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Dr. Zelinna Pablo
Research Office, Torrens University Australia, Sydney, NSW 2117, Australia

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0 Ethical behaviour
0 Human and organizational factors
0 Sociomateriality
0 Collaboration in supply chains
0 Supply chain performance beyond efficiency (quality, safety)

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Journal article
Published: 16 December 2020 in Automation in Construction
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This paper examines the role of mobile digital technology in improving quality in housing construction, specifically by reducing defects at handover. Many construction technology impact studies are limited: confined to studying the effects of new technologies in controlled prototype-testing settings, framed around overly broad claims, or built on deterministic propositions assuming that technology unproblematically leads to better quality. Current studies also ignore insights from defect causation models that systematically identify sources of errors and defects. This study's aim was to develop an explanatory defect causation model addressing all four limitations. The proposed model, developed though a qualitative case study involving 10 semi-structured interviews and two phases of analysis, comprises 16 conditions linked in non-deterministic relationships of influence. The model contributes to theory in housing construction management by proposing alternative complex pathways which link defects, technology and quality and can be translated into actionable, flexible strategies for addressing defects in practice.

ACS Style

Kerry London; Zelinna Pablo; Ning Gu. Explanatory defect causation model linking digital innovation, human error and quality improvement in residential construction. Automation in Construction 2020, 123, 103505 .

AMA Style

Kerry London, Zelinna Pablo, Ning Gu. Explanatory defect causation model linking digital innovation, human error and quality improvement in residential construction. Automation in Construction. 2020; 123 ():103505.

Chicago/Turabian Style

Kerry London; Zelinna Pablo; Ning Gu. 2020. "Explanatory defect causation model linking digital innovation, human error and quality improvement in residential construction." Automation in Construction 123, no. : 103505.