scholarly journals CLUSTER ANALYSIS OF REGIONAL MARKETS OF AUTOCLAVE AERATED CONCRETE IN UKRAINE BY PRICE LEVEL AND SUPPLY LEVEL INDICATORS

2021 ◽  
pp. 12-22
Author(s):  
Olha Skrypnyk ◽  
Keyword(s):  
Cluster Analysis ◽  
Price Level ◽  
Regional Markets ◽  
Aerated Concrete ◽  
Supply Level

scholarly journals MEDICAL TOURISM POTENTIAL OF CENTRAL AND EASTERN EUROPE: ATTEMPT AT CLASSIFICATION

2017 ◽  
Vol 5 ◽  
pp. 286-293 ◽  
Author(s):  
Adrian Lubowiecki-Vikuk ◽  
Justyna Kurkowiak
Keyword(s):  
Cluster Analysis ◽  
Central And Eastern Europe ◽  
Clustering Algorithm ◽  
Medical Tourism ◽  
Price Level ◽  
The European Union ◽  
Agglomerative Clustering ◽  
Research Topics ◽  
Tourism Potential ◽  
Shed Light

Medical tourism potential of CEE is currently not clearly identified due to the lack of data concerning the number of medical tourists in respective countries. The aim of the present study is to shed light on potential research topics in the field of medical tourism. A detailed analysis of scientific and consulting literature was used to identify the elements of medical tourism potential. The agglomerative clustering algorithm forms distinct groups of countries that are similar with regard to that potential. Creating the statistical synthetic measures allows one to construct the ranking of countries with respect to their potential regarding medical tourism. Four distinct groups of countries emerge from the cluster analysis. It was found that the countries from the European Union (EU), which are characterized by higher economic indicators, create similar clusters and take the highest positions in the ranking. Surprisingly, the price level is not the top criterion determining the position within the classification. The obtained results fill the gap in the field of medical tourism in CEE and have implications for further research related to medical tourism. This classification could be a useful tool for the various stakeholders interested in the development potential of medical tourism in this part of Europe

scholarly journals Formation of marketing price policy of gas concrete manufacturers in regional markets of Ukraine using cluster analysis

2021 ◽  
Vol 2 (47) ◽  
pp. 72-85
Author(s):  
O. Skrypnyk
Keyword(s):  
Mutual Influence ◽  
Construction Material ◽  
Construction Materials ◽  
Price Policy ◽  
Qualitative Assessment ◽  
Pricing Policy ◽  
Regional Markets ◽  
Aerated Concrete ◽  
Real Estate Prices ◽  
Production Capacities

  The main indicators of the situation of regional markets of aerated concrete are described taking into account the radius of delivery of construction material from the manufacturer. The level of supply of aerated concrete in regional markets of Ukraine is estimated territorial distribution of imports. The mutual influence of factors and indicators of conjuncture of regional markets of aerated concrete is analyzed, the key factors of formation of the retail price are defined.  Peculiarities of pricing for construction materials and products in the conditions of oligopoly are characterized. The level of demand for aerated concrete in each region of Ukraine is estimated on the basis of data on regional construction volumes, regional real estate prices and regional price of aerated concrete. The relationship between the supply of aerated concrete in the regions of Ukraine and the level of prices for it is described. Based on the comparison of relative regional levels of demand and supply, the balance of the aerated concrete market in each region of Ukraine is determined. It is proved that the aerated concrete market in Ukraine has a clear regional segmentation, and pricing in regional aerated concrete markets corresponds to the Walras model, according to which price is not a function of demand (as in Marshall's theory of market equilibrium), but its factor. Regional clusters of the aerated concrete market of Ukraine have been formed according to the indicators of the level of prices for aerated concrete. Given their quantitative and qualitative assessment. It is proved that the production capacities of domestic producers together with the capacities of importers are sufficient to meet the demand for aerated concrete in Ukraine, but in some industrialized regions there is a shortage of aerated concrete. It is proposed to carry out comprehensive regulation of pricing in regional markets of aerated concrete of Ukraine by producers through the formation of effective marketing pricing policy, as well as identified areas of regulation of pricing of aerated concrete products in accordance with regional (regional) aerated concrete markets in Ukraine, which should take into account key demand factors. and offers in the region.

scholarly journals Empirical development taxanomy of micro, small and medium-sized enterprises in South Moravian Region

