Omotayo, T S; Awuzie, B and Lovelin, O (2023) Synergising continuous improvement with circular economy for advancing innovation in the construction sector: A text mining approach. In: Tutesigensi, A and Neilson, C J (eds.) Proceedings of 39th Annual ARCOM Conference, 4-6 September 2023, University of Leeds, Leeds, UK.
Abstract
Integrating continuous improvement and circular economy principles can promote sustainable construction practices (SCPs) and deliver long-term environmental, social and economic benefits. This study demonstrated how text mining could be applied to explicate the linkage between continuous improvement and circular economy principles in enhancing sustainable construction practices. The research applied unsupervised machine learning using text mining analyses through collocations to identify thematic areas where the integration of continuous improvement and circular economy principles would foster sustainable construction. Eighty-nine (89) peer-reviewed publications were extracted from the Scopus database for text mining analysis. The findings from text mining presented seven cogent themes through which continuous improvement and circular economy can be integrated. The optimal integration of the linkages advocated in this research can facilitate improved SCPs such as design for disassembly, modular construction, adaptive reuse, eco-friendly materials, innovative technologies, industrial symbiosis, life cycle assessment, cradle-to-cradle design, and lean construction practices. This investigation elucidated the utility of machine learning text mining in thematising and advancing sustainable construction research.
| Item Type: | Conference Paper (Paper) |
|---|---|
| Uncontrolled Keywords: | construction; circular economy; continuous improvement; text mining |
| Index terms: | database, circular economy, life cycle assessment, linkage, adaptive reuse, continuous improvement, sustainable construction, sustainable construction practice, lean construction, publication, design for disassembly, construction sector, eco-friendly material, machine learning, investigation, mining, integration, modular construction |
| Subjects: | sustainable construction, sustainable design, performance measurement, industry analysis, geotechnical engineering, building construction, data management, organizational analysis, environmental impact, business, data collection methods, research dissemination and communication, artificial intelligence, sustainability and energy |
| Topics: | Engineering Principles, Information Management, Research Practice, Business Strategy, Sustainability, Construction Technology, Quality Management, Digital Applications, Site Management, Organizational Design |
| 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