In order to form a typology among the Greek consumers of our sample, we claimed our analysis on a three levels hierarchical cluster analysis. The three levels hierarchical cluster analysis is based on: (a) specific factors of satisfaction, (b) demographic characteristics of sample and (c) statements for agricultural cooperatives. This particular type of typology for Greek consumers will reinforce the cooperative marketing strategy for better organization in food supply chain.
3.1. First Level Hierarchical Cluster Analysis (Specific Factors of Satisfaction)
The first cluster C1, to which belongs the largest percentage (48.9%) of sample consumers’ (
Table 1), has the following profile in terms of the three factors: (a) Regarding the factor “Hygiene-Quality”: the consumers of this cluster are characterized by satisfaction for “Hygiene-Quality” with the highest mean of 3.9853. We also notice that it stands out from the rest of the factors because it gives a high grade in the total. (b) For the factor “Taste-Safety”, the consumers of this cluster C1 are characterized with a mean of 3.90 in terms of satisfaction for “Taste-Safety”, (c) while for factor “Price-Availability”, the consumers of this cluster C1 are characterized by a mean of 3.6126 in terms of satisfaction for “Price-Availability” (
Table 2).
The Second cluster C2 is consisted of 86 consumers (46.2%) (
Table 1) and presents the following profile in terms of the three factors: (a) for first factor “Hygiene-Quality”, the consumers of this cluster are characterized by satisfaction for “Hygiene-Quality” with the highest mean of 3.4197. (b) Regarding the second factor “Taste-Safety”, consumers are characterized with a mean of 3.3031 satisfaction for Taste-Safety, (c) While for factor “Price-Availability”, consumers are characterized with a mean of 3.1105 in terms of satisfaction for Price-Availability (
Table 2).
Table 1.
Means on Clusters of Consumers’ (specific factors of satisfaction).
Table 1.
Means on Clusters of Consumers’ (specific factors of satisfaction).
Clusters | Hygiene-Quality | Taste-Safety | Price-Availability | N (%) |
---|
C1 | 3.9853 b | 3.9081 b | 3.6126 b | 91 (48.9%) |
C2 | 3.4197 d | 3.3031 d | 3.1105 d | 86 (46.2%) |
C3 | 4.9206 a | 4.9259 a | 4.8611 a | 9 (4.8%) |
Total | 3.7691 | 3.6776 | 3.4409 | 186 |
ANOVA P | <0.001 | <0.001 | <0.001 | |
R2 | 0.945 | 0.908 | 0.881 | |
For each column, means are followed by a different Latin letter (a,b,c) that is statistically significantly different, at a significance level of a = 0.05 (p-value ≤ 0.05) according to the results of the Tukey test.
The Third cluster C3 consists of 9 consumers (4.8%) (
Table 1) and presents the following profile in terms of the three factors (
Table 2). (1) Regarding the “Hygiene-Quality” factor, consumers of this cluster C3 are characterized by satisfaction for Hygiene-Quality with a mean of 4.9206. (2) In the factor “Taste-Safety”, consumers are characterized with the highest mean of 4.9259 satisfaction for “Taste-Safety”. (3) For factor Price-Availability, consumers are characterized with a mean of 4.8611 satisfaction for “Price-Availability”.
Table 2.
Hierarchical cluster analysis.
Table 2.
Hierarchical cluster analysis.
Clusters | Characteristics |
---|
C1 | Women (65%) 45–55 years old (25.3%) Married or in permanent relationship (46.6%) High School Diploma (25.6%) Private employee (20.9%) Income: 1000–1250 € (20.9%)
|
C2 | |
C3 | Men (55.6%) 36–44 years old (44.4%) Married or in permanent relationship (77.8%) High School Diploma (33.3%) Private Employee (44.4%) Income: 600–1000 € (22.2%)
|
3.2. Third Level Hierarchical Cluster Analysis (Statements for Agricultural Cooperatives)
Regarding the variables of the following
Table 3, “ E11_1: I trust cooperative fruits and vegetables”, “E11_2: I believe in cooperatives and the cooperative movement”, “E11_3: I believe that agricultural cooperatives are a reliable marketing channel for producers”, the third cluster C3 has the highest means of 4.67, 4.78 and 4.56 respectively, compared to rest of the clusters. Then, it follows the first cluster C1 (4.19, 3.97 and 4.08) and the second cluster C2 (3.57, 3.30 and 3.49).
