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    Competitive Landscape Analysis of International Construction Industry Using Natural Language Processing 

    Source: Journal of Management in Engineering:;2024:;Volume ( 040 ):;issue: 003:;page 04024004-1
    Author(s): Seungwon Baek; Seung Heon Han
    Publisher: ASCE
    Abstract: This study presents an automated text-based information extraction model for analyzing the competitive landscape of the international construction industry. The proposed model comprises named entity recognition (NER) and ...
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    Automated Identification of Active Players for International Construction Market Entry Using Natural Language Processing 

    Source: Journal of Management in Engineering:;2023:;Volume ( 039 ):;issue: 005:;page 04023025-1
    Author(s): Seungwon Baek; Seung H. Han; Wooyong Jung
    Publisher: ASCE
    Abstract: Studies on the international construction market have been limited to expanding the scope of academics and practices because of data accessibility and timeliness. With the recent advancement of natural language processing ...
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    Social Conflicts in South Korean Public Construction Projects: Insights Using a Large Language Model 

    Source: Journal of Management in Engineering:;2025:;Volume ( 041 ):;issue: 005:;page 04025028-1
    Author(s): Do Namgoong; Seungwon Baek; Jinwoo Won; Seung H. Han
    Publisher: American Society of Civil Engineers
    Abstract: Public construction projects often encounter social conflicts when project complexity increases and diverse stakeholder concerns arise, such as environmental, economic, and route-selection issues. Social conflicts that ...
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