338,847 research outputs found

    Examining the transfer of academic knowledge to business practitioners: doctoral program graduates as intermediaries

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    The relevance of academic research to practice has been a widespread topic for academics to debate. This study investigated whether practitioners who hold a business-related Ph.D. degree may act as intermediaries in the transfer of academic knowledge from academia to industry. Based on the extant literature, a model of knowledge transfer was developed and used as a lens of analysis. Twenty one Ph.D. graduates were interviewed. The data were subjected to content analysis to test current knowledge transfer theory. First, it was found that the lack of demand for evidence-based knowledge in industry deters practitioners from using academic research. Second, when these practitioners remain involved in the academic domain, they are more likely to access and apply academic knowledge. Lastly, the attitude of a practitioner’s employer or client impacts the probability of the practitioner using academic literature in decision making processes. The findings of this study revealed how influential an organization’s culture is in determining what sources of knowledge practitioners access and apply to perform their responsibilities. The implications of this study include a recommendation for doctoral program curriculums to include more applied knowledge. Additionally, it recommends that industry employers should provide employees with access to academic literature. In summary, the results reinforced the importance of understanding the relationship between a source and a receiver as studied in this case between academics and practitioners

    Knowledge-Based Techniques for Scholarly Data Access: Towards Automatic Curation

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    Accessing up-to-date and quality scientific literature is a critical preliminary step in any research activity. Identifying relevant scholarly literature for the extents of a given task or application is, however a complex and time consuming activity. Despite the large number of tools developed over the years to support scholars in their literature surveying activity, such as Google Scholar, Microsoft Academic search, and others, the best way to access quality papers remains asking a domain expert who is actively involved in the field and knows research trends and directions. State of the art systems, in fact, either do not allow exploratory search activity, such as identifying the active research directions within a given topic, or do not offer proactive features, such as content recommendation, which are both critical to researchers. To overcome these limitations, we strongly advocate a paradigm shift in the development of scholarly data access tools: moving from traditional information retrieval and filtering tools towards automated agents able to make sense of the textual content of published papers and therefore monitor the state of the art. Building such a system is however a complex task that implies tackling non trivial problems in the fields of Natural Language Processing, Big Data Analysis, User Modelling, and Information Filtering. In this work, we introduce the concept of Automatic Curator System and present its fundamental components.openDottorato di ricerca in InformaticaopenDe Nart, Dari

    The Distant Horizon: investigating the relationship between social sciences academic research and game development

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    Research in the social sciences devotes a great amount of attention to investigating the impact of video games on the individual and on society. However, results generated by this research often fail to inform game development. The present study investigated the outreach of research conducted by the academic community by interviewing 30 game developers and 14 researchers, highlighting critical aspects in the relationship between game research and game industry. Specifically, we found that the difference in priorities, speed cycles, and dissemination practices between these two contexts hinder communication. Subsequently, we carried out a focus group for a set of developers and researchers (N=6) with the aim of eliciting recommendation for improving communication between academics and developers. Among the recommendations to emerge were calls to diversify dissemination channels, promote joint conferences and develop research-production partnerships. It was felt such measures could strengthen the influence of research results outside the academic community

    Dermatology residency selection criteria with an emphasis on program characteristics: a national program director survey.

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    Background. Dermatology residency programs are relatively diverse in their resident selection process. The authors investigated the importance of 25 dermatology residency selection criteria focusing on differences in program directors' (PDs') perception based on specific program demographics. Methods. This cross-sectional nationwide observational survey utilized a 41-item questionnaire that was developed by literature search, brainstorming sessions, and online expert reviews. The data were analyzed utilizing the reliability test, two-step clustering, and K-means methods as well as other methods. The main purpose of this study was to investigate the differences in PDs' perception regarding the importance of the selection criteria based on program demographics. Results. Ninety-five out of 114 PDs (83.3%) responded to the survey. The top five criteria for dermatology residency selection were interview, letters of recommendation, United States Medical Licensing Examination Step I scores, medical school transcripts, and clinical rotations. The following criteria were preferentially ranked based on different program characteristics: "advanced degrees," "interest in academics," "reputation of undergraduate and medical school," "prior unsuccessful attempts to match," and "number of publications." Conclusions. Our survey provides up-to-date factual data on dermatology PDs' perception in this regard. Dermatology residency programs may find the reported data useful in further optimizing their residency selection process

    Persuasive evidence:Improving customer service through evidenced based librarianship

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