Publication Details
Issue: Vol 9, No 4 (2026)
Pages: 1008-1015
ISSN: 2576-5973

Abstract

The article develops a methodology for forecasting the development of the service sector and management efficiency based on econometric models. A comparative analysis of forecasting methods is conducted and the criteria for their selection are substantiated. As a result of the research, a five-stage forecasting algorithm, a system of forecast accuracy assessment indicators, and a forecast combination approach are proposed. A three-scenario forecasting model and a mechanism for linking forecast results to management decisions are developed.

Keywords
Forecasting econometric model ARIMA exponential smoothing scenario analysis forecast accuracy MAPE forecast integration services sector management efficiency