2013 ◽  
Vol 61 (7) ◽  
pp. 2021-2031
Author(s):  
Veronika Bumberová ◽  
Vojtěch Koráb
Keyword(s):  
Cluster Analysis ◽  
New Technology ◽  
Nonparametric Tests ◽  
Chi Square ◽  
Strategic Development ◽  
Risk Diversification ◽  
Homogeneous Groups ◽  
Product Innovations ◽  
Regional Markets ◽  
The Individual

This paper represents a pilot study examining entrepreneurial behavior patterns within the area of development of micro, small and medium-sized market active enterprises in South Moravian Region from the perspective of strategic management. The main aim of this article is to classify the enterprises by the character of development activities into relatively homogeneous groups and identify those activities that contribute to considerable differences between the individual groups. Empirical evidence is based on a quantitative survey in terms of a random choice of respondents obtained by means of an e-mail questionnaire. The major analytic procedure applied within this research comprises methods of Cluster Analysis and validation technique based on chi-square and G-square nonparametric tests for testing differences (independence) of variables between the clusters. By means of Cluster Analysis three relatively homogenous SME groups were identified. The first cluster, called “global”, (approximately 6% of the respondents) prevails in most of the strategic development aspects of the researched enterprises. Global SMEs rely on development activities in the area of product innovations and risk diversification into other activities. In terms of changes in functional strategies this involves primarily the area of new technology and human resources development, and the ability to benefit from participation in networks of cooperating organizations. The second cluster, called “transition”, (approximately 59% of the respondents) is developed mainly by means of investments in business specific knowledge, and/or in technical skills of their employees. They are more conservative in the area of product innovations and risk diversification into other activities, which is then reflected in a lower level of investments in technologies and marketing. In comparison with global enterprises the major difference lies in a much lower number of activities in the area of seeking cooperation with other enterprises. The third cluster, called “local”, (approximately 35% of the respondents) chooses the way of product innovations whose supply is mostly composed of standardized products and services, especially in local or regional markets. Local enterprises, when compared to the former clusters, are typical for a lower level of business cooperation, and in fact for absence of utilizing the support programs.

Cluster analysis for large data sets: applications to individual aerosol particles from the mid-pacific

1992 ◽  
Vol 50 (2) ◽  
pp. 1488-1489
Author(s):  
Thomas W. Shattuck ◽  
James R. Anderson ◽  
Neil W. Tindale ◽  
Peter R. Buseck
Keyword(s):  
Cluster Analysis ◽  
Chemical Reactivity ◽  
Large Data ◽  
Large Data Sets ◽  
Particle Analysis ◽  
Data Sets ◽  
Halogen Chemistry ◽  
Complete Study ◽  
Components Analysis ◽  
Automated Scanning

Individual particle analysis involves the study of tens of thousands of particles using automated scanning electron microscopy and elemental analysis by energy-dispersive, x-ray emission spectroscopy (EDS). EDS produces large data sets that must be analyzed using multi-variate statistical techniques. A complete study uses cluster analysis, discriminant analysis, and factor or principal components analysis (PCA). The three techniques are used in the study of particles sampled during the FeLine cruise to the mid-Pacific ocean in the summer of 1990. The mid-Pacific aerosol provides information on long range particle transport, iron deposition, sea salt ageing, and halogen chemistry.Aerosol particle data sets suffer from a number of difficulties for pattern recognition using cluster analysis. There is a great disparity in the number of observations per cluster and the range of the variables in each cluster. The variables are not normally distributed, they are subject to considerable experimental error, and many values are zero, because of finite detection limits. Many of the clusters show considerable overlap, because of natural variability, agglomeration, and chemical reactivity.

