Li, X., Cox, A.M. orcid.org/0000-0002-2587-245X and Ford, N. (2017) Knowledge Construction by Users: A Content Analysis Framework and A Knowledge Construction Process Model for Virtual Product User Communities. Journal of Documentation, 3 (2). pp. 284-304. ISSN 0022-0418
Abstract
Purpose–The purpose of this study is to develop a content analysis framework and from that derive a process model of knowledge construction in the context of virtual product user communities, organization sponsored online forums where product users collaboratively construct knowledge to solve their technical problems. Design/methodology/approach–The study is based on a deductive, qualitative content analysis of discussion threads about solving technical problems selected from a series of virtual product user communities. This data is complemented with thematic analysis of interviews with forum members. Findings–This research develops a content analysis framework for knowledge construction. It is based on a combination of existing codes derived from frameworks developed for Computer Supported Collaborative Learning (CSCL) and new categories identified from the data. Analysis using this framework allows the authors to propose a knowledge construction process model showing how these elements are organised around a typical “trial-and-error” knowledge construction strategy. Practical Implications–The research makes suggestions about organizations’ management of knowledge activities in virtual product user communities, including moderators’ roles in facilitation. Originality/Value– The paper outlines a new framework for analysing knowledge activities where there is a low level of critical thinking and a model of knowledge construction by trial and error. The new framework and model can be applied in other similar contexts.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © Emerald Publishing Limited 2017. This is an author produced version of a paper subsequently published in Journal of Documentation. Uploaded in accordance with the publisher's self-archiving policy. |
Dates: |
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Institution: | The University of Sheffield |
Academic Units: | The University of Sheffield > Faculty of Social Sciences (Sheffield) > Information School (Sheffield) |
Depositing User: | Symplectic Sheffield |
Date Deposited: | 28 Sep 2016 09:06 |
Last Modified: | 18 Jul 2017 10:01 |
Published Version: | https://doi.org/10.1108/JD-05-2016-0060 |
Status: | Published |
Publisher: | Emerald |
Refereed: | Yes |
Identification Number: | 10.1108/JD-05-2016-0060 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:105120 |