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Contextualising Human Resource Management Through Qualitative Research: Evidence From Australia and New Zealand

Hannah Meacham et al.

Asia-Pacific Journal of Human Resources2026https://doi.org/10.1111/1744-7941.70071article
AJG 2ABDC A
Weight
0.50

Abstract

Australia and New Zealand offer fertile environments for innovative, world‐leading scholarship on human resource management (HRM) theory and practice. Research on HRM that focuses on these two countries, particularly studies employing qualitative methodologies, has the potential to generate fresh insights into contemporary workplace challenges and corresponding HRM solutions. The Australian and New Zealand contexts are distinctive, shaped by unique geographical, cultural, economic, and institutional characteristics. Traditional HRM research has emphasised the importance of integrating contextual factors such as social and cultural norms, technological developments, economic conditions, industry dynamics, and national institutions as key influences on HRM strategies, policies, and practices. More recently, however, the field has shifted away from studying HRM within its contextual environment toward more positivist, individually oriented analytical approaches. In this special issue, we contend that national contextual forces remain crucial for advancing HRM theory and practice.

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https://doi.org/https://doi.org/10.1111/1744-7941.70071

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@article{hannah2026,
  title        = {{Contextualising Human Resource Management Through Qualitative Research: Evidence From Australia and New Zealand}},
  author       = {Hannah Meacham et al.},
  journal      = {Asia-Pacific Journal of Human Resources},
  year         = {2026},
  doi          = {https://doi.org/https://doi.org/10.1111/1744-7941.70071},
}

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Contextualising Human Resource Management Through Qualitative Research: Evidence From Australia and New Zealand

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Evidence weight

0.50

Balanced mode · F 0.40 / M 0.15 / V 0.05 / R 0.40

F · citation impact0.50 × 0.4 = 0.20
M · momentum0.50 × 0.15 = 0.07
V · venue signal0.50 × 0.05 = 0.03
R · text relevance †0.50 × 0.4 = 0.20

† Text relevance is estimated at 0.50 on the detail page — for your query’s actual relevance score, open this paper from a search result.