Differences in the impact of AMO bundles of line managers and frontline workers on the performance of manufacturing firms

Author:

Bayo-Moriones AlbertoORCID,Bello-Pindado Alejandro

Abstract

PurposeThe purpose of this paper is to analyse the impact on manufacturing performance of human resource management (HRM) practices across two job levels within manufacturing firms in Argentina and Uruguay: that of line managers and frontline workers. HRM practices are categorised into three bundles defined by the AMO theoretical framework: ability, motivation and opportunity.Design/methodology/approachThe article uses data from a survey to 301 manufacturing plants in Uruguay and Argentina. Given the characteristics of the dependent variable, linear regression models have been estimated in order to test the hypotheses.FindingsThe results show that the ability and opportunity bundles for line managers are positively associated with manufacturing performance. However, only the motivation bundle affects manufacturing performance for frontline workers.Research limitations/implicationsThe main limitations are the use of cross-sectional data, the focus on two specific countries and the analysis of two employee categories that are not completely homogenous. The paper extends the contingency perspective in HRM by examining the relevance of job level as a contingent factor in the HRM-performance relationship in the manufacturing industry.Practical implicationsThe results suggest that manufacturing companies should target HR investments more towards line managers than to frontline employees. More specifically, they should concentrate efforts on the ability and opportunity bundles.Originality/valueThe article contributes to the very limited empirical evidence on the impact of HRM differentiation on firm performance by analysing sub-dimensions in a context not previously analysed.

Publisher

Emerald

Subject

Strategy and Management,Public Administration,Business and International Management,General Economics, Econometrics and Finance

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