The effectiveness of fiscal spending in Croatia,Slovenia and Serbia: the role of trade openness and public debt level

Various structural characteristics of economies, directly or indirectly, affect the transmission from government stimuli to economic activity and determine the size of fiscal multipliers. In this article, we expand the standard Blanchard–Perotti fiscal SVAR model by incorporating the public debt and trade openness variables to assess the influence of these structural determinants on the effectiveness of fiscal spending in three selected former Yugoslav countries – Slovenia, Croatia and Serbia. The results confirmed the main hypotheses, which state that public debt level and trade openness significantly affect the effectiveness of fiscal spending through the means of reduction in size of fiscal effects in all countries analysed. When comparing internationally, this reduction tends to be more evident in countries with a higher degree of average public debt level and trade openness.     

Managing safety risks in helicopter maritime operations

Nowadays, helicopters have been used in maritime transportation to serve offshore platforms. This paper outlines methodology for assessing safety risks by operating in the vicinity of helidecks. During each flight, decisions must be made regarding the events that involve interactions between the four safety risk elements – the pilot in command, the aircraft, the environment and the operation. This paper evaluates helicopter crash statistics based on region and flight phase. Data collected were used for developing methodology for computing the helicopter impact frequency into facility of interest. The analysis for helicopter impact frequency calculations is based on number of operations, crash rate, frequency, average length of flight and crash area. Furthermore, the conclusion was defined based on future measurements for helicopter accidents mitigation or reduction. The presented paper contributes to safety risk assessment in helicopter maritime operations.     

An Empirical Investigation of Brand Equity: A Cross-Country Validation Analysis

ABSTRACT

The purpose of this article is to propose and test a model in order to better understand brand equity. The goal of this research is to identify the drivers and determine how they influence brand equity performance in the researched industry in order to develop a more effective brand strategy. Quantitative data collected are used to test a model of brand value in the context of the food industry. The findings of this research provided evidence that the customer-based brand equity model can be applied to the food industry context and be used to guide marketing activities internationally. Brand awareness has a positive influence on brand associations and perceived quality. Brand associations have a positive influence on brand loyalty. Finally, brand loyalty, perceived quality, and brand associations all have a positive effect on brand equity. This study contributes to the scarce international brand equity literature by testing the proposed model using data from a sample of consumers in two European countries.     

Conceptual and mathematical model for quality improvement in health care

Numerous studies have shown that implemented models for quality assurance or improvement in healthcare facilities differ, even those models that are based on the same guidelines, i.e. standards, regulations or concepts. The cause of diversity in implemented quality models could be found in the process of translating guidelines into the implemented model for quality assurance or improvements in healthcare facilities, while neglecting processes of healthcare facilities that are not clinical processes, but still responsible for the quality of healthcare services. Therefore, this research recommends a conceptual model that should be a link between guidelines, implemented models and mathematical models derived from the conceptual model, which could provide a means of evaluating quality values of any part of the healthcare organization.     

A new non-linear AR(1) time series model having approximate beta marginals

We consider the mixed AR(1) time series model $$X_t=\left\{\begin{array}{ll}\alpha X_{t-1}+ \xi_t \quad {\rm w.p.} \qquad \frac{\alpha^p}{\alpha^p-\beta ^p},\\ \beta X_{t-1} + \xi_{t} \quad {\rm w.p.} \quad -\frac{\beta^p}{\alpha^p-\beta ^p} \end{array}\right.$$ for ?1 < β ^p ≤ 0 ≤ α ^p  < 1 and α ^p ? β ^p  > 0 when X _t has the two-parameter beta distribution B₂(p, q) with parameters q > 1 and ${p \in \mathcal P(u,v)}$ , where $$\mathcal P(u,v) = \left\{u/v : u < v,\,u,v\,{\rm odd\,positive\,integers} \right\}.$$ Special attention is given to the case p = 1. Using Laplace transform and suitable approximation procedures, we prove that the distribution of innovation sequence for p = 1 can be approximated by the uniform discrete distribution and that for ${p \in \mathcal P(u,v)}$ can be approximated by a continuous distribution. We also consider estimation issues of the model.     

