Zhang, Y.; Chang, R. D.; Omrany, H.; Zuo, J.; Li, L.; Bamborough, C. E. and Haeusler, H. M. (2026) Exploring professional attitudes on automated construction progress monitoring: A q methodology approach. Engineering, Construction and Architectural Management, 33(15), pp. 386-413. ISSN 0969-9988
Abstract
Purpose – Despite growing recognition of Automated Construction Progress Monitoring (ACPM) technologies as promising solutions to improve project efficiency and accuracy, their practical adoption within the construction industry remains limited. It is investigated that insufficient attention has been paid to systematically understanding the subjective attitudes, perceptions and concerns of construction professionals responsible for technology adoption decisions. Addressing this critical gap, the present study employs Q methodology integrated with an extended UTAUT framework to systematically capture and quantify construction professionals' subjective viewpoints regarding ACPM technology adoption. Design/methodology/approach – To ensure strong theoretical grounding and context specificity, Q methodology was integrated with an extended UTAUT framework, which enables structured categorisation of statements reflecting key adoption factors such as performance expectancy, effort expectancy, social influence and facilitating conditions, along with additional factors like perceived risk, price value and habit. Data were collected through online Q-sorting from 25 construction professionals who represent diverse roles and experiences, providing rich contextual insights into perceptions and barriers of ACPM technology adoption. Findings – The results unveiled four key perspectives: advocates who support ACPM technology, sceptics who are concerned about its cost-saving potentials, negativists who lack enthusiasm and realists wary of ACPM's maturity. The findings also revealed shared concerns about resistance to change and additional costs, alongside recognition of ACPM's potential to enhance project tracking. Research limitations/implications – The findings offer clear theoretical implications by advancing knowledge of specific factors influencing the acceptance of ACPM technology among construction professionals. Practically, this study provides targeted recommendations for different stakeholder groups based on the outcomes, assisting them in strategically addressing identified barriers, promoting effective ACPM technology integration and enhancing technology adoption rates in real-world construction projects. Yet, limitations also exist, such as reflecting views from participants primarily familiar rather than experienced with ACPM, involving a modest sample size typical for Q methodology and pertaining mainly to the Australian context. Originality/value – This research contributes to the research body by systematically integrating Q methodology with an extended UTAUT framework to quantify and categorise construction professionals' subjective attitudes towards ACPM technology adoption. Unlike previous studies that primarily emphasise technological capabilities, this approach provides structured, nuanced insights into diverse stakeholder perspectives, thereby filling a crucial theoretical and empirical gap in understanding user acceptance within the ACPM context.
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | industry 4.0; progress monitoring; technology adoption; utaut |
| Index terms: | automated construction, sample size, efficiency, industry 4.0, Q methodology, technology adoption, construction industry, construction professional, accuracy, habit, integration, methodology, progress monitoring, construction project, technological capability |
| Subjects: | automation and robotics, production management, research methods, innovation and technology management, health behaviours and lifestyles, industry analysis, organizational analysis, project controls, professional development, performance management, technology adoption, data analysis and analytics, research design and methodology |
| Topics: | Information Management, Research Practice, Digital Applications, Time Control, Organizational Design, Engineering Principles, Project Management, Quality Management |
| Descriptive scope: | 4 PCTA |
N.B. Descriptive scope is a count of how many of the five facets of empirical research are indicated by the words used in title, abstract and keywords. It is not intended as a judgement on the research; merely a count of the kind of word we would expect to indicate Phenomenon, Concepts, Theoretical framing, Empirical techniques, Analytical techniques. If all five are present, then a code of “5 PCTEA” will indicate this. If you feel the coding for this record is questionable, we welcome discussion around the terms we matched or the way we categorized them. The facet you would expect may not be coded, or a facet may be coded inappropriately. This can also bear on a larger question, of which facets should be treated as defining in construction management research. Please get in touch, and we will look at it. More details here