The Electronic Journal of Knowledge Management publishes original articles on topics relevant to studying, implementing, measuring and managing knowledge management and intellectual capital.

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Journal Article

Main Research Topics in Knowledge Management: A Content Analysis of ECKM Publications  pp3-15

Nora Fteimi, Franz Lehner

© Mar 2016 Volume 14 Issue 1, Special Issue on Is KM in Decline?, Editor: Andrea Garlatti and Maurizio Massaro, pp1 - 88

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Abstract

Abstract: Knowledge Management (KM) has already reached the level of a scientific discipline and attracts increasing interest in research and practice. As a consequence, the number of KM publications is growing exponentially. The wide spectrum of public ations comprises a variety of topics ranging from terminological, conceptual, and technological approaches to managerial implementation approaches. Several attempts have been made to achieve a common ground of the KM discipline. The aim of this study is a CA‑based review of a total of 755 publications published in the proceedings of the European Conference on Knowledge Management (ECKM) since 2006 and obtained from the Scopus Database. To the best of our knowledge, this is the first documented attempt t o analyse ECKM contributions using content analysis (CA). We combine the advantages of manually and automated CA in order to detect research areas and activities within ECKM community. Using the statistical software R, we applied a manually developed KM dictionary on title, abstract and keywords of the publications to identify key research topics examined over the past years. The results are compared with existing studies. The analysis confirms some results of preceding KM studies and reveals a strong i nterest of the community in research topics like knowledge processes, innovation, learning and technology. Furthermore, there is an observable tendency to use established research methods for analysis purposes. Since the development of a common ground of the KM discipline is still a challenging task, the findings help to discover emerging research topics in KM research but also mostly preferred research methods. Both thematic shifts in the past and prospective future research priorities are pointed out. T he results of this study contribute to the role of KM in building resilience and can be seen as an attempt to reflect the identity and the research interests of the KM discipline.

 

Keywords: Keywords: knowledge management, ECKM publications, research topics, research trends, content analysis, dictionaries

 

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Journal Article

Science 2.0 and Conference Tweets: What? Where? Why? When?  pp269-282

Athanasios Mazarakis, Isabella Peters

© Dec 2015 Volume 13 Issue 4, Special Issue on Social Media in our Life, Editor: Anabela Mesquita and Paula Peres, pp255 - 292

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Abstract

Abstract: Microblogging activity as supported by Twitter has rapidly gained a lot of attention within the scientific community. For example, the organizers of scientific conferences started exploiting Twitter for various reasons, e.g., engaging customers via backchannel, or providing awareness support for stakeholders. We assume that there is no equal distribution of Twitter activity over time. Instead we argue that there are particular events or occasions that lead to peaks in the number of tweets. Clear ly distinguishable peaks can be used by conference organizers to promote or announce information. At the Science 2.0 conference 1,879 conference‑related tweets (including retweets) were collected between 14.03.2014 and 14.04.2014. In total 822 tweets ( 68%) came from conference attendees versus 392 unique tweets (32%) from external contributors who were also more likely to retweet (24% vs. 74%). Additionally, we conducted a content analysis of all tweets by using a self‑provided codebook with thre e classes: purpose of tweet, target of web link (if embedded in the tweet), and topical relation to Science 2.0Ž. The purpose of over 80% of the tweets was to share conference content or resources. Pictures and the conference website were the most ofte n tweeted link targets (65%). The top four content categories occurred in 11% to 15% of tweets and were scientific working methods,Ž web topics,Ž projects & research programs,Ž and open science & open dataŽ reflecting what the audience was most inte rested in. These results help to understand Twitter behavior regarding time and content. This study provides a threefold additional value: 1) conference organizers know when to announce important conference‑related information to the audience via Twitter , 2) the first two classes of the validated codebook are transferable to studies in a similar vein and can be easily reused from the community, and 3) supports recording of user feedback to conference topics and highlights.

 

Keywords: Keywords: twitter, tweets, user engagement, conference backchannel, conference tweets, scholarly communication, content analysis

 

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