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  • × author_ss:"Cox, A."
  • × year_i:[2010 TO 2020}
  1. Li, X.; Cox, A.; Ford, N.; Creaser, C.; Fry, J.; Willett, P.: Knowledge construction by users : a content analysis framework and a knowledge construction process model for virtual product user communities (2017) 0.00 
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    Abstract
    Purpose The purpose of this paper 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 and qualitative content analysis of discussion threads about solving technical problems selected from a series of virtual product user communities. Data are complemented with thematic analysis of interviews with forum members. Findings The 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 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 organized 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.
    Type
    a
  2. Cox, A.; Clough, P.; Siersdorfer, S.: Developing metrics to characterize Flickr groups (2011) 0.00 
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    Abstract
    Flickr, the large-scale online photo sharing website, is often viewed as one of the 'classic' examples of Web2.0 applications through which researchers are able to observe the social behavior of online communities. One of the main features of Flickr is groups. These provide a means to organize, share and discuss photos of potential interest to group members. This paper explores the scale of group creation on Flickr and proposes a new set of metrics for characterizing groups on Flickr looking at aspects of membership, communication activity, and communication structure. Data collected from a sample of 1.000 groups was used to confirm the metrics and provide new insights into group formation in Flickr, such as the nature of larger and smaller groups. The contributions of the article are as follows: a set of metrics for characterizing online groups that extend existing schemes; an approach for sampling Flickr to estimate the number of groups; new insights into Flickr groups based on results from analyzing 1.000 randomly selected groups; and reflections on our experiences with using publicly accessible, automatically collected data to characterize the types of groups on Flickr.
    Type
    a

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