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Institution

University of Ljubljana, Faculty of Economics

About: University of Ljubljana, Faculty of Economics is a based out in . It is known for research contribution in the topics: Productivity & Tourism. The organization has 251 authors who have published 533 publications receiving 16109 citations.


Papers
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Journal ArticleDOI
TL;DR: In this paper, the authors examine a successful business strategy framework, the Blue Ocean Strategy, to discover conditions for high growth and reveal a gap between the macro level of economic policy making to achieve higher growth and the micro level of business growth.

53 citations

Journal ArticleDOI
TL;DR: In this paper, the authors show incremental influence of economic incentives over prescriptions from accounting standards by financial statement preparers in a code-law setting with high alignment between financial and tax reporting and no agency problems.
Abstract: Using a large sample of small private companies, we show incremental influence of economic incentives over prescriptions from accounting standards by financial statement preparers in a code-law setting with high alignment between financial and tax reporting and no agency problems. Contrary to predictions from standards, more profitable companies are more likely to write-off and the write-off magnitude is greater, reflecting tax minimisation. Larger companies are more likely to write-off, but the magnitude decreases with size, reflecting increasing political costs due to greater visibility to tax authorities. Previous write-off patterns and magnitudes are persistent, reflecting institutional learning linked to regulatory changes.

53 citations

Journal ArticleDOI
TL;DR: The results demonstrate that meeting points can significantly increase the number of matched participants as well as the system-wide driving distance savings in a ride-sharing system.
Abstract: We investigate the potential benefits of introducing meeting points in a ride-sharing system. With meeting points, riders can be picked up and dropped off either at their origin and destination or at a meeting point that is within a certain distance from their origin or destination. The increased flexibility results in additional feasible matches between drivers and riders, and allows a driver to be matched with multiple riders without increasing the number of stops the driver needs to make. We design and implement an algorithm that optimally matches drivers and riders in large-scale ride- sharing systems with meeting points. We perform an extensive simulation study to assess the benefits of meeting points. The results demonstrate that meeting points can significantly increase the number of matched participants as well as the system-wide driving distance savings in a ride-sharing system.

51 citations

Posted Content
TL;DR: In this paper, the influence of different forms of workers' participation on the power of management and experts in carrying out the restructuring of the Slovenian firms is discussed. But the main aim of this paper is to discuss the influence that workers' participations have on the management's and experts' power.
Abstract: The main aim of our paper is to discuss the influence of the different forms of the workers' participation on the power of management and experts in carrying out the restructuring of the Slovenian firms. The firms with the strongest influence of the management and the experts resulted to be more successful in developing the strategic way of thinking, to have clearer and more defined strategies and goals and to adapt better to the international competition. Our empirical analysis further confirms the hypothesis that the management and experts have a stronger influence in the firms with higher internal ownership, younger management and in those that have successfully implemented the intra-firm bargaining. On the other hand, the management and experts' power is negatively correlated with the percentage of the workers' representatives on the Supervisory Board.

51 citations

Journal ArticleDOI
TL;DR: A novel predictor selection procedure based on non-parametric regression and classification tree method (CART) is provided and it is shown that a simple logit model with dummy variables created in accordance with the nodes of estimated classification tree outperforms both standard logitmodel with step-wise-selected financial ratios, and CART itself.
Abstract: Balance-sheet data offer a potentially large number of candidate predictors of corporate financial failure. In this paper we provide a novel predictor selection procedure based on non-parametric regression and classification tree method (CART) and test its performance within a standard logit model. We show that a simple logit model with dummy variables created in accordance with the nodes of estimated classification tree outperforms both standard logit model with step-wise-selected financial ratios, and CART itself. On a population of Slovenian companies our method achieves remarkable rates of precision in out-of-sample bankruptcy prediction. Our selection method thus represents an efficient way of introducing non-linear effects of predictor variables on the default probability in standard single-index models like logit. These findings are robust to choice-based sampling of estimation samples.

50 citations


Authors

Showing all 251 results

NameH-indexPapersCitations
Larry Dwyer5428210945
Peter Trkman361146641
Fabrizio Coricelli321424223
Miha Škerlavaj27933436
Aleš Popovič26813337
Bostjan Antoncic25616786
Irena Vida24592010
Miroslav Verbič211221427
Matej Černe21781933
Vlado Dimovski201141790
Tanja Mihalič20572523
Mateja Drnovsek20422543
Joze P. Damijan20661566
Jože P. Damijan19541743
Mojca Indihar Štemberger18551762
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
20213
20204
201920
201828
201737
201648