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  • × author_ss:"Chua, A.Y.K."
  1. Chua, A.Y.K.; Yang, C.C.: ¬The shift towards multi-disciplinarity in information science (2008) 0.02 
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    Abstract
    This article analyzes the collaboration trends, authorship and keywords of all research articles published in the Journal of American Society for Information Science and Technology (JASIST). Comparing the articles between two 10-year periods, namely, 1988-1997 and 1998-2007, the three-fold objectives are to analyze the shifts in (a) authors' collaboration trends (b) top authors, their affiliations as well as the pattern of coauthorship among them, and (c) top keywords and the subdisciplines from which they emerge. The findings reveal a distinct tendency towards collaboration among authors, with external collaborations becoming more prevalent. Top authors have grown in diversity from those being affiliated predominantly with library/information-related departments to include those from information systems management, information technology, businesss, and the humanities. Amid heterogeneous clusters of collaboration among top authors, strongly connected cross-disciplinary coauthor pairs have become more prevalent. Correspondingly, the distribution of top keywords' occurrences that leans heavily on core information science has shifted towards other subdisciplines such as information technology and sociobehavioral science.
  2. Lee, C.S.; Goh, D.H.-L.; Chua, A.Y.K.; Ang, R.P.: Indagator: Investigating perceived gratifications of an application that blends mobile content sharing with gameplay (2010) 0.01 
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  3. Goh, D.H.-L.; Ang, R.P.; Lee, C.S.; Chua, A.Y.K.: Fight or unite : investigating game genres for image tagging (2011) 0.01 
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  4. Chua, A.Y.K.; Banerjee, S.: So fast so good : an analysis of answer quality and answer speed in community Question-answering sites (2013) 0.01 
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    Abstract
    The authors investigate the interplay between answer quality and answer speed across question types in community question-answering sites (CQAs). The research questions addressed are the following: (a) How do answer quality and answer speed vary across question types? (b) How do the relationships between answer quality and answer speed vary across question types? (c) How do the best quality answers and the fastest answers differ in terms of answer quality and answer speed across question types? (d) How do trends in answer quality vary over time across question types? From the posting of 3,000 questions in six CQAs, 5,356 answers were harvested and analyzed. There was a significant difference in answer quality and answer speed across question types, and there were generally no significant relationships between answer quality and answer speed. The best quality answers had better overall answer quality than the fastest answers but generally took longer to arrive. In addition, although the trend in answer quality had been mostly random across all question types, the quality of answers appeared to improve gradually when given time. By highlighting the subtle nuances in answer quality and answer speed across question types, this study is an attempt to explore a territory of CQA research that has hitherto been relatively uncharted.

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