Explanatory defect causation model linking digital innovation, human error and quality improvement in residential construction

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. •Defect causation models have been largely ignored by studies exploring digital solutions to defects•Qualitative case studies can support the development of models linking defect causation and technology impact studies•Our proposed model accounts for complex pathways linking digital technology, human error and construction quality•The model interrogates deterministic propositions claiming that technology adoption unproblematically improves quality•The model also bridges the domains of defect causation studies and technology-driven quality improvement