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contributor authorMi Pan
contributor authorWei Pan
date accessioned2019-09-18T10:36:34Z
date available2019-09-18T10:36:34Z
date issued2019
identifier other%28ASCE%29ME.1943-5479.0000706.pdf
identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4259336
description abstractRobotics is an important technological innovation in building prefabrication to fully capitalize on the benefits of off-site construction, but its uptake has been low. This paper explores the determinants affecting the adoption of robotics in building prefabrication, with a focus on precast concrete elements. A qualitative multiple-case-study method was used, with four selected case companies: two precast concrete manufacturers and two robotics suppliers. Data were collected through observation, document analysis, and in-depth interviews, drawing on the technology–organization–environment (TOE) framework. The results reveal that whether a precast concrete manufacturer adopts robotics rests more on the environmental and organizational context than on technological advancements. A framework of nine key determinants is derived, in which the interactions between determinants are manifested and the chain of coupled influence to the adoption decision is mapped. Regulatory environment, compatibility, interconnectedness, and firm size were found to be the most critical determinants because they were the most influential. Strategies are recommended for different stakeholders to facilitate their future adoption and application of robotics, such as increasing governmental support and product standardization, improving technical sophistication and versatility, strategizing market-oriented technology, and strengthening organizational interconnectedness. The findings provide important implications for the future adoption of robotics in precast concrete production for buildings.
publisherAmerican Society of Civil Engineers
titleDeterminants of Adoption of Robotics in Precast Concrete Production for Buildings
typeJournal Paper
journal volume35
journal issue5
journal titleJournal of Management in Engineering
identifier doi10.1061/(ASCE)ME.1943-5479.0000706
page05019007
treeJournal of Management in Engineering:;2019:;Volume ( 035 ):;issue: 005
contenttypeFulltext


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