Neural Networks and Rules-based Systems used to Find Rational and Scientific Correlations between being Here and Now with Afterlife Conditions
Neural Networks and Rules-based Systems used to Find Rational and
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The empirical literature is bounded to explaining the use of emerging regulatory innovation in designing meta-regulation under risk-based regulatory strategy as a new “regulatory mix”. Therefore, this paper aims to demonstrate how enterprise risk management (ERM), an emergent regulatory innovation, uses to design meta-regulation under the risk-based strategy. Based on qualitative content analysis of a central bank’s annual report in an emerging economy over eleven years, including the issued guidelines and circulars, this paper reveals the dimension of ERM as a meta-regulatory toolkit in the regulatory regime. The evidence reflects that the regulator’s sectoral risk management reform based on ERM philosophy enforces regulated banks to develop self-regulation across the industry that subsequently enrol into the regulatory process as a meta-regulatory approach. The regulator achieves the risk-based regulatory aims relying intensely on ERM based self-regulation of the regulated banks and supervise with enhanced institutional capacity and advanced tools and techniques.
Dr. Mohammad Moniruzzaman. 2026. \u201cEnterprise Risk Management in Designing Meta-Regulation under Risk-Based Regulatory Strategy: An Empirical Evidence from Financial Regulation\u201d. Global Journal of Management and Business Research - A: Administration & Management GJMBR-A Volume 23 (GJMBR Volume 23 Issue A2): .
Crossref Journal DOI 10.17406/GJMBR
Print ISSN 0975-5853
e-ISSN 2249-4588
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Total Score: 106
Country: Bangladesh
Subject: Global Journal of Management and Business Research - A: Administration & Management
Authors: Dr. Mohammad Moniruzzaman (PhD/Dr. count: 1)
View Count (all-time): 131
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Publish Date: 2026 01, Fri
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Neural Networks and Rules-based Systems used to Find Rational and
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The empirical literature is bounded to explaining the use of emerging regulatory innovation in designing meta-regulation under risk-based regulatory strategy as a new “regulatory mix”. Therefore, this paper aims to demonstrate how enterprise risk management (ERM), an emergent regulatory innovation, uses to design meta-regulation under the risk-based strategy. Based on qualitative content analysis of a central bank’s annual report in an emerging economy over eleven years, including the issued guidelines and circulars, this paper reveals the dimension of ERM as a meta-regulatory toolkit in the regulatory regime. The evidence reflects that the regulator’s sectoral risk management reform based on ERM philosophy enforces regulated banks to develop self-regulation across the industry that subsequently enrol into the regulatory process as a meta-regulatory approach. The regulator achieves the risk-based regulatory aims relying intensely on ERM based self-regulation of the regulated banks and supervise with enhanced institutional capacity and advanced tools and techniques.
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