intuitive fuzzy cognitive map

Currently, the world is living in the era of the fourth industrial revolution. Although this era provides many opportunities for companies and organizations due to technological advances, it also presents many challenges. One of these challenges is the need for a set of new competencies that occur due to the transformation of the nature of jobs through digitalization in Industry 4.0. Hence, the purpose of the current research is to identify the skills needed in Industry 4.0 and provide a cognitive analysis of it. This research is classified as applied research and employs an exploratory mix method approach regarding data collection. The statistical population for this research includes experts in the steel industry (middle to upper managers). A sample of 10 experts from this sector were selected to complete the questionnaire, using a purposeful sampling method. Then, using the opinions of 10 experts of the steel industry in Yazd province, the collected data have been analyzed through the methods of intuitive fuzzy TOPSIS and intuitive fuzzy cognitive map. The competencies of Industry 4.0 in the steel industry were prioritized through intuitive fuzzy TOPSIS and the relationships between measures to improve competencies were explained using the intuitive fuzzy cognitive mapping method. The obtained findings indicate that the index of willingness of managers and owners of companies to move towards intelligentization and the creation of smart factories is more central than other measures, and as a result, more attention should be paid to it. Also, in the prioritization of competencies, it was found that customer-oriented competency has the highest priority.

Blockchain technology in the banking industry is effective in speeding up the transactions, increasing security, dealing with bank embezzlement and storing customer information, and reducing the time and costs of banking operations.

The purpose of this research is to map the impact of blockchain technology functions on the Iran's banking system.

First of all, the functions of the banking system and blockchain technology are identified using the systematic literature review. In the next step, the functions are screened with Fuzzy Delphi Method (FDM). The statistical sample of the research included 12 senior managers of four banks: Melli, Pasargad, Maskan, and Saderat.

Using systematic literature review method, the functions of the banking system and blockchain technology are identified, and the results are localized with FDM, which finally 13 functions for the blockchain and 5 functions (establishment of the monetary and credit system, value creation, public cooperation, facilitation exchanges and balance of parallel markets) for the banking system are identified. Based on the results of the Intuitive Fuzzy Cognitive Map (IFCM), blockchain leads to the development of an integrated infrastructure between the management systems of banks, customer information management and information exchange.

According to the results, the functions of blockchain technology lead the bank stakeholders to implement this technology faster. The results indicate that senior managers of banking system should pay more attention to the important functions of blockchain and solutions.