Abstract

This ongoing study explores the adoption and implementation of smart warehouses in New Zealand’s logistics sector through the lens of Socio-Technical Systems Theory (STST). By investigating the interrelated components of people, technologies, infrastructure, organisational structures, processes, cultural goals, and broader socio-human factors, this research leverages both secondary data— comprehensive database sourced from New Zealand government reports, industry publications, corporate case studies, and reputable news outlets—and primary data from industry interviews with warehouse managers. The research so far identifies two dominant automation models: the ‘Split Task Model’, where technology handles repetitive tasks while humans oversee complex functions, and the ‘Collaborative Model’, where technology enhances human performance making tasks more efficient, accurate, or safe. Findings indicate that automation in New Zealand is reshaping rather than replacing jobs, prompting role evolution and a growing focus on up-skilling.

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