Dependence of EBITDA margin on the service experience consistency index in network businesses

Анотація

In network companies with a multi-point presence, the stability of service processes is a key factor in financial performance. However, variability in compliance with service standards leads to heterogeneity of operating costs and revenues between divisions, making it difficult to manage profitability at the network level. The article examines the use of the Service Consistency Index (SCI) as a tool for quantifying service practice consistency and analyzing its impact on EBITDA margin.

The purpose of the study is to establish and parameterize the dependence of the EBITDA margin on SCI, and to determine the threshold levels of service process consistency at which the effect on operational profitability becomes statistically significant across network divisions with different cost structures and location formats.

The study uses empirical analysis based on data from network units, including assessment of compliance with service standards, uniformity of operational results, and stability of regulatory compliance. The service experience consistency index is used to analyze the relationship with marginality.

Assessment of compliance thresholds and identification of channels of influence through stabilization of processes, optimization of labor resources and increase in repeat sales. A stable positive relationship between the level of consistency of service processes and the EBITDA margin of divisions was revealed. Integral assessment enables monitoring procedure stability, standardizing operational processes, and planning resources to increase the network’s operational margin. It has been confirmed that the developed SCI index is suitable for monitoring and benchmarking across departments, setting service standards, and supporting personnel motivation systems. It has been established that determining target levels of consistency in service practices maximizes operational profitability without excessive growth in control costs and increases the effectiveness of quality management in network businesses.