Yilong Han

Dr. Yilong Han

Department of Construction Management and Real Estate, School of Economics and Management, Tongji University, Shanghai, China
orcid

Research Focus & Metrics

Academic Career Length

9Years (2018-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 January 2021 in Journal of Cleaner Production
Verified
Journal Article
Closed access
Yilong HanYilong Han
Yilong Han
ZYZhihan Yang
Zhihan Yang
TDTao Ding
Tao Ding
JXJianzhuang Xiao
Jianzhuang Xiao

1 July 2019 in Journal of Management in Engineering
Verified
Journal Article
Closed access
YLYongkui Li
Yongkui Li
Yujie LuYujie Lu
Yujie Lu
QCQingbin Cui
Qingbin Cui
Yilong HanYilong Han
Yilong Han
Megaprojects exert substantial influence on economics, society, and the environment on a global scale. Current theory-building research in the megaproject field mainly focuses on three perspectives—the socioeconomic system, systems engineering and project management, and complex organization and governance. Despite realizing the importance of megaprojects, we still lack a deep understanding of megaproject management and related organizational issues. Adopting organizational behavior (OB) theory as a point of departure, this study first reviewed the classic OB theory and current OB research status systematically. The classic OB theory was then introduced to the context of megaprojects in an attempt to build a theoretical framework of OB in megaprojects through bibliometric analysis and an integrative review approach. A multilevel framework across individual, group, project, and organizational fields was elaborated for OB research in the megaproject field, and based on the framework developed, future research directions in this research area were proposed and discussed. This research not only bridges the research gap in megaproject management from a new perspective, but also contributes to the enrichment and development of the classic OB theory in a new context.

1 May 2019 in Journal of Management in Engineering
Verified
Journal Article
Closed access
YLYongkui Li
Yongkui Li
Yilong HanYilong Han
Yilong Han
MLMingxian Luo
Mingxian Luo
YZYan Zhang
Yan Zhang

1 June 2018 in Journal of Construction Engineering and Management
Verified
Journal Article
Closed access
Yilong HanYilong Han
Yilong Han
Yongkui LiYongkui Li
Yongkui Li
JTJohn E. Taylor
John E. Taylor
JZJia Zhong
Jia Zhong
As the scale and complexity of capital projects continue to increase, so do collaboration requirements among owners, engineers, architects, contractors, and other stakeholders in the project lifecycle. These organizational network challenges can impede successful project delivery. Innovation is a key factor in executing complex projects that require expertise from each party in a collaboration network. Unlike in many other industries, collaborations in architecture, engineering, and construction (AEC) project networks are typically temporary and require periods of intense collaboration. In an effort to understand the characteristics and evolutionary paths of innovative collaboration networks in the AEC industry, the authors collected data on more than 200 projects over a 15-year period (2000–2014) that were awarded the State Science and Technology Advancement Prize (SSTAP) of China and examine each of these as innovation collaboration cases. Social network analysis (SNA) techniques are used to understand the network characteristics and to examine the evolutionary patterns over time. The results find the studied innovative collaboration networks to be large and interwoven. Universities, with significantly greater betweenness centralities, serve as key network nodes in spreading creativity and promoting practical–theoretical integrations. This study also reveals that fewer repeated collaborations lead to more innovativeness. In other words, repeated collaborations may have a negative impact on novel and challenging AEC projects. Understanding such characteristics could promote innovations in the AEC industry and aid in the selection of strategic partners to participate in the execution of large and complex AEC projects more efficiently and effectively.

10 September 2020 in Applied Sciences
Verified
Journal Article
Open access
PDF file
XWXuetong WANG
Xuetong WANG
SWShuiling Wang
Shuiling Wang
XSXiangnan Song
Xiangnan Song
Yilong HanYilong Han
Yilong Han
At present, the low degree of informatization in the construction industry chain is one of the prominent problems impeding the application efficiency of prefabrication. To break through the bottleneck of information integration and interaction in the construction process of prefabricated buildings, this paper proposes a conceptual framework of an Intelligent Construction System for Prefabricated Buildings based on the Internet of Things (ICSPB-IoT) according to the needs of government supervision departments, contractors and owners. Then this paper describes the formation of the “information network” from “information flow”, based on which the operating mechanism of the ICSPB-IoT is discussed using the method of system engineering analysis. Finally, the proposed ICSPB-IoT is graded into different implementation levels according to the degree of intelligence of the Internet of Things information, and the implementation path is proposed for construction enterprises with different levels of digitalization. The results show that the ICSPB-IoT provides cross-phase, cross-organizational information interaction for government supervision departments, contractors and owners to improve the efficiency of communication and collaboration between them. This paper also provides decision-making support for the design, layout and implementation of the Internet of Things for prefabrication construction enterprises.

1 March 2020 in Journal of Management in Engineering
Verified
Journal Article
Closed access
GWGe Wang
Ge Wang
HZHuijin Zhang
Huijin Zhang
Bo XiaBo Xia
Bo Xia
GWGuangdong Wu
Guangdong Wu
Yilong HanYilong Han
Yilong Han
Since the financial crisis in 2008, the international construction market has shown a relatively weak state of development. Along with China’s “Belt and Road Initiative,” an increasing number of Chinese construction firms have swarmed to explore the global market and expect to improve their financial performance via internationalization. However, few studies have addressed how and to what extent the internationalization strategy contributes to financial performance. This paper therefore proposes three sets of assumptions on this issue and establishes four regression models. Through multiple regression analysis of 32 Chinese construction firms listed in the Engineering News-Record (ENR) during the 2010–2017 period, the study described here explored the relationship between a construction firm’s degree of internationalization and its financial performance as well as the moderating effect of business diversification and three types of macroenvironmental risk. The results reveal that (1) there is a U -shaped relationship between degree of internationalization of construction firms and their financial performance—when the degree of internationalization is less than 52%, the relationship is negative and when it is greater than 52%, the relationship is positive; (2) business diversification acts as a positive moderator in the relationship between internationalization and financial performance; and (3) both economic risks and social risks play a positive moderating role in the relationship between internationalization and financial performance, whereas financial risks play a negative moderating role. This study contributes to the engineering management literature not only by broadening understanding of how internationalization strategy influences financial performance but also by guiding business layout and risk management during the internationalization process. The findings of this study are limited to the sample data from a single country (i.e., China). Similar research might be conducted in the future using sample data from different countries for comparative analysis to draw more generalizable and meaningful conclusions.