A Data-Driven Approach to Trace the Development of Lean Construction in Building Projects: Topic Shift and Main Paths

跟踪(心理语言学) 精益施工 领域(数学) 引用 计算机科学 钥匙(锁) 精益制造 数据科学 口译(哲学) 知识管理 建筑业 工程类 建筑工程 万维网 运营管理 数学 哲学 程序设计语言 纯数学 语言学 计算机安全
作者
Hengqin Wu,Xue Lin,Xiao Li,Boyu Zhang,Clyde Zhengdao Li,Huabo Duan
出处
期刊:Buildings [Multidisciplinary Digital Publishing Institute]
卷期号:12 (5): 616-616 被引量:5
标识
DOI:10.3390/buildings12050616
摘要

Due to the varied ideas of lean philosophy adopted in the construction industry, it is challenging to trace the development of lean philosophy in terms of how the field evolved by adopting the lean ideas and how the topic shifted. However, it is challenging to extract useful information from the massive body of literature and to trace the development of Lean Construction in Building Projects. Previous studies have conducted longitudinal analyses of scientific areas depending on the authors’ interpretation and explanation, which is time-consuming and labor-intensive. To address this concern, this study proposes a data-driven approach integrating N-gram extraction, citation analysis, and a global key-route algorithm to trace the development. Based on the collected literature of Lean Construction in Building Projects, N-grams were extracted as topics from the raw texts of titles, abstracts, and keywords, and the shifts in topics were measured. Then, the references were extracted from the literature to create a citation network to represent the knowledge flows, and the global key-route algorithm was used to identify the most valuable flows reflecting the main paths of the development. The results illustrate how Lean Construction in Building Projects evolved and how the topics shifted, providing an exciting opportunity to reveal this development by using a data-driven approach rather than personal judgments. The findings can help us to understand that the field of Lean Construction in Building Projects was driven and motivated not only by the “lean theory”, but also by problems in the practice of building projects. Moreover, lean theory leads to flourishing research on informatization, and BIM will be an important tool to better achieve lean thinking in construction.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
刚刚
刚刚
刚刚
1秒前
AsCr完成签到,获得积分10
1秒前
万千回忆发布了新的文献求助10
1秒前
shelemi发布了新的文献求助10
1秒前
今后应助zgx采纳,获得30
2秒前
2秒前
完美世界应助呱呱采纳,获得10
2秒前
Rina完成签到,获得积分20
2秒前
Bruce完成签到,获得积分10
2秒前
3秒前
蓝色的鱼完成签到,获得积分10
5秒前
哈哈完成签到,获得积分10
5秒前
ll发布了新的文献求助10
5秒前
蓝天应助难过忆山采纳,获得10
5秒前
洛希极限发布了新的文献求助10
5秒前
解语花031发布了新的文献求助200
5秒前
5秒前
zzz完成签到,获得积分10
6秒前
7秒前
7秒前
深情安青应助陈麦子采纳,获得10
8秒前
匿名橙子完成签到,获得积分10
10秒前
eason发布了新的文献求助10
10秒前
彭于晏应助NN采纳,获得10
10秒前
10秒前
洛希极限完成签到,获得积分10
11秒前
科研通AI6.4应助虞头星星采纳,获得30
11秒前
11完成签到,获得积分10
12秒前
奔跑的黑熊仔应助哈哈采纳,获得20
12秒前
14秒前
初晴完成签到 ,获得积分10
14秒前
今后应助宋晓静采纳,获得10
14秒前
牧青发布了新的文献求助10
15秒前
16秒前
闪闪的信封给闪闪的信封的求助进行了留言
16秒前
18秒前
19秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Les Mantodea de Guyane Insecta, Polyneoptera 2000
Emmy Noether's Wonderful Theorem 1200
Leading Academic-Practice Partnerships in Nursing and Healthcare: A Paradigm for Change 800
基于非线性光纤环形镜的全保偏锁模激光器研究-上海科技大学 800
Signals, Systems, and Signal Processing 610
Research Methods for Business: A Skill Building Approach, 9th Edition 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 物理 内科学 复合材料 催化作用 物理化学 光电子学 电极 细胞生物学 基因 无机化学
热门帖子
关注 科研通微信公众号,转发送积分 6411746
求助须知:如何正确求助?哪些是违规求助? 8230862
关于积分的说明 17468342
捐赠科研通 5464400
什么是DOI,文献DOI怎么找? 2887288
邀请新用户注册赠送积分活动 1864059
关于科研通互助平台的介绍 1702794