Big Data Applications the Banking Sector: A Bibliometric Analysis Approach

Abstract

This study aims to review the existing literature on big data applications in banking using a bibliometric analysis approach. This approach describes citation rates, research outputs, and their implementations, along with current streams in the field and future research agenda. The articles were selected from 2012 to 2020 and sorted by the citation rate in results and analysis. We have discovered 60 papers related to big data in banking, although the applications of big data in the banking sector are growing rapidly, the number of research output in this field is limited. Several themes are extracted from the studies that are reviewed, analyzed, and presented in this report. This review covered the themes that include investment, profit, competition, credit risk analysis, banking crime, and fintech. This report also signifies the importance, use of big data, and its function in the banking and financial sector. This study has also discussed the future research scope in the banking industry’s big data analytics.

Corporate Digital Competencies for Digital Banking Innovation: Case Studies in Indonesian Banking Sector

“…Except for design thinking that can be thought have been covered in the other competencies such as problem solving and human centered design, the remaining human-related competencies come out from this study are consistent with the previous study from Ferrari's DIGCOMP framework (2013) as outlined earlier.On process competencies, informants emphasize the need for learning & learning organization in the sense that organization has to encourage and facilitate learnings to support digital innovation culture, this is aligned with Senge's LO concept and that LO practices can only be effective with the support from digital technologies such as e-learning and learning needs analytics tool, this confirms LO 4.0 theory fromDaly & Overton (2015).Agile as an iterative and continuous processes from planning, development, implementation, and evaluation as mentioned inCamarinha-Matos et al'(2019) study is also consistently mentioned by the informants. The last competency mentioned in this category is Business Process Management (BPM) that is essential to support the iteration of digital innovation process.While on the technological aspect, some emerging technologies are suggested, namely artificial intelligence & automation to improve internal process and efficiency, big data analytics that is vital to improve competitiveness and customer experience which is also aligned with previous study fromNobanee et al (2021), cyber security to secure the bank and customer's assets and information, open API, cloud computing, and micro-services to break down a large and complex component into smaller autonomous components to accelerate product time to market as also suggested by Oracle (2021).…”

“…A previous study from Nobanee et al (2021) reveal that Big Data Analytics has positive contributions to the competitiveness of the banking business model, improving customer experience, managing internal and external fraudulence risk, and maximizing profit.…”

Role of fintech in credit risk management: an analysis of Islamic banks in Indonesia, Malaysia, UAE and Pakistan

“…Fintech has provided solutions to the problem of information asymmetry by providing unstructured data, for instance, pictures, audios and videos (Hakmaoui and Yerrou, 2021; Iqbal et al , 2022; Narmeen et al , 2018; Nobanee et al , 2021; Zhang et al , 2022). Historically Islamic banks are able to identify repayment ability of the borrowers by analyzing their collaterals and the financial statements (Greuning and Iqbal, 2008; Saunders and Cornett, 2008; El Tiby, 2011).…”

Moderating role of resistance to change in the actual adoption of HR analytics in the Indian banking and financial services industry

“…Although HR analytics is still a novel concept (McCartney and Fu, 2022) and research in the field of HR analytics is gradually gaining momentum, it seems that very few management researchers have paid less attention to studying HR analytics (Marler and Boudreau, 2017; Fernandez and Gallardo-Gallardo, 2020) especially in the Indian context (Willis Towers Watson, 2018). Additionally, the use of analytics in Indian banking sector is increasing at a very fast pace, but there is no sufficient research carried out on this topic (Nobanee et al. , 2021).…”