Indicators of Artificial Intelligence of Financial Evaluation of Small Business Investment Attractiveness

Shokhnekh, Anna V.; Миронова, Ольга Алексеевна; Hanafeev, Farid F.; Kuzmenko, O.A.; Shilova, Lyubov F.

doi:10.1007/978-3-030-13397-9_107

Cited by 6 publications

(6 citation statements)

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“…The classification of data into subsets expressing three sentiments is a standardized mechanism in this type of sentiment analysis research (Ahmad et al, 2017;Duran et al, 2010). The results were then validated with the indicators of accuracy, recall, f1-score and support (Shokhnekh et al, 2019). Subsequently, the best results of the four experiments were selected to start the next phase of the methodological approach process (Onan et al, 2016).…”

Section: Textblob Sentiment Analysismentioning

confidence: 99%

“…To date, none of the previous studies has applied the aforementioned methodological approach to SMEs and technologies used through innovation in times of pandemic, which justifies the originality of the present study (Runco, 1993) and covers a gap in the literature in terms of applied method development to SMEs adoption of technologies using UGC in the COVID-19 pandemic. The theoretical framework of the present study includes Computer-Aided Text Analysis (CATA) (Short et al, 2010), Natural Language Processing (NLP) and UGC (Marine-Roig et al, 2015). In addition, this study poses the following research objectives: (i) To understand how SMEs have adapted their business models; (ii) To create knowledge about the technologies used by SMEs (Ibáñez et al, 2021) to adapt their strategies to the Covid-19 pandemic; (iii) To explore the opportunities carried out by SMEs and describe the technologies used and (iv) To identify the main business models of SMEs and present their characteristics adapted to the Covid-19 pandemic.…”

Section: Introductionmentioning

confidence: 99%

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Leveraging SMEs technologies adoption in the Covid-19 pandemic: a case study on Twitter-based user-generated content

2023

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The COVID-19 pandemic has caused many entrepreneurs and small and medium enterprises (SMEs) to adapt their business models and business strategies to the consequences caused by the pandemic. In order to identify the main innovations and technologies adopted by SMEs in the pandemic, in the present study, we used a database of 56,941 tweets related to the coronavirus to identify those that contained the hashtag #SMEs. The final sample was analyzed using several data-mining techniques such as sentiment analysis, topic modeling and textual analysis. The theoretical perspectives adopted in the present study were Computer-Aided Text Analysis, User-Generated Content and Natural Language Processing. The results of our analysis helped us to identify 15 topics (7 positive: Free support against Covid-19, Webinars tools, Time Optimizer and efficiency, Business solutions tools, Advisors tools, Software for process support and Back-up tools; 4 negative: Government support, Payment systems, Cybersecurity problems and Customers solutions in Cloud, and and 4 neutral: Social media and e-commerce, Specialized startups software, CRMs and Finance and Big data analysis tools). The results of the present study suggest that SMEs have used a variety of digital tools and strategies to adapt to the changing market conditions brought on by the pandemic, and have been proactive in adopting new technologies to continue to operate and reach customers in a connected era. Future research should be directed towards understanding the long-term effects of these technologies and strategies on entrepreneurial growth and value creation, as well as the sustainability of SMEs in the new era based on data-driven decisions.

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Section: Textblob Sentiment Analysismentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Leveraging SMEs technologies adoption in the Covid-19 pandemic: a case study on Twitter-based user-generated content

2023

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“…The metaheuristic algorithms are a significant branch of rising artificial intelligence used in many fields in both industry and society applications [2]. Many artificial intelligence applications involved metaheuristic algorithms, e.g., in health care [3], financial evaluation [4], resource scheduling and management industries [5], and wireless sensor networks [6]. Several classifications of the metaheuristic algorithms can be considered the physical phenomena, human learning habits, evolution law in nature, animals' living habits, and swarms [7].…”

Section: Introductionmentioning

confidence: 99%

An Improved Slime Mold Algorithm and its Application for Optimal Operation of Cascade Hydropower Stations

et al. 2020

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A recently modern stochastic optimization algorithm has been developed by observing the life of slime mold physarum polycephalum in nature. The algorithm is called the slime mold algorithm (SMA) with an excellent exploratory capacity and exploitation inclination. Still, slipping into optimal local is easy to happen and slowly converges speed while dealing with complicated problems. This paper proposes a new process of improving SMA (namely ISMA) by adapting the weight coefficient and cooperating the reverse learning strategy in the expression of agents updating locations to enhance the algorithm's optimization performance. Many selected benchmark functions and the optimal operation of cascade reservoirs are applied to evaluate the performance of the proposed algorithm. Comparisons of the proposed approach's results with the various algorithms under the case situations show that the recommended solution produces better performance than the different competing algorithms.INDEX TERMS Slime mold algorithm; Optimal dispatching of cascade hydropower; Reverse learning; Dynamic weight.

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“…For a younger generation the perception of innovation and investment activity due to sustainable development becomes relevant as «long-term continuous development that meets the needs of people living today without compromising the needs of future generations.» [16]. In this concept sustainability routes change in the way of environmental, social and economic development [10,11,16]. This approach to sustainable development in the world involves exploring the paradigm of personal growth, and, therefore, the formation of a new concept in the field of education.…”

Section: Introductionmentioning

confidence: 99%

Innovation and Investment Role in Interaction of Small Business in Criteria Analysis of University Complexes’ Efficiency

Telyatnikova¹,

Shokhnekh²,

Mushketova³

2020

Proceedings of the “New Silk Road: Business Cooperation and Prospective of Economic Development” (NSRBCPED 2019)

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A study of the innovation and investment role in interaction of small businesses confirms that human resources are not ready for performing business. Solving problems in the process of building competencies in professional and entrepreneurial activities requires a new approach to higher education at the university. The need to create a platform for university complexes involves increasing personal competencies of human resources. These are both entities that determine the needs of consumers and units that participate in the economic chain of meeting the needs of society in the form of small business. The article presents: criteria of the university complexes' efficiency; parameters of innovation and investment role in interaction of small business in a criteria analysis of the university complexes' efficiency; a matrix of expert assessments of the university complexes' efficiency according to the parameters of innovation and investment role in interaction of small business.

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Indicators of Artificial Intelligence of Financial Evaluation of Small Business Investment Attractiveness

Cited by 6 publications

References 0 publications

Leveraging SMEs technologies adoption in the Covid-19 pandemic: a case study on Twitter-based user-generated content

Leveraging SMEs technologies adoption in the Covid-19 pandemic: a case study on Twitter-based user-generated content

An Improved Slime Mold Algorithm and its Application for Optimal Operation of Cascade Hydropower Stations

Innovation and Investment Role in Interaction of Small Business in Criteria Analysis of University Complexes’ Efficiency

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