Currently, entrepreneurial and professional activities are being transformed towards digital business, management, economics and technology, which are viewed through the prism of four new technological areas: artificial intelligence, blockchain, cloud technologies and data analytics. Therefore, we will use multidisciplinary approaches that show how digital tools affect all areas of business processes, management and economics. Purpose of the study: to determine the role and importance of artificial intelligence for building an effective model of business, management, economy and technology transformation, business and professional activities in the context of law and society digital transformation. Methods: The methodological basis of this work was general scientific methods of cognition of legal phenomena, such as synthesis, the method of analogy, formal logic and others, as well as specific scientific methods for studying the category of artificial intelligence in the field of entrepreneurial and professional activity. Results and novelty: To achieve the goals of using AI, it can be described as follows: the first step is to use big data, the second is to apply analytics, and the third is forecasting. AI is used to collect and store data for analysis and further forecasting. Companies in IT, marketing, finance, accounting and sales are using AI to become more competitive and efficient.
Many sciences meet in the study of family business as a real phenomenon. Despite the fact that in most countries of the world, family business is a rather widespread and highly demanded legal phenomenon, in Russia family business is realized not so often and for the most part, remains strange for an ordinary entrepreneur. Family business in Russia seems to be a phenomenon that is not studied completely but requires special attention. Objective of the research: determination of the essence and main tendencies of the development of legal regulation of the entrepreneurial activity and family business in the period of reformation of the Russian legislation. This scientific research applied a dialectical method of cognition of legal processes and phenomena, used the general scientific methods of scientific cognition of the legal essence of entrepreneurial activity and family business, in particular, a historical method, a method of synthesis, analogy, formal logics, and also specific scientific methods of research of family business and business processes in the post-reform period. Results and novelty: Family business shall be a systemic element that connects the state with small and medium businesses. The introduction of such a form of business activity (family business) shall eliminate the problems and defects of legal regulation of issues arising when business is carried out by family members. It seems necessary to consider the entrepreneurial activity and family business as individual economic and legal phenomena and a grounding of family business as an independent complex legal institution. It is offered to specify the family (spouse) business as a legal entity in the law. Such changes are directed to the efficient legal regulation and establishment of economic conditions for strengthening of family business and development of the family as a social and economic community. The features of the special legal regime of the entrepreneurial activity of spouses are revealed.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
customersupport@researchsolutions.com
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Copyright © 2025 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.