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Learning Resource Centre Monthly Bulletin |
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Learning Resource Centre Monthly Bulletin |
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| New Books |
 FN463 The Handbook of Banking Technology By Tim Walker and Lucian Morris |  FN464 AI and the Future of Banking By Tony Boobier |  FN465 Banking on Change : The Development and Future of By London Institute of Banking and Finance |
| Click Here to learn about the Recent Books added to our collection on different topics of Management. |
| Articles |
| Climate change mitigation through banking technology enhancement in industry By Megawati Suharsono Putri; Pratistha, Brian; Bintang Dwitya Cahyono; Kamil, Ahmad Syafiq; Negara, Syandi ; et al. IOP Conference Series. Earth and Environmental Science; Bristol Vol. 1462, Iss. 1, (Mar 2025): 012020. DOI:10.1088/1755-1315/1462/1/012020 Abstract :Banking activities such as reliance on paper, transportation, and other high-carbon footprint resources can cause environmental damage and contribute to climate change. The enhanced use of information technology and digitalization in the banking sector can serve as an alternative to mitigate ongoing environmental damage and change. It significantly reduces the use of paper and the need for transportation, ultimately enhancing operational efficiency and reducing environmental impact. The main problem in Indonesia is that the use of banking technology by industries is only 17.2%. Therefore, this paper aims to find issues in the use of banking technology in Indonesia and create strategies to increase the amount of banking technology utilization in Indonesia. The method used is the mixed method. The analysis found that low digital capability, an unsupportive environment, security issues, low financial literacy, a lack of socialization, and weak information technology infrastructure caused bottlenecks in the use of banking technology by industries. The strategies to overcome this problem are socialization, increasing financial literation, and improving Information and Communication Technology (ICT) infrastructure in determined areas. | |||
| Revolutionizing banking services with ChatGPT: an integrated framework for user adoption By Ali, Muhammad; Leong, Choi-Meng; Koh, Hii Puong; Raza, Syed Ali; Puah, Chin-Hong. Financial Innovation; Heidelberg Vol. 11, Iss. 1, (Dec 2025): 123. DOI:10.1186/s40854-025-00787-8 Abstract :This study aims to understand the implementation of artificial intelligence (AI)-enabled technology in banking from a user perspective. For this purpose, we examine customer intention to adopt ChatGPT (Generative Pretrained Transformer) in performing banking services. To assess the study objectives, this research integrates two well-established technology models, namely, the Task-Technology Fit (TTF) Model and the Technology Acceptance Model (TAM). This study employed a quantitative research approach and utilized a survey-based questionnaire to collect primary data from banking customers. We analyzed a total of 424 valid responses via the partial least squares structural equation modeling (PLS-SEM) approach for the results and estimations. The results of this study indicate that the TTF and TAM have a positive and significant effect on customers’ intention to adopt ChatGPT in banking services. Additionally, this research revealed that ChatGPT knowledge plays a significant role as a moderator in predicting user intentions toward ChatGPT adoption. Our findings provide unique insights into the contemporary concept of AI-enabled technology adoption in the banking sector. This study highlights various aspects of the theoretical and managerial implications for managers and academicians. Theoretically, this study provides an in-depth analysis by integrating the TTF with an extended TAM. Practically, the findings of this study enhance strategic planning and informed decisions in the banking sector regarding the use of ChatGPT. This study also assumes that this is the first attempt in the Pakistani banking sector to analyze customer intentions to adopt ChatGPT in their banking transactions. Finally, our study limitations provide a discussion forum for subsequent studies that adapt or imitate our methodology in other demographics or countries. This will encourage the development of AI technologies in financial companies. | |||
| Trust-mediated adoption of blockchain technology in the banking industry By Rahman, S. M. Masudur; Yii, Kwang-Jing; Masli, Eryadi Kordi; Voon, Mung Ling. Discover Sustainability; Hamburg Vol. 7, Iss. 1, (Dec 2026): 983. DOI:10.1007/s43621-026-03320-8 Abstract :This study investigates the determinants of blockchain technology adoption in the banking industry of Bangladesh, with particular emphasis on the mediating role of trust in blockchain technology. Drawing on the Technology-Organisation-Environment (TOE) framework and the Unified Theory of Acceptance and Use of Technology (UTAUT), the study develops an integrated model to examine how technological, organisational, environmental, and cost-related factors influence banks’ adoption intentions. Data is collected through an online survey of 414 banking professionals, and the proposed model is analysed using Partial Least Squares Structural Equation Modelling (PLS-SEM). The findings indicate that technological, organisational, and environmental factors, along with trust in blockchain technology, exert significant direct effects on adoption intentions, while cost considerations do not have a significant direct impact. Mediation analysis reveals that trust partially mediates the relationship between cost factors and adoption, exhibits weak mediation effects for organisational and environmental factors, and does not mediate the influence of technological factors. | |||
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| News |
| India must reinvent itself amid global uncertainty: Finance Ministry By Forbes India; 29th July 2026 |
| Finance Ministry flags AI, supply-chain risks, calls for faster policy implementation By The Economic Times; 30th July 2026 |
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