Qaisar ALI, Asma SALMAN, Hakimah YAACOB, Zaki ZAINI, Rose ABDULLAH / Journal of Asian Finance, Economics and Business Vol 7 No 7 (2020) 001 – 013 1 Print ISSN: 2288-4637 / Online ISSN 2288-4645 doi:10.13106/jafeb.2020.vol7.no7.001 1 First Author. Faculty of Islamic Economics and Finance, University Islam Sultan Sharif Ali, Brunei Darussalam. Email: aliqaisar21@gmail.com 2 Corresponding Author. Department of Accounting, Finance and Economics, College of Business Administration, American University in the Emirates (AUE) [Postal Address: Dubai International Academic City, Block 6 & 7, United Arab Emirates] Email: asma.salman@aue.ae 3 Faculty of Islamic Economics and Finance, university Islam Sultan Sharif Ali, Brunei Darussalam. Email: hakimahunissa@gmail.com 4 Faculty of Islamic Economics and Finance, university Islam Sultan Sharif Ali, Brunei Darussalam. Email: zaki.zaini@unissa.edu.bn 5 Faculty of Islamic Economics and Finance, university Islam Sultan Sharif Ali, Brunei Darussalam. Email: rose.abdullah@unissa.edu.bn © Copyright: The Author(s) This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://Creativecommons.org/licenses/by-nc/4.0/) which permits unrestricted noncommercial use, distribution, and reproduction in any medium, provided the original work is properly cited. Does Big Data Analytics Enhance Sustainability and Financial Performance? The Case of ASEAN Banks Qaisar ALI 1 , Asma SALMAN 2 , Hakimah YAACOB 3 , Zaki ZAINI 4 , Rose ABDULLAH 5 Received: April 07, 2020 Revised: May 10, 2020 Accepted: June 08, 2020 Abstract This study analyzes the key drivers (commitment, integration of big data, green supply chain management, and green human resource practices) of sustainable capabilities and the infuence to which these sustainable capabilities impact the banks’ environmental and fnancial performance. Additionally, this study analyzes the impact of green management practices on the integration of big data technology with operations. The theory of dynamic capability was deployed to propose and empirically test the conceptual model. Data was collected through a self-administrated survey questionnaire from 319 participants employed at 35 banks located in six ASEAN countries. The fndings indicate that big data analytics strategies have an impact on internal processes and banks’ sustainable and fnancial performance. This study indicates that banks committed towards proper data monitoring of its clients achieve operational efciency and sustainability goals. Moreover, our results confrm that banks practising green innovation strategies experience better environmental and economic performance as the employees of these banks have received advance green human resource training. Finally, our study found that internal and external green supply chain management practices have a positive impact on banks’ environmental and fnancial performance, which confrms that ASEAN banks contributing in reduction of environmental impact through its operations will ultimately experience increased fnancial performance. Key Words: Sustainability, ASEAN, Banks, Big Data Analytics, Financial Performance, Green Management JEL Classifcation Code: E58, G21, Q5 1. Introduction United Nations’ 2030 Agenda for sustainable development and the global commitment to leave no one behind requires collecting, processing, and disseminating an unprecedented amount of data, including disaggregated data, for effective policy design, monitoring, and evaluation of progress (United Nations Report, 2019). The advent of big data (BD) has brought solace for humans and societies in numerous ways; especially, modern-day uncertainties confronted by human beings can effectively be reduced using BD (Allam, 2020). BD is going to stay, however, its environmental and social (E&S) consequences and the sustainability of BD needs further investigation. Corbett (2018) contends that the revelation of BD revolution has created new opportunities by increasing the awareness of E&S impacts on supply chain and the concomitant potential to improve along these dimensions. BD potentially impacts the businesses that warrant an analysis of the implications vis-à-vis organizational response, prospects, and challenges of environmentally- sustainable business operations (Seles, de Sousa Jabbour, Jabbour, de Camargo Fiorini, Mohd- Yusoff, & Thome, 2018). The traditional methods to acquire, access and analyze BD have become obsolete as these methods do not fit with