List of Articles banking industry

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  1 - Designing a Comprehensive Personal Productivity Assessment Model for the Personnel in Banking Industry
  Ali  Nemati Hojjat Taheri Goodarzi Parvaneh Gelard Yadollah   Abbaszadeh Sahroun
  The present research aims at designing a comprehensive personal productivity assessment model for the personnel in the banking industry, which has been conducted with a combined (qualitative-quantitative) method. Objective sampling method has been employed for the resea More

  The present research aims at designing a comprehensive personal productivity assessment model for the personnel in the banking industry, which has been conducted with a combined (qualitative-quantitative) method. Objective sampling method has been employed for the research where a number of university elite and experts as well as managers of the banking industry were elected as samples. Semi-organized interviews and closed-ended questions were used as the first and second stages of data collection. The method of analysis in the qualitative section was inductive thematic analysis and in the quantitative section was structural equations modeling, and the results of the research in the qualitative section is indicative of identifying 377 meaningful concepts or propositions resulting from 110 interview texts; however, taking into account the notion of concentration, the meaningful concepts and propositions were reduced to 137 primary themes. Further on, 15 subsidiary themes and 3 levels of main themes were identified. For the quantitative section, a structural pattern was presented for the correlation among the components which depicted that from among the 15 components constituting the personal productivity of the personnel in the banking industry, the highest ratio belongs to social intelligence with the value of 0.82 and the lowest ratio goes for professional competency wit the value of 0.49 Manuscript profile
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  2 - Designing a model based on blockchain technology to strengthen cyber security in the banking industry
  hossein amoozadkhalili neda haghi Reza Tavakkoli-Moghaddam
  10.61186/jstpi.33168.19.76.60
  Designing a model based on blockchain technology to strengthen cyber security in the banking industry is one of the new methods studied in the banking industry to strengthen cyber security. Accordingly, this study seeks to achieve the goal of evaluating a model based on More

  Designing a model based on blockchain technology to strengthen cyber security in the banking industry is one of the new methods studied in the banking industry to strengthen cyber security. Accordingly, this study seeks to achieve the goal of evaluating a model based on blockchain technology to strengthen cyber security in the banking industry based on artificial neural networks. This model is based on a conceptual model used in an MLP neural network simulation that simulates a blockchain-like process. Also, the neural networks created in the block chain have a strong connection and the possibility of breaking them is low. The data became closer to normal distribution after learning, indicating that blockchain technology will be able to provide cyber security. The level of correlation and efficiency presented was also reported and the findings of the study showed that the efficiency related to blockchain technologies after learning reached the level of 770.57 units, which shows that using the MLP method to learn the process of blockchain technology can be Lead to greater efficiency for cyber security. Also, the value of variance is equal to 27.77 and the mean value of computational values is equal to 0.35 and the value of correlation is equal to 0.99. Manuscript profile