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Exploring tradeoffs in the organization of scientific work : collaboration and scientific reward

著者: Michaël Bikard; Fiona E S Murray; Joshua Gans; National Bureau of Economic Research.
出版: Cambridge, Mass. : National Bureau of Economic Research, 2013.
シリーズ: Working paper series (National Bureau of Economic Research), no. 18958.
エディション/フォーマット:   電子書籍 : Document : Englishすべてのエディションとフォーマットを見る
データベース:WorldCat
概要:
When do scientists and other knowledge workers organize into collaborative teams and why do they do so for some projects and not others? At the core of this important organizational choice is, we argue, a tradeoff between the productive efficiency of collaboration and the credit allocation that arises after the completion of collaborative work. In this paper, we explore this tradeoff by developing a model to  続きを読む
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資料の種類: Document, インターネット資料
ドキュメントの種類: インターネットリソース, コンピューターファイル
すべての著者/寄与者: Michaël Bikard; Fiona E S Murray; Joshua Gans; National Bureau of Economic Research.
OCLC No.: 839277608
注記: Title from http://www.nber.org/papers/18958 viewed April 15, 2013.
"April 2013."
物理形態: 1 online resource (38 pages) : illustrations.
シリーズタイトル: Working paper series (National Bureau of Economic Research), no. 18958.
責任者: Michaël Bikard, Fiona E. Murray, Joshua Gans.

概要:

When do scientists and other knowledge workers organize into collaborative teams and why do they do so for some projects and not others? At the core of this important organizational choice is, we argue, a tradeoff between the productive efficiency of collaboration and the credit allocation that arises after the completion of collaborative work. In this paper, we explore this tradeoff by developing a model to structure our understanding of the factors shaping researcher collaborative choices in particular the implicit allocation of credit among participants in scientific projects. We then use the annual research activity of 661 faculty scientists at one institution over a 30-year period to explore the tradeoff between collaboration and reward at the individual faculty level and to infer critical parameters in the organization of scientific work.

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