Comparing the innovation performance of EU candidate countries: an entropy-based TOPSIS approach

Kaynak, Selahattin; Altuntaş, Serkan; Dereli, Türkay

doi:10.1080/1331677x.2016.1265895

Cited by 57 publications

(43 citation statements)

References 37 publications

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“…Despite close proximity, the economic conditions in the analysed countries are markedly different (Kaynak, Altuntas, & Dereli, 2017). Of the analysed countries, only Slovenia and Montenegro are those accepting the euro as a legal currency.…”

Section: Description Of the Research Samplementioning

confidence: 96%

The impact of the economic conditions on the innovation activity of the companies from selected Balkan states

Tomaszewski

Świadek

2017

Economic Research-Ekonomska Istraživanja

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The literature review reveals diverging views on the influence of economic cycles on the innovation activity of companies. This article is a voice in this discussion. It provides, empirically verified arguments, allowing one to support or reject the accepted research hypotheses. These assume that: (1) The expectations with respect to income dynamics play a more important role in stimulating innovation activity than the dynamics of (actual) income levels; and (2) Different economic structures and levels of technological development in the chosen Balkan states, despite the geographic proximity of these states and similarity in economic situation, influence the geographic differentiation in terms of the innovation activity. The obtained research results show a greater differentiation in terms of actions of companies than previously thought. It has been confirmed that when the companies sense an improvement in economic situation, their innovation activity increases, this is, however, accompanied by a noticeable anticipatory element. It turned out that the expectations regarding an improvement in economic conditions have an additional stimulating effect on such an activity, whereas the recession itself, as well as the expectations in that respect, have a de-stimulating effect. It turned out that the expectations with regard to the future economic situation are the most important here, a factor that has been neglected so far.

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Section: Description Of the Research Samplementioning

confidence: 96%

The impact of the economic conditions on the innovation activity of the companies from selected Balkan states

Tomaszewski

Świadek

2017

Economic Research-Ekonomska Istraživanja

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“…As for the methodology employed in analysing the relationships between various economic or social factors and performance in SMEs, either multiple linear regression (Moorthy et al, 2012), regression with panel data (Ipinnaiye et al, 2016), ordered logit analysis (Sheehan, 2013), causal analysis (Cahydin, 2017;Heshmati & L€ o€ of, 2008), entropy-based TOPSIS approach (Kaynak, Altuntas, & Dereli, 2017) or structural equation modelling (SEM) are used (Gupta & Batra, 2016;Katou, 2012).…”

Section: Literature Reviewmentioning

confidence: 99%

Determinants of SMEs’ performance: evidence from European countries

Cicea

Popa

Marinescu

et al. 2019

Economic Research-Ekonomska Istraživanja

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This article aims to examine how certain economic and social factors influence short-and long-term performance of small and medium enterprises (SMEs). SMEs' performance is defined by using the value added (VA) by SMEs, as a percent of the total VA by enterprises. The study targets European Union (EU) countries selected by the authors following a cluster analysis procedure. In order to obtain short-and long-term influences, an analysis that carries out three types of tests is conducted: testing stationarity, testing cointegration and testing causality between the indicators identified as influencing factors and the variable measuring the performance of SMEs. The novelty and originality of this research are defined in terms of addressing the performance of SMEs from a new perspective, using an econometric basis in a macroeconomic view. From an econometric perspective, the results are among the most varied, both in the long-and short-term, however they also have a correspondent economic explanation. ARTICLE HISTORY

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“…By calculating the GCI, it is very important to know the development stage in which the country is located so the scales can be set for the individual sub-indices. The countries are classified into individual stages based on GDP per capita, the specific stages are in Innovation performance is essential for an economy to be strong, competitive and resource efficient on the world markets (Kaynak et al, 2017). Innovation performance is highly dependent on the economic agents´ expectations regarding future economic situation on domestic and international markets (Tomaszewski & Swiadek, 2017).…”

Section: Fig 1 -The Global Competitiveness Index Structure Source: mentioning

confidence: 99%

The Impact of Innovation Performance on the Competitiveness of the Visegrad 4 Countries

Ivanova¹,

Čepel²

2018

JOC

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The economic development of world economies accompanied by their growing openness and stronger integration processes put pressure on mutual confrontation of their economic power based on its determinant sources. International comparison requires determining a complex of factors that affect the success of developed economies; factors that, given their multiplier effects, influence the social productivity of labor in a country and create a competitive advantage in an international comparison. A key factor of the states' increasing competitiveness is assumed to be the innovation performance of enterprises, which is projected through innovative business processes into the innovation performance of the economy as a whole. This paper determines the impact of their innovation performance on their international competitiveness position observed by the Global Economic Forum based on the Global Competitiveness Index (GCI). To assess the impact, the following economic-statistical methods were used: comparative and correlation analyses and logical deduction. Data from the World Economic Forum (WEF), European Innovation Scoreboard (EIS), and Eurostat database were used to process the assessment. The results of the research have led to the conclusion that the Visegrad 4 (V4) countries as transition economies in terms of their economic development are quite similar, but in the ranking of global competitiveness, their position varies depending on the innovative performance. The Czech economy is the best performing of the four, while the worst indicators are attributed to the economies of Slovakia and Hungary. The economy of Poland has a relatively balanced development. The results of these analyses have led to the creation of a discussion platform focused on the evaluation of the innovation potential status and its determinants in Slovakia, with the aim of pointing out critical areas in the country's competitiveness growth on an international scale.

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Comparing the innovation performance of EU candidate countries: an entropy-based TOPSIS approach

Cited by 57 publications

References 37 publications

The impact of the economic conditions on the innovation activity of the companies from selected Balkan states

The impact of the economic conditions on the innovation activity of the companies from selected Balkan states

Determinants of SMEs’ performance: evidence from European countries

The Impact of Innovation Performance on the Competitiveness of the Visegrad 4 Countries

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