Development of the potential of the digital economy of Russian regions through artificial intelligence humanisation

Ekimova, Ksenia V.

doi:10.1057/s41599-023-02444-w

Cited by 4 publications

(1 citation statement)

References 57 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The performed literature overview revealed that there is a large number of published works on the topic of the AI economy, which is a sign of a high level of elaboration of the problem posed and a strong fundamental basis for this research. Certain aspects of the application of AI technologies in the Russian economy were developed in the works of Ekimova (2023) and Samieva et al (2023). However, the existing literature does not disclose the specifics of the Russian model of the AI economy, which remains unclear.…”

Section: Literature Reviewmentioning

confidence: 99%

Untitled

2024

J. Tr., Chal. Art. Intell.

View full text Add to dashboard Cite

This paper is devoted to determining the trends of the AI economy in Russia. The method of trend analysis was used to find the dynamics of change in the values of the indicators of development of the AI economy in Russia. As a result, we revealed the specific features of its Russian model. The first feature is that in Russia, the key participant of the AI economy is the government, and the role of business, despite its being a secondary player, constantly grows. The second feature is that Russia successfully strengthens technological sovereignty in the sphere of the AI economy. The main conclusion is that in the Russian model, the advantages of the AI economy are connected with the growth of the share of knowledge-intensive employment and an increase in the quality of life, and its risks consist in a possible slowdown of the growth rate of labour productivity and reduction of the quality of products. The managerial significance of the paper is that the compiled econometric model generalised the leading experience of the top 30 AI economies in the world in 2023 and disclosed the cause-and-effect relationships of its development. The practical significance is that the authors' forecast outlined the perspective of the development of the AI economy in Russia in the Decade of Science and Technologies until 2031.

show abstract

Section: Literature Reviewmentioning

confidence: 99%

Untitled

2024

J. Tr., Chal. Art. Intell.

View full text Add to dashboard Cite

show abstract

AI-Driven Sustainable Business in CSR Reporting Regime

Gupta,

Jain,

Singh

2024

Advances in Marketing, Customer Relationship Management, and E-Services

View full text Add to dashboard Cite

This chapter explores the integration of AI-driven technologies in corporate social responsibility (CSR) reporting and its impact on sustainable business practices. As global emphasis on sustainability grows, AI technologies like machine learning and natural language processing are enhancing the efficiency, accuracy, and transparency of CSR reports. This systematic literature review synthesizes findings from 63 studies, highlighting how AI optimizes data management, predicts sustainability trends, and addresses ethical challenges in CSR. The study offers insights into the strategic and ethical implications of AI adoption in CSR reporting, emphasizing the potential of AI to transform sustainable business models.

show abstract

The Role of Digital Platforms in Transforming Corporate Governance

Salamzadeh,

Hadizadeh,

Feyzabadi

et al. 2024

Advances in Logistics, Operations, and Management Science

View full text Add to dashboard Cite

Contemporary corporate governance models traditionally focused on maximizing shareholder value and encounter significant challenges in encountering the complexities of sustainability. The digital age necessitates the development of innovative frameworks that integrate environmental, social, and governance (ESG) factors into core decision-making processes within corporations. This chapter investigates the transformative potential of digital platforms in promoting sustainable governance practices. Digital platforms possess a unique suite of features that can revolutionize traditional governance structures. These features include enhanced data transparency and accessibility, fostering rapid social responsiveness, optimizing supply chains through blockchain technologies, and leveraging data analytics to predict customer behavior patterns. By promoting transparency, accountability, and stakeholder engagement, digital platforms can contribute to a reduction in resource waste and an improvement in environmental efficiency.

show abstract

Development of the potential of the digital economy of Russian regions through artificial intelligence humanisation

Cited by 4 publications

References 57 publications

Untitled

Untitled

AI-Driven Sustainable Business in CSR Reporting Regime

The Role of Digital Platforms in Transforming Corporate Governance

Contact Info

Product

Resources

About