Artificial intelligence and machine learning research: towards digital transformation at a global scale

In the big data environment, the factors affecting the operation of small- and medium-sized enterprises are becoming more and more complex. In order to more accurately measure the financial crisis of small- and medium-sized enterprises, from the perspective of multisource information fusion, based on the traditional financial data reflecting the private information of enterprises, the public information data for measuring the macroeconomic and market environment are integrated and analyzed. Considering the multidimensional heterogeneity of multisource information data, BPNN, SVM, KNN, LOG, and MDA are introduced to build models, and ensemble learning is used to integrate the results of different early warning models to reduce the risk of inconsistent results from different models. The empirical results show that the early warning model integrating multisource information can improve the early warning accuracy. The research results show that the financial crisis early warning of small- and medium-sized enterprises should not only pay attention to financial indicators but also pay attention to the impact of corporate governance, industry, and the overall economic environment of the country; the accuracy of the model in this paper is significantly higher than that of the other models in terms of the accuracy of financial crisis early warning. It shows that the model in this paper can better predict the real financial status of small- and medium-sized enterprises.

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“…1. There are 44 types in total, including 31 types of private information indicators and 13 types of public information indicators [19].…”

Section: State Of the Artmentioning

confidence: 99%

The Application of the Data Mining Method Based on Ensemble Learning to the Research on Early Warning of Financial Crisis in Small- and Medium-Sized Enterprises

Guo

Wang

2022

Wireless Communications and Mobile Computing

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“…However, it is business where it is the most pronounced. Digital transformation is the integration of digital technologies into all aspects of the business activity of the socio-economic system (Sarirete et al, 2021). This is a process that requires fundamental changes in strategic and operational management, in the totality of business processes and the business model on the whole.…”

Section: Discussionmentioning

confidence: 99%

Evolution of the essence and prospects for digital economy development

Levchenko

Konvisarova

2022

Nexo Revista Científica

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The development of the digital economy in Russia lags behind the world leaders in this process. However, to become competitive in the digital space of the global economy, it is necessary to overcome this lag. This requires generalizing theoretical approaches and concepts of the digital economy in Russia and the world, tracking the evolution of views, approaches, and development prospects, analyzing the level of digitalization, digital competitiveness rating, indicators of the development of the digital economy's development and digital government. This was done in the article since the purpose of the study is to generalize theoretical approaches to the essence of the digital economy and the prospects for its growth from the point of view of evolution. Concerning findings of the study, the evolutionary stages of the development of the digital economy have been identified, SWOT analysis of the evolution of the digital economy in Russia has been carried out, a conceptual scheme for the digital transformation of business has been devised. The paper defines the essential elements of digital transformation and their relationship.

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“…Digital technologies include categories such as the Internet of Things (IoT), Big Data analytics, Artificial Intelligence, Advanced Tracking and tracing technologies, Wearables and Additive Manufacturing (Buyukozka and Gooçer 2018 ). They increasingly impact on the development of small and large organizations (Oukil 2011 ) and influence the behavior of managers and entrepreneurs (Andriole 2017 ; Saritete et al 2021 ).…”

Section: Theoretical Backgroundmentioning

confidence: 99%

Thrive during a crisis: the role of digital technologies in fostering antifragility in small and medium-sized enterprises

Corvello

Verteramo

Nocella

et al. 2022

J Ambient Intell Human Comput

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The crisis triggered by the COVID-19 emergency is changing the competitive landscape by pushing companies to adapt to sudden change. Small and medium-sized enterprises (SMEs) that want to survive must innovate their business. Antifragility represents the capability of a system to absorb shocks and get better, allowing it to overcome a crisis and improve its performance. The use of digital technologies by enterprises is expected to play an important role in building antifragility. The aim of this paper is to study how digital technologies can contribute to the development of antifragility in SMEs. This study analyzed the responses to the COVID-19 pandemic crisis of six small and medium-sized enterprises located in Calabria, South of Italy. All the six enterprises have turned the crisis into a business opportunity developing new products, investing in marketing and communication, or starting new collaborations. The research identifies the factors leveraged by the investigated organizations that enabled this anti fragile behavior. They include slack financial resources, strategic agility, and relations with research institutions. The study highlights the positive impact of digital technologies in developing antifragility. Results were summarized into research propositions to be tested in future confirmatory studies. The findings of the study are useful for researchers interested in antifragility and digital technologies in SMEs. The results are also important for entrepreneurs and managers of SMEs, since they can support their decisions in terms of survival and transformation of their companies.

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Artificial intelligence and machine learning research: towards digital transformation at a global scale

Cited by 25 publications

References 6 publications

The Application of the Data Mining Method Based on Ensemble Learning to the Research on Early Warning of Financial Crisis in Small- and Medium-Sized Enterprises

The Application of the Data Mining Method Based on Ensemble Learning to the Research on Early Warning of Financial Crisis in Small- and Medium-Sized Enterprises

Evolution of the essence and prospects for digital economy development

Thrive during a crisis: the role of digital technologies in fostering antifragility in small and medium-sized enterprises

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