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ECONOMIC EFFICIENCY OF TELEWORK IMPLEMENTATION FOR IT TEAMS. METHODOLOGICAL BACKGROUND AND A CASE STUDY

100%
Dyczkowski M.
Information Systems in Management
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2012
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vol. 1
|
issue 3
184-196
EN
The paper looks into selected problems relating to the evaluation of economic efficiency of telework implementation for IT teams. Telework is a form of employment which can be successfully used in most of IT activities and professions. The need for rationalizing constantly growing labor costs makes it necessary to implement telework programs in IT teams. The author presents the methodological background for a study of economic efficiency of such programs based on the Cost-Benefits Analysis (CBA). Estimates of expected benefits are based on Key Goal Indicators (KGI) and Key Performance Indicators (KPI) recommended in the PO7 Manage IT Human Resources process of the COBIT® (Control Objectives for Information and related Technology) 4.1 model. The validity of a suggested approach is then verified on a real example of IT telework program implemented in a large organization, with detailed effectiveness assessments included in the article.
2
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Inteligentny kokpit menedżerski jako innowacyjny system wspomagający zarządzanie w MŚP

51%
Korczak J., Dudycz H., Dyczkowski M.
Informatyka Ekonomiczna
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2014
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issue 1(31)
288-303
EN
The article presents the key elements of the Intelligent Management Dashboard InKoM. The InKoM system was designed, built and implemented in the TETA BI environment as the fundamental product of a project which research and commercialization phases were conducted in 2012-2014. The innovative Intelligent Dashboard for SMEs Managers developed by the consortium is both a supplement to and an extention of the TETA BI system, which is a set of business intelligence solutions marketed by UNIT4 TETA BI Center. The major innovation of the InKoM system lies in a very wide application of methods, techniques and tools for visual data exploration in the field of economic and financial knowledge. The creators of the system believe that the approach they adopted and the solutions they developed provide managers of SMEs with some advanced analytical and information tools which had not been available for them earlier and which improve the quality, effectiveness and efficiency of decision-making processes. It should be added that the project InKoM and the system created under it are the examples of collaboration and knowledge transfer between a scientific research institution, a commercial manufacturer of business software and business practitioners, cooperation without which it is impossible to develop innovative solutions to support management.
3
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Specification of financial knowledge – the case of an intelligent dashboard for managers

51%
Korczak J., Dudycz H., Dyczkowski M.
Informatyka Ekonomiczna
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2013
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issue 2(28)
56-76
EN
The article presents the approach to the definition the financial knowledge used for an Intelligent Dashboard for Managers. The content of the knowledge is focused on essential concepts related to the management of micro, small and medium enterprises. Knowledgebased functions, not previously available in commercial systems, increase the quality, effectiveness, and efficiency of the decision-making process. The Intelligent Dashboard for Managers contains six ontologies describing areas of Cash Flow at Risk, Comprehensive Risk Measurement, Early Warning Models, Credit Scoring, Financial Market, and General Financial Knowledge. In the article we presented the process, used in the InKoM project, of creating ontology, particularly the stage of encoding ontology in a formal way in Ontopia. This description was illustrated with the example of creating ontology of Credit Scoring.
4
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Ontologiczna reprezentacja wiedzy finansowej w systemie wspomagania decyzji

51%
Dudycz H., Korczak J., Dyczkowski M.
Studia Ekonomiczne
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2014
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vol. 199
36-45
EN
The article presents the approach to develop the financial knowledge used for the Decision Support System. The content of the knowledge is focused on essential concepts related to the management of micro, small and medium enterprises. Knowledge-based functions, not previously available in commercial systems, increase the quality, effectiveness, and efficiency of the decision making process. The Decision Support System for SME Managers contains six ontologies describing areas of Cash Flow at Risk, Comprehensive Risk Measurement, Early Warning Models, Credit Scoring, Financial Market, and General Financial Knowledge. The ontology design process and examples of topic maps and usage in financial data analysis are presented here.
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