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Big Data Analytics for Improving Financial Performance and Sustainability

Author

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  • Zhu Xiangyu

    (School of Economics and Management, Beijing University of Technology, Beijing100124, China)

  • Yang Yang

    (School of Economics and Management, Beijing University of Technology, Beijing100124, China)

Abstract

In this study, the key drivers of sustainability commitment, green supply chain management, big data integration and green human resource practice are explored, and the impact of these sustainable capabilities on the environmental and financial performance of banks is also elaborated. In addition, the influence of green management practices on integrating big data technology into operations is presented. As for the concept of dynamic ability, it has been used to recommend and empirically test conceptual models. Data were collected through a self-administrated survey questionnaire on 317 people working in 37 banks in six Asian countries. Research suggests that big data analytics strategies have an impact on internal processes and on the stability and financial performance of banks. Besides, it is indicated that banks are committed to proper data monitoring of their customers to complete operational efficiency and sustainability goals. Furthermore, our result proved that banks practicing Green Innovation strategies experience better environmental and economic performance because their employees are already trained in Green HR. Finally, from our study, it was found that internal and external green supply chain management practices have a positive effect on the environmental and financial performance of banks, thus ensuring that the bank of Association of Southeast Asian Nations (ASEAN) mitigates the environmental impact through its operations and ultimately experiences an increase in financial performance.

Suggested Citation

  • Zhu Xiangyu & Yang Yang, 2021. "Big Data Analytics for Improving Financial Performance and Sustainability," Journal of Systems Science and Information, De Gruyter, vol. 9(2), pages 175-191, April.
    • Handle: RePEc:bpj:jossai:v:9:y:2021:i:2:p:175-191:n:2
    DOI: 10.21078/JSSI-2021-175-17
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    References listed on IDEAS

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    2. Oduro, Stephen & De Nisco, Alessandro & Mainolfi, Giada, 2023. "Do digital technologies pay off? A meta-analytic review of the digital technologies/firm performance nexus," Technovation, Elsevier, vol. 128(C).
    3. Md Ahsan Uddin Murad & Dilek Cetindamar & Subrata Chakraborty, 2022. "Identifying the Key Big Data Analytics Capabilities in Bangladesh’s Healthcare Sector," Sustainability, MDPI, vol. 14(12), pages 1-21, June.
    4. Rosangela de Fátima Pereira Marquesone & Tereza Cristina Melo de Brito Carvalho, 2022. "Examining the Nexus between the Vs of Big Data and the Sustainable Challenges in the Textile Industry," Sustainability, MDPI, vol. 14(8), pages 1-17, April.
    5. Fernando Garrigós-Simón & Silvia Sanz-Blas & Yeamduan Narangajavana & Daniela Buzova, 2021. "The Nexus between Big Data and Sustainability: An Analysis of Current Trends and Developments," Sustainability, MDPI, vol. 13(12), pages 1-24, June.
    6. Rabie Mahssouni & Mohamed Makhroute & Mohamed Noureddine Touijer & Abdelaziz Elabjani, 2023. "Dual Perspectives on Financial Performance: Analyzing the Impact of Digital Transformation and COVID-19 on European Listed Companies," JRFM, MDPI, vol. 16(8), pages 1-14, August.
    7. Christian Di Prima & Anna Kotaskova & Hélène Yildiz & Alberto Ferraris, 2023. "How to survive social crises? An HR analytics data-driven approach to improve social sustainable operations effectiveness," Post-Print hal-04783998, HAL.

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