Social Media and Tacit Knowledge Sharing: Developing a Conceptual Model
Panahi, Sirous, Watson, Jason, & Partridge, Helen (2012) Social Media and Tacit Knowledge Sharing: Developing a Conceptual Model. In World Academy of Science, Engineering and Technology, World Academy of Science, Engineering and Technology (WASET), Paris, France, pp. 1095-1102.
With the advent of social web initiatives, some argued that these new emerging tools might be useful in tacit knowledge sharing through providing interactive and collaborative technologies. However, there is still a poverty of literature to understand how and what might be the contributions of social media in facilitating tacit knowledge sharing. Therefore, this paper is intended to theoretically investigate and map social media concepts and characteristics with tacit knowledge creation and sharing requirements. By conducting a systematic literature review, five major requirements found that need to be present in an environment that involves tacit knowledge sharing. These requirements have been analyzed against social media concepts and characteristics to see how they map together. The results showed that social media have abilities to comply some of the main requirements of tacit knowledge sharing. The relationships have been illustrated in a conceptual framework, suggesting further empirical studies to acknowledge findings of this study.
Citation countsare sourced monthly fromand citation databases.
These databases contain citations from different subsets of available publications and different time periods and thus the citation count from each is usually different. Some works are not in either database and no count is displayed. Scopus includes citations from articles published in 1996 onwards, and Web of Science® generally from 1980 onwards.
Citations counts from theindexing service can be viewed at the linked Google Scholar™ search.
Full-text downloadsdisplays the total number of times this work’s files (e.g., a PDF) have been downloaded from QUT ePrints as well as the number of downloads in the previous 365 days. The count includes downloads for all files if a work has more than one.
|Item Type:||Conference Paper|
|Keywords:||Tacit knowledge, Knowledge sharing, Social media, Web 2.0, Implicit knowledge|
|Subjects:||Australian and New Zealand Standard Research Classification > INFORMATION AND COMPUTING SCIENCES (080000) > LIBRARY AND INFORMATION STUDIES (080700) > Library and Information Studies not elsewhere classified (080799)|
|Divisions:||Current > Schools > School of Information Systems|
Current > QUT Faculties and Divisions > Science & Engineering Faculty
|Copyright Owner:||Copyright 2012 The Authors|
|Deposited On:||03 May 2012 08:25|
|Last Modified:||11 May 2012 14:24|
Repository Staff Only: item control page