2022
DOI: 10.1080/09613218.2022.2126343
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Diffusion prediction of prefabricated construction technology under multi-factor coupling

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Cited by 7 publications
(4 citation statements)
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References 88 publications
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“…On recent accounts, the underlying growth rate amongst residential projects is estimated at 12%, showing positive trend based on building consent issued (Tookey, 2021) but it is argued that these buildings may not have built. However, the diffusion of PHB technology spans around 48 months to reach the stability with trend of increase then decrease (Li et al ., 2022), somehow, on average the trend is increasing considering multiple technological intervention in HBI.…”
Section: Resultsmentioning
confidence: 99%
“…On recent accounts, the underlying growth rate amongst residential projects is estimated at 12%, showing positive trend based on building consent issued (Tookey, 2021) but it is argued that these buildings may not have built. However, the diffusion of PHB technology spans around 48 months to reach the stability with trend of increase then decrease (Li et al ., 2022), somehow, on average the trend is increasing considering multiple technological intervention in HBI.…”
Section: Resultsmentioning
confidence: 99%
“…Hasan et al (2021) believed that the long-term success of technology implementation and the associated productivity gains depend on the effective use of technology rather than just technology adoption. However, existing studies on PC diffusion neglect intra-organizational diffusion and just focus on the initial adoption or inter-organizational diffusion, without clearly explaining the poor organizational performance after PC adoption in practice (Gan et al, 2019;Li et al, 2021Li et al, , 2022cDou et al, 2020;Cai et al, 2022). Studying the relationship between intraorganizational diffusion of PC technology and organizational performance may help to understand why organizational performance is poor after the adoption of PC technology.…”
Section: Introductionmentioning
confidence: 99%
“…The above studies add to the understanding of improving the breadth of PC technology diffusion and help facilitate the actual diffusion of PC technology across organizations in practice. However, the existing studies on PC technology diffusion fail to explain why quite a few organizations do not get significant improvements in organizational performance from adopting PC technology in practice, as they stated (Yuan et al, 2021;Li et al, 2022c;Chen et al, 2010b;Steinhardt and Manley, 2016). In fact, existing studies just use a 0-1 level dichotomy, which considers the results of PC technology diffusion as simple adoption or non-adoption, ignoring the process of gradual integration with the organization system and acceptance by employees, i.e.…”
Section: Introductionmentioning
confidence: 99%
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