Overcoming Challenges to Effective Application of IT Research Results: A Framework for Encapsulating the Context and Findings of Research Studies

Simple item page
dc.contributor.authorKettles, Degan
dc.contributor.authorKulkarni, Uday
dc.contributor.authorMazzola, Daniel
dc.contributor.authorSt Louis, Robert
dc.date.accessioned2016-12-29T00:29:11Z
dc.date.available2016-12-29T00:29:11Z
dc.date.issued2017-01-04
dc.description.abstractResearch studies frequently yield conflicting results. Resolving these conflicts is a grand challenge to effective application of research results. This paper presents a new framework for encapsulating the context and findings of research studies into a dimensional knowledge base which makes it easy to identify the conflicting results, and to explore the differences in context that might explain the conflicting findings. The framework is illustrated using the knowledge sharing domain. The Information Systems literature identifies over 100 variables associated with knowledge sharing, and the findings across different studies have frequently been contradictory. This paper shows how to capture the relevant contextual information, store the information in a dimensional document mart, and use the information to detect and reconcile seemingly inconsistent findings.
dc.format.extent10 pages
dc.identifier.doi10.24251/HICSS.2017.129
dc.identifier.isbn978-0-9981331-0-2
dc.identifier.urihttp://hdl.handle.net/10125/41282
dc.language.isoeng
dc.relation.ispartofProceedings of the 50th Hawaii International Conference on System Sciences
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 International
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subjectDimensional Data Mart
dc.subjectIS Research Frameworks
dc.subjectResearch Findings
dc.subjectResearch Issues
dc.titleOvercoming Challenges to Effective Application of IT Research Results: A Framework for Encapsulating the Context and Findings of Research Studies
dc.typeConference Paper
dc.type.dcmiText

Files

Original bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
paper0133.pdf
Size:
1.06 MB
Format:
Adobe Portable Document Format
Download

Collections

Business Intelligence, Analytics and Cognitive: Case Studies and Applications (COGS) Minitrack