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  • × year_i:[2010 TO 2020}
  • × author_ss:"Zhang, Y."
  1. Zhang, Y.: Understanding the sustained use of online health communities from a self-determination perspective (2016) 0.02 
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    Abstract
    Sustained use of an information source is sometimes important for achieving an individual's long-term goals, such as learning and self-development. It is even more important for users of online health communities because health benefits usually come with sustained use. However, little is known about what retains a user. We interviewed 21 participants who had been using online diabetes communities in a sustained manner. Guided by self-determination theory, which posits that behaviors are sustained when they can satisfy basic human needs for autonomy, competence, and relatedness, we identified mechanisms that help satisfy these needs, and thus sustain users in online health communities. Autonomy-supportive mechanisms include being respected and supported as a unique individual, feeling free in making choices, and receiving meaningful rationales about others' decisions. Competence-cultivating mechanisms include seeking information, providing information, and exchanging information with others to construct knowledge. Mechanisms that cultivate relatedness include seeing similarities between oneself and peers, receiving responses from others, providing emotional support, and forming small underground groups for closer interactions. The results suggest that, like emotions, information and small group interactions also play a key role in retaining users. System design and community management strategies are discussed based on these mechanisms.
    Source
    Journal of the Association for Information Science and Technology. 67(2016) no.12, S.22842-2857
  2. Zhang, Y.: Developing a holistic model for digital library evaluation (2010) 0.02 
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    Abstract
    This article reports the author's recent research in developing a holistic model for various levels of digital library (DL) evaluation in which perceived important criteria from heterogeneous stakeholder groups are organized and presented. To develop such a model, the author applied a three-stage research approach: exploration, confirmation, and verification. During the exploration stage, a literature review was conducted followed by an interview, along with a card sorting technique, to collect important criteria perceived by DL experts. Then the criteria identified were used for developing an online survey during the confirmation stage. Survey respondents (431 in total) from 22 countries rated the importance of the criteria. A holistic DL evaluation model was constructed using statistical techniques. Eventually, the verification stage was devised to test the reliability of the model in the context of searching and evaluating an operational DL. The proposed model fills two lacunae in the DL domain: (a) the lack of a comprehensive and flexible framework to guide and benchmark evaluations, and (b) the uncertainty about what divergence exists among heterogeneous DL stakeholders, including general users.
    Source
    Journal of the American Society for Information Science and Technology. 61(2010) no.1, S.88-110
  3. Zhang, Y.; Zhang, G.; Zhu, D.; Lu, J.: Scientific evolutionary pathways : identifying and visualizing relationships for scientific topics (2017) 0.00 
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    Abstract
    Whereas traditional science maps emphasize citation statistics and static relationships, this paper presents a term-based method to identify and visualize the evolutionary pathways of scientific topics in a series of time slices. First, we create a data preprocessing model for accurate term cleaning, consolidating, and clustering. Then we construct a simulated data streaming function and introduce a learning process to train a relationship identification function to adapt to changing environments in real time, where relationships of topic evolution, fusion, death, and novelty are identified. The main result of the method is a map of scientific evolutionary pathways. The visual routines provide a way to indicate the interactions among scientific subjects and a version in a series of time slices helps further illustrate such evolutionary pathways in detail. The detailed outline offers sufficient statistical information to delve into scientific topics and routines and then helps address meaningful insights with the assistance of expert knowledge. This empirical study focuses on scientific proposals granted by the United States National Science Foundation, and demonstrates the feasibility and reliability. Our method could be widely applied to a range of science, technology, and innovation policy research, and offer insight into the evolutionary pathways of scientific activities.
    Source
    Journal of the Association for Information Science and Technology. 68(2017) no.8, S.1925-1939
  4. Ku, Y.; Chiu, C.; Zhang, Y.; Chen, H.; Su, H.: Text mining self-disclosing health information for public health service (2014) 0.00 
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    Source
    Journal of the Association for Information Science and Technology. 65(2014) no.5, S.928-947
  5. Zhang, X.; Fang, Y.; He, W.; Zhang, Y.; Liu, X.: Epistemic motivation, task reflexivity, and knowledge contribution behavior on team wikis : a cross-level moderation model (2019) 0.00 
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    Source
    Journal of the Association for Information Science and Technology. 70(2019) no.5, S.448-461
  6. Zhang, Y.: Dimensions and elements of people's mental models of an information-rich Web space (2010) 0.00 
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    Source
    Journal of the American Society for Information Science and Technology. 61(2010) no.11, S.2206-2218
  7. Zhang, Y.: Toward a layered model of context for health information searching : an analysis of consumer-generated questions (2013) 0.00 
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    Source
    Journal of the American Society for Information Science and Technology. 64(2013) no.6, S.1158-1172
  8. Zhang, Y.: Searching for specific health-related information in MedlinePlus : behavioral patterns and user experience (2014) 0.00 
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    Source
    Journal of the Association for Information Science and Technology. 65(2014) no.1, S.53-68
  9. Zhang, Y.: Beyond quality and accessibility : source selection in consumer health information searching (2014) 0.00 
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    Source
    Journal of the Association for Information Science and Technology. 65(2014) no.5, S.911-927
  10. Zhang, Y.; Broussard, R.; Ke, W.; Gong, X.: Evaluation of a scatter/gather interface for supporting distinct health information search tasks (2014) 0.00 
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    Source
    Journal of the Association for Information Science and Technology. 65(2014) no.5, S.1028-1041
  11. Zhang, Y.; Kudva, S.: E-books versus print books : readers' choices and preferences across contexts (2014) 0.00 
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    Source
    Journal of the Association for Information Science and Technology. 65(2014) no.8, S.1695-1706
  12. Zhang, Y.; Sun, Y.; Xie, B.: Quality of health information for consumers on the web : a systematic review of indicators, criteria, tools, and evaluation results (2015) 0.00 
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    Source
    Journal of the Association for Information Science and Technology. 66(2015) no.10, S.2071-2084

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