Planning for a Successful Corporate Wiki

Lykourentzou, Ioanna; Djaghloul, Younès; Papadaki, Katerina; Dagka, Foteini; Latour, Thibaud

doi:10.1007/978-3-642-22603-8_38

Cited by 7 publications

(6 citation statements)

References 34 publications

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“…Wiki stakeholders should envision a starting point in order to promote initial participation. The paralysis of facing an empty wiki and the lack of explicit statements about the wiki's purpose might prevent grassroot initiatives from 'getting off' the ground (Lykourentzou, Djaghloul, et al 2011). This also applies to refactoring efforts.…”

Section: Scenario 1: Wiki Initialisationmentioning

confidence: 98%

Refactoring affordances in corporate wikis: a case for the use of mind maps

Puente

Díaz

Azanza

2013

Enterprise Information Systems

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The organisation of corporate wikis tends to deteriorate as time goes by. Rearranging categories, structuring articles and even moving sections among articles are cumbersome tasks in current wiki engines. This discourages the layman. But, it is the layman who writes the articles, knows the wiki content and detects refactoring opportunities. Our goal is to improve the refactoring affordances of current wiki engines by providing an alternative front-end tuned to refactoring. This is achieved by (1) surfacing the structure of the wiki corpus as a mind map, and (2) conducting refactoring as mind map reshaping. To this end, we introduce WikiWhirl, a domain-specific language for wiki refactoring. WikiWhirl is supported as an extension of FreeMind, a popular mind mapping tool. In this way, refactoring operations are intuitively conducted as actions upon mind map nodes. In a refactoring session a user imports the wiki structure as a FreeMind map; next, conducts the refactoring operations on the map, and finally, the effects are saved in the wiki database. The operational semantics of the WikiWhirl operations follow refactoring good practices (e.g., authorship preservation). Results from a controlled experiment suggest that WikiWhirl outperforms MediaWiki in three main affordance enablers: understandability, productivity and fulfillment of refactoring good practices.

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Section: Scenario 1: Wiki Initialisationmentioning

confidence: 98%

Refactoring affordances in corporate wikis: a case for the use of mind maps

Puente

Díaz

Azanza

2013

Enterprise Information Systems

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“…Second, choosing not to direct the conversation towards a specific topic seems appropriate so as to not confound the results of this exploratory study, but rather to allow all possible discussion patterns emerge and possibly help us refine future implementations of the process. Keeping in mind however that people may feel reluctant contributing totally from scratch (a phenomenon observed in other cases of collaboration like wikis [6]), we do provide them with each other's slogans and an openended hint of combining them, to serve as the discussion starting point. As soon as the discussion time is up, both workers are simultaneously asked to rate each other.…”

Section: Batchmentioning

confidence: 99%

Team Dating

Lykourentzou

Wang

Kraut

et al. 2016

Proceedings of the 2016 CHI Conference Extended Abstracts on Human Factors in Computing Systems

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Online crowds have the potential to do more complex work in teams, rather than as individuals. However, at such a large scale, team formation can be difficult to coordinate. (How) can we rely on the crowd itself to organize into effective teams? Our research explores a strategy for "team dating", a self-organized crowd team formation approach where workers try out and rate different candidate partners. In two online experiments, we find that team dating affects the way that people select partners and how they evaluate them. We use these results to draw useful conclusions for the future of team dating and its implications for collaborative crowdsourcing.

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“…Planning for a Successful Corporate Wiki [15]. Based on 30 case studies, this work aims to identify the key factors that affect the success of a corporate wiki.…”

Section: The Need For Wiki Scaffoldingmentioning

confidence: 99%