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Article
Publication date: 4 January 2021

Andreas Günter and Ernst Gopp

Productivity is a multidimensional and context-dependent concept. Therefore, many different definitions and consequently, many different approaches to productivity measurement…

Abstract

Purpose

Productivity is a multidimensional and context-dependent concept. Therefore, many different definitions and consequently, many different approaches to productivity measurement (PM) exist in the literature. As a result, the understanding of productivity and the appropriate use of PM approaches are at a low level. The literature provides some overviews, but these overviews consider only a few selected individual aspects. Therefore, the overviews do not allow a comprehensive comparison and evaluation of existing approaches. This paper aims to give an overview of existing approaches to PM and to classify them according to elaborated criteria based on the main characteristics of productivity.

Design/methodology/approach

Literature review for existing approaches to PM using the following keywords: productivity, PM, productivity measure, labour productivity and labor productivity.

Findings

A total of 38 approaches are identified and listed between 1955 and 2020. The main result is a systematic overview and classification of existing approaches to PM.

Research limitations/implications

Researchers can use the overview to determine the development over time, the current state of research in the field of PM and identify research gaps. The classification can also be used to classify new approaches.

Practical implications

Companies can use the classification as a guide to identifying appropriate approaches to measuring productivity in corporate practice.

Originality/value

This paper enables a comprehensive comparison and evaluation of existing approaches to PM. Also, the understanding of the multidimensional character of the productivity concept is enhanced.

Details

International Journal of Productivity and Performance Management, vol. 71 no. 4
Type: Research Article
ISSN: 1741-0401

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