Online Communities, Teams Characteristics, and Knowledge Quality

Amira Rezgui (amira.rezgui@imt-atlantique.fr) and Nicolas Jullien
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Amira Rezgui: LUSSI - Département Logique des Usages, Sciences sociales et Sciences de l'Information - UEB - Université européenne de Bretagne - European University of Brittany - Télécom Bretagne - IMT - Institut Mines-Télécom [Paris], MARSOUIN - Môle Armoricain de Recherche sur la SOciété de l'information et des usages d'INternet - UR - Université de Rennes - UEB - Université européenne de Bretagne - European University of Brittany - UBS - Université de Bretagne Sud - ENSAI - Ecole Nationale de la Statistique et de l'Analyse de l'Information [Bruz] - UBO - Université de Brest - Télécom Bretagne - IMT - Institut Mines-Télécom [Paris] - UR2 - Université de Rennes 2, LEGO - Laboratoire d'Economie et de Gestion de l'Ouest - UBS - Université de Bretagne Sud - UBO - Université de Brest - IMT - Institut Mines-Télécom [Paris] - IBSHS - Institut Brestois des Sciences de l'Homme et de la Société - UBO - Université de Brest - UBL - Université Bretagne Loire - IMT Atlantique - IMT Atlantique - IMT - Institut Mines-Télécom [Paris]

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Abstract: Understanding the characteristics of a "good" team and members diversity affects the outcomes group in a question of growing importance for the organizations, for their competitive advantage relies more and more on innovation, produced by virtual cooperation on knowledge production. In this study, we propose a method to forecast the future quality of an online knowledge production community ­or online epistemic community­ by studying the composition of the group who initiated them (the "core members" of, in this case, an article). First, we set a team building period which is defined as the period of 120 days after article creation in order to construct this "core members" group. Second, we explore the effects on article quality of both group and member diversity. Core members' characteristics are learned from their previous behavior. The analysis is based on the French Wikipedia project. Our results show that the most important attributes of initial core member to have a high quality article are average reputation, diversity's contribution, participation, and group size. We also find no significant effects of experience diversity and reputation during the team building period.

Keywords: Epistemic community; Article quality; Characteristics of the team; Core member; Wikipedia (search for similar items in EconPapers)
Date: 2016-10-03
New Economics Papers: this item is included in nep-cdm and nep-soc
Note: View the original document on HAL open archive server: https://hal.science/hal-01532045v1
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Published in 17th Working Conference on Virtual Enterprises (PRO-VE), Oct 2016, Porto, Portugal. pp.35-47, ⟨10.1007/978-3-319-45390-3_4⟩

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Persistent link: https://EconPapers.repec.org/RePEc:hal:journl:hal-01532045

DOI: 10.1007/978-3-319-45390-3_4

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