Information technology developments of logistics service providers in Hungary

The objective of this research is to examine the role of sector-specific information technology (IT) developments and their significance in terms of the revenue and earnings before tax of Logistics Service Providers (LSPs), as well as the impact of these developments on the flexibility and integration of LSPs. A survey questionnaire was conducted with 284 LSPs participants. The data provided by the 51 responding enterprises provided a representative sample for the analysis of the sample population and the drawing of general and relevant conclusions related to basic population. It can be concluded that their revenue, earnings before tax and degree of integration into the supply chain depend on the sector-specific IT developments carried out by the given enterprise. IT investments will remain important in the future and the introduction and leveraging the best technologies may yield competitive advantages and higher financial rewards for LSPs.     

Testing Fairness Principles for Public Environmental Infrastructure Decisions

Group Decision and Negotiation - Public infrastructure decisions affect many stakeholders with various benefits and costs. For public decisions, it is crucial that decision-making processes and...     

The tourist experience of domestic VFR travellers: the case of Hungary

Visiting friends and relatives (VFR) is the main driver of domestic travel in many countries. This study is one of the first to analyse VFR travel from a perspective of tourist experience. This study aims to investigate the complex dynamics behind VFR-related travel, especially in aspects of trip activities and tourist experience formation. Based on a survey (N?=?879) examining domestic VFR travellers’ trip activities in Hungary, the paper discusses the formation of a tourist experience in context of short-haul domestic VFR travel, especially the role of influencing factors. The results reveal differences between the segments with trip motivation of visiting friends (VF) and visiting relatives (VR) – the two main types of VFR tourists. It was found that independent variables such as VF, staying for longer and participating in leisure and tourism-type activities have a positive effect on tourist experience evolvement; however, factors such as VR, being rather passive during such a visit and focusing on social acts and bonding negatively affect the formulation of a tourist experience. The paper’s novelty and uniqueness lies in applying a new perspective of analysing and discussing VFR travel: the theoretical concept of tourist experience formation.     

A framework for the analysis of global, regional and local business networks

In this article we are dealing with the global, regional and local questions of the business. We raise the following question: is there a relation between network management (networking) and the spatial type of the network. We make a cross analysis of networking and spatial types of the network. The paper builds on the model of networking (Ford et al., 2002; Ford et al., 2003; Håkansson et al., 2009), the network paradoxes (Håkansson and Ford, 2002) and the model of 6 Cs (Ritter & Ford, 2006). We emphasize the strategic importance of the interpretation of network pictures. In order to answer the research question we create a theoretical conceptual frame called the Spatial Networking Matrix. We use the method of explorative expert interview in order to introduce some experiences of company leaders and managers concerning networking and spatiality. We conclude that after further development, the Spatial Networking Matrix can help to analyze networking and spatial types of networks at once, deepen the understanding of the real business world and through all of these, be a useful tool for business practice.     

Firms as liquidity providers: Evidence from the 2007–2008 financial crisis

Using a supplier–client matched sample, we study the effect of the 2007–2008 financial crisis on between-firm liquidity provision. Consistent with a causal effect of a negative shock to bank credit, we find that firms with high precrisis liquidity levels increased the trade credit extended to other corporations and subsequently experienced better performance as compared with ex ante cash-poor firms. Trade credit taken by constrained firms increased during this period. These findings are consistent with firms providing liquidity insurance to their clients when bank credit is scarce and offer an important precautionary savings motive for accumulating cash reserves.     

Screening and valuing venture capital investments: evidence from Hungary,Poland and Slovakia

This paper examines the screening and valuation approaches used by venture capital firms in emerging markets using evidence from surveys of venture capital firms in Hungary, Poland and Slovakia. The results show notable differences in the state of development and operation of the venture capital markets both between the three countries and in comparison with the developed UK venture capital market, especially in relation to the degree of equity ownership sought by venture capitalists, the information used in deal screening and valuation methods.     

The drivers of foreign currency‐based banking in Central and Eastern Europe

Foreign currency (FX)‐based loans and deposits became very popular in Central and Eastern European countries (CEECs) over the 2000–2011 period. In this paper, I simultaneously examine the demand‐side (consumer‐related) and supply‐side (bank‐related) determinants of the quick spread of FX banking. I use a newly constructed dataset on FX and domestic currency loans, deposits and interest rates, covering 16 CEECs overtime. Local‐FX interest rate and market share spreads are: (1) lower in managed currency regimes; (2) strongly affected by the prevalence of FX funding, currency mismatch and FX banking restrictions, and (3) wider after economic crises.     

Taking care of each other: Solid economic base for living together

This paper is intended to give an insight of the thoughts and issues which emerged in a 2-day-workshop on WFSF World Conference in Budapest, Hungary in 2005, under the title of “Taking Care of Each Other” meaning the connection between the generation of present and that of the future. Our shocking findings were the following: we now live on the cost of the future's generation; we live up their futures; we let erode the values both on personal and social level; we determine their actions; we do not give them the freedom of choice; they are forced to fulfil the obligations we impose on them. The way we came to these conclusions, and some possible “solutions” we have discussed are presented in this short summary.     

Comparison of statistical analysis methods for object case best–worst scaling

Abstract

Aims: Different methods have been used to analyze “object case” best–worst scaling (BWS). This study aims to compare the most common statistical analysis methods for object case BWS (i.e. the count analysis, multinomial logit, mixed logit, latent class analysis, and hierarchical Bayes estimation) and to analyze their potential advantages and limitations based on an applied example.

Methods: Data were analyzed using the five analysis methods. Ranking results were compared among the methods, and methods that take respondent heterogeneity into account were presented specifically. A BWS object case survey with 22 factors was used as a case study, tested among 136 policy-makers and HTA experts from the Netherlands, Germany, France, and the UK to assess the most important barriers to HTA usage.

Results: Overall, the five statistical methods yielded similar rankings, particularly in the extreme ends. Latent class analysis identified five clusters and the mixed logit model revealed significant preference heterogeneity for all, with the exception of three factors.

Limitations: The variety of software used to analyze BWS data may affect the results. Moreover, this study focuses solely on the comparison of different analysis methods for the BWS object case.

Conclusions: The most common statistical methods provide similar rankings of the factors. Therefore, for main preference elicitation, count analysis may be considered as a valid and simple first-choice approach. However, the latent class and mixed logit models reveal additional information: identifying latent segments and/or recognizing respondent heterogeneity.