Enacting skilful performance in organizations: (the practice of turning theory into practice)
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14560%2F15%3A00086179" target="_blank" >RIV/00216224:14560/15:00086179 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1145/2809563.2809565" target="_blank" >http://dx.doi.org/10.1145/2809563.2809565</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1145/2809563.2809565" target="_blank" >10.1145/2809563.2809565</a>
Alternative languages
Result language
angličtina
Original language name
Enacting skilful performance in organizations: (the practice of turning theory into practice)
Original language description
Pointing out flaws and errors can be a risky pastime for employees, when the information therein conflicts with rules, practices and theories held dear by management. However, skilful performance is not about strictly adhering to established practice when seeking ways out of problem situations. Instead, it is shown that skilful performance arises out of shared meaning rather than accuracy. Particularly in the event of uncertainty, equivocation and doubt, people in organizations should not just follow given rules, practices and theories, but jointly classify, interpret and transform observed data into new knowledge that feeds back, so that subsequent action and its justification can tap into the prevailing business climate, reduce ambiguity, and offer more exciting prospects. A systemic approach is applied to generalize the construction, processing and justification of knowledge to establish meaning within an organization in order to sustainably improve its performance.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
AE - Management, administration and clerical work
OECD FORD branch
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Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2015
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
i-KNOW '15 Proceedings of the 15th International Conference on Knowledge Technologies and Data-driven Business
ISBN
9781450337212
ISSN
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e-ISSN
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Number of pages
4
Pages from-to
91-94
Publisher name
Association for Computing Machinery (ACM)
Place of publication
New York, USA
Event location
Graz, Rakousko
Event date
Oct 21, 2015
Type of event by nationality
EUR - Evropská akce
UT code for WoS article
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