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    Classifying the Business Model Types of International Construction Contractors 

    Source: Journal of Construction Engineering and Management:;2020:;Volume ( 146 ):;issue: 006
    Author(s): Youjin Jang; Kwonsik Song; Moonseo Park; Yonghan Ahn
    Publisher: ASCE
    Abstract: As the construction business environment becomes increasingly complex and competitive, business model innovation is being accepted as an essential factor in sustaining competitive advantage in the international construction ...
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    Real-Time Fatigue Evaluation Using Ecological Momentary Assessment and Smartwatch Data: An Observational Field Study on Construction Workers 

    Source: Journal of Management in Engineering:;2023:;Volume ( 039 ):;issue: 003:;page 04023008-1
    Author(s): Soyeon Park; Sojeong Seong; Yonghan Ahn; Heejung Kim
    Publisher: American Society of Civil Engineers
    Abstract: Managing the fatigue of construction workers is crucial to productivity, quality of work, and accident risk reduction. However, the current practice for assessing fatigue is limited when applied to construction sites. This ...
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    LDA-Based Model for Assessing the Defect Liability System in Residential Buildings’ Maintenance Phase 

    Source: Journal of Performance of Constructed Facilities:;2020:;Volume ( 034 ):;issue: 002
    Author(s): Sanghyo Lee; Joosung Lee; Yonghan Ahn
    Publisher: ASCE
    Abstract: This study aimed to assess the defect liability system for repairing various defects during residential buildings’ defect liability period using the loss distribution approach (LDA). It examined 6,087 defect cases from 48 ...
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    Estimating Compressive Strength of Concrete Using Deep Convolutional Neural Networks with Digital Microscope Images 

    Source: Journal of Computing in Civil Engineering:;2019:;Volume (033):;issue:003
    Author(s): Youjin Jang;Yonghan Ahn;Ha Young Kim
    Publisher: American Society of Civil Engineers
    Abstract: Compressive strength is a critical indicator of concrete quality for ensuring the safety of existing concrete structures. As an alternative to existing nondestructive testing methods, image-based concrete compressive ...
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    Estimating Compressive Strength of Concrete Using Deep Convolutional Neural Networks with Digital Microscope Images 

    Source: Journal of Computing in Civil Engineering:;2019:;Volume ( 033 ):;issue: 003
    Author(s): Youjin Jang; Yonghan Ahn; Ha Young Kim
    Publisher: American Society of Civil Engineers
    Abstract: Compressive strength is a critical indicator of concrete quality for ensuring the safety of existing concrete structures. As an alternative to existing nondestructive testing methods, image-based concrete compressive ...
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    Post-Handover Defect Risk Profile of Residential Buildings Using Loss Distribution Approach 

    Source: Journal of Management in Engineering:;2020:;Volume ( 036 ):;issue: 004
    Author(s): Joosung Lee; Yonghan Ahn; Sanghyo Lee
    Publisher: ASCE
    Abstract: Managing defect risks is a highly challenging task because various defect characteristics are complexly interconnected under the multiple dimensions of various factors. It is vital to improve the efficiency of defect risk ...
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    International Diversification and Performance of Construction Companies: Moderating Effect of Regional, Product, and Industry Diversifications 

    Source: Journal of Management in Engineering:;2019:;Volume ( 035 ):;issue: 005
    Author(s): Youjin Jang; Nahyun Kwon; Yonghan Ahn; Hyun-Soo Lee; Moonseo Park
    Publisher: American Society of Civil Engineers
    Abstract: In today's competitive and complex construction market, construction companies must expand their business into international markets if they are to survive and remain competitive. To improve our understanding of whether ...
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