The impact of geographic diversification on export performance of small and medium-sized enterprises (SMEs)

Two alternative diversification strategies—the geographic diversification of export sales and key market concentration—are extensively discussed in management, strategy, entrepreneurship, and economics literature. However, no conclusive evidence currently exists as to how either of these strategies affects the performance of international sales. This paper contributes to a better understanding of geographic diversification as a key dimension of the internationalization process for small and medium-sized enterprises (SMEs). In it, we analyze a comprehensive database of Polish exporters over a 3-year period to better understand the geographic diversification patterns of exporters. Based on this analysis, six propositions emerged from the export patterns examined and two viable strategies for exporting SMEs are identified: (1) concentrating on a single market and (2) a balanced approach aimed at targeting a small number of key markets, combined with a strategy of penetrating other markets. Implications for practice and future research are also discussed herein.     

Evaluating business credit risk by means of approach‐integrating decision rules and case‐based learning

This research utilizes a new approach which uses a hybrid learning system that combines two representations of knowledge: the first in a form of decision rules referring to general knowledge, and the other of single cases corresponding to exceptions or untypical situations. The Explore algorithm was chosen as a tool for inducing general rules. It generates all simple and sufficiently strong general rules from a given data set. Examples discovered by these rules are then used to identify exceptions and untypical cases. The paper discusses problems connected with tuning parameters of this approach and introduces a new procedure for this task. This methodology is applied to solve the problem of evaluating the risk of business credit applications in a Polish commercial bank. Using information about business credit applications, as described by 35 economic parameters and using five groups of banking risk, a knowledge base consisting of 70 decision rules and 15 specific cases was induced. Testing this model in the standard ‘leaving‐one‐out’ way we achieved the best classification accuracy of 81%. A comparative study showed that results obtained by other machine‐learning algorithms resulted in significantly worse classification accuracy. Copyright © 2001 John Wiley & Sons, Ltd.     

Exponential moments for HJM models with jumps

General HJM models driven by a Lévy process are considered. Necessary moment conditions for the discounted bond prices to be local martingales are derived. Under these moment conditions, it is proved that the discounted bond prices are local martingales if and only if a generalized HJM condition holds. Research supported in part by Polish KBN Grant P03A 034 29 “Stochastic evolution equations driven by Lévy noise”.     

Dual-class share structure and innovation

Using a sample of dual-class firms matched with single-class firms possessing similar antitakeover protection, we find a positive association between disproportionate insider control and patent output, quality, creativity, research and development efficiency, and chief executive officer innovative risk taking. We also find, however, that the positive effects of disproportionate control on innovation are concentrated in financially constrained firms and firms in highly competitive industries, and that the positive effects dissipate within 10 years after the initial public offering. Most important, the positive effect of dual-class structures for innovation is conditional on the presence of innovative insiders in the firm. These findings imply that entrenchment through concentrated control in the hands of uniquely innovative corporate insiders provides a positive environment for innovativeness beyond the entrenchment effects of alternative antitakeover measures.