Purpose
Companies use continuous improvement (CI) as a strategy to achieve business excellence and innovation. Yet CI initiatives fail mostly due to a lack of employee engagement. The paper aims to discuss this issue.
Design/methodology/approach
Based on the CI literature and the technology acceptance model (TAM), a comprehensive model called continuous improvement acceptance mode (CIAM) was developed to understand the main organisational antecedents that predict employee intention to participate in CI. The CIAM is based on structural equation modelling using partial least squares and it was validated in a large manufacturing plant in Europe.
Findings
Emulating the findings of the TAM, this study shows that employee intention to participate can be predicted by two variables called ease of participating and usefulness of participating. The CIAM then relates these constructs with relevant CI enablers found in the CI literature.
Practical implications
The CIAM could help academics and practitioners to better understand employee participation in CI activities, allowing CI systems to be better designed and achieve long-term sustainability.
Originality/value
The CIAM presents new variables and interactions that help to understand employee participation in CI activities. Some of these variables and interactions have received scant attention in the CI literature and thus they are worth investigating in greater depth in the future.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.