An advanced knowledge-based analysis of company vision statements

Kaiser, Alexander ORCID: https://orcid.org/0000-0002-9439-9176 and Baumgartner, Lisa-Maria ORCID: https://orcid.org/0000-0002-4258-8362 and Grill, Anna Katharina and Neumaier, Sebastian (2022) An advanced knowledge-based analysis of company vision statements. In: Proceedings of the 55th Hawaii International Conference on System Sciences. Hawaii International Conference on System Sciences (HICSS). ScholarSpace University of Hawaii at Manoa, Honolulu. pp. 5516-5525. ISBN 978-0-9981331-5-7

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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.

Item Type: Book Section
Keywords: Applications in Practice, organizational vision, vision content, knowledge-based vision analysis
Divisions: Departments > Wirtschaftsinformatik u. Operations Mgmt > Data, Process and Knowledge Management > Wissensmanagement
Kompetenzzentren > Sustainability Transf. & Responsibility
Version of the Document: Published
Depositing User: Gertraud Novotny
Date Deposited: 28 Dec 2021 13:40
Last Modified: 28 Dec 2021 13:40
Related URLs:
FIDES Link: https://bach.wu.ac.at/d/research/results/102733/
URI: https://epub.wu.ac.at/id/eprint/8497

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