Yuliia Rozghon

The relevance of the study is due to the growing need to use chatbots to optimize business processes. The purpose is to form a theoretical basis and practical tools for increasing the efficiency of using chatbots in business processes. The theoretical basis involves substantiating the theoretical foundations of forming a conditional chatbot profile for an optimization system. The practical toolkit includes chatbot components that depend on the complexity of tasks, the type of services, the specifics of customers, financial conditions, and other features of business processes. The result is the formation of a system profile of the chatbot, which would allow increasing the efficiency of its use in business processes. The key system components of the chatbot are substantiated: the technologies used, types of users, optimal areas of application, application algorithms, basic tools, and limitations in application. By varying the parameters of system components, one can choose their optimal values to increase the efficiency of using chatbots in business processes. It is advisable to use the specified system in business processes when determining the demand for products and their sales. The use of chatbots allows to reduce the time to complete business processes, personnel costs, and resources related to their implementation.

Acknowledgment
The paper was prepared in the framework of the research projects “Fundamental grounds for Ukraine’s transition to a digital economy based on the implementation of Industries 3.0; 4.0; 5.0” (No. 0124U000576) and “Digital transformations to ensure civil protection and post-war economic recovery in the face of environmental and social challenges” (No. 0124U000549).

Type of the article: Research Article

The relevance of the study stems from the transformation of modern work models from the technologically oriented Industry 4.0 paradigm to the human-centric Industry 5.0, where employee autonomy is emerging and becoming established as a global trend. The paper aims to conceptualize employee autonomy as an economic resource by optimizing work–life balance and assessing its impact on productivity and population well-being. For the analysis, panel data were collected for 123 countries over the period 2005–2023. The methodological basis of the study is the Levin–Lin–Chu unit root test, the Breusch–Pagan Lagrangian multiplier test, the Hausman specification test, and GLS regression estimation. The study found that, on average, in the group of accessible countries, each additional 100 hours worked per year reduces labor productivity by USD 2 per hour. An increase of one hour in the working year reduces GDP per capita by USD 28.48 per person.

Furthermore, a one percent increase in the length of the working year is associated with a 2.71 percent drop in GDP per capita per hour. Thus, productivity in the Industry 5.0 paradigm at the global level is predominantly qualitative and is shaped by focus, intrinsic motivation, and decentralized decision-making, rather than by increasing working hours. It is concluded that worker autonomy is an economically significant factor in enhancing productivity, innovation potential, and contributing to the geopolitical and geoeconomic sustainability of societies in the era of globalization.

Acknowledgments
The paper is prepared within the scientific research projects “Digital transformations to ensure civil protection and post-war economic recovery in the face of environmental and social challenges” (No. 0124U000549) and “Fundamental grounds for Ukraine’s transition to a digital economy based on the implementation of Industries 3.0; 4.0; 5.0” (No. 0124U000576).