Analyzing organizational routines in online knowledge collaborations: A case for sequence analysis in CSCW

Brian C. Keegan; Shakked Lev; Ofer Arazy

doi:10.1145/2818048.2819962

Analyzing organizational routines in online knowledge collaborations: A case for sequence analysis in CSCW

Brian C. Keegan, Shakked Lev, Ofer Arazy

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

Research into socio-technical systems like Wikipedia has overlooked important structural patterns in the coordination of distributed work. This paper argues for a conceptual reorientation towards sequences as a fundamental unit of analysis for understanding work routines in online knowledge collaboration. We outline a research agenda for researchers in computer-supported cooperative work (CSCW) to understand the relationships, patterns, antecedents, and consequences of sequential behavior using methods already developed in fields like bio-informatics. Using a data set of 37,515 revisions from 16,616 unique editors to 96 Wikipedia articles as a case study, we analyze the prevalence and significance of different sequences of editing patterns. We illustrate the mixed method potential of sequence approaches by interpreting the frequent patterns as general classes of behavioral motifs. We conclude by discussing the methodological opportunities for using sequence analysis for expanding existing approaches to analyzing and theorizing about co-production routines in online knowledge collaboration.

Original language	English
Title of host publication	Proceedings of the 19th ACM Conference on Computer-Supported Cooperative Work and Social Computing, CSCW 2016
Publisher	Association for Computing Machinery
Pages	1065-1079
Number of pages	15
ISBN (Electronic)	9781450335928
DOIs	https://doi.org/10.1145/2818048.2819962
State	Published - 27 Feb 2016
Externally published	Yes
Event	19th ACM Conference on Computer-Supported Cooperative Work and Social Computing, CSCW 2016 - San Francisco, United States Duration: 27 Feb 2016 → 2 Mar 2016

Publication series

Name	Proceedings of the ACM Conference on Computer Supported Cooperative Work, CSCW
Volume	27

Conference

Conference	19th ACM Conference on Computer-Supported Cooperative Work and Social Computing, CSCW 2016
Country/Territory	United States
City	San Francisco
Period	27/02/16 → 2/03/16

Bibliographical note

Publisher Copyright:
© 2016 ACM.

Keywords

Online knowledge collaboration
Organizational practice
Peer production
Routines
Sequence analysis
Socio-technical system
Wikipedia

ASJC Scopus subject areas

Software
Human-Computer Interaction
Computer Networks and Communications

Access to Document

10.1145/2818048.2819962

Cite this

Keegan, B. C., Lev, S., & Arazy, O. (2016). Analyzing organizational routines in online knowledge collaborations: A case for sequence analysis in CSCW. In Proceedings of the 19th ACM Conference on Computer-Supported Cooperative Work and Social Computing, CSCW 2016 (pp. 1065-1079). (Proceedings of the ACM Conference on Computer Supported Cooperative Work, CSCW; Vol. 27). Association for Computing Machinery. https://doi.org/10.1145/2818048.2819962

Keegan, Brian C. ; Lev, Shakked ; Arazy, Ofer. / Analyzing organizational routines in online knowledge collaborations : A case for sequence analysis in CSCW. Proceedings of the 19th ACM Conference on Computer-Supported Cooperative Work and Social Computing, CSCW 2016. Association for Computing Machinery, 2016. pp. 1065-1079 (Proceedings of the ACM Conference on Computer Supported Cooperative Work, CSCW).