Measuring “Language Access Profiles” in Deaf and Hard-of-Hearing Children With the DHH Language Exposure Assessment Tool

2020 ◽  
pp. 1-25
Author(s):  
Matthew L. Hall ◽  
Stephanie De Anda
Keyword(s):  
Cluster Analysis ◽  
Exposure Assessment ◽  
Hard Of Hearing ◽  
Assessment Tool ◽  
Communication Mode ◽  
Developmental Potential ◽  
Language Access ◽  
Retest Reliability ◽  
Language Exposure ◽  
Test Retest Reliability

Purpose The purposes of this study were (a) to introduce “language access profiles” as a viable alternative construct to “communication mode” for describing experience with language input during early childhood for deaf and hard-of-hearing (DHH) children; (b) to describe the development of a new tool for measuring DHH children's language access profiles during infancy and toddlerhood; and (c) to evaluate the novelty, reliability, and validity of this tool. Method We adapted an existing retrospective parent report measure of early language experience (the Language Exposure Assessment Tool) to make it suitable for use with DHH populations. We administered the adapted instrument (DHH Language Exposure Assessment Tool [D-LEAT]) to the caregivers of 105 DHH children aged 12 years and younger. To measure convergent validity, we also administered another novel instrument: the Language Access Profile Tool. To measure test–retest reliability, half of the participants were interviewed again after 1 month. We identified groups of children with similar language access profiles by using hierarchical cluster analysis. Results The D-LEAT revealed DHH children's diverse experiences with access to language during infancy and toddlerhood. Cluster analysis groupings were markedly different from those derived from more traditional grouping rules (e.g., communication modes). Test–retest reliability was good, especially for the same-interviewer condition. Content, convergent, and face validity were strong. Conclusions To optimize DHH children's developmental potential, stakeholders who work at the individual and population levels would benefit from replacing communication mode with language access profiles. The D-LEAT is the first tool that aims to measure this novel construct. Despite limitations that future work aims to address, the present results demonstrate that the D-LEAT represents progress over the status quo.

Social representations of human rights violations: Further evidence

2001 ◽  
Vol 60 (2) ◽  
pp. 89-98 ◽  
Author(s):  
Alain Clémence ◽  
Thierry Devos ◽  
Willem Doise
Keyword(s):  
Cluster Analysis ◽  
Human Rights ◽  
Costa Rica ◽  
Young People ◽  
Social Representations ◽  
Social Reality ◽  
Questionnaire Study ◽  
Human Rights Violations ◽  
High Tolerance ◽  
Individual Actions

Social representations of human rights violations were investigated in a questionnaire study conducted in five countries (Costa Rica, France, Italy, Romania, and Switzerland) (N = 1239 young people). We were able to show that respondents organize their understanding of human rights violations in similar ways across nations. At the same time, systematic variations characterized opinions about human rights violations, and the structure of these variations was similar across national contexts. Differences in definitions of human rights violations were identified by a cluster analysis. A broader definition was related to critical attitudes toward governmental and institutional abuses of power, whereas a more restricted definition was rooted in a fatalistic conception of social reality, approval of social regulations, and greater tolerance for institutional infringements of privacy. An atypical definition was anchored either in a strong rejection of social regulations or in a strong condemnation of immoral individual actions linked with a high tolerance for governmental interference. These findings support the idea that contrasting definitions of human rights coexist and that these definitions are underpinned by a set of beliefs regarding the relationships between individuals and institutions.

How Do People Share Their Positive Events?

2016 ◽  
Vol 37 (4) ◽  
pp. 250-259 ◽  
Author(s):  
Cara A. Palmer ◽  
Meagan A. Ramsey ◽  
Jennifer N. Morey ◽  
Amy L. Gentzler
Keyword(s):  
Cluster Analysis ◽  
Communication Technology ◽  
Big Five ◽  
Well Being ◽  
Big Five Personality Traits ◽  
Big Five Personality ◽  
Positive Events ◽  
Growing Body ◽  
Sharing Patterns ◽  
Practical Implications

Abstract. Research suggests that sharing positive events with others is beneficial for well-being, yet little is known about how positive events are shared with others and who is most likely to share their positive events. The current study expanded on previous research by investigating how positive events are shared and individual differences in how people share these events. Participants (N = 251) reported on their likelihood to share positive events in three ways: capitalizing (sharing with close others), bragging (sharing with someone who may become jealous or upset), and mass-sharing (sharing with many people at once using communication technology) across a range of positive scenarios. Using cluster analysis, five meaningful profiles of sharing patterns emerged. These profiles were associated with gender, Big Five personality traits, narcissism, and empathy. Individuals who tended to brag when they shared their positive events were more likely to be men, reported less agreeableness, less conscientiousness, and less empathy, whereas those who tended to brag and mass-share reported the highest levels of narcissism. These results have important theoretical and practical implications for the growing body of research on sharing positive events.

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