Towards data and analytics driven B2B-banking for green finance: A cross-selling use case study

Victor Chang, Nattareya Hahm, Qianwen Ariel Xu, P. Vijayakumar and Ling Liu

Technological Forecasting and Social Change, 2024, vol. 206, issue C

Abstract: This paper examines the role of technological innovation in banking and its potential effects on economic cycles. Specifically, it utilizes a case study of a German bank (Bank A) in the business-to-business (B2B) banking, including green finance, to demonstrate how leveraging advancements in data analytics and machine learning can enhance efficiency, risk management, and profitability. However, scaling these innovations poses risks if not managed carefully. The paper concludes with policy recommendations for utilizing technology responsibly while promoting sustainable economic growth.

Keywords: Green finance; B2B banking; Cross-selling for green finance; Machine learning (ML) for banking; Data analytics adoption (search for similar items in EconPapers)
Date: 2024
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Persistent link: https://EconPapers.repec.org/RePEc:eee:tefoso:v:206:y:2024:i:c:s004016252400338x

DOI: 10.1016/j.techfore.2024.123542

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