Past, present, and future of sustainable finance: insights from big data analytics through machine learning of scholarly research

S Kumar; D Sharma; S Rao; WM Lim; SK Mangla

doi:10.1007/s10479-021-04410-8

Past, present, and future of sustainable finance: insights from big data analytics through machine learning of scholarly research

S Kumar
, D Sharma
, S Rao
, WM Lim
, SK Mangla

Research output: Contribution to journal › Article › peer-review

Original language	English
Number of pages	0
Journal	Annals of Operations Research
Volume	0
Issue number	0
DOIs	https://doi.org/10.1007/s10479-021-04410-8
Publication status	E-pub ahead of print - 4 Jan 2022

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 4 Quality Education
SDG 9 Industry, Innovation, and Infrastructure
SDG 12 Responsible Consumption and Production
SDG 13 Climate Action
SDG 17 Partnerships for the Goals

Access to Document

10.1007/s10479-021-04410-8

Correction to: Past, present, and future of sustainable finance: insights from big data analytics through machine learning of scholarly research
Kumar, S., Sharma, D., Rao, S., Lim, W. & Mangla, S., Jan 2024, In: Annals of Operations Research. 332, 1-3, p. 1199-1205 7 p.
Research output: Contribution to journal › Comment/debate

Cite this

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title = "Past, present, and future of sustainable finance: insights from big data analytics through machine learning of scholarly research",

author = "S Kumar and D Sharma and S Rao and WM Lim and SK Mangla",

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AU - Kumar, S

AU - Sharma, D

AU - Rao, S

AU - Lim, WM

AU - Mangla, SK

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Past, present, and future of sustainable finance: insights from big data analytics through machine learning of scholarly research

UN SDGs

Access to Document

Research output

Correction to: Past, present, and future of sustainable finance: insights from big data analytics through machine learning of scholarly research

Cite this