E
Ewa Baranowska-Prokop
Researcher at Warsaw School of Economics
Publications - 21
Citations - 69
Ewa Baranowska-Prokop is an academic researcher from Warsaw School of Economics. The author has contributed to research in topics: New Ventures & Countertrade. The author has an hindex of 5, co-authored 20 publications receiving 61 citations.
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Relationship Between Competitive Strategies and the Success Perception of Polish Born Globals
TL;DR: In this paper, two competitive models developed by M.E. Porter are applied to an original data set obtained from 256 small and medium Polish enterprises through a survey employing the CATI technique, and the outcomes of these strategies, as perceived by the companies applying them, are also evaluated against two hypotheses.
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Explaining success perception of Polish international new ventures: Four perspectives
TL;DR: In this paper, the authors evaluate the impact of the following four groups of factors on success perception by managers of Polish small and medium-sized international new ventures (SMEs INVs): competitive strategy expressed by international orientation of top management and applied marketingmix tools, competitive strategy analyzed within M.E. Porter's framework, sector-specific determinants (industrial branches), and main export markets.
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Direct offsets in international trade as a remedy for asymmetric information
TL;DR: In this paper, the authors investigate whether purchases of capital goods through direct offset transactions (OTs) could be a more beneficial form of trade than conventional market transactions (MTs), and they show that in the case of substantial uncertainty about the quality of the acquired technology, direct offsets could be the preferred form of exchange.
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Innovativeness and success perception of Polish small- and medium-sized international new ventures
TL;DR: In this article, the authors analyse the relationship between innovativeness and success perception by managers of Polish small and medium-sized international new ventures (INVs) by applying statistical analysis with the use of SPSS.