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.

Tourism Firms' Strategic Flexibility: the Case of Slovenia

Abstract: Strategic flexibility provides an approach for tourism destinations to respond more readily to turbulent environments. It is a management method that can assist tourism suppliers to meet the challenges of achieving competitive advantage. The paper also explores the importance that is accorded to the facilitators or drivers of strategic flexibility by Slovenian tourism industry stakeholders along with their performance in actioning these drivers. Importance performance analysis suggests the priority strategic actions to reduce the risk of strategic drift. The paper concludes with an assessment of the implications of these findings for emerging destinations generally. Copyright © 2013 John Wiley & Sons, Ltd. Received 1 February 2012; Revised 5 November 2012; Accepted 13 November 2012

Intergenerational Transfers as a Response to Changes in the Housing Market in Slovenia

Abstract: In our paper we analyze the incidence of intergenerational family transfers in relation to the changing conditions in the housing market and the market for housing finance and transformations in the institutional framework. The results imply that the incidence of intergenerational transfers is tied to the changing conditions in the housing market and the prevailing level of interest rates. Intergenerational transfers for a home purchase therefore act as an informal source of housing finance and play a strong cushioning role in terms of the harsh market conditions along with a housing policy that gives households hardly any alternative to homeownership.

Innovation Cooperation and Innovation Activity of Slovenian Enterprises

Abstract: Innovation cooperation has been recognised as an important determinant of enterprises' innovation activity, productivity, and growth, and has recently become the subject of intensive research. We explore the importance of innovation cooperation for the innovation activity of Slovenian enterprises, what kind of innovation cooperation is the most productive for innovation activities, and whether the location and foreign ownership of innovation cooperation matters. Probit estimations confirmed external innovation cooperation as one of the most important incentives for innovation activity, after RD while inter-firm innovation cooperation significantly increases the probability of innovation, this was not found regarding cooperation with universities and RD the contribution of EU partners to innovation activity was the highest (higher then that of domestic partners), while partners from other locations may even decrease the probability of innovation.

The Interplay among Prosocial Motivation, Cultural Tightness, and Uncertainty Avoidance in Predicting Knowledge Hiding

Abstract: In this paper we raise questions regarding the socio-cultural aspects of knowledge hiding. Specifically, we aim to deepen understanding regarding the role that national cultural dimensions and motivation plays in stimulating or preventing knowledge hiding. We investigate a three-way interaction between prosocial motivation, cultural tightness, and uncertainty avoidance to explain knowledge hiding in organizations. Our field studies involved working professionals from Slovenia ( n = 123) and China ( n = 253). Results show that the highest level of knowledge hiding was present when employees had a combination of a low level of prosocial motivation, a low level of cultural tightness, and a low level of uncertainty avoidance. The highest levels of knowledge hiding were present when employees are not motivated by the welfare of others, who are inclined to take risk and who perceive that who know that deviation from culture norms will not be sanctioned. We discuss the contributions and implications of our two studies for the fields of knowledge hiding and cross-cultural organizational behavior. DOI: 10.15458/85451.71

Are There Any Reliable Leading Indicators for U.S. Inflation and GDP Growth

Abstract: In this paper we evaluate the relative merits of three approaches to information extraction from a large data set for forecasting, namely, the use of an automated model selection procedure, the adoption of a factor model, and single-indicator-based forecast pooling. The comparison is conducted using a large set of indicators for forecasting US inflation and GDP growth. We also compare our large set of leading indicators with purely autoregressive models, using an evaluation procedure that is particularly relevant for policy making. The evaluation is conducted both ex-post and in a pseudo real time context, for several forecast horizons, and using both recursive and rolling estimation. The results indicate a preference for simple forecasting tools, with a good relative performance of pure autoregressive models, and substantial instability in the leading characteristics of the indicators.