Search (4 results, page 1 of 1)

  • × author_ss:"Li, X."
  • × language_ss:"e"
  • × 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) 0.02 
    0.023002189 = sum of:
  0.008464354 = product of:
    0.050786123 = sum of:
      0.050786123 = weight(_text_:authors in 3574) [ClassicSimilarity], result of:
        0.050786123 = score(doc=3574,freq=2.0), product of:
          0.20165925 = queryWeight, product of:
            4.558814 = idf(docFreq=1258, maxDocs=44218)
            0.044235025 = queryNorm
          0.25184128 = fieldWeight in 3574, product of:
            1.4142135 = tf(freq=2.0), with freq of:
              2.0 = termFreq=2.0
            4.558814 = idf(docFreq=1258, maxDocs=44218)
            0.0390625 = fieldNorm(doc=3574)
    0.16666667 = coord(1/6)
  0.014537834 = product of:
    0.029075667 = sum of:
      0.029075667 = weight(_text_:c in 3574) [ClassicSimilarity], result of:
        0.029075667 = score(doc=3574,freq=2.0), product of:
          0.15258452 = queryWeight, product of:
            3.4494052 = idf(docFreq=3817, maxDocs=44218)
            0.044235025 = queryNorm
          0.1905545 = fieldWeight in 3574, product of:
            1.4142135 = tf(freq=2.0), with freq of:
              2.0 = termFreq=2.0
            3.4494052 = idf(docFreq=3817, maxDocs=44218)
            0.0390625 = fieldNorm(doc=3574)
    0.5 = coord(1/2)
    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.
  2. Li, X.; Thelwall, M.; Kousha, K.: ¬The role of arXiv, RePEc, SSRN and PMC in formal scholarly communication (2015) 0.01 
    0.007491544 = product of:
  0.014983088 = sum of:
    0.014983088 = product of:
      0.029966176 = sum of:
        0.029966176 = weight(_text_:22 in 2593) [ClassicSimilarity], result of:
          0.029966176 = score(doc=2593,freq=2.0), product of:
            0.15490352 = queryWeight, product of:
              3.5018296 = idf(docFreq=3622, maxDocs=44218)
              0.044235025 = queryNorm
            0.19345059 = fieldWeight in 2593, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              3.5018296 = idf(docFreq=3622, maxDocs=44218)
              0.0390625 = fieldNorm(doc=2593)
      0.5 = coord(1/2)
  0.5 = coord(1/2)
    Date
    20. 1.2015 18:30:22
  3. Su, S.; Li, X.; Cheng, X.; Sun, C.: Location-aware targeted influence maximization in social networks (2018) 0.01 
    0.007268917 = product of:
  0.014537834 = sum of:
    0.014537834 = product of:
      0.029075667 = sum of:
        0.029075667 = weight(_text_:c in 4034) [ClassicSimilarity], result of:
          0.029075667 = score(doc=4034,freq=2.0), product of:
            0.15258452 = queryWeight, product of:
              3.4494052 = idf(docFreq=3817, maxDocs=44218)
              0.044235025 = queryNorm
            0.1905545 = fieldWeight in 4034, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              3.4494052 = idf(docFreq=3817, maxDocs=44218)
              0.0390625 = fieldNorm(doc=4034)
      0.5 = coord(1/2)
  0.5 = coord(1/2)
  4. Li, X.; Zhang, A.; Li, C.; Ouyang, J.; Cai, Y.: Exploring coherent topics by topic modeling with term weighting (2018) 0.01 
    0.007268917 = product of:
  0.014537834 = sum of:
    0.014537834 = product of:
      0.029075667 = sum of:
        0.029075667 = weight(_text_:c in 5045) [ClassicSimilarity], result of:
          0.029075667 = score(doc=5045,freq=2.0), product of:
            0.15258452 = queryWeight, product of:
              3.4494052 = idf(docFreq=3817, maxDocs=44218)
              0.044235025 = queryNorm
            0.1905545 = fieldWeight in 5045, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              3.4494052 = idf(docFreq=3817, maxDocs=44218)
              0.0390625 = fieldNorm(doc=5045)
      0.5 = coord(1/2)
  0.5 = coord(1/2)

Authors

Themes