Table 3.
Consumer clusters in terms of questions (E11_1, E11_2, E11_3).
Table 3.
Consumer clusters in terms of questions (E11_1, E11_2, E11_3).
Clusters | E11_1 | Ε11_2 | E11_3 |
---|
C1 | 4.19 b | 3.97 b | 4.08 b |
C2 | 3.57 b | 3.30 b | 3.49 c |
C3 | 4.67 b | 4.78 a | 4.56 b |
ANOVA P | <0.001 | <0.001 | <0.001 |
Total | 3.93 | 3.70 | 3.83 |
For each column, means are followed by a different Latin letter (a,b,c) that is statistically significantly different, at a significance level of a = 0.05 (p-value ≤ 0.05) according to the results of the Tukey test.
Regarding the variables of the following
Table 4, “E11_4: I consider it is important to strengthen the incomes of cooperative producers”, “E11_5: Producers through cooperatives ensure fair prices for their products”, “E11_6: Consumers through cooperatives ensure fair prices for the products which they buy”, the third cluster C3 has the highest means of 4.89, 4.56, and 4.56 respectively, compared to the rest of the clusters. Then, it follows the first cluster C1 (4.53, 3.79, and 3.63) and the second cluster C2 (3.94, 3.40, and 3.12).
Table 4.
Consumer clusters in terms of questions (E11_4, E11_5, E11 _6).
Table 4.
Consumer clusters in terms of questions (E11_4, E11_5, E11 _6).
Clusters | E11_4 | Ε11_5 | E11_6 |
---|
C1 | 4.53 b | 3.79 b | 3.63 b |
C2 | 3.94 c | 3.40 c | 3.12 c |
C3 | 4.89 b | 4.56 a | 4.56 a |
ANOVA P | <0.001 | <0.001 | <0.001 |
Total | 4.28 | 3.65 | 3.45 |
For each column, means are followed by a different Latin letter (a,b,c) that is statistically significantly different, at a significance level of a = 0.05 (p-value ≤ 0.05) according to the results of the Tukey test.
Finally, according to following
Table 5, the variables “E11_7: Agricultural cooperatives have the possibility to reduce the cost of selling for the cooperative products which they produce”, “E11_8: I trust their quality”, “E11_9: I think that are better quality compared to non-cooperative fruits and vegetables”, “E11_10: The market of cooperative fruits and vegetables creates more jobs in the local community”, the third cluster C3 has the highest means of 4.67, 4.78, 4.67, and 4.89 respectively, compared to the rest of the clusters. Then, it follows the first cluster C1 (3.88, 4.21, 3.62 and 4.24) and the second cluster C2 (3.61, 3.68, 3.17 and 3.96).
Table 5.
Consumer clusters in terms of questions (E11_7, E11_8, E11 _9, E11_10).
Table 5.
Consumer clusters in terms of questions (E11_7, E11_8, E11 _9, E11_10).
Clusters | E11_7 | Ε11_8 | E11_9 | E11_10 |
---|
C1 | 3.88 b | 4.21 b | 3.62 b | 4.24 b |
C2 | 3.61 b | 3.68 c | 3.17 c | 3.96 c |
C3 | 4.67 a | 4.78 a | 4.67 a | 4.89 a |
ANOVA P | <0.001 | <0.001 | <0.001 | <0.001 |
Total | 3.79 | 4.00 | 3.47 | 4.15 |
For each column, means are followed by a different Latin letter (a,b,c) that is statistically significantly different, at a significance level of a = 0.05 (p-value ≤ 0.05) according to the results of the Tukey test.