HR Technology and HR Analytics in Human Resource Management: A Literature Review Based on the Ability Motivation Opportunity (AMO) Theory
Keywords:
Human Resource Technology , Human Resource Analytics , Human Resource Management, Ability Motivation Opportunity- Theory, Digital Human Resource-ManagementAbstract
Purpose: This study aims to examine the role of human resource technology and human resource analytics in enhancing human resource management practices through the Ability Motivation Opportunity (AMO) framework.
Subjects and Methods: The study employs a qualitative literature review approach by analyzing recent national and international journal articles related to human resource technology, analytics, and management practices. Data were synthesized using a thematic analysis, categorizing findings into the three AMO dimensions: ability, motivation, and opportunity.
Results: The findings reveal that human resource technology significantly improves employee ability through structured competency development and data-driven training systems. In terms of motivation, the use of analytics supports transparent, objective, and performance-based evaluation systems that enhance employee engagement and fairness perceptions. Furthermore, digital platforms expand opportunities by facilitating employee participation, collaboration, and access to career development pathways. The integration of these technologies enables organizations to adopt more strategic and evidence-based HR practices. However, the effectiveness of implementation depends on organizational readiness, leadership support, and the level of data literacy among HR professionals.
Conclusions: The study concludes that integrating human resource technology and analytics within the AMO framework can strengthen HRM practices and organizational performance, provided that supporting factors such as infrastructure, leadership commitment, and digital competencies are adequately addressed.
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