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The article is devoted to the study of the life cycle of railway transport services in freight transportation. The features of the service are describe as a type of product. A parametric model of the life cycle of providing services by rail is construct from the moment of loading goods into wagons at the departure station to the moment of unloading at the destination station. There are the comparison of the service life cycle and the turnover of the car. Other operational indicators, features of their calculation and interrelation are also analyze. It is propose to minimize the service life cycle by digitalizing the rationing of operational indicators. It is present the calculation algorithm using by digital methods. The elements of the program interface for calculating and rationing operational indicators are given. The life cycle of the service is comparable to the turnover of the car, but does not take into account the empty mileage of the car. Minimizing the life cycle of products is an important aim, because it will reduce costs, increase the competitiveness and attractiveness of rail transport for cargo owners. Digitalization of the process of calculating and rationing operational indicators can solve this problem. Purpose. The purpose is to apply the product life cycle period to the railway transport service during freight transportation with the subsequent search for opportunities to improve the quality of services provided. Methodology. The article used the analysis of the provision of transportation services from the standpoint of quality management, modeling, as well as the creation of an algorithm and a program for digitalization of a number of operations. Results. The cargo transportation service is differentiate into stages of the life cycle period. It is present a parametric model. They are outline the ways of minimizing the life cycle, which will reduce costs, increase the competitiveness and attractiveness of railway transport for cargo owners. Digitalization of the stage of calculation and rationing of operational indicators can solve this problem Practical implications. It is advisable to apply the results obtained in the railway transportation system, in the work of operators and transport and logistics companies, in the management of the car fleet.

Background: The advent of social networks has created an easy way and cost-effective communication between the company and its customers and the need for them to pay attention to the ethical components in providing services and attract customer loyalty has led this research to provide an ethical model in using networks. Social in providing products and services and maintaining customer loyalty in banks. Method: The present study was qualitative and the method of process team analysis was used. The statistical population was the banking industry experts, 14 of whom were selected by purposive sampling method (snowball). The interview data collection tool was semi-structured and thematic analysis using MAXQDA software was used to analyze the qualitative data. Results: Based on the analysis of the interviews, 200 concepts were identified which, by reviewing the themes, 54 primary codes were extracted and classified into 3 main categories and 16 sub-categories. Customer loyalty is in the first place with 116 assigned codes, social networks are in the second place with 69 codes. Providing services with 15 codes is in the third place. The abundance of sub-criteria related to each category showed that service delivery, sub-category of service innovation, in social networks, sub-category of ethical communication, customer loyalty, sub-category of advertising and ethical marketing and economic growth, have the highest repetition. Conclusion: From the perspective of banking industry experts, ethical components such as; Ethical branding, ethical-organizational factors, service innovation, ethical communication, content sharing, validation, cyberspace, customer value, customer trust, customer awareness, ethical advertising and marketing, customer desire, customer acquisition and retention, competitive advantage, Social responsibility, customer ethical attitude are among the factors affecting customer loyalty in social networks.