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Stuart D. Green

Researcher at University of Reading

Publications -  108
Citations -  3055

Stuart D. Green is an academic researcher from University of Reading. The author has contributed to research in topics: Context (language use) & Value (mathematics). The author has an hindex of 31, co-authored 108 publications receiving 2892 citations.

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Knowledge sharing: context, confusion and controversy

TL;DR: In this article, the authors argue that knowledge is highly individualistic and concomitant with the various surrounding contexts within which it is shaped and enacted, and that these contexts are also shaped as a consequence of knowledge adding further complexity to the problem domain.
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Lean construction : arenas of enactment, models of diffusion and the meaning of 'leanness'

TL;DR: In this paper, an alternative perspective is developed that considers the diffusion of lean construction across contested pluralistic arenas, where different actors mobilize different storylines to suit their own localized political agendas.
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The missing arguments of lean construction

TL;DR: The emerging concept of lean construction is concerned with the application of lean thinking to the construction industry as discussed by the authors, and the current debate is based on a highly selective interpretation of the available literature, which equates the Japanese model of lean production with technocratic totalitarianism.
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Making sense of supply chain management: a comparative study of aerospace and construction

TL;DR: In this article, the authors compare the aerospace and construction sectors on the basis that they are so different, and find that supply chain management is more established in aerospace than construction, and that the introduction of prime contracting and the increasing use of framework agreements within the construction sector potentially provide a much more supportive climate for supply-chain management than has traditionally prevailed.
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Beyond value engineering: smart value management for building projects

TL;DR: In this article, the authors distinguish between value management and value engineering on the basis of their underlying assumptions, and introduce smart value management as the means by which these ends can be achieved.