Research trends analysis using text mining in construction management: 2000–2020

Bilge E. Ç., Yaman H.

ENGINEERING, CONSTRUCTION AND ARCHITECTURAL MANAGEMENT, cilt.29, sa.8, ss.3210-3233, 2022 (SCI-Expanded)

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 29 Sayı: 8
  • Basım Tarihi: 2022
  • Doi Numarası: 10.1108/ecam-02-2021-0107
  • Dergi Adı: ENGINEERING, CONSTRUCTION AND ARCHITECTURAL MANAGEMENT
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Social Sciences Citation Index (SSCI), Scopus, ABI/INFORM, Aerospace Database, Business Source Elite, Business Source Premier, Communication Abstracts, ICONDA Bibliographic, Index Islamicus, INSPEC, Metadex, Civil Engineering Abstracts
  • Sayfa Sayıları: ss.3210-3233
  • İstanbul Teknik Üniversitesi Adresli: Evet

Özet

Abstract

Purpose – This study aims to identify the trends that have changed in the field of construction management

over the last 20 years.

Design/methodology/approach – In this study, 3,335 journal articles published in the years 2000–2020

were collected from the Web of Science database in construction management. The authors applied

bibliometric analysis first and then detected topics with the latent Dirichlet allocation (LDA) topic detection

method.

Findings – In this context, 20 clusters from cluster analysis were found and the topics were extracted in clusters

with the LDA topic detection method. The results show “building information modeling” and “information

management” are the most studied subjects, even though they have emerged in the last 15 years “building

information modeling,” “information management,” “scheduling and cost optimization,” “lean construction,”

“agile approach” and “megaprojects” are the trend topics in the construction management literature.

Research limitations/implications – This study uses bibliometric analysis. The authors accept that the cocitation

and co-authorship relationship in the data is ethical. They accept that honorary authorship, self-citation

or honorary citation do not change the pattern of the construction management research domain.

Originality/value – There has been no study conducted in the last 20 years to examine research trends in

construction management. Although bibliometric analysis, systematic literature reviews and text mining

methods are used separately as a methodology for extracting research trends, no study has used enhanced

bibliometric analysis and the LDA topic detection text mining method.

Keywords Construction management, Research trends, Text analytics, Bibliometric

Paper type Research paper