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Understanding and Evaluating Research and Scholarly Publishing in the Social Sciences and Humanities (SSH)


Internationalization is important for research quality and for specialization on new themes in the social sciences and humanities (SSH). Interaction with society, however, is just as important in these areas of research for realizing the ultimate aims of knowledge creation. This article demonstrates how the heterogenous publishing patterns of the SSH may reflect and fulfill both purposes. The limited coverage of the SSH in Scopus and Web of Science is discussed along with ideas about how to achieve a more complete representation of all the languages and publication types that are actually used in the SSH. A dynamic and empirical concept of balanced multilingualism is introduced to support combined strategies for internationalization and societal interaction. The argument is that all the communication purposes in all different areas of research, and all the languages and publication types needed to fulfill these purposes, should be considered in a holistic manner without exclusions or priorities whenever research in the SSH is evaluated.

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Social Media Affordances and Information Sharing: An Evidence from Chinese Public Organizations

tagging of the article. This kind of association shows a connection between individual and information either created or acknowledged. These arguments show that association enables individuals to get resources (information) from different sources. To support information sharing, even knowledge sharing, public organizations should focus on the association factor to increase the connection between employees, which will increase the information and knowledge sharing behaviour in this sector. Communicability/interactivity : Samati et al. (2015) mentioned communicability

Open access

interpretation of data and information? What policies are: appropriate for balancing societal needs for data openness and information/knowledge access and individual needs for privacy or dignity? What kind of ethical policies are desirable and practical? DIM invites scholars to share technical breakthroughs as well as cogent arguments for answering a range of data and information challenges. Publishing is changing in the 21 st century. Paper journals that demand production costs such as physical printing, storing copies, and shipping are being supplanted by electronic

Open access
Supporting Book Search: A Comprehensive Comparison of Tags vs. Controlled Vocabulary Metadata

costs and may use outdated terminology, which is harmful when searching newer documents. The natural or uncontrolled language in titles, abstracts or the full-text of a document and later in user-generated content (such as tags) is more varied and represents the author or user terminology, but can also lead to fewer or irrelevant search results. Experiments comparing the effectiveness of CVs vs. uncontrolled text have as varied results as the pro and con arguments for either of them. Some showed the same effectiveness for CVs and uncontrolled text [ 42 ], some an

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The Contingency Effect of Relational Competency on the Relationship between Information Technology Competency and Firm Performance

as a magnifier ( Roberts et al. 2012 ). This finding is consistent with Morgan et al.’s (2009) argument that it is the capabilities by which firms’ resources are deployed and configured, rather than the resources firms possess that explain the variations in firm performance. In this view, the impact of IT competency on firm performance can be better explained through the logics of leverage and opportunity, which highlight how firms combine different IT competency with organizational processes as well as how firms improvise combinations of internal IT resources

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Big Data in Health Care: Applications and Challenges

, patients may have personalized medicine and patient-centric care. This argument supposes that Big Data would help to provide novel approaches to deal with issues in health care (C. S. Kruse, R Goswamy, Y Raval, & S Marawi, 2016). 4.1 The perspective of the research institution and the hospital Research institutions could better understand the mechanisms and effects of newly developed drugs through BDA. For example, it could also reprocess cancer data to hunt for new cancer drugs ( Marx, 2013 ). Through using statistical tools and algorithms, researchers could improve

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