Big data and predictive analytics to optimise social and environmental performance of Islamic banks-Reference-Cited by-同舟云学术

Big data and predictive analytics to optimise social and environmental performance of Islamic banks

Published:2021-07-02 Issue:4 Volume:41 Page:616-632
ISSN:2194-5403
Container-title:Environment Systems and Decisions
language:en
Short-container-title:Environ Syst Decis

Author:

Ali Qaisar^ORCID,Yaacob Hakimah,Parveen Shazia,Zaini Zaki

Publisher

Springer Science and Business Media LLC

Subject

General Environmental Science

Link

https://link.springer.com/content/pdf/10.1007/s10669-021-09823-1.pdf

Reference107 articles.

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3. Ahmed TJ (2019) An integrated approach for building sustainable Islamic social finance ecosystems. ISRA Int J Islam Financ 11:246–266. https://doi.org/10.1108/IJIF-10-2018-0118

4. Ahmed Haji A, Anum Mohd Ghazali N (2013) The quality and determinants of voluntary disclosures in annual reports of Shari’ah compliant companies in Malaysia. Humanomics 29:24–42

5. Akter S, Wamba SF, Gunasekaran A et al (2016) How to improve firm performance using big data analytics capability and business strategy alignment? Int J Prod Econ 182:113–131. https://doi.org/10.1016/j.ijpe.2016.08.018

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