ming Li ◽  
Min Min Huang ◽  
Wen Xia Lv ◽  
...  
Keyword(s):  
Emergency Response ◽  
Early Warning ◽  
Management System ◽  
Health And Safety ◽  
Information Collection ◽  
Successful Result ◽  
Running System ◽  
Early Warning Management ◽  
Rapid Processing ◽  
Monitoring Information

For the purpose of providing crops a health and safety growth, it is necessary that the early warning management system is well established. In this paper, the date management module of historical climate and disaster is designed, the monitoring information management module of current weather and disaster is designed, and the early warning management module of pest and disease is completed. The successful result of running system shows that the system can strengthen early warning of disasters and improve the level of information collection and rapid processing of disaster, and improve capability of emergency response to cope with disasters.

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