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The Use of Mobile Technology in Business – a Pilot Study of Consciousness of Polish SME Sector Organizations (Podejscie rozmyte w prototypowaniu strategii konkurencyjnoœci MSP)

Katarzyna Rostek ()
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Katarzyna Rostek: Politechnika Waraszawska, Wydzial Zarzadzania

Problemy Zarzadzania, 2015, vol. 13, issue 52, 162-175

Abstract: Supporting the decision-making in unstructured problems, such as tasks related to developing a competitiveness strategy, is difficult and inefficient without access to expert knowledge. However, not all companies, for example SMEs, have the ability to use their resources. There is a need to replace the experience and skills of experts by knowledge obtained through the analysis of data from the company and its environment. This data is usually incomplete and inaccurate, which affects the precision of decisions made. The methods of developing competitiveness strategies that are known from literature do not use available data mining techniques or fuzzy inference techniques taking into account the uncertainty of data. The proposed method, which integrates the above techniques, is an attractive alternative to the use of qualitative or qualitative-quantitative methods. The verification of the method was carried out on a group of SMEs providing medical services.

Keywords: competitiveness strategy; competitive analysis; uncertain and imprecise data; hybrid AHP; regression analysis; uzzy decision trees (search for similar items in EconPapers)
JEL-codes: D81 (search for similar items in EconPapers)
Date: 2015
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