Correction to: 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/s10479-022-04535-4

Correction to: 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

Plymouth Business School

Research output: Contribution to journal › Comment/debate

Original language	English
Pages (from-to)	1199-1205
Number of pages	7
Journal	Annals of Operations Research
Volume	332
Issue number	1-3
Early online date	10 Feb 2022
DOIs	https://doi.org/10.1007/s10479-022-04535-4
Publication status	Published - Jan 2024

UN SDGs

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

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10.1007/s10479-022-04535-4

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@article{1b3657ce2134406697c99741c2f0a2ab,

title = "Correction to: 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",

year = "2024",

month = jan,

doi = "10.1007/s10479-022-04535-4",

language = "English",

volume = "332",

pages = "1199--1205",

journal = "Annals of Operations Research",

issn = "0254-5330",

publisher = "Springer Netherlands",

number = "1-3",

}

TY - JOUR

T1 - Correction to: Past, present, and future of sustainable finance: insights from big data analytics through machine learning of scholarly research

AU - Kumar, S

AU - Sharma, D

AU - Rao, S

AU - Lim, WM

AU - Mangla, SK

PY - 2024/1

Y1 - 2024/1

UR - https://www.scopus.com/pages/publications/85124348069

U2 - 10.1007/s10479-022-04535-4

DO - 10.1007/s10479-022-04535-4

M3 - Comment/debate

SN - 0254-5330

VL - 332

SP - 1199

EP - 1205

JO - Annals of Operations Research

JF - Annals of Operations Research

IS - 1-3

ER -

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

UN SDGs

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

Cite this