Search (3 results, page 1 of 1)

  • × author_ss:"Qin, C."
  • × author_ss:"Liu, Y."
  1. Qin, C.; Liu, Y.; Mou, J.; Chen, J.: User adoption of a hybrid social tagging approach in an online knowledge community (2019) 0.02
    0.015472822 = product of:
      0.046418466 = sum of:
        0.046418466 = sum of:
          0.016739499 = weight(_text_:of in 5492) [ClassicSimilarity], result of:
            0.016739499 = score(doc=5492,freq=16.0), product of:
              0.06850986 = queryWeight, product of:
                1.5637573 = idf(docFreq=25162, maxDocs=44218)
                0.043811057 = queryNorm
              0.24433708 = fieldWeight in 5492, product of:
                4.0 = tf(freq=16.0), with freq of:
                  16.0 = termFreq=16.0
                1.5637573 = idf(docFreq=25162, maxDocs=44218)
                0.0390625 = fieldNorm(doc=5492)
          0.029678967 = weight(_text_:22 in 5492) [ClassicSimilarity], result of:
            0.029678967 = score(doc=5492,freq=2.0), product of:
              0.15341885 = queryWeight, product of:
                3.5018296 = idf(docFreq=3622, maxDocs=44218)
                0.043811057 = queryNorm
              0.19345059 = fieldWeight in 5492, 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=5492)
      0.33333334 = coord(1/3)
    
    Abstract
    Purpose Online knowledge communities make great contributions to global knowledge sharing and innovation. Resource tagging approaches have been widely adopted in such communities to describe, annotate and organize knowledge resources mainly through users' participation. However, it is unclear what causes the adoption of a particular resource tagging approach. The purpose of this paper is to identify factors that drive users to use a hybrid social tagging approach. Design/methodology/approach Technology acceptance model and social cognitive theory are adopted to support an integrated model proposed in this paper. Zhihu, one of the most popular online knowledge communities in China, is taken as the survey context. A survey was conducted with a questionnaire and collected data were analyzed through structural equation model. Findings A new hybrid social resource tagging approach was refined and described. The empirical results revealed that self-efficacy, perceived usefulness (PU) and perceived ease of use exert positive effect on users' attitude. Moreover, social influence, PU and attitude impact significantly on users' intention to use a hybrid social resource tagging approach. Originality/value Theoretically, this study enriches the type of resource tagging approaches and recognizes factors influencing user adoption to use it. Regarding the practical parts, the results provide online information system providers and designers with referential strategies to improve the performance of the current tagging approaches and promote them.
    Date
    20. 1.2015 18:30:22
    Source
    Aslib journal of information management. 71(2019) no.2, S.155-175
  2. Liu, Y.; Qin, C.; Ma, X.; Liang, H.: Serendipity in human information behavior : a systematic review (2022) 0.00
    0.0031192217 = product of:
      0.009357665 = sum of:
        0.009357665 = product of:
          0.01871533 = sum of:
            0.01871533 = weight(_text_:of in 603) [ClassicSimilarity], result of:
              0.01871533 = score(doc=603,freq=20.0), product of:
                0.06850986 = queryWeight, product of:
                  1.5637573 = idf(docFreq=25162, maxDocs=44218)
                  0.043811057 = queryNorm
                0.27317715 = fieldWeight in 603, product of:
                  4.472136 = tf(freq=20.0), with freq of:
                    20.0 = termFreq=20.0
                  1.5637573 = idf(docFreq=25162, maxDocs=44218)
                  0.0390625 = fieldNorm(doc=603)
          0.5 = coord(1/2)
      0.33333334 = coord(1/3)
    
    Abstract
    Purpose Serendipitous information discovery has become a unique and important approach to discovering and obtaining information, which has aroused a growing interest for serendipity in human information behavior. Despite numerous publications, few have systematically provided an overview of current state of serendipity research. Consequently, researchers and practitioners are less able to make effective use of existing achievements, which limits them from making advancements in this domain. Against this backdrop, we performed a systematic literature review to explore the world of serendipity and to recapitulate the current states of different research topics. Design/methodology/approach Guided by a prior designed review protocol, this paper conducted both automatic and manual search for available studies published from January 1990 to December 2020 on seven databases. A total of 207 serendipity studies closely related to human information behavior form the literature pool. Findings We provide an overview of distinct aspects of serendipity, that is research topics, potential benefits, related concepts, theoretical models, contextual factors and data collection methods. Based on these findings, this review reveals limitations and gaps in the current serendipity research and proposes an agenda for future research directions. Originality/value By analyzing current serendipity research, developing a knowledge framework and providing a research agenda, this review is of significance for researchers who want to find new research questions or re-align current work, for beginners who need to quickly understand serendipity, and for practitioners who seek to cultivate serendipity in information environments.
    Source
    Journal of documentation. 78(2022) no.2, S.435-462
  3. Qin, C.; Liu, Y.; Ma, X.; Chen, J.; Liang, H.: Designing for serendipity in online knowledge communities : an investigation of tag presentation formats and openness to experience (2022) 0.00
    0.0027899165 = product of:
      0.008369749 = sum of:
        0.008369749 = product of:
          0.016739499 = sum of:
            0.016739499 = weight(_text_:of in 664) [ClassicSimilarity], result of:
              0.016739499 = score(doc=664,freq=16.0), product of:
                0.06850986 = queryWeight, product of:
                  1.5637573 = idf(docFreq=25162, maxDocs=44218)
                  0.043811057 = queryNorm
                0.24433708 = fieldWeight in 664, product of:
                  4.0 = tf(freq=16.0), with freq of:
                    16.0 = termFreq=16.0
                  1.5637573 = idf(docFreq=25162, maxDocs=44218)
                  0.0390625 = fieldNorm(doc=664)
          0.5 = coord(1/2)
      0.33333334 = coord(1/3)
    
    Abstract
    Users increasingly acquire, share, and create knowledge in online knowledge communities, making them massive dynamic knowledge repositories that spark inspiration. While online knowledge communities provide powerful searching tools, they ignore the potential of serendipity in fostering knowledge acquisition. Against this backdrop, this research investigates whether serendipity can be stimulated by design features of communities. Specifically, we examine whether different tag presentation formats may promote serendipity. Two hundred seven participants were randomly assigned to our experimental website that displays one of three tag formats. Results show that users experienced serendipity more frequently while using tag trees than tag clouds, followed by tag lists. Moreover, tag formats moderate how openness to experience affects serendipity. Although openness did not influence serendipity across tag formats, further analysis shows that it significantly decreases serendipity for tag lists, but significantly increases serendipity for tag clouds and trees. Theoretically, these results provide an in-depth understanding of serendipity that is contingent on the interaction between community design features and personality (e.g., openness to experience). Practically, these findings demonstrate how interface features (e.g., tag presentation formats) facilitate serendipity, thus informing better design of online knowledge communities to improve the efficiency of knowledge acquisition.
    Source
    Journal of the Association for Information Science and Technology. 73(2022) no.10, S.1401-1417