Environmental CSR From the Standpoint of Stakeholder Theory: Rethinking in the Era of Artificial Intelligence

Yankovskaya, Veronika V.; Gerasimova, E. B.; Osipov, Vladimir S.; Lobova, Svetlana V.

doi:10.3389/fenvs.2022.953996

Cited by 9 publications

(5 citation statements)

References 36 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The research by Yankovskaya and her research group also highlights that CSR integrated with AI and IoT not only mitigates risks but also leverages these technologies to foster a culture of innovation and ethical responsibility within organizations. This integration ensures that financial risk management is not just about compliance or mitigating losses but is also about leveraging corporate social responsibility to drive long-term sustainability (Yankovskaya et al 2022).…”

Section: Literature Reviewmentioning

confidence: 99%

“…The need for clear conceptual frameworks to apply theoretical knowledge to empirical investigations is highlighted in our analysis of the integration of AI and IoT. The studies by Vagin and his research group and Yankovskaya and colleagues provide practical examples of how CSR can be an effective approach to managing financial risks, showing the practical applications of integrating emerging technologies within established economic frameworks (Vagin et al 2022;Yankovskaya et al 2022).…”

mentioning

confidence: 99%

See 1 more Smart Citation

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

Shkalenko,

Nazarenko

2024

Risks

View full text Add to dashboard Cite

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.

show abstract

Section: Literature Reviewmentioning

confidence: 99%

mentioning

confidence: 99%

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

Shkalenko,

Nazarenko

2024

Risks

View full text Add to dashboard Cite

show abstract

“…Which level and models of stakeholders' engagement are needed to prevent unethical outcomes? [14,87]. Most of such questions do not bare a direct link with corporate performance, and if they do, it is actually a trade-off in between speed in technology development and the adoption and careful ethical guardrail.…”

Section: The Moral Case For Responsible Aimentioning

confidence: 99%

Beyond the Business Case for Responsible Artificial Intelligence: Strategic CSR in Light of Digital Washing and the Moral Human Argument

Fioravante

2024

Sustainability

View full text Add to dashboard Cite

This paper, normative in nature and scope, addresses the perks and limits of the strategic CSR approach when confronted with current debates on the ethics of artificial intelligence, responsible artificial intelligence, and sustainable technology in business organizations. The paper summarizes the classic arguments underpinning the “business case” for the social responsibility of businesses and the main moral arguments for responsible and sustainable behavior in light of recent technological ethical challenges. Both streams are confronted with organizational ethical dilemmas arising in designing and deploying artificial intelligence, yielding tensions between social and economic goals. While recognizing the effectiveness of the business argument for responsible behavior in artificial intelligence, the paper addresses some of its main limits, particularly in light of the “digital washing” phenomenon. Exemplary cases of digital washing and corporate inconsistencies here discussed are taken from the literature on the topic and re-assessed in light of the proposed normative approach. Hence, the paper proposes to overcome some limits of the business case for CSR applied to AI, which mainly focuses on compliance and reputational risks and seeks returns in digital washing, by highlighting the normative arguments supporting a moral case for strategic CSR in AI. This work contributes to the literature on business ethics and strategic CSR at its intertwining with the ethics of AI by proposing a normative point of view on how to deploy the moral case in organizations when dealing with AI-related ethical dilemmas. It does so by critically reviewing the state-of-the-art studies on the debate, which, so far, contain different streams of research, and adding to such a body of literature what is here identified and labeled as the “human argument”.

show abstract

“…Si and Cao [2] investigated the impact of green credit policy on corporate ESR, and found that it effectively improved corporate ESR, especially corporate front-end governance and green office. Yankovskaya et al [22] believed that the development of AI is conducive to balancing the interests of stakeholders and maintaining market balance, thus promoting the ESR. However, from the perspective of tax policy, the issue of how the improvement of the environmental protection tax system in developing countries affects corporate ESR still needs to be further strengthened.…”

Section: Literature Reviewmentioning

confidence: 99%

Environmental Protection Fee-to-Tax and Corporate Environmental Social Responsibility: A Test Based on Corporate Life Cycle Theory

Jiang

Fan

2023

Sustainability

View full text Add to dashboard Cite

Corporate environmental social responsibility enhancement is an important way to promote green and low-carbon economic transformation and achieve high-quality development. As an important reform of China’s environmental taxation system, environmental protection fees and taxes play a unique role in environmental governance. However, faced with the increase in the intensity of environmental regulations after the implementation of the environmental protection fee-to-tax, will firms take the initiative to assume environmental social responsibility (ESR)? This paper uses the implementation of China’s Environmental Protection Tax Law in 2018 as a quasi-natural experiment to study the impact of environmental protection fee-to-tax policy on corporate ESR from a life-cycle perspective. We find that, overall, the environmental protection fee-to-tax reform policy significantly increases the likelihood of corporate ESR by 66%. By the life cycle stage, the effect of environmental protection fee-to-tax policy is mainly reflected in maturity and decline stage firms, and the impact on growth stage firms is not obvious. The design of the current environmental protection tax system and the differences in financial status, business strategies, and environmental management levels of firms in different life cycle stages are important factors in this phenomenon. Further sub-sample regressions show that the environmental protection fee-to-tax policy significantly increases the ESR among state-owned, key regulated and higher financing-constrained firms, especially those in the maturity and decline periods. The findings of this paper enrich corporate life cycle theory and provide a reference for decision making to further improve environmental tax policies to stimulate a firm’s green and low-carbon transformation.

show abstract

Environmental CSR From the Standpoint of Stakeholder Theory: Rethinking in the Era of Artificial Intelligence

Cited by 9 publications

References 36 publications

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

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

Beyond the Business Case for Responsible Artificial Intelligence: Strategic CSR in Light of Digital Washing and the Moral Human Argument

Environmental Protection Fee-to-Tax and Corporate Environmental Social Responsibility: A Test Based on Corporate Life Cycle Theory

Contact Info

Product

Resources

About