Investigating engineer’s actual usage intention to apply construction technologies in emerging countries

Bashir, Amir; Kıvrak, Serkan

doi:10.21595/jme.2020.21167

Cited by 2 publications

(1 citation statement)

References 20 publications

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“…It is a key determinant of predicting technology adoption and related to technical complexity, specific operations and organization readiness (Venkatesh and Davis, 2000). Since construction technology decision-making has to consider ease of use, PEU should influence the adoption intention (Bashir and Kivrak, 2020; Rodr ıguez-Esp ındola et al, 2022), especially as HOSCLTs have higher implementation complexity, emphasizing this relationship which was neglected in previous research (Yuan et al, 2021;Shin et al, 2022).…”

Section: Adoption Of Hosclts In Constructionmentioning

confidence: 99%

Understanding adoption of high off-site construction level technologies in construction based on the TAM and TTF

Cai

Dou

et al. 2022

ECAM

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PurposeOff-site construction (OSC) has been regarded as a clean and efficient production approach to help the construction industry towards sustainability. Different levels of OSC technologies vary greatly in their implementations and adoptions. Compared to low OSC level technologies have been applied widely, the adoption of high OSC level technologies (HOSCLTs) in practice remains limited. The adoption mechanism for HOSCLTs by firms has not been clear, hindering their promotion. This study aims to explore the mechanism combining subjective and objective adoption for HOSCLTs.Design/methodology/approachThis study developed an integrated model illustrating mechanism for HOSCLTs adoption based on the technology acceptance model (TAM), which has strong capacity to explain potential adopters' subjective intentions to adoption, and the task-technology fit (TTF) theory, which well describes the linkages between the task, technology and performance in technology adoption. The proposed model was then empirically evaluated through a survey of 232 practitioners in the Chinese OSC industry using partial least squares structural equation modeling.FindingsThe results indicate that both task characteristics (TAC) and technology characteristics (TEC) positively affect TTF of HOSCLTs. TAC, TTF, firm conditions and stakeholder influence have significant positive effects on perceived usefulness (PU), which further positively influence attitude towards adoption. TEC and firm conditions are significantly related to perceived ease of use (PEU). TTF, PEU and attitude towards adoption are good predictors of behavior intention to HOSCLTs adoption. PEU only significantly influences adoption intention and is not observed to influence attitudes and PU, unlike prior research on common OSC adoption.Originality/valueThis study contributes to the body of knowledge by exploring HOSCLTs adoption in the industry based on distinguishing the levels of OSC technologies and supplementing an integrated model for explaining the mechanism with the combination of subjective and objective adoption. The study also provides useful insights into understanding and promoting HOSCLTs adoption for policy makers and stakeholders actively involved in the OSC field.

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Section: Adoption Of Hosclts In Constructionmentioning

confidence: 99%

Understanding adoption of high off-site construction level technologies in construction based on the TAM and TTF

Cai

Dou

et al. 2022

ECAM

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Construction Industry 4.0 and Sustainability: An Enabling Framework

Balasubramanian

Shukla

Islam

et al. 2024

IEEE Trans. Eng. Manage.

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Governments worldwide are taking actions to address the construction sector's sustainability concerns, including high carbon emissions, health and safety risks, low productivity, and increasing costs. Applying Industry 4.0 technologies to construction (also referred to as Construction 4.0) could address some of these concerns. However, current understanding about this is quite limited, with previous work being largely fragmented and limited both in terms of technologies as well as their interrelationships with the triple bottom line of sustainability perspectives. The focus of this study is therefore on addressing these gaps by i) proposing a comprehensive multidimensional Construction 4.0 sustainability framework that identifies and categorizes the key Construction 4.0 technologies and their positive and negative impacts on environmental, economic, and social sustainability, and then ii) establishing its applicability/usefulness through an empirical, multi-methodology case study assessment of the UAE's construction sector. The findings indicate Construction 4.0's positive impacts on environmental and economic sustainability far outweigh its negative effects, though these impacts are comparable with regards to social sustainability. On Construction 4.0 technologies itself, their application was found to be non-uniform, with greater application seen for building information modeling and automation vis-à-vis others such as cyber-physical systems and smart materials, with significant growth expected in the future for blockchain-and 3D-printing-related technologies. The proposed novel framework could enable the development of policy interventions and support mechanisms to increase Construction 4.0 deployment while addressing its negative sustainability-related impacts. The framework also has the potential to be adapted and applied to other country and sectoral contexts.

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Investigating engineer’s actual usage intention to apply construction technologies in emerging countries

Cited by 2 publications

References 20 publications

Understanding adoption of high off-site construction level technologies in construction based on the TAM and TTF

Understanding adoption of high off-site construction level technologies in construction based on the TAM and TTF

Construction Industry 4.0 and Sustainability: An Enabling Framework

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