The rise and fall of an online project. Is bureaucracy killing efficiency in open knowledge production?

Nicolas Jullien; Kevin Crowston; Felipe Ortega

doi:10.1145/2788993.2789844

The rise and fall of an online project. Is bureaucracy killing efficiency in open knowledge production?

Nicolas Jullien, Kevin Crowston, Felipe Ortega

School of Information Studies

Research output: Chapter in Book/Entry/Poem › Conference contribution

5 Scopus citations

Abstract

We evaluate the efficiency of an online knowledge production project and identify factors that affect efficiency. To assess efficiency, we used the Data Envelopment Analysis (DEA) modelling methodology. We apply DEA to data from more than 30 Wikipedia language projects over three years. We show that the main Wikipedia projects were indeed less efficient that smaller ones, an effect that can be attributed in part to decreasing returns to scale.

Original language	English (US)
Title of host publication	Proceedings of the 11th International Symposium on Open Collaboration, OPENSYM 2015
Publisher	Association for Computing Machinery, Inc
ISBN (Electronic)	9781450336666
DOIs	https://doi.org/10.1145/2788993.2789844
State	Published - Aug 19 2015
Event	11th International Symposium on Open Collaboration, OPENSYM 2015 - San Francisco, United States Duration: Aug 19 2015 → Aug 21 2015

Publication series

Name	Proceedings of the 11th International Symposium on Open Collaboration, OPENSYM 2015

Other

Other	11th International Symposium on Open Collaboration, OPENSYM 2015
Country/Territory	United States
City	San Francisco
Period	8/19/15 → 8/21/15

ASJC Scopus subject areas

Software

Access to Document

10.1145/2788993.2789844

Cite this

Jullien, N., Crowston, K., & Ortega, F. (2015). The rise and fall of an online project. Is bureaucracy killing efficiency in open knowledge production? In Proceedings of the 11th International Symposium on Open Collaboration, OPENSYM 2015 Article a13 (Proceedings of the 11th International Symposium on Open Collaboration, OPENSYM 2015). Association for Computing Machinery, Inc. https://doi.org/10.1145/2788993.2789844

The rise and fall of an online project. Is bureaucracy killing efficiency in open knowledge production? / Jullien, Nicolas; Crowston, Kevin; Ortega, Felipe.
Proceedings of the 11th International Symposium on Open Collaboration, OPENSYM 2015. Association for Computing Machinery, Inc, 2015. a13 (Proceedings of the 11th International Symposium on Open Collaboration, OPENSYM 2015).

Research output: Chapter in Book/Entry/Poem › Conference contribution

Jullien, N, Crowston, K & Ortega, F 2015, The rise and fall of an online project. Is bureaucracy killing efficiency in open knowledge production? in Proceedings of the 11th International Symposium on Open Collaboration, OPENSYM 2015., a13, Proceedings of the 11th International Symposium on Open Collaboration, OPENSYM 2015, Association for Computing Machinery, Inc, 11th International Symposium on Open Collaboration, OPENSYM 2015, San Francisco, United States, 8/19/15. https://doi.org/10.1145/2788993.2789844

Jullien N, Crowston K, Ortega F. The rise and fall of an online project. Is bureaucracy killing efficiency in open knowledge production? In Proceedings of the 11th International Symposium on Open Collaboration, OPENSYM 2015. Association for Computing Machinery, Inc. 2015. a13. (Proceedings of the 11th International Symposium on Open Collaboration, OPENSYM 2015). doi: 10.1145/2788993.2789844

Jullien, Nicolas ; Crowston, Kevin ; Ortega, Felipe. / The rise and fall of an online project. Is bureaucracy killing efficiency in open knowledge production?. Proceedings of the 11th International Symposium on Open Collaboration, OPENSYM 2015. Association for Computing Machinery, Inc, 2015. (Proceedings of the 11th International Symposium on Open Collaboration, OPENSYM 2015).

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title = "The rise and fall of an online project. Is bureaucracy killing efficiency in open knowledge production?",

abstract = "We evaluate the efficiency of an online knowledge production project and identify factors that affect efficiency. To assess efficiency, we used the Data Envelopment Analysis (DEA) modelling methodology. We apply DEA to data from more than 30 Wikipedia language projects over three years. We show that the main Wikipedia projects were indeed less efficient that smaller ones, an effect that can be attributed in part to decreasing returns to scale.",

author = "Nicolas Jullien and Kevin Crowston and Felipe Ortega",

year = "2015",

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day = "19",

doi = "10.1145/2788993.2789844",

language = "English (US)",

series = "Proceedings of the 11th International Symposium on Open Collaboration, OPENSYM 2015",

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booktitle = "Proceedings of the 11th International Symposium on Open Collaboration, OPENSYM 2015",

note = "11th International Symposium on Open Collaboration, OPENSYM 2015 ; Conference date: 19-08-2015 Through 21-08-2015",