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Financial Motivational Factors Supporting the Optimisation Process Cover

Financial Motivational Factors Supporting the Optimisation Process

By: Joanna Małecka  
Open Access
|Feb 2024

Abstract

Objective

The research objective of the paper is to present the results of an analysis of financial motivational factors supporting the optimisation process in the implementation of Lean Management concepts on the example of a selected manufacturing company.

Methodology

To verify the studied issue, a survey was conducted on the relationship of the influence of financial motivation on the reporting of Kaizen requests among the employees of a manufacturing company apart on two groups of employees, that is, two groups of respondents: GIN=1582022 and GIIN=1372023, using a five-point Likert scale. The paper draws on Lean Management and Kaizen literature, academic articles, online sources, analyses of data from 2020–2023 obtained from the analysed company, and empirical results. Mathematical analysis tools were used to describe the research results obtained, allowing for the construction of summaries and the creation of presented conclusions. An estimation model was also developed to allow managers to evaluate existing motivational factors.

Findings

The research identified a gap resulting from the communication and information flow process operating within the company. A 4 percentage points increase in the effectiveness of the activities carried out, with a 62% level of non-involvement, was observed, indicating the low attractiveness of the current financial motivation factors as a tool to support optimisation processes in the surveyed company.

Value Added

By carrying out the research, valuable and practical information was obtained, which has been used by company managers to take measures to increase employee motivation and the impact of the financial motivation factor operating within the company to support optimisation processes.

Recommendations

The current bonus system in terms of financial incentives to support optimisation processes is at an unsatisfactory level for employees. The scoring of applications should be evaluated or the financial value per model evaluation point should be increased.

DOI: https://doi.org/10.2478/joim-2023-0012 | Journal eISSN: 2543-831X | Journal ISSN: 2080-0150
Language: English
Page range: 78 - 106
Submitted on: Sep 5, 2023
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Accepted on: Nov 28, 2023
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Published on: Feb 16, 2024
Published by: SAN University
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year

© 2024 Joanna Małecka, published by SAN University
This work is licensed under the Creative Commons Attribution-ShareAlike 4.0 License.