Risk Management of the Open Data Services Industry in Digital Transformation under Neutrosophic Sets

The open data services industry is very important for artificial intelligence and digital transformations. The open data services industry has different risks and challenges, so this study proposed a multi-criteria decision making (MCDM) approach for risk management in open data services industry. This study uses the average method to compute the criteria weights and the WASPAS method to rank the alternatives. The triangular neutrosophic set (TNS) is used in this study to overcome uncertainty and vague information. It has three membership functions such as truth, indeterminacy, and falsity. This study uses nine criteria and 18 risks to be evaluated. The results show the Cybersecurity Measures have the highest importance and Disaster Recovery has the lowest importance. In the ranking of the risks, the results show the Data Privacy Risk has the highest risks and Intellectual Property Conflict has the lowest risk. Sensitivity analysis shows the results are stable under various values. We compare the proposed approach by four different MCDM methods. The results show the proposed approach is effective compared to other MCDM methods.