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Structuring digital options towards reducing the struggle of finding the needle in the digital haystack
University of Rostock, Institute for Business Administration, Rostock, Germany.
University of Skövde, School of Business. University of Skövde, Enterprises for the Future. (Knowledge and Innovation Management (KIM))ORCID iD: 0000-0001-8469-2427
2017 (English)In: WM 2017: Professionelles Wissensmanagement: Tagungsband der 9. Konferenz Professionelles Wissensmanagement (Professional Knowledge Management): Karlsruhe, Germany, April 5-7, 2017 / [ed] York Sure-Vetter, Stefan Zander, Andreas Harth, 2017, 18-24 p.Conference paper (Refereed)
Abstract [en]

Employees are confronted with more and more different kinds of digital support in their workplace. However, not every support of such kind is perceived positively, but there are also downsides related to the increase of information and knowledge requirements that come along with it. Hence, employees are often overstrained, an aspect prior research has not emphasized in its entirety regarding digital options. In this position paper, we propose a framework to categorize digital options in the workplace and call for further research regarding downsides of these options from a knowledge perspective.

Place, publisher, year, edition, pages
2017. 18-24 p.
Series
CEUR Workshop Proceedings, E-ISSN 1613-0073
Keyword [en]
Digital options, workplace, information overload, digitalization, downsides
National Category
Business Administration
Research subject
Knowledge and Innovation Management (KIM)
Identifiers
URN: urn:nbn:se:his:diva-13491OAI: oai:DiVA.org:his-13491DiVA: diva2:1088482
Conference
9te Konferenz Professionelles Wissensmanagement (WM 2017), Karlsruhe, 05.-07.04.2017
Available from: 2017-04-12 Created: 2017-04-12 Last updated: 2017-04-12Bibliographically approved

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http://ceur-ws.org/Vol-1821/W1_paper2.pdf

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Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf