Volodymyr Kuchynskyi

Employee motivation at the industrial enterprises is one of the most important principles of modern management. The practice of production and commercial activities of domestic enterprises speaks for essential modifications in the approaches to identifying the methods of employee motivation.
In the meantime, at many industrial enterprises, motivational modules are limited to the level of salary payment. Therefore, the search for approaches to the formation of effective methods of employee motivation and the analysis of their classification peculiarities require implementing the complex scientific research and determine the relevance of the chosen topic. The purpose of the article is to adapt the notion of function elasticity to increase the employee motivation effectiveness at the domestic industrial enterprises. Increasing the effectiveness of employee motivation at an industrial enterprise is the object of the research.
The research findings are obtained using the theory and practice of expert methods and system analysis, whereby 26 basic (key) motivational measures were determined, which were divided into six block-modules: jurisdictions, effectiveness, social and psychological, indirect financial influence, and direct financial influence.
The weight of each of the motivational factors is determined and they were also classi¬fied according to this indicator. The notion of motivation elasticity is proposed, which makes it possible to assess the motivational measures performance both for every block-module and for every employee, team, production department or enterprise.
Motivation elasticity ratio for ten employees of Kharkiv Machine Engineering Plant FED is calculated. Recommendations for further research on the paper’s subject are proposed.

Type of the article: Research Article

Abstract
The performance-related associations of circular practices may differ because waste recovery, recycled-input use, and circularity-related investment involve distinct costs, investments, and organizational mechanisms. This study examines heterogeneous associations between organizational circularity components and economic performance across 25 industrial enterprises in the Ukrainian operating and European comparison subsamples during 2013–2023. Fixed-effects regressions, decomposition, lagged and subgroup models, a non-imputed subsample, a balanced common-support window, pooled interactions, wild-cluster-bootstrap inference, and Holm adjustment were applied.
The aggregate circularity index shows no statistically significant short-term association with EBITDA margin (β = +0.0222; p = 0.894).
The decomposed components show different coefficient profiles, but formal heterogeneity is sample-sensitive: coefficient equality is not rejected in the full-panel decomposed model (M2) (p = 0.101) but is rejected in the non-imputed model (M3) (p = 0.002). Recycled-input use is predominantly negative and nominally significant in the one-period lag-only (M4) and Ukrainian operating subsample (M6) models, although neither coefficient survives Holm adjustment and the lagged estimate is not reproduced in the combined model. Circularity-related eco-capex is positive in M3 and the European comparison subsample model (M5), where it is supported by unadjusted wild-cluster-bootstrap (p = 0.0198) and Holm-adjusted CR1 inference (p = 0.0273). The country-context interaction block is jointly significant (p = 0.042), with RI × UA as the only individually significant interaction (β = –1.566; p = 0.038).
The findings indicate that aggregate measures may conceal component-specific patterns, but most associations remain sample- or specification-sensitive and should not be interpreted causally. Enterprise assessment should distinguish recovery, material-substitution, and investment-modernization channels.