TY - JOUR
T1 - Extended technology acceptance model to explain the mechanism of modular construction adoption
AU - Shin, Jiwoong
AU - Moon, Sungwoo
AU - Cho, Bong ho
AU - Hwang, Sungjoo
AU - Choi, Byungjoo
N1 - Funding Information:
This research was supported by grant no. 21RERP-B082884-08 from the Housing Environment Research Program funded by the Ministry of Land, Infrastructure and Transport of the Korean government .
Publisher Copyright:
© 2022 Elsevier Ltd
PY - 2022/3/15
Y1 - 2022/3/15
N2 - Introduction: While it is highly expected that modular construction can overcome the limitations of conventional construction methods, modular construction use in the field is currently insufficient. Previous studies have attempted to analyze what hinders the use of modular technology and find alternative solutions, but most studies have limitations in that it is difficult to explain the mechanisms of users' modular technology adoption in detail. Thus, the purpose of this study is to investigate the mechanisms of modular construction adoption using a technology acceptance model to overcome previous studies’ limitations. Method: Empirical survey data from 208 construction experts were collected to test research hypotheses in the research model of modular construction adoption. The collected data were analyzed using a two-step approach (i.e., CFA, SEM). Results: It was found that Outcome Expectation (OE), Institutional Barrier (IB), and Private Interests (PI) affected Attitude (ATT) and Behavioral Intention (BI) with the users’ Perceived Usefulness (PU) and Perceived Ease of Use (PEOU) acting as mediating variables. Among these, PI was found to have the greatest impact on technology adoption and IB had a negative impact on both PU and ATT, indicating an urgent need for improvements in public policies relating to current modular construction use. Applications: The results of this study permit a detailed explanation of the modular construction adoption mechanism. Furthermore, the results can provide practical assistance and advice when developing various measures for stimulating the use of modular construction technology.
AB - Introduction: While it is highly expected that modular construction can overcome the limitations of conventional construction methods, modular construction use in the field is currently insufficient. Previous studies have attempted to analyze what hinders the use of modular technology and find alternative solutions, but most studies have limitations in that it is difficult to explain the mechanisms of users' modular technology adoption in detail. Thus, the purpose of this study is to investigate the mechanisms of modular construction adoption using a technology acceptance model to overcome previous studies’ limitations. Method: Empirical survey data from 208 construction experts were collected to test research hypotheses in the research model of modular construction adoption. The collected data were analyzed using a two-step approach (i.e., CFA, SEM). Results: It was found that Outcome Expectation (OE), Institutional Barrier (IB), and Private Interests (PI) affected Attitude (ATT) and Behavioral Intention (BI) with the users’ Perceived Usefulness (PU) and Perceived Ease of Use (PEOU) acting as mediating variables. Among these, PI was found to have the greatest impact on technology adoption and IB had a negative impact on both PU and ATT, indicating an urgent need for improvements in public policies relating to current modular construction use. Applications: The results of this study permit a detailed explanation of the modular construction adoption mechanism. Furthermore, the results can provide practical assistance and advice when developing various measures for stimulating the use of modular construction technology.
KW - Institutional barrier
KW - Modular construction
KW - Modular construction adoption
KW - Outcome expectation
KW - Private interests
KW - Structural equation modeling
KW - Technology acceptance model
UR - http://www.scopus.com/inward/record.url?scp=85124707481&partnerID=8YFLogxK
U2 - 10.1016/j.jclepro.2022.130963
DO - 10.1016/j.jclepro.2022.130963
M3 - Article
AN - SCOPUS:85124707481
SN - 0959-6526
VL - 342
JO - Journal of Cleaner Production
JF - Journal of Cleaner Production
M1 - 130963
ER -