Cash holdings of politically connected firms

Politically connected firms benefit from soft-budget constraints and are unlikely to suffer from liquidity constraints. This argument suggests that politically connected firms should hold less cash than non-connected peers. Another view posits that these firms exhibit acute corporate governance problems. In this setting, politically connected firms are more likely to hold more cash than non-connected firms. Using a sample of 50,119 firm-year observations from 31 countries, we find that politically connected firms hold more cash than their non-connected peers. We put forth two explanations for this result. Firstly, politicians use politically connected firms as “cash cows” to advance their political agendas. Secondly, political connections are conducive to agency problems. In additional analyses, we find that the positive relationship between political connections and cash holdings is stronger when corporate governance is weak.     

Foreign direct investment in the privatisation of the Polish economy

In the 1990s a major change took place in the ownership structure in the Polish economy, with a dramatic shift towards the private sector. The following article examines the different ways in which privatisation has taken place, the penetration of foreign capital into the Polish economy and the role which foreign direct investment has played in the transformation process. The author is an expert of the Goansk Institute for Market Economics; she would like to thank Catherine Lockhead-Strzępka, Institute of Economics at the University of Information Technology in Rzeszów, for corrections to the English translation.     

The Use of Information and Communication Technologies (ICTs) in Tourist Information and Promotion of the Polish Carpathians in Foreign Tourism Markets

The recent years have been a time of rapid development of information and communication technologies (ICTs) in tourism. The objective of this article is to analyse and assess the use of ICTs in tourist information and promotion of selected municipalities in the Polish Carpathians, the largest region of mountain tourism in Poland. Particular attention was paid to the activities taken by DMOs, local entrepreneurs and cultural institutions. The use of ICTs in the Polish Carpathians is at a relatively advanced level, but still not sufficient enough to make these solutions a fully effective tool in building a strong regional brand in the international tourism markets.     

Pareto efficient allocation of an in-motion wireless charging infrastructure for electric vehicles in a multipath network

Electric vehicles (EV) use an eco-friendly technology that limits the greenhouse gas emissions of the transport sector, but the limited battery capacity and the density of the battery are the major barriers to the widespread adoption of EV. To mitigate this, a good method seems to be the innovative wireless charging technology called ‘On-Line EV (OLEV)’, which is a contactless electric power transfer technology. This EV technology has the potential to charge the vehicle’s battery dynamically while the vehicle is in motion. This system helps to reduce not only the size of the battery but also its cost, and it also contributes to extending the driving range before the EV has to stop. The high cost of this technology requires an optimal location of the infrastructure along the route. For this reason, the objective of this paper is to study the problem of the location of the wireless charging infrastructure in a transport network composed of multiple routes between the origin and the destination. To find a strategic solution to this problem, we first and foremost propose a nonlinear integer programming solution to reach a compromise between the cost of the battery, which is related to its capacity, and the cost of installing the power transmitters, while maintaining the quality of the vehicle’s routing. Second, we adapt the multi-objective particle swarm optimization (MPSO) approach to our problem, as the particles were robust in solving nonlinear optimization problems. Since we have a multi-objective problem with two binary variables, we combine the binary and discrete versions of the particle swarm optimization approach with the multi-objective one. The port of Le Havre is presented as a case study to illustrate the proposed methodology. The results are analyzed and discussed in order to point out the efficiency of our resolution method.     

Predictors of export performance in developing economies: a longitudinal analysis of Moroccan SMEs

Purpose: To help increase understanding of the export performance, we investigate the influence of firm size, research and development (R&D), advertising expenditures and network relationships, and develop a conceptual model to increase export intensity. Design/methodology/approach: The research involved a four-year longitudinal study of export performance of 168 exporting SMEs in Morocco (672 observations). The two-stage least square estimation (G2SLS) was used to test the hypotheses. Findings: The findings of the two-stage least square estimation (G2SLS) suggest that export sales and domestic sales are interdependent and influence each other. R&D expenditures and network affiliation have positive and significant impact on export sales, while advertising expenditure has a negative and significant influence on export sales. Research limitations/implications: Readers should use caution in generalizing the findings unless verified in other developing contexts. Practical implications: The findings of this study are useful for managers and export policy makers in developing countries. A proper understanding of the predictors of export performance may help them encourage the growth and diversification of exports that is so vital for developing countries. Originality/value: Export performance is a key element in the field of international marketing. Unfortunately, the literature exhibits a lack of empirical studies in developing countries, particularly in Maghreb regions. The empirical testing of the theoretical model in a developing economy is a significant contribution to fill the needed gap in the literature toward generalizing findings.     

The effect of control priming on irresponsible financial behavior

Debt has reached staggering levels among North Americans. Unfortunately, there is deficiency of research that investigates effective means of helping consumers control their debt. We examine how control priming changes consumers’ irresponsible financial behavior. We show that control priming reduces credit card spending and intentions to take credit card risk. We also demonstrate that consumers who score high on self-esteem are more likely to benefit from control priming while those who score low on self-esteem show a backlash effect.     

The characteristic function of rough Heston models

It has been recently shown that rough volatility models, where the volatility is driven by a fractional Brownian motion with small Hurst parameter, provide very relevant dynamics in order to reproduce the behavior of both historical and implied volatilities. However, due to the non‐Markovian nature of the fractional Brownian motion, they raise new issues when it comes to derivatives pricing. Using an original link between nearly unstable Hawkes processes and fractional volatility models, we compute the characteristic function of the log‐price in rough Heston models. In the classical Heston model, the characteristic function is expressed in terms of the solution of a Riccati equation. Here, we show that rough Heston models exhibit quite a similar structure, the Riccati equation being replaced by a fractional Riccati equation.     

Lean Implementation in Small and Medium‐Sized Enterprises in Less Developed Countries: Some Empirical Evidences From North Africa

The purpose of this paper is to provide an exploration and analysis of lean implementation in small and medium‐sized enterprises (SMEs) in less developed countries. Therefore, exploratory empirical evidences were collected from a survey study among a sample of 84 SMEs in North Africa. Moreover, statistical tests were conducted to assess the overall picture of lean among SMEs in this region. Although SMEs have expressed their immense need for lean, the level of its implementation is found to be very low. The findings could encourage further extensive studies to develop strategies to promote the use of lean in these countries.     

How do consumers categorize new hybrid products?

This article investigates how consumers categorize new hybrid products (NHPs). Given the limitations of the classical theories of categorization in the specific case of NHP, affordance, mobilized infrequently in marketing, turned out to be a useful categorization concept. Five types of NHP categorizations by consumers, based on the degree of affordance (low vs. high) and type of innovation (incremental vs. radical), have been detected and filled a gap in the literature on the subject.