Going beyond the traditional destination competitiveness – reflections on a smart destination in the current research

ABSTRACT

This paper reviews the literature on tourism destination competitiveness from different aspects, focusing on comparative and competitive advantages. Also, the paper highlights the importance of information and communication technologies (ICTs) in tourism destinations and their increasing impact on the achievement of destination competitiveness. Thanks to the wider application of ICTs in tourism, tourists nowadays are well informed and have access to global market which creates a new dynamic environment by creating a smart demand. Since smartness emphasizes on ICT-based tools, including smartness integration for value co-creation, it can increase and enhance destination competitiveness. In this regard, special emphasis is placed on exploring the core components of smartness and smart tourism destination.     

Determination of the most influential factors for number of patents prediction by adaptive neuro-fuzzy technique

Number of patents may be developed on the basis on different natural and science and technological factors. Number of patents prediction based on the different factors in many countries is analyzed in this investigation. These factors represent natural and science resources. The method of ANFIS (adaptive neuro fuzzy inference system) was applied to the data in order to select the most influential factors for the number of patents prediction. Five inputs are considered: research and development (R&D) resources, natural resources, quality of academic institutions, quality of collaboration with the private sector and quality of education. As the ANFIS output, number of patents is considered. The ANFIS process for variable selection is also implemented in order to detect the predominant factors affecting the prediction of number of patents. Results show that the R&D is the most influential factor for the number of patents prediction.     

A study on the competitive strategy of the universal postal service provider

We analysed how the universal postal service providers could employ their specificities to achieve an advantage over the growing competition. The basic input for the model is expert opinions. We interviewed 18 experts in five stages. As a multiple criteria decision support method, we used an analytic hierarchy process. Further, we proposed a geometric method for determining the business area where a company should focus its biggest attention to achieve the best result. By implementing the proposed model, a company should obtain two types of business directions, the first related to the proposed activities and the second to the business areas. To demonstrate the applicability of the proposed methodology, we tested and verified it in the case of the Serbian universal postal service provider which is a state-owned company called the Post of Serbia.     

Modelling perceived quality,visitor satisfaction and behavioural intentions at the destination level

Visitor perceptions of the quality of a tourist destination, satisfaction with their experience and the resulting behavioural intentions are vital for successful destination management and marketing. The purpose of our research is to explore the complex relationships between these constructs using structural equation modelling, whereby both formative and reflective constructs are included. The structural model was tested on a sample of 1056 visitors at four tourist destinations in Slovenia. The empirical validation of the conceptual model supports the research hypotheses. Destination attributes affect the perceived quality of tourist offerings, which positively relates to satisfaction as well as visitors' behavioural intentions. The link between satisfaction and behavioural intentions was also confirmed. These research findings contribute to a better understanding of which behavioural mechanisms and factors represent a viable basis for increasing customer retention at the level of individual providers as well as a destination as a whole.     

The Role and Current Status of IFRS in the Completion of National Accounting Rules – Evidence from Croatia

Abstract

We examine the changes in Croatian accounting regulation, in the context of 2013/34/EU Directive implementation and analyse indirect effects of IFRS on national reporting regulation for non-listed companies. The main goal is to determine the level of conformity between Croatian accounting rules and IFRS as adopted by EU. Analysis shows that IFRS are used in the great extent as a source for provisions in Croatian Financial Reporting Standards (CFRS). There are only a few major differences between Croatian financial reporting standards and IFRS. However, there are a number of IFRS standards that are considered not to be relevant in the context of CFRS, as CFRS are intended to be used only by SMEs. Nevertheless, the management is permitted to use provisions and guidance from IFRS, if CFRS provisions are not applicable to a certain transaction or event.