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PurposeSeekers who visit professional virtual communities (PVCs) are usually motivated by knowledge-seeking, which is a complex cognitive process. How do seekers search for knowledge, and how is their search linked to prior knowledge or PVC situation factors? From the cognitive process and interactional psychology perspectives, this study investigated the three-way interactions between seekers’ expertise, task complexity, and perceptions of PVC features (i.e. knowledge quality and system quality) on knowledge-seeking strategies and resultant outcomes.Design/methodology/approachA field experiment was conducted with 119 seekers in a PVC using a 2 × 2 factorial design of seekers’ expertise (i.e. expert versus novice) and task complexity (i.e. low versus high).FindingsThe study reveals three significant insights: (1) For a high-complexity task, experts adopt an ask-directed searching strategy compared to novices, whereas novices adopt a browsing strategy; (2) For a high-complexity task, experts who perceive a high system quality are more likely than novices to adopt an ask-directed searching strategy; and (3) Task completion time and task quality are associated with the adoption of ask-directed searching strategies, whereas knowledge seekers’ satisfaction is more associated with the adoption of browsing strategy.Originality/valueWe draw on the perspectives of cognitive process and interactional psychology to explore potential two- and three-way interactions of seekers’ expertise, task complexity, and PVC features on the adoption of knowledge-seeking strategies in a PVC context. Our findings provide deep insights into seekers’ behavior in a PVC, given the popularity of the search for knowledge in PVCs.
PurposeSeekers who visit professional virtual communities (PVCs) are usually motivated by knowledge-seeking, which is a complex cognitive process. How do seekers search for knowledge, and how is their search linked to prior knowledge or PVC situation factors? From the cognitive process and interactional psychology perspectives, this study investigated the three-way interactions between seekers’ expertise, task complexity, and perceptions of PVC features (i.e. knowledge quality and system quality) on knowledge-seeking strategies and resultant outcomes.Design/methodology/approachA field experiment was conducted with 119 seekers in a PVC using a 2 × 2 factorial design of seekers’ expertise (i.e. expert versus novice) and task complexity (i.e. low versus high).FindingsThe study reveals three significant insights: (1) For a high-complexity task, experts adopt an ask-directed searching strategy compared to novices, whereas novices adopt a browsing strategy; (2) For a high-complexity task, experts who perceive a high system quality are more likely than novices to adopt an ask-directed searching strategy; and (3) Task completion time and task quality are associated with the adoption of ask-directed searching strategies, whereas knowledge seekers’ satisfaction is more associated with the adoption of browsing strategy.Originality/valueWe draw on the perspectives of cognitive process and interactional psychology to explore potential two- and three-way interactions of seekers’ expertise, task complexity, and PVC features on the adoption of knowledge-seeking strategies in a PVC context. Our findings provide deep insights into seekers’ behavior in a PVC, given the popularity of the search for knowledge in PVCs.
Performing an effective literature review is a fundamental academic skill. Whether writing up a final project, preparing a research proposal, or simply finding answers to complex questions, students need to be able to systematically gather and analyse evidence from a variety of sources. However, many students have difficulty formulating effective search queries and understanding how to optimise their search strategy. This paper evaluates a novel approach to query formulation based on an alternative, visual interface. The approach is evaluated alongside a conventional, form-based interface in a comparative, controlled setting. The study finds that overall, participants considered the visual interface to be more complex and difficult to use. However, at the same time they used significantly more terms, facets and reformulations in the visual interface, and gave more attention to creating and refining more complex queries. In addition, the majority considered the visual interface to have greater transparency, with a clearer overview of the search tasks that encouraged them to invest greater effort in completing them successfully. The results demonstrate that visual approaches can offer tangible benefits in developing and improving students’ competence in exploratory search tasks.
BACKGROUND Nowadays, Internet has become the primary source of information for physicians seeking answers to medical questions about their patients before consulting colleagues. However, many websites display information of low quality, less reliability, and lack scientific verification. Therefore, physicians need to develop information search skills to locate relevant and evidence-based information. However, previous studies have shown that physicians often have poor search skills and encounter difficulties in finding information on the Web. These challenges may have detrimental consequences on patient care. OBJECTIVE The present study aims to determine how medical students-residents search for medical information on Internet, what quality of web resources they utilize (including the nature and credibility of resources), and how they evaluate the reliability of web resources and the answers they provide. Given the importance of domain knowledge (in this case, medicine) and information search skills to the search activity, we compared the search behaviors of medical students and residents to those of students in computer science. Medical students-residents typically possess higher medical-related knowledge, while students in computer science generally have information search skills. METHODS Twenty students participated in this study: ten medical students-residents and ten students in computer science. Data were extracted from a freely accessible dataset. All participants were tasked with searching for information on the web to make a medical diagnosis, select a treatment, and enhance their knowledge of a medical condition—three primary activities they engage in online. We analyzed search performance metrics (such as search time, medical-related keywords used, and accuracy of information found) as well as the nature and credibility of web resources utilized by medical students and residents compared to students in computer science. RESULTS Students-residents in medicine provided, in mean, more accurate answers than students in computer science, all without requiring additional time. Their background in medicine also enabled them to better evaluate the reliability of resources and select high-quality web resources more effectively than students in computer science, primarily from hospital websites. However, it is noteworthy that students-residents in medicine utilized very few evidence-based tools, such as PubMed. CONCLUSIONS Although that students-residents in medicine had in general high performance than students in computer science, they did not use frequently evidence-based tools. As previously observed students-residents may avoid using databases due to the risk of encountering too many irrelevant articles and difficulties in applying correct filters to locate relevant information. Nevertheless, clinical and practical evidence-based medicine can significantly contribute to updating physicians' knowledge, improving patient care, and enhancing physician-patient relationships. Therefore, information search should be an integral part of medical training programs and continuing medical education for physicians.
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