Public Directory of Journals and Books - Index PUBMS

1,620 Articles | 106 Issues | 5 Journals
Results: 11 (0.039 seconds)

Articles

# [1-11/11] Title Pages
1. Influence of world social and economic indicators’ interlinkage on the development of human potential
Issue: Vol. 12, No 4, 2019
Journal: Journal of International Studies
Authors: Elvira Y. Churilova, Viktor N. Salin, Elena P. Shpakovskaia, Oksana Yu. Sitnikova
Keywords: Human Development Index, Human Development Index Adjusted To Reflect Inequality, Gender-related Development Index, Gender Inequality Index, Legatum Prosperity Index, Education Index, Happy Planet Index, multivariate statistical analysis, cluster analysis, correlation analysis, regression analysis
JEL: J18, P50, D63, I38
79-99 (21)
2. Evaluation of selected indicators of patient satisfaction and economic indices in OECD country
Issue: Vol. 12, No 4, 2019
Journal: Economics & Sociology
Authors: Robert Stefko, Beata Gavurova, Martin Rigelsky, Viera Ivankova
Keywords: quality of healthcare, patient satisfaction, OECD, global innovation index, human development index, relations analysis, cluster analysis
JEL: I14, I15
149-165 (17)
3. Employer Brand Building: Using Social Media and Career Websites to Attract Generation Y
Issue: Vol. 11, No 3, 2018
Journal: Economics & Sociology
Authors: Michal Mičík, Kateřina Mičudová
Keywords: employer branding, social media, career websites, generation y, cluster analysis, Czech Republic
JEL: M31, M54, C38
171-189 (19)
4. The impact of technological changes on income inequality: the EU states case study
Issue: Vol. 11, No 2, 2018
Journal: Journal of International Studies
Authors: Ganna Kharlamova, Andriy Stavytskyy, Grigoris Zarotiadis
Keywords: technology, income inequality, EU, cluster analysis, model
JEL: O11, O33, O52
76-94 (19)
5. Multiple Criteria Analysis of European Union Agriculture
Issue: Vol. 9, No 3, 2016
Journal: Journal of International Studies
Authors: Marian Reiff, Kvetoslava Surmanová, Adam P. Balcerzak, Michał Bernard Pietrzak
Keywords: Multiple Criteria Decision Analysis (MCDA), Hellwig Method, Cluster analysis, Economic performance, Agriculture
JEL: C38, O13
62-74 (13)
6. Measuring the Performance of Universities through Cluster Analysis and the Use of Financial Ratio Indexes
Issue: Vol. 9, No 4, 2016
Journal: Economics & Sociology
Authors: Adela Feranecová, Andrea Krigovská
Keywords: factor analysis, cluster analysis, quality, ranking, universities, performance
JEL: I21, I22
259-271 (13)
7. Segmentation of Portuguese customers’ expectations from fitness programs
Issue: Vol. 10, No 3, 2017
Journal: Journal of International Studies
Authors: Ricardo Gouveia Rodrigues, Paulo Pinheiro, Ana Gouveia, Rui Miguel Marques Brás, Kelly de Lemos Serrano O’Hara, Paulo Alexandre de Oliveira Duarte, Maria Dulce Leal Esteves
Keywords: fitness industry, marketing segmentation, customer’s expectations, customer loyalty, designing fitness programs, customer differences, factor analysis, cluster analysis
JEL: M10, M31, M39
234-249 (16)
8. Technology and labour market in the European Union
Issue: Vol 2 No 1 (2017)
Journal: Economics, Management and Sustainability
Authors: Andreea Burciu
Keywords: cluster analysis, labour market, technology, innovation
JEL: H75, M14
36-42 (7)
9. The measurement of human development using the Ward method of cluster analysis
Issue: Vol. 10, No 2, 2017
Journal: Journal of International Studies
Authors: Ingrid Majerova, Jan Nevima
Keywords: cluster analysis, GDP per capita, human development, life expectancy at birth, lifelong education, NUTS II regions, tertiary education, Visegrad Group Plus
JEL: C38, I31, O51, R11
239-257 (19)
10. HETEROGENEITY AND CLUSTERING OF HOUSING DEMAND: CASE STUDY
Issue: Vol. 4, No 1, 2011
Journal: Journal of International Studies
Authors: Michał Głuszak, Bartłomiej Marona
Keywords: housing demand, segmentation, correspondence analysis, cluster analysis
JEL: R21
89-97 (9)
11. Large Enterprise Branches: the Case of the Czech Republic
Issue: Vol. 8, No 4, 2015
Journal: Economics & Sociology
Authors: Jan Suchacek
Keywords: location factors, first-tier affiliates, organizational structures, Czech Republic, cluster analysis
JEL: R10, R30, R39, L10, L20, L29
82-93 (12)