ارائه مدل به كارگيري مديريت دانش در فرآيند مديريت خطر با رويكرد پويايي هاي سيستمي

Introducing a Model of Implementing Knowledge Management in Risk Management Process for Electronic Banking With System Dynamics Approach

اﻣﺮوزه ﮐﺴﺐوﮐﺎرﻫﺎ ﺑﺎ اﻧﻮاع ﺟﺪﯾﺪي از رﯾﺴﮏﻫﺎ ﺑﻪ ﺳﺒﺐ ﺑﺮوز آﺷﻔﺘﮕﯽ و ﺗﻐﯿﯿﺮات ﻣﺪاوم ﻓﻀﺎي ﻓﻌﺎﻟﯿﺘﺸﺎن، ﻣﻮاﺟـﻪ ﻣﯽﺑﺎﺷﻨﺪ. ﻋﺪم ﻣﺪﯾﺮﯾﺖ ﻣﺆﺛﺮ اﯾﻦ رﯾﺴﮏﻫﺎ ﺑﻪ ﻣﺮور زﻣﺎن ﺗﺄﺛﯿﺮﻫﺎي ﻣﻨﻔﯽ ﺑﺮ روي ﻋﻤﻠﮑﺮد و ﻧﯿﺰ ﻣﻮﻓﻘﯿـﺖ آن ﻫـﺎ ﺧﻮاﻫـﺪ داﺷﺖ. در ﭼﻨﯿﻦ ﺷﺮاﯾﻄﯽ ﺳﺎزﻣﺎنﻫﺎ ﻧﺎﮔﺰﯾﺮ از ﺑﻪﮐﺎرﮔﯿﺮي اﺑﺰارﻫﺎ و روشﻫﺎي ﺟﺪﯾﺪ ﺑﺮاي ﺣﻞ ﺧﻄﺮﻫﺎي ﻣﺤﯿﻂ ﮐﺴـﺐ و ﮐﺎر ﺧﻮد ﻣﯽﺑﺎﺷﻨﺪ. ﯾﮑﯽ از روشﻫﺎي ﻣﺆﺛﺮ در اﯾﻦ زﻣﯿﻨﻪ ﺑﻪﮐﺎرﮔﯿﺮي ﻣﺪﯾﺮﯾﺖ داﻧﺶ در ﻓﺮآﯾﻨﺪﻫﺎي ﻣﺨﺘﻠﻒ ﮐﺴﺐوﮐﺎرﻫـﺎ ازﺟﻤﻠﻪ ﻣﺪﯾﺮﯾﺖ ﺧﻄﺮ ﻣﯽﺑﺎﺷﺪ. ﺑﺮ ﻫﻤﯿﻦ اﺳﺎس ﻣﻘﺎﻟﻪ ﭘﯿﺶ رو ﺑﻪ دﻧﺒﺎل ﺑﺮرﺳﯽ ﺑﻪﮐﺎرﮔﯿﺮي ﻓﺮآﯾﻨﺪﻫﺎي ﻣﺪﯾﺮﯾﺖ داﻧﺶ در ﻓﺮآﯾﻨﺪﻫﺎي ﻣﺪﯾﺮﯾﺖ ﺧﻄﺮ ﺑﺎ اﺳﺘﻔﺎده از ﺷﺒﯿﻪﺳﺎزي ﻣﺒﺘﻨﯽ ﺑﺮ روﯾﮑﺮد ﭘﻮﯾﺎﯾﯽﻫـﺎي ﺳﯿﺴـﺘﻤﯽ و اراﺋـﻪ ﯾـﮏ ﻣـﺪل ﮐـﺎرﺑﺮدي ﻧﺎﺷﯽ از ﯾﮑﭙﺎرﭼﻪﺳﺎزي داﻧﺶ و ﺧﻄﺮ ﺑﻪﻣﻨﻈﻮر ﻣﺪﯾﺮﯾﺖ ﺑﻬﺘـﺮ ﺧﻄـﺮات در ﮐﺴـﺐ وﮐﺎرﻫـﺎي اﻟﮑﺘﺮوﻧﯿﮑـﯽ ﻣـﯽ ﺑﺎﺷـﺪ. در راﺳﺘﺎي ﺗﺤﻘﻖ اﯾﻦ ﻫﺪف، ﺑﺎ ﻣﺮور ادﺑﯿﺎت و ﺑﺮرﺳﯽ اﺳﻨﺎد و ﻣﺪارك در اﺑﺘﺪا ﻣﺘﻐﯿﺮﻫﺎي ﮐﻠﯿﺪي ﻣﺪﯾﺮﯾﺖ داﻧـﺶ ﺑـﺮ ﻣﺒﻨـﺎي ﻣﺪل ﻧﻮﻧﺎﮐﺎ و ﺗﺎﮐﻮﭼﯽ و ﻣﺪﯾﺮﯾﺖ رﯾﺴﮏ ﺑﺮ ﻣﺒﻨﺎي ﻣﺪل ﻣﺪﯾﺮﯾﺖ رﯾﺴﮏ اﺳﺘﺮاﻟﯿﺎ / ﻧﯿﻮزﯾﻠﻨﺪ ﻣﺸـﺨﺺ و ﺑـﺮ اﯾـﻦ اﺳـﺎس ﻓﺮﺿﯿﻪﻫﺎي ﭘﻮﯾﺎ ﻣﺪل ﺗﺪوﯾﻦ ﮔﺮدﯾﺪ. در اداﻣﻪ ﻧﻤﻮدارﻫﺎي ﻋﻠﺖ و ﻣﻌﻠﻮﻟﯽ و ﺣﺎﻟﺖ ﺟﺮﯾﺎن ﺗﺮﺳﯿﻢ و ﻣﻌـﺎدﻻت ﻣﺮﺑـﻮط ﺑـﻪ رواﺑﻂ ﻣﺘﻐﯿﺮﻫﺎي ﻣﺪل اﺳﺘﺨﺮاج ﮔﺮدﯾﺪ. در ﭘﺎﯾﺎن ﭘﺲ از آزﻣﻮن و ﺷﺒﯿﻪﺳﺎزي ﻣﺪل ﭘﻮﯾﺎ ﺑـﺎ اﺳـﺘﻔﺎده از ﻧـﺮم اﻓـﺰار وﯾﻨﺴـﯿﻢ، ﺳﻨﺎرﯾﻮﻫﺎي ﻣﺨﺘﻠﻒ ﺑﺮاي ﮐﺎرﺑﺮدي ﻧﻤﻮدن ﻣﺪل ﭘﯿﺸﻨﻬﺎد ﮔﺮدﯾﺪ. ﻧﺘﺎﯾﺞ ﺳﻨﺎرﯾﻮﻫﺎي ﻣﻨﺘﺨﺐ، ﺑﻬﺒﻮد در ﻣﺘﻐﯿﺮﻫﺎي ﻣﺮﺑﻮط ﺑـﻪ ﻓﺮآﯾﻨﺪ ﻣﺪﯾﺮﯾﺖ ﺧﻄﺮات ﺑﺎ ﺑﻪﮐﺎرﮔﯿﺮي ﻣﺪﯾﺮﯾﺖ داﻧﺶ را ﻧﺸﺎن ﻣﯽدﻫﺪ

Today, business face with new risks due to imbalances and changes in the market. After a while, in competencies in effectively managing the risks will result in negative impressions on the business. In these cases, Organizations have to apply new methods to solve risks in working atmospheres. One of the most efficient solutions to this, is knowledge management including risk management in different business processes.
Accordingly, this research seeks to study on the possibilities of benefiting knowledge management along with electronic banking risk management having a system dynamics approache. This study also tries to present an applied model given birth through integrating knowledge and risk in order to reduce risks in electronic banking.
Moving toward this goal, after a review on literature and related documents, first the key variables in knowledge management were recognized and on their bases the model dynamics hypotheseis was presented. Subsequently, the cause and effect diagram and also stock and flow diagram were illustrated and equation of model variables were derived.
In the end, Following the process of testing and simulating dynamics model, also benefiting Vensim software, different scenarios were proposed to crat an applied version of the model. The results of selected scenarios showed an improvement in variables linked to the risk management process while benefiting knowledge management.