Dalarna University's logo and link to the university's website

du.sePublications
Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • chicago-author-date
  • chicago-note-bibliography
  • 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
Delone and McLean IS success model for evaluating knowledge sharing
Dalarna University, School of Technology and Business Studies, Information Systems.ORCID iD: 0000-0001-9194-9446
Dalarna University, School of Technology and Business Studies, Information Systems.ORCID iD: 0000-0003-3681-8173
2019 (English)Conference paper, Published paper (Refereed)
Abstract [en]

It is generally agreed upon that Knowledge Sharing (KS) is an effective process within organizational settings. It is also the corner-stone of many firm’s Knowledge Management (KM) Strategy. Despite the growing significance of KS for organization’s competitiveness and performance, analyzing the level of KS make it difficult for KM to achieve the optimum level of KS. Because of these causes, this study attempts to develop a conceptual model based on one of the IS Theories that is determined as the best model for evaluating the level of KS. In other words, it is Delone and McLean IS Success model that is presented according to the Communication Theory and it covers various perspectives of assessing Information Systems (IS). Hence, these dimensions cause it to be a multidimensional measuring model that could be a suitable model for realizing the level of KS.

Place, publisher, year, edition, pages
2019. Vol. 11235, p. 125-136
Series
Lecture Notes in Computer Science, ISSN 0302-9743, E-ISSN 1611-3349
Keywords [en]
Knowledge Sharing, Knowledge Managemen, t Knowledge Sharing Quality, Delone and McLean IS Success Model
National Category
Information Systems
Research subject
Research Profiles 2009-2020, Complex Systems – Microdata Analysis
Identifiers
URN: urn:nbn:se:du-30102DOI: 10.1007/978-3-030-19143-6_9ISI: 000485167900009Scopus ID: 2-s2.0-85065486267ISBN: 978-3-030-19142-9 (print)ISBN: 978-3-030-19143-6 (electronic)OAI: oai:DiVA.org:du-30102DiVA, id: diva2:1318164
Conference
QUAT 2018: Data Quality and Trust in Big Data, UAE November 12-15, 2018
Available from: 2019-05-27 Created: 2019-05-27 Last updated: 2021-11-12Bibliographically approved

Open Access in DiVA

No full text in DiVA

Other links

Publisher's full textScopus

Authority records

Sarkheyli, AzadehSong, William Wei

Search in DiVA

By author/editor
Sarkheyli, AzadehSong, William Wei
By organisation
Information Systems
Information Systems

Search outside of DiVA

GoogleGoogle Scholar

doi
isbn
urn-nbn

Altmetric score

doi
isbn
urn-nbn
Total: 258 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • chicago-author-date
  • chicago-note-bibliography
  • 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