Review and prioritization the Risks affecting the use of organizational big data

Organizations produce massive volumes of variant and valuable data on a daily basis. Identifying the risks of using and processing organizational big data and finding solutions to manage and reduce these risks, paves the way for organizations to succeed and gain a competitive advantage. On the other hand, in organizations, due to the dynamics of the business environment, the factors affecting the reduction of risks affect each other, and a change in the status of one factor will directly or indirectly affect other factors. For this purpose, by reviewing the thematic literature and the opinions of experts, a framework consisting of four influential areas and 44 effective factors was formed. According to the qualitative nature of the influencing factors, fuzzy concepts have been used for modeling and analysis. Furthermore, to model the relationships between factors and determine the most effective and influential factor in organizations, the FUZZY DEMATEL technique has been used. In this article, the modelling is based on the opinion of experts and subsequently, the results of modeling and calculations have been evaluated with the opinion of experts. By using the achievements and modelling methods mentioned in this research and according to the needs of the organization, they can model and plan to minimize the risks of using their organizational big data as much as possible.