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The sustainability of corporate wikis: A time-series analysis of activity patterns

The sustainability of corporate wikis: A time-series analysis of activity patterns The Sustainability of Corporate Wikis: A Time-Series Analysis of Activity Patterns OFER ARAZY and ARIE CROITORU University of Alberta While existing theoretical frameworks describe collective technology adoption patterns, they provide little insight regarding the expected patterns of wiki activity within projects. Another impediment to the study of wiki sustainability is the absence of time-series analysis methods that are suitable for the unique patterns of wiki activity logs. The primary goals of this study are to: (i) develop a novel method for analyzing wiki edit activity logs, (ii) reveal the temporal patterns of corporate wiki edit activity, and (iii) study the factors impacting wikis ™ sustainability. A validation of our proposed method demonstrates that it is superior to the baseline algorithm in the face of noisy data. Our empirical study combines wiki system edit activity logs with a survey of users ™ perceptions, and explores 33277 distinct wiki applications within one global organization over the rst 5 years of wiki operation. Our results reveal six different prototypical wiki activity patterns, and show that most corporate wikis become inactive after a relatively short period. Findings from the user survey show that users of sustainable wikis are more satis ed with http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png ACM Transactions on Management Information Systems (TMIS) Association for Computing Machinery

The sustainability of corporate wikis: A time-series analysis of activity patterns

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Publisher
Association for Computing Machinery
Copyright
Copyright © 2010 by ACM Inc.
ISSN
2158-656X
DOI
10.1145/1877725.1877731
Publisher site
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Abstract

The Sustainability of Corporate Wikis: A Time-Series Analysis of Activity Patterns OFER ARAZY and ARIE CROITORU University of Alberta While existing theoretical frameworks describe collective technology adoption patterns, they provide little insight regarding the expected patterns of wiki activity within projects. Another impediment to the study of wiki sustainability is the absence of time-series analysis methods that are suitable for the unique patterns of wiki activity logs. The primary goals of this study are to: (i) develop a novel method for analyzing wiki edit activity logs, (ii) reveal the temporal patterns of corporate wiki edit activity, and (iii) study the factors impacting wikis ™ sustainability. A validation of our proposed method demonstrates that it is superior to the baseline algorithm in the face of noisy data. Our empirical study combines wiki system edit activity logs with a survey of users ™ perceptions, and explores 33277 distinct wiki applications within one global organization over the rst 5 years of wiki operation. Our results reveal six different prototypical wiki activity patterns, and show that most corporate wikis become inactive after a relatively short period. Findings from the user survey show that users of sustainable wikis are more satis ed with

Journal

ACM Transactions on Management Information Systems (TMIS) – Association for Computing Machinery

Published: Dec 1, 2010

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