2026-10-08T06:56:37Z https://api.figshare.com/v2/oai

oai:figshare.com:article/34036928 2026-09-30T20:43:15Z category_7 category_39 category_45 category_106 portal_87 item_type_3 month_year_09_2026

Mixed reality in construction: an empirical framework for adoption, resistance, and maturity Saddam Hussain Khurram (25146245) Shengjun Miao (25146248) Muhammad Akbar (3700117) Ahmed Othman Alanazi (25146251) Asiya Mushtaq (25146254) Medicine Ecology Sociology Science Policy Construction technology adoption mixed reality technology acceptance organizational learning exploratory survey MR Realism Curve <p>Mixed Reality (MR) can support visualization, coordination, inspection, and safety in construction, yet sustained adoption remains uneven. This study re-examines cross-sectional survey evidence from 100 construction professionals on perceived MR implementation costs and benefits. The revised interpretation is deliberately exploratory. Users reported lower perceived Business Process Re-engineering (BPR) cost than non-users (<i>M</i> = 3.10 versus 3.82) and higher perceived productivity benefit (<i>M</i> = 3.79 versus 3.09), whereas the original five-level usage-frequency score showed a modest negative linear association with productivity perception (r=-0.272, <i>p</i> = 0.006). These statistics answer different questions and do not establish a decline-and-recovery trajectory. Professional role was associated with initial hardware-cost perception, F(2,96)=4.99, <i>p</i> = 0.009, with the Design/Digital group reporting the highest mean. In response to the limits of a sample of 100 and a cross-sectional, self-selected design, the MR Realism Curve is therefore reframed as a conceptual proposition rather than an empirically validated temporal model. The proposition integrates technology-acceptance research with organizational-learning theory and identifies pre-adoption expectations, early-use recalibration, and a mature-use hypothesis for future longitudinal testing. The findings support cautious expectation management while emphasizing the need for larger, longitudinal, and probability-based studies.</p> 2026-09-30T20:43:15Z Dataset Dataset 10.6084/m9.figshare.34036928.v1 https://figshare.com/articles/dataset/Mixed_reality_in_construction_an_empirical_framework_for_adoption_resistance_and_maturity/34036928 CC BY 4.0