High-Performance Human Resource Practices through the Lenses of the Ability–Motivation–Opportunity Taxonomy: A Multilevel Perspective Cover Image

High-Performance Human Resource Practices through the Lenses of the Ability–Motivation–Opportunity Taxonomy: A Multilevel Perspective
High-Performance Human Resource Practices through the Lenses of the Ability–Motivation–Opportunity Taxonomy: A Multilevel Perspective

Author(s): Evangelos Kremmydas, Agata Austen
Subject(s): Economy, Business Economy / Management
Published by: Wydawnictwo Uniwersytetu Jagiellońskiego
Keywords: human resource management; High-Performance Human Resource Practices; Ability–Motivation–Opportunity Theory; internalization process of HR activities

Summary/Abstract: Background. In the recent past, many studies were devoted to the relationship between High-Performance Human Resource Practices and different types of employee outcomes. Through these studies, it has been shown that High-Performance Human Resource Practices are related to desirable employee outcomes and for this reason the interest in the topic has intensified. Yet the way in which High-Performance Human Resource Practices produce expected performance has not been explained in a satisfactory way.Research aims. The article aspires to analyze the concept of High-Performance Human Resource Practices (HPHRPs) through the lenses of Ability–Motivation–Opportunity (AMO) taxonomy, and to examine the interrelations between these categories of practices, as well as to discuss their impact on employee performance.Methodology. The article applies literature review in the HPHRPs and AMO literature focusing on its outcomes in terms of employee ability, motivation, and opportunity, while applying the idea of the internalization process of HR activities.Findings. HPHRPs were reviewed through the perspective of the AMO taxonomy. The extended view on relationships between HPHRPs is provided through the intended, actual and experienced internalization levels.

  • Issue Year: 19/2020
  • Issue No: 3
  • Page Range: 23-42
  • Page Count: 20
  • Language: English