Zoekresultaten

Trends in tools; Computers in Libraries

In april '07 vond in de VS het congres 'Computers in Libraries' plaats. Gerard Bierens en Liesbeth Mantel signaleren de opvallendste trends. 'De bibliotheekcatalogus gaat onherroepelijk onder het mes.'

Analysing and visualising the trends in knowledge management

The purpose of this study was to analyse knowledge management research trends to understand the development of the field using a combination of scientometric, bibliometric, and visualisation techniques, subsequently developing a normative framework of knowledge management from the results.282 articles between the years 2010–2015 were retrieved, analysed, and visualised to produce the state of knowledge management during the selected timeframe. The results of this study provide a visualisation of the current research trends to understand the development of the knowledge management discipline. There are signals that the literature about knowledge management is progressing towards academic maturity. This study is one of the first studies to combine bibliometric and scientometric methods to assess productivity along with visualisation, and subsequently provide a knowledge management framework drawing from the results of these methods.

Mapping ‘Women in Technology' Issue Networks across Bulgarian, Croatian, and Serbian National Google(s)

This article explores the intersection between women and technology with an experimental research design that uses online search engine data and digital methods (Rogers 2002, 2004, 2013). We respond to Blagojevic’s (2016) call for online mapping of gender equality stakeholders by incorporating the practice of ‘issue mapping’, which Rogers et al. (2015) conceptualise as a series of techniques that can be used to map the network of actors around a public issue, and to understand the ways they associate with one another. Specifically, we apply the software tool IssueCrawler and its co-link analysis of relevant queries to study national Google search result pages for Bulgaria, Croatia and Serbia. We ask, what types of stakeholders are prevalent around the topic of ‘women in technology’ in the local contexts (demarcated by the national Google result pages) of these three countries? Are they country-specific or do they cross national borders? To what extent do they associate with each other? Which actors are in the centre of the identified networks and which are on the periphery? The authors found that the issue networks of all three countries were heavily dominated by media and government actors, followed by business, entrepreneurial and nongovernmental sites, and websites containing information on EU grants. The national specificity, however, was mostly embedded in the groupings of these actors; whether they were densely or loosely interlinked with each other, and whether they were present or absent from the maps.

Knowledge Management: An Overview Of Research Trends

As a young and interdisciplinary field, Knowledge Management (KM) holds a crucial role in scientific research and development of knowledge-intensive economies. This study elaborates on the methods used in previous studies regarding the research trends of KM and their contribution to the discipline by examining the KM literature. The purpose of the study is to determine the current research trends of KM by analysing KM citation classics and examining their characteristics as well as presenting a holistic framework of KM publications from the results of citation analysis. A total of 152 articles published in peer review journals between the years 2010-2014 were analysed. As a result of the analysis, a holistic KM framework was developed in order to contribute to a consensus of KM field. The results of the study reveals that the coverage of KM articles expanded into a broad spectrum of concepts, disciplines and environment.

Branding and Google Trends: Software companies’ names, the metaverse and virtual reality.

The role of time, weather and Google Trends in understanding and predicting web survey response

In the literature about web survey methodology, significant eorts have been made to understand the role of time-invariant factors (e.g. gender, education and marital status) in (non-)response mechanisms. Time-invariant factors alone, however, cannot account for most variations in (non-)responses, especially fluctuations of response rates over time. This observation inspires us to investigate the counterpart of time-invariant factors, namely time-varying factors and the potential role they play in web survey (non-)response. Specifically, we study the effects of time, weather and societal trends (derived from Google Trends data) on the daily (non-)response patterns of the 2016 and 2017 Dutch Health Surveys. Using discrete-time survival analysis, we find, among others, that weekends, holidays, pleasant weather, disease outbreaks and terrorism salience are associated with fewer responses. Furthermore, we show that using these variables alone achieves satisfactory prediction accuracy of both daily and cumulative response rates when the trained model is applied to future unseen data. This approach has the further benefit of requiring only non-personal contextual information and thus involving no privacy issues. We discuss the implications of the study for survey research and data collection.