چکیده:
The main purpose of This research ptovide asuitable model for financial risk management in the automotive industry using fuzzynetwork analysis process. In this study 13 variables from the identified variables were approvedby experts and specialists. The statistical population of the present study is the managers and specialists of irankhodro and saipa companies. The tools used in this study to collect data and in formation through a questionnaire and the opinions of experts and experts in the automotive industry have been used. The community of experts consists of 25 experts and the technique of fuzzy network analysis process has been used to analyze the data. Bby analyzing the data in the fuzzy network analysis process technique, it was found thet among the 13 identified variables affecting financial risk in the automotive in dusstry,liquidity risk is the criterion . which is the most effective among financial risks and is in the first place and has the highest priority. And bel0w the criterion of forecasting market demand and structural changes in the econpmy and the complex competition of domestic markets, respective ,have the highest priority.
خلاصه ماشینی:
Financial Risk Management in the Automotive Industry with a Fuzzy Analytic Network Process Approach Ali Fadaee 1 2 Date of receipt: 99/04/29 Date of acceptance: 99/08/12 Abutorab Alirezaee Gholamreza Hashemzadeh Khorasgani 3 4 Kiomars Fathi Hefshajani Abstract The main objective of this research is to provide a suitable model for financial risk management in the automotive industry using the Fuzzy Analytic Network Process (ANP Fuzzy).
(2014) examined the relationship between effective risk management techniques and the performance of companies active in the food industries.
The research results showed that using effective enterprise risk management techniques has a significant positive relationship with organizational performance.
Findings After following up, reviewing, and researching various articles, books, and the internet, it was concluded that financial risk management in the automotive industry consists of four criteria including (liquidity risk, market risk, investment risk, country (political) risk), each of which has specific sub-criteria, and this leads the industry to a structured model for innovation, decision-making, and planning in the automotive industry.
338 Fuzzy ANP Results After collecting the experts' opinions and ensuring their consistency, the geometric mean of the experts' opinions was calculated, and the weights of the criteria relative to the financial risk of the automotive industry and the weights of the sub-criteria relative to each criterion were obtained using the eigenvector.
Conclusion and Discussion The main objective of this research is to provide an appropriate model for managing financial risk in the automotive industry using the Fuzzy Analytic Network Process (ANPFuzzy).
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