Identifying the perception differences of emerging construction-related technologies between industry and academia to enable high levels of collaboration

Jang, Y; Kim, K; Leite, F; Ayer, S and Cho, Y K (2021) Identifying the perception differences of emerging construction-related technologies between industry and academia to enable high levels of collaboration. Journal of Construction Engineering and Management, 147(10): 06021004, ISSN 0733-9364

Abstract

Emerging technologies play an essential role in improving overall productivity in the construction industry. However, this field has historically been criticized for the slow adoption of these innovative tools. To promote emerging technology adoption, exchanging knowledge and practices through academia and industry collaboration is essential. This paper analyzes the perception differences between academics and construction industry practitioners with regard to 17 emerging technologies through survey data and identifies potential technologies for high levels of collaboration from an academic perspective. The survey was designed to obtain responses about technological use, interest, maturity, implementations, applications, benefits, and barriers. Three technologies, three-dimensional (3D) printing; artificial intelligence (AI), neural networks (NNs), and deep learning (DL); and smart materials, were identified as having the highest potential for enabling collaboration. The findings from this study will allow academic researchers to strategically develop research directions that align with the needs reported by industry practitioners to sustain research funding and foster the adoption of innovative technologies in the construction fields.

Item Type: Article
Uncontrolled Keywords: academia-industry collaboration; emerging technologies
Index terms: deep learning, productivity, artificial intelligence, construction industry, implementation, academia, emerging technology, survey, smart material, neural network, research funding, practitioner, collaboration
Subjects: practitioner, materials science, data collection methods, innovation and technology management, artificial intelligence, contractual arrangements, management, industry analysis, research management, educational institutions
Topics: Business Strategy, Construction Materials, Research Practice, Roles and Professions, Procurement, Digital Applications, Organizational Design, Education
Descriptive scope: 4 PCTE

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