International Journal of

ADVANCED AND APPLIED SCIENCES

EISSN: 2313-3724, Print ISSN: 2313-626X

Frequency: 12
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 Volume 12, Issue 1 (January 2025), Pages: 242-255

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 Original Research Paper

The relationship between big data analytics and financial performance in the Vietnamese banking sector

 Author(s): 

 Nhan Truong Thanh Dang 1, Van Dung Ha 2, *, Van Thu Nguyen 2

 Affiliation(s):

 1Faculty of Business Administration, Ho Chi Minh University of Banking, Ho Chi Minh City, Vietnam
 2Faculty of International Economics, Ho Chi Minh University of Banking, Ho Chi Minh City, Vietnam

 Full text

  Full Text - PDF

 * Corresponding Author. 

  Corresponding author's ORCID profile: https://orcid.org/0009-0006-5627-3261

 Digital Object Identifier (DOI)

 https://doi.org/10.21833/ijaas.2025.01.023

 Abstract

The rise of big data has brought both significant advantages and challenges, as nearly all research fields now face large, unpredictable volumes of data at varying speeds. The banking sector, in particular, has gained attention from researchers due to its reliance on data, driven by advancements in computer science. Although big data presents numerous opportunities and challenges across industries, research on this topic in banking remains limited and requires further exploration. To address this gap, this study investigates the relationship between big data analytics (BDA) factors and banks' financial performance, while offering managerial recommendations to improve the use of BDA in managing bank performance. A quantitative research method was applied, using convenience sampling to distribute survey questionnaires to 250 bank employees in Ho Chi Minh City, from junior staff to senior managers. The results indicate that BDA factors, including technological capability, talent capability, and bank capability, have a significant impact on banks' financial performance. This study contributes to raising research awareness on BDA methodologies and provides insights into the relationship between these factors and financial performance.

 © 2025 The Authors. Published by IASE.

 This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).

 Keywords

 Big data analytics, Financial performance, Banking sector, Technological capability, Quantitative research

 Article history

 Received 12 September 2024, Received in revised form 6 January 2025, Accepted 13 January 2025

 Acknowledgment

No Acknowledgment.

 Compliance with ethical standards

 Ethical considerations

This study adhered to ethical research guidelines, ensuring informed consent, participant anonymity, and voluntary participation. No personally identifiable information was collected, and ethical approval was not required under institutional regulations.

 Conflict of interest: The author(s) declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article.

 Citation:

 Dang NTT, Ha VD, and Nguyen VT (2025). The relationship between big data analytics and financial performance in the Vietnamese banking sector. International Journal of Advanced and Applied Sciences, 12(1): 242-255

 Permanent Link to this page

 Figures

 Fig. 1

 Tables

 Table 1 Table 2 Table 3 Table 4 Table 5 Table 6 Table 7 

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