An analysis of BIM-related job requirements based on text mining in China

被引：0

作者：

Liu, Jiahao ^{[1
]}

Xu, Xi ^{[1
]}

Liu, Jing ^{[1
]}

机构：

[1] Qingdao Univ Technol, Sch Management Engn, Qingdao, Peoples R China

来源：

JOURNAL OF ENGINEERING DESIGN AND TECHNOLOGY | 2025年 / 23卷 / 01期

关键词：

Building information modeling; Job requirement; Text mining; Job advertisement; Structural topic model; COMPETENCES;

D O I：

10.1108/JEDT-03-2023-0094

中图分类号：

T [工业技术];

学科分类号：

08 ;

摘要：

PurposeAlthough building information modeling (BIM) has brought competitive advantages and many new jobs, the BIM-related job market is still confusing in China, which will undermine the adoption of BIM. This paper aims to show what kinds of BIM-related jobs are there in China, what employers require and whether all BIM engineers are the same kind. Design/methodology/approachA text mining approach, structural topic model, was used to process the job descriptions of 1,221 BIM-related online job advertisements in China, followed by a cluster analysis based on it. FindingsFirst, 10 topics of requirements with the impact of experience and educational background to them were found, namely, rendering software, international project, design, management, personal quality, experience, modeling, relation and certificate. Then, six types were clustered, namely, BIM modeler, BIM application engineer, BIM consultant, BIM manager, BIM developer and BIM designer. Finally, different kinds of BIM engineers proved this title was an expediency leading to confusion. Originality/valueThis paper can provide a clear and insightful look into the confusing and unheeded BIM-related job market in China and might help to cope with the abuse of job titles. It could also benefit both employers and candidates in their recruitment for better matching.

引用

页码：126 / 142

页数：17

共 37 条

[11] Big Data Software Engineering: Analysis of Knowledge Domains and Skill Sets Using LDA-Based Topic Modeling [J].

Gurcan, Fatih ;

Cagiltay, Nergiz Ercil .

IEEE ACCESS, 2019, 7 :82541-82552

[12] Viability of the BIM Manager Enduring as a Distinct Role: Association Rule Mining of Job Advertisements [J].

Hosseini, M. Reza ;

Martek, Igor ;

Papadonikolaki, Eleni ;

Sheikhkhoshkar, Moslem ;

Banihashemi, Saeed ;

Arashpour, Mehrdad .

JOURNAL OF CONSTRUCTION ENGINEERING AND MANAGEMENT, 2018, 144 (09)

[13]

iResearch, 2021, 2021 CHIN ONL RECR I

[14] Latent Dirichlet allocation (LDA) and topic modeling: models, applications, a survey [J].

Jelodar, Hamed ;

Wang, Yongli ;

Yuan, Chi ;

Feng, Xia ;

Jiang, Xiahui ;

Li, Yanchao ;

Zhao, Liang .

MULTIMEDIA TOOLS AND APPLICATIONS, 2019, 78 (11) :15169-15211

[15] Data mining approach to monitoring the requirements of the job market: A case study [J].

Karakatsanis, Ioannis ;

AlKhader, Wala ;

MacCrory, Frank ;

Alibasic, Armin ;

Omar, Mohammad Atif ;

Aung, Zeyar ;

Woon, Wei Lee .

INFORMATION SYSTEMS, 2017, 65 :1-6

[16] Assessment of BIM Competencies and Correlation Analysis between Competencies and Career Characteristics of FAB Construction Project Participants [J].

Lee, Songyi ;

Chung, Suwan ;

Kwon, Soonwook ;

Cho, Chung-Suk ;

Lee, Kyuhyup .

APPLIED SCIENCES-BASEL, 2021, 11 (18)

[17] Interrelations among Leadership Competencies of BIM Leaders: A Fuzzy DEMATEL-ANP Approach [J].

Mirhosseini, Seyed Armin ;

Kiani Mavi, Reza ;

Kiani Mavi, Neda ;

Abbasnejad, Behzad ;

Rayani, Farzaneh .

SUSTAINABILITY, 2020, 12 (18)

[18]

MOE, 2022, MAIN RES NAT ED STAT

[19]

MOHRSS, 2021, NOT GEN OFF MIN HUM

[20] Text mining of industry 4.0 job advertisements [J].

Pejic-Bach, Mirjana ;

Bertoncel, Tine ;

Mesko, Maja ;

Krstic, Zivko .

INTERNATIONAL JOURNAL OF INFORMATION MANAGEMENT, 2020, 50 :416-431

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