Innovation in banking: fusion of artificial intelligence and blockchain

Abstract

Purpose This study aims to analyze the importance of disruptive technological innovations on qualitative service delivery and their impact on the investment banks’ employee performance. Design/methodology/approach The cluster sampling method has been used to collect the primary data from the 250 respondents from foreign investment banks. Variables used are employee performance, service delivery, technology, security, operations, strategy and quality through chi-square, linear stepwise multiple regression analysis and correlation. Findings Storage network, operating cost, client reporting, cloud system and money laundering are the highest and most significant predictors of employee performance. Employee performance multiplies every unit with a strategic solution owing to positive and robust correlation (0.944). Fusion technology-based banks offer quality service to their clients. Originality/value A combination of artificial intelligence and blockchain ensures increasing automation to improve efficiency and reduce the operating cost creating a seamless integration in fraud detection, customer support, risk management, security, digitization and automation process, algorithmic trading, wealth management, etc.

A comparative analysis of efficiency in the Brazilian banking sector: A data envelopment analysis approach

“…Although analyses of bank efficiency have been conducted in previous studies, like Carminati et al [6] , Carminati et al [7] , Damenu and Beaumont [8] , Grmanová and Ivanová [2] , Cava et al [5] , Kumar et al [9] , Munir and Manarvi [10] , Saha et al [11] , Staub et al [1] , Boubaker and Ngo [12] , Endri et al [13] , Rahman et al [14] , Ravi [15] , Wu et al [16] , this study brings relevance to the research field by including a large number of new banks, including new digital banks (fintechs) that have gained strong prominence in the Brazilian banking scene in recent years.…”