An advanced knowledge-based analysis of company vision statements Kaiser, Alexander Baumgartner, Lisa-Maria Grill, Anna Katharina Neumaier, Sebastian 2021-12-24T18:09:55Z 2021-12-24T18:09:55Z 2022-01-04
dc.description.abstract What distinguishes a good vision? A knowledge perspective on organizational visions can be helpful in order to identify which content vision statements should include. Knowledge enablers aim to respond to the question what organizations need to know for planning effectively and performing their activities well. Previous studies identified three knowledge enablers in organizational visions: knowledge about organizational identity (OI), emerging potentiality (EP) and mutual embeddedness (ME). In this paper, we empirically tested these findings through a qualitative content analysis of a large number of Forbes-2000 companies vision statements. As a result, we detected all three knowledge enablers in our sample. Moreover, we found that the rank of companies in the Forbes 2000 list correlates not only with the occurrence of knowledge enablers, but also with the frequency of knowledge about emerging potentiality. Consequently, companies have to be supported to generate especially this knowledge enabler. Our results can contribute to research on knowledge-based vision development and inspire an ongoing discussion in the KM community about future research priorities.
dc.format.extent 10 pages
dc.identifier.doi 10.24251/HICSS.2022.672
dc.identifier.isbn 978-0-9981331-5-7
dc.language.iso eng
dc.relation.ispartof Proceedings of the 55th Hawaii International Conference on System Sciences
dc.rights Attribution-NonCommercial-NoDerivatives 4.0 International
dc.subject Reports from the Field: Knowledge and Learning Applications in Practice
dc.subject organizational vision
dc.subject vision content
dc.subject knowledge-based vision analysis
dc.title An advanced knowledge-based analysis of company vision statements
dc.type.dcmi text
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