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
3.8787074E-4 = product of:
0.0058180606 = sum of:
0.004409519 = weight(_text_:in in 3574) [ClassicSimilarity], result of:
0.004409519 = score(doc=3574,freq=8.0), product of:
0.029340398 = queryWeight, product of:
1.3602545 = idf(docFreq=30841, maxDocs=44218)
0.021569785 = queryNorm
0.15028831 = fieldWeight in 3574, product of:
2.828427 = tf(freq=8.0), with freq of:
8.0 = termFreq=8.0
1.3602545 = idf(docFreq=30841, maxDocs=44218)
0.0390625 = fieldNorm(doc=3574)
0.0014085418 = weight(_text_:s in 3574) [ClassicSimilarity], result of:
0.0014085418 = score(doc=3574,freq=2.0), product of:
0.023451481 = queryWeight, product of:
1.0872376 = idf(docFreq=40523, maxDocs=44218)
0.021569785 = queryNorm
0.060061958 = fieldWeight in 3574, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
1.0872376 = idf(docFreq=40523, maxDocs=44218)
0.0390625 = fieldNorm(doc=3574)
0.06666667 = coord(2/30)
- 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.
- Source
- Journal of documentation. 73(2017) no.2, S.284-304
