Knowledge based case studies

J. Havlíček, J. Hron and I. Tichá
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J. Havlíček: Czech University of Agriculture, Prague, Czech Republic
J. Hron: Czech University of Agriculture, Prague, Czech Republic
I. Tichá: Czech University of Agriculture, Prague, Czech Republic

Agricultural Economics, 2006, vol. 52, issue 12, 552-559

Abstract: In the present development of a knowledge society and with the increasing impact of knowledge on economic growth, case studies have become vehicles of knowledge which can both store and transfer it. Knowledge based case studies describe the best practices as well as solutions of complex problems. Knowledge in case studies is described in both written and symbolic form. The content and form of knowledge based case studies should be in mutual equilibrium. Knowledge based case studies are both descriptions of methods and algorithms as well as narratives. As narratives, they should have a relevant literary quality. Case studies can involve mass media into their structure and use simulation techniques as well as techniques of entrepreneurial games. Case studies can thus be both dynamic and flexible. Users can personally influence the behaviour and evolution of the process. They can choose their role in the process and can also change it whilst performing the solution. Social, cultural and traditional values are respected during all steps leading to solutions of problems. Ecological aspects and conditions of sustainable development are taken into account when solutions are analysed, recommended and accepted. Case studies present the best practices which enable users to provide benchmarking examples of their own solutions. Data bases of case studies should provide more dimensions containing descriptors which characterize the studies. In the following article, six descriptors will be recommended: domains, objectives, critical success factors, indicators, the best practices explanations and case characteristics. These enable to sort out, categorize, classify and stratify studies in a data base and are helpful in assessing their quality. A vertical structure of the data base facilitates classification and ordering of studies according to subject areas. A horizontal structure of the database enables classification of case studies from the user point of view.

Keywords: data; information; knowledge; case study; complex problem; knowledge based case study; best practices; benchmarking; database of case studies (search for similar items in EconPapers)
Date: 2006
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DOI: 10.17221/5063-AGRICECON

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