Measuring Labour Productivity in Service Enterprises: A Multi-Indicator Approach

The article develops a multi-indicator approach to measuring labour productivity in service enterprises. Three limitations of single-indicator measurement are identified: dependence on price dynamics, insensitivity to service quality, and the inability to distinguish intensity from efficiency. A system of four measurement levels is proposed  value, physical, time and quality-adjusted  each represented by its own set of indicators. A worked example demonstrates that two enterprises with almost identical arithmetic scores differ substantially once the geometric mean is applied, because one of them shows a critically low result on the quality-adjusted level. The composite index is therefore calculated as the geometric mean of level indices, which prevents full compensation between levels. Practical implications for enterprise management are substantiated.

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Publication Details

Journal
Academic Journal of Digital Economics and Stability
Published
2026-10-27
DOI
https://doi.org/10.51699/economics.v39i4.1877
Primary Topic
Business, Education, Mathematics Research
Type
article
Field-Weighted Citation Impact
0.00
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article

Measuring Labour Productivity in Service Enterprises: A Multi-Indicator Approach

Sultonov Sanjar Jahongir o‘g‘li
Academic Journal of Digital Economics and Stability
Business, Education, Mathematics Research
article

Measuring Labour Productivity in Service Enterprises: A Multi-Indicator Approach

Sultonov Sanjar Jahongir o‘g‘li
article en

Abstract

The article develops a multi-indicator approach to measuring labour productivity in service enterprises. Three limitations of single-indicator measurement are identified: dependence on price dynamics, insensitivity to service quality, and the inability to distinguish intensity from efficiency. A system of four measurement levels is proposed  value, physical, time and quality-adjusted  each represented by its own set of indicators. A worked example demonstrates that two enterprises with almost identical arithmetic scores differ substantially once the geometric mean is applied, because one of them shows a critically low result on the quality-adjusted level. The composite index is therefore calculated as the geometric mean of level indices, which prevents full compensation between levels. Practical implications for enterprise management are substantiated.

Academic Journal of Digital Economics and Stability
Samarkand State University named after Sharof Rashidov (UZ)
Openalex Percentile: Top 4%
Business, Education, Mathematics Research
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