Digital Dark Matter and the Economic Contribution of Apache

Shane  Greenstein; Frank  Nagle

Article | Research Policy | May 2014

Digital Dark Matter and the Economic Contribution of Apache

Abstract

Researchers have long hypothesized that research outputs from government, university, and private company R&D contribute to economic growth, but these contributions may be difficult to measure when they take a non-pecuniary form. The growth of networking devices and the Internet in the 1990s and 2000s magnified these challenges, as illustrated by the deployment of the descendent of the NCSA HTTPd server, otherwise known as Apache. This study asks whether this experience could produce measurement issues in standard productivity analysis, specifically, omission and attribution issues, and, if so, whether the magnitude is large enough to matter. The study develops and analyzes a novel data set consisting of a 1% sample of all outward-facing web servers used in the United States. We find that use of Apache potentially accounts for a mismeasurement of somewhere between $2 billion and $12 billion, which equates to between 1.3% and 8.7% of the stock of prepackaged software in private fixed investment in the United States and a very high rate of return to the original federal investment in the Internet. We argue that these findings point to a large potential undercounting of the rate of return from IT spillovers from the invention of the Internet. The findings also suggest a large potential undercounting of "digital dark matter" in general.

Keywords: open source; Apache; Economic measurement; Digital economics; Measurement and Metrics; Open Source Distribution; Internet; Information Technology; Software; Economic Growth; Research and Development; Web Services Industry; Information Technology Industry; United States;

Format: Print

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Citation:

Greenstein, Shane, and Frank Nagle. "Digital Dark Matter and the Economic Contribution of Apache." Research Policy 43, no. 4 (May 2014): 623–631. (Lead Article.)

Working Paper | 2019

The Impact of Professionals' Contributions to Online Knowledge Communities on Their Workplace Knowledge Work

Hila Lifshitz - Assaf and Frank Nagle

Knowledge work is becoming increasingly challenging as pace of change in the knowledge frontier is increasing. Organizations have created multiple mechanisms to minimize knowledge gaps and increase learning such internal training, mentorship programs as well as encouraging their professionals to exchange knowledge outside the boundaries of the organization. Reaching outside the organizational boundaries for knowledge exchange has changed dramatically in the last decade with the rise of online professionals communities. In the case of computer science and software engineering it has become a norm to learn and as questions that used to be kept within the boundaries of the organizations, externally, with a community of external professionals help answer and learn. It is less clear whether contributing to such online communities helps improve professionals’ knowledge work or becomes a competing or distracting force from their work place knowledge work. This is the empiric puzzle our study has set to explore. We conducted a mixed method study combining qualitative data from more than 100 interviews with software professionals with a unique quantitative dataset measuring software professionals’ code productivity in their workplace by the hour/every week for one to two years.

Keywords: open source; future of work; software development; knowledge work; online community; Learning; Knowledge Sharing; Software; Open Source Distribution; Performance Productivity;

Citation:

Lifshitz - Assaf, Hila, and Frank Nagle. "The Impact of Professionals' Contributions to Online Knowledge Communities on Their Workplace Knowledge Work." Working Paper, April 2019. View Details

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Teaching note is meant to accompany Zebra Medical Vision case, which offers a look at a company’s decisions as a small startup competing with other startups and major technology companies. It also demonstrates the challenges faced by a machine learning company working on brand-new technology, including difficulties finding training data, hiring competition, and negotiating FDA approvals and other government regulations. Teaching Note for HBS No. 619-014.

User communities represent a unique organizing structure for the exchange of ideas and knowledge. They are organizations composed primarily of users working collaboratively, voluntarily, and with minimal oversight to freely and openly develop and exchange knowledge around a common artifact. The prevalence of user communities appears to be on the rise, as evidenced by communities across a variety of fields ranging from software to Legos to sports equipment. In this essay, we discuss how firms can benefit from working with user communities––that is, we discuss the opportunities for firms to leverage user communities as a source of open innovation. We theorize the conditions under which user communities will emerge and function and discuss the benefits that user communities can provide and the challenges they can create for firms, thereby illustrating the relevance and import of user communities to firms and the strategic management literature.

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Digital Dark Matter and the Economic Contribution of Apache

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