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Building the algorithm commons: Who discovered the algorithms that underpin computing in the modern enterprise?
16 references·0 citing·38 second hop
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References

  • 1990Absorptive Capacity: A New Perspective on Learning and Innovation35,597 cited
  • 1954The Pure Theory of Public Expenditure7,498 cited
  • 1962The Economic Implications of Learning by Doing7,200 cited
  • 1971The Economic Implications of Learning by Doing6,605 cited
  • 1974The Sociology of Science: Theoretical and Empirical Investigations4,004 cited
  • 1996Paradox Lost? Firm-Level Evidence on the Returns to Information Systems Spending2,114 cited
  • 1993Science and Engineering Indicators1,631 cited
  • 1992The Search for R&D Spillovers1,454 cited
  • 2012Americans Do IT Better: US Multinationals and the Productivity Miracle1,026 cited
  • 1976Computer Power and Human Reason: From Judgment to Calculation877 cited
  • 2006The World Distribution of Income: Falling Poverty and ... Convergence, Period817 cited
  • 2003Profiting from voluntary information spillovers: how users benefit by freely revealing their innovations792 cited
  • 1977Computer Power and Human Reason: From Judgement to Calculation.722 cited
  • 2011Reverse innovation, emerging markets, and global strategy694 cited
  • 2019Upgrading strategies for the digital economy539 cited

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  • 2018Who Becomes an Inventor in America? The Importance of Exposure to Innovation*499 cited
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