An Evaluation Model Supporting IT Outsourcing Decision for Organizations
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Cited by 3 publications
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The article 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 study the role of outsourcing in the humanization of entrepreneurship in the AI economy. The potential of outsourcing in the field of entrepreneurship development in the AI economy is justified through econometric modeling using the regression analysis method on the example of companies from the “Global-500” in 2022. Promising directions for the development of “smart” outsourcing in support of the humanization of entrepreneurship in the economy using the method of comparative analysis are determined through the identification of its advantages in comparison with traditional outsourcing for the humanization of entrepreneurship. Using the case study method, successful examples of the use of “smart” outsourcing in various business operations of entrepreneurship are systematized. The key conclusion is that in the AI economy, the humanization of entrepreneurship can be provided with the help of “smart” outsourcing, which is more preferable than traditional outsourcing due to its increased flexibility, rationality, and efficiency. The theoretical significance lies in clarifying the specifics of outsourcing in the AI economy, as well as in justifying the preference for “smart” outsourcing and in providing a scientific methodology for its implementation. The practical significance is connected with the fact that the proposed practical recommendations on the implementation of “smart” outsourcing allow to improve the efficiency of entrepreneurial activity and strengthen the resilience of businesses to economic crises, supporting economic growth through “smart” outsourcing.
The article 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 study the role of outsourcing in the humanization of entrepreneurship in the AI economy. The potential of outsourcing in the field of entrepreneurship development in the AI economy is justified through econometric modeling using the regression analysis method on the example of companies from the “Global-500” in 2022. Promising directions for the development of “smart” outsourcing in support of the humanization of entrepreneurship in the economy using the method of comparative analysis are determined through the identification of its advantages in comparison with traditional outsourcing for the humanization of entrepreneurship. Using the case study method, successful examples of the use of “smart” outsourcing in various business operations of entrepreneurship are systematized. The key conclusion is that in the AI economy, the humanization of entrepreneurship can be provided with the help of “smart” outsourcing, which is more preferable than traditional outsourcing due to its increased flexibility, rationality, and efficiency. The theoretical significance lies in clarifying the specifics of outsourcing in the AI economy, as well as in justifying the preference for “smart” outsourcing and in providing a scientific methodology for its implementation. The practical significance is connected with the fact that the proposed practical recommendations on the implementation of “smart” outsourcing allow to improve the efficiency of entrepreneurial activity and strengthen the resilience of businesses to economic crises, supporting economic growth through “smart” outsourcing.
«Smart» Outsourcing: Humanizing Entrepreneurship in the AI Economy
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.
Introduction. The relevance of the study of modern management systems and their elements grows every year along with the strengthening of the innovative impact of information and communication technologies on the results of enterprises. Human capital management tools acquire innovative features, which is due to the increase in the share of modern technologies with a high level of intellectualization, which are used in the implementation of economic activities of enterprises and organizations. Purpose. The study of modern management systems, their components and human capital management tools as a basis for finding ways to solve the strategic task of Ukraine in the conditions of protecting its statehood during the Russian-Ukrainian war. Method (methodology). The methods of analysis, synthesis, comparison, substantiation, statistical analysis, abstract-logical, graphic and tabular methods were used in the process of work. Results. The place of human capital development tools in the modern management system of an IT company has been studied and analyzed. It is established that investments in knowledge, skills and abilities of employees play the role of a key tool for the development of human capital. It was revealed that the leadership's readiness for managerial innovations, creating conditions for increasing the value and return on investment in human capital contributes to the growth of social reproduction and is a source of recovery of the economy of Ukraine in the future. It is proposed to consider the results of intellectual work based on the latest technologies for working with big data, automation and robotization of production together with energy- and resource-saving technologies as priority areas of investment for the reconstruction of the country. The future investment priorities of the state, in addition to the restoration of industry and infrastructure, are recommended to include investments in education, health care, social protection of the population, the development of scientific and scientific and technical activities, and the improvement of professional qualification standards of higher education. An innovative model of the management system based on the principles of generating new ideas and initiatives, searching for creative non-standard management solutions, where the main role is played by a new type of manager-innovator, is proposed.
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