scholarly journals Review of research trend in international construction projects: a bibliometric analysis

2016 ◽  
Vol 16 (2) ◽  
pp. 71-82 ◽  
Author(s):  
Wahyudi P Utama ◽  
Albert P.C. Chan ◽  
Hafiz Zahoor ◽  
Ran Gao
Keyword(s):  
Bibliometric Analysis ◽  
Construction Management ◽  
Research Funding ◽  
Construction Projects ◽  
Document Retrieval ◽  
Research Trend ◽  
Research Development ◽  
Upward Trend ◽  
Retrieval Method ◽  
International Construction

This paper presents the latest research development in international construction project (ICP) domain from 1995 to 2014 as revealed in the construction management related journals. A systematic document retrieval method was employed to collect relevant articles. The identified papers were analyzed by using bibliometric analysis comprising the investigation of the number of publication, the main originators of the research contributions, their affiliations, the most cited papers, and the sources of research funding as well as the research methods used. Ninety-eight relevant articles obtained from 12 major journals associated with construction management studies were successfully assessed. The results show an upward trend with some fluctuations during the period and the bibliometric information of ICP studies was successfully presented.  

The Research and Application in Intelligent Document Retrieval Based on Text Quantification and Subject Mapping

2012 ◽  
Vol 605-607 ◽  
pp. 2561-2568
Author(s):  
Qin Wang ◽  
Shou Ning Qu ◽  
Tao Du ◽  
Ming Jing Zhang
Keyword(s):  
Association Rule ◽  
Document Retrieval ◽  
Retrieval Method ◽  
Feature Extraction Method ◽  
Quantification Method ◽  
Academic Exchange ◽  
Similarity Calculation ◽  
Five Elements ◽  
Mapping Scheme ◽  
Text Element

Nowadays, document retrieval was an important way of academic exchange and achieving new knowledge. Choosing corresponding category of database and matching the input key words was the traditional document retrieval method. Using the method, a mass of documents would be got and it was hard for users to find the most relevant document. The paper put forward text quantification method. That was mining the features of each element in some document, which including word concept, weight value for position function, improved weights characteristic value, text distribution function weights value and text element length. Then the word’ contributions to this document would be got from the combination of five elements characteristics. Every document in database was stored digitally by the contribution of elements. And a subject mapping scheme was designed in the paper, which the similarity calculation method based on contribution and association rule was firstly designed, according to the method, the documents in the database would be conducted text clustering, and then feature extraction method was used to find class subject. When searching some document, the description which users input would be quantified and mapped to some class automatically by subject mapping, then the document sequences would be retrieved by computing the similarity between the description and the other documents’ features in the class. Experiment shows that the scheme has many merits such as intelligence, accuracy as well as improving retrieval speed.

Bibliometric analysis of twenty-year research trend in desalination technologies during 2000-2020

2021 ◽  
Vol 35 (1) ◽  
pp. 39-52
Author(s):  
Gyeonghun Lee ◽  
◽  
Hye-Won Kim ◽  
Chanhee Boo ◽  
Youngbin Beak ◽  
...  
Keyword(s):  
Bibliometric Analysis ◽  
Research Trend

Pivot-RP

2021 ◽  
Vol 23 (2) ◽  
pp. 23-29
Author(s):  
Ellie Dworak ◽  
née Laura Suzanne Hudson
Keyword(s):  
Research Funding ◽  
Research Development ◽  
Research Collaborations ◽  
Development Professionals ◽  
Funding Opportunities ◽  
Insight Into

Pivot-RP is a source of research funding opportunities, facilitating research collaborations, and offering insight into the funding landscape as well as internal benchmarks. Pivot-RP addresses the needs of researchers and research development professionals alike.

scholarly journals FUZZY MULTI-CRITERIA DECISION MAKING MODEL FOR SUBCONTRACTOR SELECTION IN INTERNATIONAL CONSTRUCTION PROJECTS

2015 ◽  
Vol 22 (2) ◽  
pp. 210-234 ◽  
Author(s):  
Serdar ULUBEYLI ◽  
Aynur KAZAZ
Keyword(s):  
Construction Projects ◽  
Decision Criterion ◽  
Practical Application ◽  
Human Judgment ◽  
Qualitative And Quantitative ◽  
International Construction ◽  
Weak Points ◽  
Initial Idea ◽  
Decision Making Model ◽  
Selection Of

A general contractor’s ability to select proper subcontractors in foreign projects is a key competitive advantage. Toward this aim, a subcontractor selection model (CoSMo) was developed in this study. As a computational approach, the fuzzy sets method was employed because it can model human judgment by means of linguistic values, combining qualitative and quantitative decision criteria into an aggregate measure. Although the algorithm may be complex for easy acceptance by industrial practitioners, this disadvantage was minimized through a computer-supported system. In order to gain a better understanding of the current practice of CoSMo, a real world construction project was conducted. As a result, it was observed that CoSMo has high practical application and can be used as an advisory system by satisfying principal contractor’s requirements to reduce the risk involved in the selection of a subcontractor. Moreover, it gives an initial idea of how subcontractors perform on each decision criterion and allows the main contractor to understand the picture on the strong and weak points of each bidder and thereby to take conscious decisions.

scholarly journals SIMILARITY ASSESSMENT OF COUNTRIES TO FACILITATE LEARNING FROM INTERNATIONAL CONSTRUCTION PROJECTS

2017 ◽  
Vol 4 (1) ◽  
Author(s):  
Beste Ozyurt ◽  
Gozde Bilgin ◽  
Irem Dikmen ◽  
M. Talat Birgonul
Keyword(s):  
Construction Projects ◽  
Online Questionnaire ◽  
Political Condition ◽  
Similarity Assessment ◽  
International Construction ◽  
Related Information ◽  
Financial Condition ◽  
Governance Systems ◽  
Construction Experience ◽  
The Right

Companies’ ability to learn from projects is a source of competitive advantage in project-based industries. Learning from experiences in international markets is particularly important for global contractors so that the right bidding strategy can be developed, effective project governance systems can be established, and similar mistakes are not repeated. In this study, we assert that countries can be clustered according to their similarity so that experiences gained in these markets can be transferred and adapted to forthcoming projects. Thus, similarity factors to be used for clustering of countries can be identified, and a methodology can be developed to store, retrieve and reuse country-related information in international construction projects. In this paper, we report the factors identified for similarity assessment of countries to be used to facilitate learning from projects. As a result of literature review, interviews with experts and an online questionnaire administered to company professionals who have international construction experience, 12 factors have been identified for clustering of countries. As a result of ranking analysis; factors of “development level of and culture in the construction industry”, “political condition of the country” and “financial condition of the country” are obtained as the most important factors. The identified factors will be explained and how the clustering of countries can help companies to extract valuable information from previous experiences will be discussed.

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