Jin, R; Zuo, J and Hong, J (2019) Scientometric review of articles published in ASCE's journal of construction engineering and management from 2000 to 2018. Journal of Construction Engineering and Management, 145(8): 06019001, ISSN 0733-9364
Abstract
This study aims to address research questions related to the evolution of academic research in the field of construction engineering and management (CEM): (1) what are the mainstream research topics since 2000? (2) what are the emerging topics or techniques in CEM within the recent decades? and (3) what are potential CEM research areas in the near future? A scientometric analysis was conducted to review articles published in Journal of Construction Engineering and Management since 2000, follow by a qualitative discussion. This study revealed that project performance indicator-related topics (e.g., cost, scheduling, safety, productivity, and risk management) have been the ongoing mainstream issues over the last decades. Labor and personnel issues gained even more research attention in the last 10 years. Information and communication technologies [e.g., building information modeling (BIM)] applied in CEM has been gaining the momentum since 2009. A variety of quantitative methods have gained popularity in the CEM discipline, such as algorithms, statistics, fuzzy sets, and neural networks. The follow-up qualitative analysis led to the contributions of this review-based study in terms that (1) it provided an overview of the research topics in CEM since 2000 through a text-mining approach; and (2) it offered insights into emerging and near-future research areas, including BIM and data analytics applied in various construction issues (e.g., safety), as well as integrations of research themes (e.g., risk assessment in newly emerging project delivery methods).
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | construction engineering and management; literature review; scientometric analysis; text mining |
| Index terms: | quantitative method, qualitative analysis, evolution, integration, scheduling, information and communication technology, personnel, journal, literature review, neural network, project performance, risk management, mining, construction engineering, risk assessment, project delivery, statistics, building information modelling, fuzzy set, productivity |
| Subjects: | operations research, project delivery, environmental science, data analysis and analytics, artificial intelligence, research design and methodology, mathematical modelling, risk assessment, research dissemination and communication, computing systems, geotechnical engineering, organizational analysis, information systems, decision-making and optimization, engineering methods, management, financial risk, project management theory and practice |
| Topics: | Business Strategy, Cost Management, Project Management, Research Practice, Engineering Principles, Risk Management, Procurement, Sustainability, Digital Applications, Human Resources, Organizational Design, Time Control |
| 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