Integration of AI and IoT into Corporate Social Responsibility Strategies for Financial Risk Management and Sustainable Development

Anna Viktorovna Shkalenko () and Anton V. Nazarenko
Additional contact information
Anna Viktorovna Shkalenko: Research Sector, Moscow Polytechnic University, 107023 Moscow, Russia
Anton V. Nazarenko: Faculty of Economics and Management, Moscow Polytechnic University, 107023 Moscow, Russia

Risks, 2024, vol. 12, issue 6, 1-21

Abstract: This research explores the integration of artificial intelligence (AI) and the Internet of Things (IoT) within corporate social responsibility (CSR) strategies, focusing on financial risk management and sustainable development. Employing a novel Coevolutionary multi-paradigm approach to technological development, this study examines how these technologies can be embedded into CSR practices to enhance sustainability and manage risks effectively. The findings reveal that successful integration depends significantly on the adaptability of institutional structures to support technological innovations. This study contributes to the literature by providing a comprehensive analysis of the intersection of AI, IoT, and CSR, highlighting the necessity for robust mechanisms and policies that ensure security, standardization, and sustainable use of emerging technologies. Through this investigation, this research offers a new perspective on leveraging advanced technologies to advance corporate sustainability and risk management objectives.

Keywords: AI in financial risk management; IoT and corporate responsibility; techno-economic institutions; sustainability in corporate strategies; digital transformation in finance (search for similar items in EconPapers)
JEL-codes: C G0 G1 G2 G3 K2 M2 M4 (search for similar items in EconPapers)
Date: 2024
References: View complete reference list from CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
https://www.mdpi.com/2227-9091/12/6/87/pdf (application/pdf)
https://www.mdpi.com/2227-9091/12/6/87/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jrisks:v:12:y:2024:i:6:p:87-:d:1400490

Access Statistics for this article

Risks is currently edited by Mr. Claude Zhang

More articles in Risks from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().