Table 2

The commercialization patterns for PBA. Factor matrix, cluster analysis and cluster profiling

Factor matrix*
Factor 1Factor 2Factor 3Factor 4Factor 5
Dietary lifestyleEco-credibilityHealthSensory and novelty appealFood preparation
Other nutritional claim FOP−0.115−0.0050.5340.0570.063
Other nutritional claim RETWEB−0.2080.0470.9470.1920.144
Certification visible FOP0.2280.379−0.087−0.018−0.306
Certification visible RETWEB−0.0140.5090.0440.0980.125
Environmental claims FOP0.1850.669−0.070−0.166−0.373
Environmental claims RETWEB−0.0330.7510.0370.029−0.048
Sensory claim RETWEB−0.3160.1370.0050.4920.235
Emotional and novelty claim RETWEB0.007−0.0130.1670.6010.044
Free from statements FOP0.4810.020−0.177−0.2460.173
Serving suggestion FOP0.3540.042−0.141−0.2120.268
Cooking time and mode RETWEB−0.015−0.0760.1990.1580.617
Dietary pattern FOP0.6630.043−0.091−0.153−0.182
Dietary pattern RETWEB0.8210.089−0.1420.208−0.106
Cluster analysis
Cluster 1Cluster 2Cluster 3FSign
Sustainability strategyDietary strategyHealth and taste-driven strategy
Dietary lifestyle−0.413920.67258−0.36287137.527<0.001
Eco-credibility0.40649−0.476760.0814269.653<0.001
Health−0.60468−0.475901.652243701.369<0.001
Sensory and novelty appeal−0.303290.091690.3343435.151<0.001
Food preparation−0.291500.134690.2516730.435<0.001
Cluster profile
Cluster 1 Sustainability-focused productsCluster 2 Dietary productsCluster 3 Healthy and tasty productsTest result (⁠χ2 = Chi-square test; F = one-way ANOVA test)p-Value
N%N%N%
Country        
Germany4521.19445.985.8χ2 (6) = 228.307<0.001
Spain3918.37436.100.0
Italy3717.4157.37252.6
Netherlands-Belgium9243.22210.75741.6
Animal analogue        
Beef5123.94120.04935.8χ2 (8) = 58.664<0.001
Chicken5224.46632.23928.5
Fish73.3209.842.9
Pork7133.36833.21510.9
Vegetable focused3215.0104.93021.9
Product format        
Burger and meatballs6831.96129.87655.5χ2 (6) = 50.383<0.001
Chuck and fillet4320.24823.41813.1
Cutlets3114.62612.73122.6
Sausage and sliced meat7133.37034.1128.8
Online category        
Fresh pasta and ready meals6731.58842.91813.1χ2 (10) = 99.328<0.001
Meat, fish and vegetarian products9243.29948.36346.0
Vegetarian, vegan and plant-based3315.573.41913.9
Frozen food104.731.52216.1
Gastronomy52.310.51510.9
Others62.873.400.0
Brand type        
Commercial brand13362.418288.88662.8χ2 (2) = 44.299<0.001
Private label8037.62311.25137.2
Product recipe        
Contain soy11754.99747.39871.5χ2 (2) = 19.797<0.001
Contain gluten10448.88842.96950.4χ2 (2) = 2.273Not significant
Contain peas6430.07737.64029.2χ2 (2) = 3.649Not significant
Contain other plant protein7937.15627.35540.1χ2 (2) = 7.254<0.05
Price**20.38 ± 7.4719.89 ± 6.1818.41 ± 6.91F = 3.558<0.05

Note(s): *The variables included in the factor analysis are 13. FOP: front-of-pack; RETWEB: retailer website. Extraction method: Unweighted least squares. Rotation method: Varimax with Kaiser normalization. Rotation converged after 13 iterations. Test KMO: ∼0.7 Sign. <0.001. Total variance explained: 48%. Variable coding: all the variables were coded as presence of the claim (1) and absence of the claim (0). **Price is indicated in mean and standard deviation

Source(s): Authors’ own work

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