جستجوی مقالات مرتبط با کلیدواژه "مدل‎های پویا" در نشریات گروه "مدیریت"

The business model is an important factor in the competitive advantage of companies, and companies need to recreate their business model by changing the business environment due to changes in technology and communication. The current research aims to design a dynamic model based on text mining and soft methods to determine the most important key factors of electronic business models. This research is based on the text mining method and using the system dynamics modeling approach. In order to extract the key factors, the text mining of 779 articles of the last ten years from the world's authoritative databases has been examined. After examining the experts and selecting 17 key factors from among the extracted factors, in order to investigate the causal relationships between the key factors, the DEMATEL technique was used and the DEMATEL matrix was completed by the experts, and finally, the dynamic model of the research was drawn using Vensim software. The most influential causal factor is "Internet of Things" followed by "blockchain and cloud processing", and the most impressionable disabling factor is "provided value in the business". Also, the most influential factor on all factors was "nature of the media" and the most impressionable factor among the set of factors was "type of used technology ".

The ideal aim of this study is achieving to economic growth and enter to global markets by competitive comprehensive model. Main purpose of research is providing the Comprehensive model to assess the intensity of competition in Iran metal industries .230 top manages in field of metal industries in East Azerbaijan included in this research that is taken a sample with volume 144 cluster-randomly from this population by Cochran formula.Pearson correlation coefficient is used to test the hypotheses. Structural equations modelling method, SPSS and LISREL software are used to measure research structures.The results showed that intra-organizational factors variable has positive effect with total coefficient 0.8 on competitive variable directly and indirectly. Creation variable of the perceptual value influenced on compatibility rate as directly with 0.02 coefficient. Environmental factors variable has positive effect on compatibility rate (direct effect 0.17 and indirect effect 0.59 and totally 0.76).standard unit increases. Latent variables could indicate 57% variable changes of compatibility rate.

Proper design of management dashboards and according to the needs of users requires consideration of important and effective technical-engineering characteristics and the relationships between them. The aim of this study was to dynamically modelling of the strategic management dashboards and dynamic analysis of this model. For this purpose, out of 27 identified technical requirements for designing strategic management dashboards in the field of human resources management in NIOC, 17 items, based on the nature, importance and correlation between them in the house of quality model was selected as research variables and was used to build the problem model. The model was validated and different scenarios were examined and analyzed during several tests, including boundary adequacy test, structure evaluation, integration error, behavior reproduction, and sensitivity analysis. The research results indicate the confirmation of the model and the necessity of the existence of all variables and its reliability over time.

Environment and the need to protect and care for it, is one of the main concerns of industrial development in todaychr('39')s society; and air pollution is one of the most noticeable and tangible causes of it. The increasingly growth of the industry has led to the production and diffusion of gaseous pollutants into the air and among them; thermal power plants are one of the most important sources of emissions of air pollutants and greenhouse gases. This study uses a system dynamics approach and Vensim software to simulate components and processes affecting the conditions of pollutants released into the air through a combined cycle power plant based on measured actual data. In addition, analyzing different scenarios, has determined the type of process, optimum fuel and the maximum possible capacity upgrade of the combined cycle power plants considering the maximum allowable level of pollutant emissions in the atmosphere with using different efficiency enhancing techniques. Altogether, the operation modes of gas turbine (Premix , Diffusion), the type of fuel used in gas turbine (Natural gas , Gasoil), the use or non-use of fogging system in the air intake of gas turbine, as well as water or steam injection in the gas turbine burner have been identified and analyzed as the main factors and variables affecting pollutant emissions in the combined cycle power plant.

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.

The human resource managers have to make strategic and prospective decisions to respond to the unexpected changes in national tire industry. In this regard، system dynamics is one of the most practical tools for searching causal structures in systems، simulating their behaviors against unpredicted variations، and making some reactive policies for possible future conditions. We try to predict and sensitively analyze the required human resource capacity of national sedan tire industry over the horizon of Iran 1404 vision through developing a system dynamics model. The structures of sedan tire industry are designed based on Sterman’s methodology and the recent 10 years corresponding data on the effective variables is identified. Collected data described by mathematical equations is then considered as the model’s input in Vensim. Based on the designed model، the behavior and final results of variables are evaluated until the end of time horizon. Numerical results indicated that the number of human resources employed in sedan tire industry at the end of Iran 1404 vision will approximately be equal to 15000. By establishing a sensitivity analysis، the effect of the key variables، particularly the demand، on sedan tire industry is examined and suggestions for making macro-planning policies for production and human resource in different conditions are provided.

Data Envelopment Analysis (DEA) is a managerial powerful tool for assess the performance of Decision Making Units (DMUs). Nowadays, multi-objective DEA models are an attractive technique for evaluation quantity and quality aspects of performance analysis. But these models are in static. In this paper, we want to present a proposed fuzzy dynamic multi-objective DEA model in which data are changing sequentially. In this paper is presented to compare with those obtained using the proposed model as well as original DEA models. Results reveal that the new model just needs to solve multiple objective programming once to calculate the efficiency achievement for all DMUs and they are indication for improvement discriminating power of classical DEA models.