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abstract = "Research into socio-technical systems like Wikipedia has overlooked important structural patterns in the coordination of distributed work. This paper argues for a conceptual reorientation towards sequences as a fundamental unit of analysis for understanding work routines in online knowledge collaboration. We outline a research agenda for researchers in computer-supported cooperative work (CSCW) to understand the relationships, patterns, antecedents, and consequences of sequential behavior using methods already developed in fields like bio-informatics. Using a data set of 37,515 revisions from 16,616 unique editors to 96 Wikipedia articles as a case study, we analyze the prevalence and significance of different sequences of editing patterns. We illustrate the mixed method potential of sequence approaches by interpreting the frequent patterns as general classes of behavioral motifs. We conclude by discussing the methodological opportunities for using sequence analysis for expanding existing approaches to analyzing and theorizing about co-production routines in online knowledge collaboration.",

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author = "Keegan, {Brian C.} and Shakked Lev and Ofer Arazy",

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Keegan, BC, Lev, S & Arazy, O 2016, Analyzing organizational routines in online knowledge collaborations: A case for sequence analysis in CSCW. in Proceedings of the 19th ACM Conference on Computer-Supported Cooperative Work and Social Computing, CSCW 2016. Proceedings of the ACM Conference on Computer Supported Cooperative Work, CSCW, vol. 27, Association for Computing Machinery, pp. 1065-1079, 19th ACM Conference on Computer-Supported Cooperative Work and Social Computing, CSCW 2016, San Francisco, United States, 27/02/16. https://doi.org/10.1145/2818048.2819962

Analyzing organizational routines in online knowledge collaborations: A case for sequence analysis in CSCW. / Keegan, Brian C.; Lev, Shakked; Arazy, Ofer.
Proceedings of the 19th ACM Conference on Computer-Supported Cooperative Work and Social Computing, CSCW 2016. Association for Computing Machinery, 2016. p. 1065-1079 (Proceedings of the ACM Conference on Computer Supported Cooperative Work, CSCW; Vol. 27).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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PY - 2016/2/27

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N2 - Research into socio-technical systems like Wikipedia has overlooked important structural patterns in the coordination of distributed work. This paper argues for a conceptual reorientation towards sequences as a fundamental unit of analysis for understanding work routines in online knowledge collaboration. We outline a research agenda for researchers in computer-supported cooperative work (CSCW) to understand the relationships, patterns, antecedents, and consequences of sequential behavior using methods already developed in fields like bio-informatics. Using a data set of 37,515 revisions from 16,616 unique editors to 96 Wikipedia articles as a case study, we analyze the prevalence and significance of different sequences of editing patterns. We illustrate the mixed method potential of sequence approaches by interpreting the frequent patterns as general classes of behavioral motifs. We conclude by discussing the methodological opportunities for using sequence analysis for expanding existing approaches to analyzing and theorizing about co-production routines in online knowledge collaboration.

AB - Research into socio-technical systems like Wikipedia has overlooked important structural patterns in the coordination of distributed work. This paper argues for a conceptual reorientation towards sequences as a fundamental unit of analysis for understanding work routines in online knowledge collaboration. We outline a research agenda for researchers in computer-supported cooperative work (CSCW) to understand the relationships, patterns, antecedents, and consequences of sequential behavior using methods already developed in fields like bio-informatics. Using a data set of 37,515 revisions from 16,616 unique editors to 96 Wikipedia articles as a case study, we analyze the prevalence and significance of different sequences of editing patterns. We illustrate the mixed method potential of sequence approaches by interpreting the frequent patterns as general classes of behavioral motifs. We conclude by discussing the methodological opportunities for using sequence analysis for expanding existing approaches to analyzing and theorizing about co-production routines in online knowledge collaboration.

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Keegan BC, Lev S, Arazy O. Analyzing organizational routines in online knowledge collaborations: A case for sequence analysis in CSCW. In Proceedings of the 19th ACM Conference on Computer-Supported Cooperative Work and Social Computing, CSCW 2016. Association for Computing Machinery. 2016. p. 1065-1079. (Proceedings of the ACM Conference on Computer Supported Cooperative Work, CSCW). doi: 10.1145/2818048.2819962

Analyzing organizational routines in online knowledge collaborations: A case for sequence analysis in CSCW

Abstract

Publication series

Conference

Bibliographical note

Keywords

ASJC Scopus subject areas

Access to Document

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Cite this