جستجوی مقالات مرتبط با کلیدواژه "پویایی شناسی سیستمها" در نشریات گروه "مدیریت"

In order to grow, profitability and reduce the risk of innovative activities in power plants, its innovation and management has a special place. Innovation management can help in investing and choosing the right methods to acquire technology, which plays a significant role in developing and building the country's economic infrastructure. Innovation management process is influenced by several factors. To better manage the innovation process, it is necessary to understand the effective factors and the way each one works. The purpose of this research is to identify the factors affecting innovation management in the power industry in order to design an innovation management model. The statistical population of this research is the experts and managers of the MAPNA group with a bachelor's degree and above, with a seniority of over three years. In this research, a descriptive survey type has been used. Data were collected using two methods of library studies including studying books, dissertations, articles and sites and field method, such as data collection through questionnaires and interviews. To provide the model, the system dynamics and Vensim software have been used. According to the results of this study, 26 indicators were identified as final indicators in 5 factors including: organizational systems and infrastructure, search, selection, implementation and acquisition of value as factors influencing innovation management in power plant manufacturing industries and the innovation management model was designed based on the dynamics of the system.

This paper presents a dynamic model to determine the effective factors which are responsible for making changes to the number of insured persons in health insurance companies and to study different policies for improving the system behavior toward its desired goals. For this purpose, all components of an insurance company including investment units, payment of medical expenses units, units which are related to the advertisement policies of the company and all other components that together will result in a complete collection of the company have been studied. According to the feedback relationships between these variables and the complexity of the issues, we use system dynamics approach for modeling and analyzing the effect of different policies. Given the goal of achieving the detailed results, Iranian Social Security Insurance is used as a case study. By taking into consideration this organization data from 2001 to 2011 in the proposed model, the results show that some parameters such as changes in investment policies and advertisement are effective factors, as far as the attraction of insurance company for people is concerned.

Life insurances in Iran, despite following a growing trend, still constitute an insignificant part of insurance industry compared to that of the global average, or the industry vision's targeted countries. The purpose of this article is to find the roots of this problem and to determine the related dynamic mechanisms. Previous studies and interviews with experts are used as the framework to establish and simulate a system dynamics model for the problem. Analysis of the simulation results show that not only is it possible to maintain the current growing trend in the industry for the next 10 years, but also the most important factors which will have effects on the future of life insurance industry are: scale of sales network and agents, measures which affect their sales productivity, and careful management of financial resources to fulfill the generated commitments, to name but a few. According to the analyses, the future of life insurance is in the hands of its policy and decision makers rather than being controlled by exogenous variables.