The Business Assistant Service as One of the Promising Areas for the Adoption of Ai Technologies in the Enterprise

Abstract

In modern conditions, entrepreneurs are faced with the acute problem of analysing of numerous information, quickly responding to a constantly changing economic situation, and making the most optimal decisions. In this regard, the development of a Business Assistant service (BAS) is a very relevant since it is a modern solution that can significantly simplify and improve the work of enterprises. The main goal of the research is on the basis of AI technologies to elaborate the Business Assistant service, that would speed up, optimize and simplify the decision-making process for the entrepreneur and can be used by many enterprises both when starting a business and when operating it. The main tasks for implementing the goal are: to analyze the scientific literature regarding the possibilities of using AI technologies in business, to identify the factors that mainly influence the entrepreneur’s choice regarding the sphere of activity, as well as the types of information most useful for doing business, to analyze and collect data for the model design, to develop a prototype of the BAS and test its functionality in practice. The research methods are: the theoretical – analysis and synthesis, abstraction method, the empirical – modelling (clustering, classification, logistic regression) and experimental method.The investigation results are: a prototype of the BAS was created, its effectiveness – ability of delivering useful recommendations and improving the business decision-making process for the entrepreneur has been proven experimentally using actual market data. The service can be effectively used by small and medium-sized enterprises in various industries and regions, provided that there is an access to the necessary data. The main risks associated with its implementation and possible ways of their reduction were considered.

Artificial Intelligence and Reduced SMEs’ Business Risks. A Dynamic Capabilities Analysis During the COVID-19 Pandemic

“…AI in cash flow could facilitate SMEs to deal with liquidity issues and better simulate operations (Ivashchenko et al, 2020;Xinyue et al, 2020;Yan & Ouyang, 2018;Yang et al, 2018). Moreover, AI applications to detect fraud and fake reviews could enable SMEs to better protect their operations and reputation (Hatfield, 2018;Jiang et al, 2016;Kumaravel & Bizu, 2019;Mrabet et al, 2018).…”

“…There remain concerns around the use of AI in business processes, including decision-making (Ivashchenko et al, 2020). Firms must ensure whether they are ready before bringing AI into their operations and counter the business shifts because of AI integration (Kumar et al, 2019).…”

“…Moreover, AI applications require monitoring to ensure compliance with anti-discrimination legislation and privacyrelated regulations, as well as data protection regulations (Campbell et al, 2020;Jablonska & Polkowski, 2017;Newell & Marabelli, 2015). Potentially, there exists a risk of firms losing control over the effective provision of functional and decision-making capabilities decision-making risks (Ivashchenko et al, 2020). AI systems require supervision to reduce mistakes, errors due to the lack of qualified staff, unreliable decision-making by AI systems, and destructive effect on the corporate culture (Campbell et al, 2020;Ivashchenko et al, 2020;OECD, 2019).…”

“…Potentially, there exists a risk of firms losing control over the effective provision of functional and decision-making capabilities decision-making risks (Ivashchenko et al, 2020). AI systems require supervision to reduce mistakes, errors due to the lack of qualified staff, unreliable decision-making by AI systems, and destructive effect on the corporate culture (Campbell et al, 2020;Ivashchenko et al, 2020;OECD, 2019). Finally, AI applications may make job positions redundant as work performed traditionally by employees, such as contact centres and financial services, might be substituted by computers (Jablonska & Polkowski, 2017;Korinek & Stiglitz, 2018), hence there is a need for new to examine the implications of AI risks and misuse in SMEs.…”

Artificial Intelligence and Reduced Smes' Business Risks. A Dynamic Capabilities Analysis During the Covid-19 Pandemic

“…Moreover, AI applications require monitoring to ensure compliance with anti-discrimination legislation and privacyrelated regulations, as well as data protection regulations (Campbell et al, 2020;Jablonska & Polkowski, 2017;Newell & Marabelli, 2015). Potentially, there exists a risk of firms losing control over the effective provision of functional and decision-making capabilities decision-making risks (Ivashchenko et al, 2020). AI systems require supervision to reduce mistakes, errors due to the lack of qualified staff, unreliable decision-making by AI systems, and destructive effect on the corporate culture (Campbell et al, 2020;Ivashchenko et al, 2020;OECD, 2019).…”