«Smart» Outsourcing: Humanizing Entrepreneurship in the AI Economy

Abstract

Introduction. The study focuses on the problem of optimizing human resource management with systematic coverage of economic efficiency and corporate social responsibility. The purpose of the article is to investigate the role of outsourcing in humanizing entrepreneurship in the AI economy. The potential of outsourcing in the development of entrepreneurship in the artificial intelligence economy is substantiated through econometric modeling using the method of regression analysis on the example of companies from the “Global-500” in 2022. Prospective directions of development of “smart” outsourcing in support of humanization of entrepreneurship in the economy with the help of the method of comparative analysis are determined through the identification of its advantages in comparison with traditional outsourcing for humanization of entrepreneurship. Using the case study method, successful examples of smart outsourcing in various business operations of entrepreneurship are systematized.Materials and methods. The article relies on the quantitative-qualitative methodology in accordance with the systemic approach to form the most complete and reliable picture of the use of outsourcing in entrepreneurship in the artificial intelligence economy. The research in the paper is conducted at the micro level of the AI economy in the study of entrepreneurship practices. The fundamental basis of the research conducted in this article was formed by the Human Resource Management (HRM) Theory. The authors used both general scientific and privatescientific methods of cognition, among which we can distinguish dialectical, comparative, structural and functional, etc.Results of the study. The obtained results develop and supplement the scientific provisions of the Theory of Human Resource Management (HRM). As a result of the research, the authors of the article proved that the application of outsourcing should not be limited to individual cases, and it is advisable to mass application of outsourcing to improve the efficiency of human resource management in entrepreneurship. Thereby, the key role of outsourcing in realizing SDG8 in the AI economy is substantiated. The contribution of the article to science is to redefine the essence and role of outsourcing in the AI economy. The results reflect outsourcing in a new light, which for the first time is presented not only as a tool, but also as an object of automation.Discussion and Conclusion. The key conclusion is that in the artificial intelligence economy the humanization of entrepreneurship can be ensured through smart outsourcing, which is more preferable to traditional outsourcing due to its increased flexibility, rationality and efficiency. The theoretical significance lies in clarifying the specifics of outsourcing in the artificial intelligence economy, as well as in justifying the preference and in providing a scientific methodology for the implementation of smart outsourcing. Practical significance is related to the fact that the proposed practical recommendations for the implementation of “smart” outsourcing can improve the efficiency of business activities and increase business resilience to economic crises, support economic growth through smart outsourcing.