Table 3 Descriptive Statistics for Unfairness variable Descriptive statistics (Table 3) shows means and standard deviations. Together with other coefficients it will help to check hypothesis. H1a Consumers will perceive price changes for Unique products as in – general more unfair compare to Usual products. Average evaluation of case with Unique products (3.021) indeed is higher ten for Usual products (2.962). However the difference seems to be not that big (0.059) and pairwise comparison (see Appendix 4) shows sig.=.454. Therefore situations with Unique and Usual products are not really distinct for customers, when they evaluate level of Unfairness. Thus it could be concluded, that H1a is rejected. H2a Price changes during the Auction for a usual product will cause the – least Unfair perception among other considered situations. According customer’s to means there is a situation that has lower Unfairness level. Respondents assume price change during the Auction for Unique product as more fair (unfairness level is 2.322) compare to the same situations with Usual product (2.454). Therefore hypothesis H2a is not supported. H3a Price changes for unique product known from other customer will – cause the most unfair perception among other considered situations. On average it is true 3.977 is the highest index among all situations. However for – advantaged inequality this hypothesis will not be true (4.232 for Unique product is less, then 5.000 for Usual one). Generally speaking, H3a is supported. Figure 5 illustrates H2a and H3a. Figure 5 Graph that illustrates correlation of means for 3 Situations and 2 Product types for Unfairness ANOVA for Satisfaction Number of observations for current ANOVA the same as in previous test. Homogeneity tests and variance ratio were done (full description is in Appendix 5), data shows homogeneity of variances for each independent variable. Thus hypothesis of equal error variances is supported and analysis can be continued. Tests of Between-Subject Effects (see Appendix 6) show that Product has influence on Satisfaction (sig.=.034), as well as Situations (sig.=.001) and Price
Table 3 Descriptive Statistics for Unfairness variable Descriptive statistics (Table 3) shows means and standard deviations. Together with other coefficients it will help to check hypothesis. H1a – Consumers will perceive price changes for Unique products as in general more unfair compare to Usual products. Average evaluation of case with Unique products (3.021) indeed is higher ten for Usual products (2.962). However the difference seems to be not that big (0.059) and pairwise comparison (see Appendix 4) shows sig.=.454. Therefore situations with Unique and Usual products are not really distinct for customers, when they evaluate level of Unfairness. Thus it could be concluded, that H1a is rejected. H2a – Price changes during the Auction for a usual product will cause the least customer’s Unfair perception among other considered situations. According to means there is a situation that has lower Unfairness level. Respondents assume price change during the Auction for Unique product as more fair (unfairness level is 2.322) compare to the same situations with Usual product (2.454). Therefore hypothesis H2a is not supported. H3a – Price changes for unique product known from other customer will cause the most unfair perception among other considered situations. On average it is true – 3.977 is the highest index among all situations. However for advantaged inequality this hypothesis will not be true (4.232 for Unique product is less, then 5.000 for Usual one). Generally speaking, H3a is supported. Figure 5 illustrates H2a and H3a. Figure 5 Graph that illustrates correlation of means for 3 Situations and 2 Product types for Unfairness ANOVA for Satisfaction Number of observations for current ANOVA the same as in previous test. Homogeneity tests and variance ratio were done (full description is in Appendix 5), data shows homogeneity of variances for each independent variable. Thus hypothesis of equal error variances is supported and analysis can be continued. Tests of Between-Subject Effects (see Appendix 6) show that Product has influence on Satisfaction (sig.=.034), as well as Situations (sig.=.001) and Price