The Clusters of Economic Similarities between EU Countries: A View Under Recent Financial and Debt Crisis

Liapis, Konstantinos; Rovolis, Antonis; Galanos, Christos; Thalassinos, Eleftherios

doi:10.35808/ersj/380

Cited by 79 publications

(80 citation statements)

References 11 publications

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“…Particularly in the context of ecotourism services, the four variable factors considered inadequate. Thus, marketing experts add three more factors in terms of people, process, and physical evidence (Lupiyoadi, 2009;Payne, 2005;Liapis et al, 2013;Thalassinos and Dafnos, 2015;Akopova et al, 2017;Frank et al, 2016).…”

Section: Services Marketing MIXmentioning

confidence: 99%

Antecedents of Tourism Destination Image and Customer Satisfaction in Tourism Industry

Teviana¹,

Ginting²,

Lubis³

et al. 2017

ERSJ

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Marketing mix has largely adapted as antecedents for analyzing the marketing performance in many sectors. However, it applicability in tourism sector has not been explored well. This research aims to analyze customers' satisfaction on tourism destination in order to increase the number of tourists visiting in Indonesia. This novelty is reviewed in depth with relevant theoretical studies and tested in empirical research conducted on how managing marketing mix in tourism sector to boost the number of tourists to visit a destination.Model testing conducted using Structural Equation Modelling (SEM). By taking 350 respondents with purposive sampling technique, the results showed that tourism actors capable of improving marketing mix is able to improve customer satisfaction in tourism industry.

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Section: Services Marketing MIXmentioning

confidence: 99%

Antecedents of Tourism Destination Image and Customer Satisfaction in Tourism Industry

Teviana¹,

Ginting²,

Lubis³

et al. 2017

ERSJ

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“…Financial institutions, which are the key intermediaries in the financial system, faced a systematic risk that froze and decreased the capital in the real economy. The subprime mortgages were designed with an interest payment, whereby the mortgagees were planning to refinance to avoid increased mortgages rates (Acharya and Philippo, 2009 ;Liapis et al, 2013;Thalassinos, 2013;Thalassinos et al, 2012;Thalassinos et al, 2014;Thalassinos et al, 2015;). Some of our research questions are the following: • What characterizes a financial crisis according to literature?…”

Section: Literature Reviewmentioning

confidence: 99%

Model of Relationship Marketing and Power Asymmetry in Indonesia Retail Industry

Anton¹,

Basu²,

Purwanto³

et al. 2015

IJEBA

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The recent financial crisis has caused a considerable slowdown in most developed countries and has also affected financial markets and growth prospects in developing countries. As the stock market is considered the barometer of any real activity, the first signs of the financial crisis were visible through the changes registered by the above performance indicators that characterized the stock markets.The main aim of this paper is to analyze the performance of the stock market indicators during the recent financial crisis in several countries. In fact the paper is emphasizing the different ways in which the recent crisis has influenced countries with a mature capital market, as the Western European countries, Japan and the USA, and how their turn has affected the emerging ones, as the Central and Eastern European countries.The study refers to a sample of ten selected countries and through an empirical analysis of selected indicators, such as market capitalization, turnover, share price indices and other main indicators that reflect the performance of the whole capital market provides a chronological explanation of the evolution of the events on each market during the crisis period.

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“…In market segmentation, cluster analysis was applied to countries in which some indicators were defined by percentages of GDP (Day, Fox, & Huszagh, 1988;Kantar, Deviren, & Keskin, 2014;Liapis, Rovolis, Galanos, & Thalassinos, 2013;Powell & Barrientos, 2004) or correlations between GDP and various variables or cross-correlations of already clustered countries were investigated (Ausloos & Lambiotte, 2007;Franceschini, Galetto, Maisano, & Mastrogiacomo, 2010;Furnham, Kirkcaldy, & Lynn, 1996). Alternative approaches with the goal to cluster countries were performed using GDP and other variables at the same point in time (Michinaka, Tachibana, & Turner, 2011).…”

Section: Introductionmentioning

confidence: 99%

Cluster Analysis of Per Capita Gross Domestic Products

Thrun¹

2019

EBER

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A B S T R A C T Objective:The purpose of this article is to show the value of exploratory data analysis performed on the multivariate time series dataset of gross domestic products per capita (GDP) of 160 countries for the years 1970-2010. New knowledge can be derived by applying cluster analysis to the time series of GDP to show how patterns in GDP can be explained in a data-driven way. Research Design & Methods:Patterns characterised by distance and density based structures were found in a topographic map by using dynamic time warping distances with the Databionic swarm (DBS) 1 . The topographic map represents a 3D landscape of data structures. Looking at the topographic map, the number of clusters was derived. Then, a DBS clustering was performed and the quality of the clustering was verified. Findings: Two clusters are identified in the topographic map. The rules deduced from classification and regression tree (CART) show that the clusters are defined by an event occurring in 2001 at which time the world economy was experiencing its first synchronised global recession in a quarter-century. Geographically, the first cluster mostly of African and Asian countries and the second cluster consists mostly of European and American countries. Implications & Recommendations: DBS can be used even by non-professionals in the field of data mining and knowledge discovery. DBS is the first swarm-based clustering technique that shows emergent properties while exploiting concepts of swarm intelligence, self-organisation, and game theory.

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The Clusters of Economic Similarities between EU Countries: A View Under Recent Financial and Debt Crisis

Cited by 79 publications

References 11 publications

Antecedents of Tourism Destination Image and Customer Satisfaction in Tourism Industry

Antecedents of Tourism Destination Image and Customer Satisfaction in Tourism Industry

Model of Relationship Marketing and Power Asymmetry in Indonesia Retail Industry

Cluster Analysis of Per Capita Gross Domestic Products

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