Abstract:Research purpose. The quality means a core attribute of the product. Based on empirical assessment of the consumer, it is ascertained if the products are of high quality. However, there may be considerable counterarguments against this assessment, because quality is a subjective characteristic. For this reason, a paradoxical situation arises – the same product that we consider to be a quality product someone else may regard as insufficient quality. What is considered standard quality level in some cases may be… Show more
“…Dimension reduction was performed for both Q1 and Q2 data sets using factor analysis -specifically Principal Component Analysis (PCA). In fact, factor analysis is widely used by scholars analysing working in the field of socials sciences and researching a significant amount of data (Durana et al 2019, Lentjusenkova et al 2016.…”
The current paper aims to analyse the importance of values of young employees now and in five years period. In order to achieve the aim, the questionnaire consisting of fifty statements was developed and disseminated between the Latvian students. The sample size was 392, which shows that the results represent the whole populations. For data processing, factor analysis was chosen as a tool. The data factorability was assessed via Bartlett’s Test of Sphericity, Kaiser-Myer-Olkin (KMO) statistic, initial estimates of communality and the anti-image correlation matrix. The factors were extracted via principal axis factoring (PAF). The number of factors was determined by the scree plot/Kaiser’s rule and was equal to five in both cases. The results showed the for the young employees the essential values today are those connected to the personality trait. However, in five years, the essential values would be those that are linked to professional development.
“…Dimension reduction was performed for both Q1 and Q2 data sets using factor analysis -specifically Principal Component Analysis (PCA). In fact, factor analysis is widely used by scholars analysing working in the field of socials sciences and researching a significant amount of data (Durana et al 2019, Lentjusenkova et al 2016.…”
The current paper aims to analyse the importance of values of young employees now and in five years period. In order to achieve the aim, the questionnaire consisting of fifty statements was developed and disseminated between the Latvian students. The sample size was 392, which shows that the results represent the whole populations. For data processing, factor analysis was chosen as a tool. The data factorability was assessed via Bartlett’s Test of Sphericity, Kaiser-Myer-Olkin (KMO) statistic, initial estimates of communality and the anti-image correlation matrix. The factors were extracted via principal axis factoring (PAF). The number of factors was determined by the scree plot/Kaiser’s rule and was equal to five in both cases. The results showed the for the young employees the essential values today are those connected to the personality trait. However, in five years, the essential values would be those that are linked to professional development.
“…The initial conditions of factor analysis include: a) high correlations of a large number of variables and b) low partial correlations. Whether the correlation and partial correlation matrices satisfy the assumptions is therefore tested by various coefficients and indices, usually KMO and Bartlett's sphericity test [21,22,23], see Table 1. The value of the Kaiser-Meyer-Olkin measure (KMO), i.e.…”
Section: Resultsmentioning
confidence: 99%
“…Table 3 shows the Rotation matrix by Varimax with Kaiser Normalization and contains the structure of the individual components and their loads expressing the degree of correlation of the variable with the given component [21]. In this case, all component loads came out high enough for unambiguous interpretation.…”
Section: Resultsmentioning
confidence: 99%
“…As there are a large number of tools and techniques that can be used in content marketing, the aim of the paper is to use factor analysis to obtain an alternative description of the variability of observed variables with a potentially lower number of hidden compact latent variables (factors). Factor analysis assumes that the factor construction of the model may be simpler than the data on which it is based [21]. This construction then represents an aggregated abstraction of a large number of observed phenomena based on the presence of their common characteristics, which allows to significantly simplify and summarize large data matrices into smaller ones, without significant loss of information [22].…”
The rise of new technologies has created opportunities for the emergence of many trends today. This fact is a chance for the visibility of companies and in recent years internet marketing has become an integral part of marketing strategies of companies across all markets. Today’s marketing world give new opportunities to engage and gain the attention of relevant users. But customers including B2B buyers are overwhelmed by advertising on the Internet. Emphasis on the creation of quality content therefore becomes necessary and creates another of the right ways to address customers. This paper deals with the use of content marketing strategy in the B2B market in the conditions of the Slovak Republic. As there are a large number of tools usable in the content marketing strategy, the aim of the paper is to use factor analysis to obtain an alternative description of the variability of the observed variables (B2B content marketing tools) with a potentially lower number of latent variables.
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