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Zhang, X.; Wang, D.; Tang, Y.; Xiao, Q.: How question type influences knowledge withholding in social Q&A community (2023)
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- Abstract
- Social question-and-answer (Q&A) communities are becoming increasingly important for knowledge acquisition. However, some users withhold knowledge, which can hinder the effectiveness of these platforms. Based on social exchange theory, the study investigates how different types of questions influence knowledge withholding, with question difficulty and user anonymity as boundary conditions. Two experiments were conducted to test hypotheses. Results indicate that informational questions are more likely to lead to knowledge withholding than conversational ones, as they elicit more fear of negative evaluation and fear of exploitation. The study also examines the interplay of question difficulty and user anonymity with question type. Overall, this study significantly extends the existing literature on counterproductive knowledge behavior by exploring the antecedents of knowledge withholding in social Q&A communities.
- Date
- 22. 9.2023 13:51:47
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Zhao, Y.C.; Peng, X.; Liu, Z.; Song, S.; Hansen, P.: Factors that affect asker's pay intention in trilateral payment-based social Q&A platforms : from a benefit and cost perspective (2020)
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- Abstract
- More and more social Q&A platforms are launching a new business model to monetize online knowledge. This monetizing process introduces a more complicated cost and benefit tradeoff to users, especially for askers' concerns. Much of the previous research was conducted in the context of free-based Q&A platform, which hardly explains the triggers that motivate askers' pay intention. Based on the theories of social exchange and social capital, this study aims to identify and examine the antecedents of askers' pay intention from the perspective of benefit and cost. We empirically test our predictions based on survey data collected from 322 actual askers in a well-known trilateral payment-based social Q&A platform in China. The results by partial least squares (PLS) analysis indicate that besides noneconomic benefits including self-enhancement, social support, and entertainment, financial factors such as cost and benefit have significant influences on the perceived value of using trilateral payment-based Q&A platforms. More important, we further identify that the effect of financial benefit is moderated by perceived reciprocity belief, and the effect of perceived value is moderated by perceived trust in answerers. Our findings contribute to the previous literature by proposing a theoretical model that explains askers' behavioral intention, and the practical implications for payment-based Q&A service providers and participants.
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St Jean, B.; Gorham, U.; Bonsignore, E.: Understanding human information behavior : when, how, and why people interact with information (2021)
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- Abstract
- This comprehensive text is the ideal resource for teaching human information behavior to undergraduate students. The text is organized in a thoughtful way to address all the most important aspects in an easy to digest manner, with the latter part of the book focusing on key areas of study within the information behavior field. The real world examples included in the text will appeal to undergraduate students and help them connect to what information behavior looks like in practice. The authors write in a winningly approachable style that will help students connect with the key concepts. I particularly like the inclusion of Discussion Questions which can be used by instructors as either homework or in class discussion points to foster a rich dialogue about each of the chapters. Applicable research studies are introduced in the text in an approachable way which will facilitate undergraduate engagement with the ongoing work in the discipline. The acronyms list and glossary at the back of the book are two additional, helpful resources for undergraduates to get caught up to speed on the most important topics under the umbrella of human information behavior.-- [Emily Vardell, PhD, assistant professor, School of Library and Information Management, Emporia State University]. Extremely accessible, comprehensive, and useful, Understanding Human Information Behavior: When, How, and Why People Interact with Information discusses the relevance and significance of its subject to our work and everyday life and is well-positioned to empower students to become helpful information and technology professionals.-- [Yan Zhang, associate professor, School of Information, The University of Texas at Austin].
