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Article
Publication date: 9 May 2024

Flávio Cunha, Jose Dinis-Carvalho and Rui M. Sousa

This study aims to identify the perception of people in a Portuguese company regarding the main barriers to the effectiveness of the existing performance measurement system (PMS…

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Abstract

Purpose

This study aims to identify the perception of people in a Portuguese company regarding the main barriers to the effectiveness of the existing performance measurement system (PMS) and whether those perceptions are dependent of people’s hierarchical levels, education levels, work shifts, gender and department.

Design/methodology/approach

Primary data was collected through structured interviews (adapted to three levels of interviewees in the company hierarchy) and Likert scale questionnaires. Descriptive statistical analysis of the collected data was performed as well as a chi-square test.

Findings

The results provide an insight on the perception of barriers to the PMS effectiveness in the company. After performing interviews and questionnaires it was possible to identify that the main perceived barriers were: poor communication system and issues on target definition, lack of trained resources, employee involvement, indicators understanding and use for improvement.

Practical implications

This study is the starting point to develop actions aiming to eliminate, or at least mitigate, the impact of the barriers on the PMS effectiveness.

Originality/value

PMSs play an essential role in an organization, so it is essential to identify what hinders its effectiveness. This study opens the discussion by diagnosing the company’s perception of the barriers to PMS effectiveness.

Details

International Journal of Lean Six Sigma, vol. 16 no. 2
Type: Research Article
ISSN: 2040-4166

Keywords

Available. Content available
Book part
Publication date: 12 November 2018

Abstract

Details

Supply Chain Management and Logistics in Latin America
Type: Book
ISBN: 978-1-78756-804-4

Available. Content available
Article
Publication date: 20 September 2021

Massimo Ragnedda and Glenn Muschert

354

Abstract

Details

Digital Policy, Regulation and Governance, vol. 23 no. 3
Type: Research Article
ISSN: 2398-5038

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