A confirmatory factor analysis of consumer styles inventory: Evidence from Greece

Tarnanidis, Theodore; Owusu‐Frimpong, Nana; Nwankwo, Sonny; Omar, Maktoba

doi:10.1016/j.jretconser.2014.07.001

Cited by 37 publications

(35 citation statements)

References 46 publications

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“…The study sets out to investigate important attributes that affect tourism decisions, as identified from the relevant literature (Alegre, Mateo, and Pou 2013;Chikweche and Fletcher 2010;Sanchez et al 2006;Sinkovics, Leelapanyalert, and Yamin 2010;Tarnanidis et al 2015;Thrane and Farstad 2011). Thus, all combinations of binary states (meaning their presence or absence) for the following five attributes were evaluated: job vulnerability, disposable income available for tourism, marketing activities, price issues, and quality issues.…”

Section: Study Tenetsmentioning

confidence: 99%

Economic Recession, Job Vulnerability, and Tourism Decision Making: A Qualitative Comparative Analysis

Παπαθεοδώρου

Παππάς

2016

Journal of Travel Research

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Occupational uncertainty has a considerable effect upon consumer decisions during a recession, especially with respect to discretionary products and services such as tourism. Using Qualitative Comparative Analysis (QCA), the study examines the complex relations among job vulnerability, disposable income for tourism, marketing activities, and price and quality issues for Greek holiday makers returning from their vacations. The article also compares QCA with the two dominant linear methods of analysis (i.e. correlation and regression) and highlights the suitability of QCA when dealing with complexity in tourism. The results reveal four configurations explaining the attributes of Greek residents' tourism decisions, characterized by value-for-money orientation, achievement of best available purchase, psychological strengthening, and price sensitivity. The study also employs predictive validity for the presented models. The findings are valid from both a methodological and managerial perspective suggesting new research insights.

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Section: Study Tenetsmentioning

confidence: 99%

Economic Recession, Job Vulnerability, and Tourism Decision Making: A Qualitative Comparative Analysis

Παπαθεοδώρου

Παππάς

2016

Journal of Travel Research

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“…If it is possible to explain the dependence of variables using common factors, the partial correlation coefficients are very small, close to zero. To assess the suitability of the factor analysis, two tests can be used (Tarnanidis et al, 2015;Conti et al, 2014): (1) For the purposes of verification of the factor analysis Cronbach's alpha indicator must be used. This indicator is understood as a reliability coefficient, used as a kind of analogy with the correlation coefficient.…”

Section: Methodsmentioning

confidence: 99%

Agricultural Sector Performance Evaluation in Terms of Financial Indicators: A Comparison of Czech Republic, Slovakia and Western Balkan States

Hornungová¹,

Milichovský²

2018

Acta Univ. Agric. Silvic. Mendelianae Brun.

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Agriculture and food industry have become part of strategic areas for each country and each region of Europe. Important condition on companies in group A (according NACE classification) is fulfilling requirements of management in performance of financial area. Traditional financial indicators (calculated from accounting data) are still used to evaluate performance level, what have been considered to be the most appropriate approach over a long period of time in spite of different accounting and financial indicators. The main objective is to find crucial factors in the field of financial performance for agriculture companies in chosen region. Data from 10438 agricultural companies have been get from Amadeus database and analysed. For purpose of the paper there were used factor analysis, Pearson chi-square test for independence, and correspondence analysis. By application of factor analysis has reduced the basic set, originally formed by seven key financial indicators, into seven indexes according analysed countries. All observed factors were put into Pearson's chi-square test to indicate the dependency between indexes and (1) company size and (2) NACE classification. Finally, there was applied correspondence analysis, by which were found out clusters of countries, industries and size.

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“…The partial correlation coefficient shows a similarity of two variables in such a situation that the other variables are assumed constant. If it is possible to explain the dependence of variables using common factors, the partial correlation coefficients are very small, close to zero (Tarnanidis et al, 2015;Conti et al, 2014).…”

Section: Methodsmentioning

confidence: 99%

Financial Key Performance Indicators in Engineering Companies

Milichovský

2015

Period. Polytech. Soc. Man. Sci.

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A confirmatory factor analysis of consumer styles inventory: Evidence from Greece

Cited by 37 publications

References 46 publications

Economic Recession, Job Vulnerability, and Tourism Decision Making: A Qualitative Comparative Analysis

Economic Recession, Job Vulnerability, and Tourism Decision Making: A Qualitative Comparative Analysis

Agricultural Sector Performance Evaluation in Terms of Financial Indicators: A Comparison of Czech Republic, Slovakia and Western Balkan States

Financial Key Performance Indicators in Engineering Companies

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