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Explicit and Implicit Factors That Determine Private Labels’ Possible Purchase: Eyetracking and EEG Research


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Comparing the price knowledge in terms of frontal alpha asymmetry measurement for both product categories

ABLSPT
Food products
Z–1.647a–0.625a–1.155b–0.582b–1.306a–1.874a
Asymp. sig.*0.1000.5320.1250.3940.1910.061
Hygiene products
Z–1.533b–0.144b–0.966a–1.420b–0.057a–0.852b
Asymp. sig.*0.1250.9000.3340.1560.9550.394

Spearman correlations between private-label purchase probability and the categories explicit and implicit variables

Explicit factorsImplicit factors
Mean QF/ HAgeIncomeEsthetic assessmentPL familiarityService qualityMean EEG – purchase probability assessmentMean EEG – estheticsMean ET – esthetic sensitivity
AuchanF0.5120.669–0.462
H–0.441
BiedronkaF0.7410.544
H0.5590.440
LidlF0.616
H0.600–0.572
Piotr i PawełF
H–0.472
TescoF
H0.680

Comparisons between genders in terms of total fixation time for both product categories (version with the price)

ABLSPT
Food products
Mann–Whitney U26.00027.00031.00030.00032.00023.000
Wilcoxon W62.00063.00067.00066.00068.00059.000
Z–0.630–0.525–0.105–0.2100.000–0.954
Asymp. sig.a0.5290.6000.9160.8341.0000.345
Exact sig.b0.574b0.645b0.959b0.878b1.000b0.382b
Hygiene products
Mann–Whitney U25.00030.00026.00021.00032.00026.500
Wilcoxon W61.00066.00062.00057.00068.00062.500
Z–0.735–0.210–0.630–1.1550.000–0.578
Asymp. sig.a0.4620.8340.5290.2481.0000.563
Exact sig.b0.505c0.878c0.574c0.279c1.000c0.574c