Sharma, V C and Gupta, J K (2026) Artificial intelligence in construction: Multi-stakeholder strategies for future development. International Journal of Construction Education and Research, 22(1), pp. 164-188. ISSN 1557-8771
Abstract
While playing a vital role in global infrastructure development, the construction sector continues to grapple with issues of inefficiency, resource mismanagement, and environmental impact. Artificial intelligence (AI) has emerged as a transformative force with the potential to revolutionize construction practices. However, successful integration of AI requires a collaborative effort across various stakeholders. This research explores the multi-stakeholder dynamics of AI adoption in construction, analyzing the potential benefits, challenges, and key strategies for fostering successful collaboration. By examining existing literature and conducting a survey amongst key stakeholders, this study aims to contribute to a comprehensive understanding of how AI, coupled with a multi-stakeholder approach, can unlock a more productive, sustainable, and future-proof construction industry.
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | artificial intelligence; construction management; multi-stakeholder collaboration; productivity; sustainability |
| Index terms: | dynamics, artificial intelligence, construction industry, productivity, environmental impact, collaboration, integration, construction sector, infrastructure development, survey, strategy |
| Subjects: | management, organizational analysis, systems engineering, industry analysis, data collection methods, artificial intelligence, infrastructure engineering, environmental impact |
| Topics: | Sustainability, Engineering Principles, Organizational Design, Digital Applications, Research Practice, Business Strategy |
| 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