Sankaran, Prema and Bheeman, Sankaran and Priya, K. Hari and Zhou, Xujuan and Gururajan, Raj ORCID: https://orcid.org/0000-0002-5919-0174
(2017)
Factors impacting employee engagement on enterprise social
media.
In: 2017 IEEE/WIC/ACM International Conference on Web Intelligence (WI 2017), 23-26 Aug 2017, Leipzig, Germany.
Abstract
The emergence of knowledge-based economies has emphasised the importance of interactive knowledge management technologies, which have manifested themselves in the form of social networking tools. Organization’s ability to leverage and manage the relevant knowledge is a sustainable strategic tool. This research focus on the ways in which social technologies facilitate knowledge sharing in
the workplace. Findings uncovers key drivers of three dimensions of knowledge management, individual, organization and technology and suggest to connect them along with a knowledge process architecture for leveraging knowledge.
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Item Type: | Conference or Workshop Item (Commonwealth Reporting Category E) (Paper) |
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Refereed: | Yes |
Item Status: | Live Archive |
Additional Information: | Copyright © 2017 by the Association for Computing Machinery, Inc. Permanent restricted access to PV in accordance with the copyright policy of the publisher. |
Faculty/School / Institute/Centre: | Historic - Faculty of Business, Education, Law and Arts - School of Management and Enterprise (1 Jul 2013 - 17 Jan 2021) |
Faculty/School / Institute/Centre: | Historic - Faculty of Business, Education, Law and Arts - School of Management and Enterprise (1 Jul 2013 - 17 Jan 2021) |
Date Deposited: | 25 Oct 2017 03:05 |
Last Modified: | 19 Sep 2018 03:24 |
Uncontrolled Keywords: | employee engagement, enterprise social media, social media, Twitter |
Fields of Research (2008): | 08 Information and Computing Sciences > 0806 Information Systems > 080609 Information Systems Management |
Fields of Research (2020): | 46 INFORMATION AND COMPUTING SCIENCES > 4609 Information systems > 460908 Information systems organisation and management |
Identification Number or DOI: | https://doi.org/10.1145/3106426.3115865 |
URI: | http://eprints.usq.edu.au/id/eprint/33168 |
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