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Learning Resource Centre Monthly Bulletin |
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Learning Resource Centre Monthly Bulletin |
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| New Books |
 Ebook: FN418 The Experience of Free Banking By Kevin Dowd |  Ebook: FN419 The Next Economy MBA : Redesigning Business for th By LIFT Economy, Erin Axelrod, Kevin Bayuk, Shawn Ber |  Ebook: FN420 Banking and Financial Systems : Catalysts of Socia By Laura. Guercio |
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| Articles |
| Corporate governance and liquidity creation in a duality banking system. By Wardhani, Nurhastuty;Faff, Robert;Liu, Lewis Journal of Financial Regulation & Compliance. 2025, Vol. 33 Issue 2, p214-243. 30p. Abstract :This study aims to investigate the factors influencing liquidity creation in banks, particularly focusing on the role of bank governance. Using a unique panel data set, it compares Islamic and conventional banks to discern governance`s impact on liquidity creation, offering insights for policymakers and bank managers. Design/methodology/approach: Quantitative analysis is used on a panel data set to assess liquidity creation determinants in banks. A governance index is constructed, analyzing metrics such as risk management, audit committee effectiveness and Shariah board presence. Regression models identify significant relationships between governance factors and liquidity creation. Findings: This study reveals a positive relationship between governance index and liquidity creation, especially in banks with better performance, higher credit risk, smaller size and lower equity, particularly in low-inflation environments. Specific governance practices significantly impact liquidity creation, alongside a positive relationship with Tier1 ratio, supporting the risk absorption hypothesis. Originality/value: This research offers empirical evidence on the relationship between bank governance and liquidity creation, highlighting its significance for both Islamic and conventional banks. It provides valuable insights for policymakers and bank managers aiming to enhance banking sector stability and efficiency. | |||
| Technological modernization of the national economy as an indicator of green finance: Data analysis on the example of Russia By Kabir, Liudmila S; Mingaleva, Zhanna A; Rakov, Ivan D. Green Finance; Springfield Vol. 7, Iss. 1, (2025): 146-174. DOI:10.3934/GF.2025006 Abstract :In Russia, there is no publicly available information to analyze green finance, but companies claim significant amounts of raised funds that are labeled as green. Green finance and technological modernization are interrelated processes. Therefore, the focus of the research is to find an answer to the question: has green finance had an impact on the technological modernization of Russian industry? The goal is to find indicators that confirm the real, not imaginary, nature of green finance. The research method is based on statistical analysis with presentation of consolidated data in graphical and tabular form. Assessment of the degree of penetration of the green economy is carried out through analyzing the ongoing changes in the structure of industry. | |||
| Behavioral Drivers of AI Adoption in Banking in a Semi-Mature Digital Economy: A TAM and UTAUT-2 Analysis of Stakeholder Perspectives By Papathomas, Aristides; Konteos, George; Avlogiaris, Giorgos.  Information; Basel Vol. 16, Iss. 2, (2025): 137. DOI:10.3390/info16020137 Abstract :The transformative potential of artificial intelligence (AI) in banking is widely acknowledged, yet its practical adoption often faces resistance from users. This study investigates the factors influencing AI adoption behavior among various stakeholders in the Greek semi-mature systemic banking ecosystem, addressing a critical gap in the relevant research. By utilizing the Technology Acceptance Model (TAM), Unified Theory of Acceptance and Use of Technology 2 (UTAUT-2), and Partial Least Squares Structural Equation Modelling (PLS-SEM) models, data from 297 respondents (bank employees, digital professionals, and the general public) were analyzed. The results highlight the strong relevance of constructs such as Performance Expectancy, Effort Expectancy, and Hedonic Motivation, whereas Social Influence was deemed non-significant, reflecting a pragmatic stance toward AI. Demographic factors like gender and age were found to have no significant moderating effect, challenging traditional stereotypes. However, occupation and education emerged as significant moderators, indicating varying attitudes among professions and educational levels. This study is the first to develop a theoretical framework for AI adoption by Greek banking institutions, offering Greek banking practitioners actionable insights. The findings also hold relevance for countries with similar digital maturity levels, aiding broader AI integration in banking. | |||
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| News |
| ICICI Bank dethrones HDFC Bank on every financial metric. A power shift underway in Indian banking? By The Economic Times; April 23, 2025 |
| Strong growth, stability make India investors’ natural choice: RBI governor By The Financial Express; April 27, 2025 |
| Indian banks largely unprepared for climate-related financial risks, warns report By The Economic Times; April 30, 2025 |
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