Corporate social responsibility and sustainable development based on IoT and AI methodologies

The sustainability debate has risen in popularity lately, and a slew of new terminology has emerged as a result. In economics and business management, this has resulted in a wide-ranging and unfocused discussion on the issue after a thorough review of the available literature. CSR and sustainable development have been widened by the rise of the internet, according to this study (SD). Despite its recent deployment, there is still a lack of awareness of technology's role in executing CSR-SD strategies, particularly the Internet expansion. This study introduces a unique CSR-IoT strategy for insights into how enterprises use IoT technology to successfully implement their CSR policies and empirical tools currently used by businesses. Since severe global issues like climate change and poverty have re-ignited interest in international business's social and environmental implications (IB), there has been renewed attention in recent years. Multinational businesses (MNEs) have a unique status because of their global reach and operations. They face various obstacles, stakeholders, and institutional frameworks in both their home and host countries. There are several constraints to using CSR as a vehicle for sustainable development, and policymakers should look at these issues more. The experiment's results show it's at least 37 % more effective than traditional methods.

Authors

Institutions

Publication Details

Published
2025-04-24
DOI
https://doi.org/10.1109/iccies63851.2025.11032468
Primary Topic
Business and Economic Development
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Corporate social responsibility and sustainable development based on IoT and AI methodologies

Hamid R. Abdulsalam Alani, Safian Sharif, Mohammed N. Qasim, Mohammed Musadaq Jaafar et al.
Business and Economic Development
article

Corporate social responsibility and sustainable development based on IoT and AI methodologies

Hamid R. Abdulsalam Alani, Safian Sharif, Mohammed N. Qasim, Mohammed Musadaq Jaafar, Adnan Burhan Rajab
article en

Abstract

The sustainability debate has risen in popularity lately, and a slew of new terminology has emerged as a result. In economics and business management, this has resulted in a wide-ranging and unfocused discussion on the issue after a thorough review of the available literature. CSR and sustainable development have been widened by the rise of the internet, according to this study (SD). Despite its recent deployment, there is still a lack of awareness of technology's role in executing CSR-SD strategies, particularly the Internet expansion. This study introduces a unique CSR-IoT strategy for insights into how enterprises use IoT technology to successfully implement their CSR policies and empirical tools currently used by businesses. Since severe global issues like climate change and poverty have re-ignited interest in international business's social and environmental implications (IB), there has been renewed attention in recent years. Multinational businesses (MNEs) have a unique status because of their global reach and operations. They face various obstacles, stakeholders, and institutional frameworks in both their home and host countries. There are several constraints to using CSR as a vehicle for sustainable development, and policymakers should look at these issues more. The experiment's results show it's at least 37 % more effective than traditional methods.

University of Kirkuk (IQ), Al-Nisour University College (IQ)
Openalex Percentile: Top 80%
Business and Economic Development
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.