
doi: 10.3390/data8020025
handle: 10757/668179
The production and consumption of green food products have become hot topics in marketing. Companies are implementing marketing strategies such as green perceived value, green trust, and green satisfaction to guarantee green word of mouth. An online questionnaire distributed through social media was used to collect the data. The sample consists of 297 people. The 297 responses were coded and analysed with the Software Smart-PLS. The data described include the sample sociodemographic profile, the descriptive analysis of all items, the reliability and validity of the measures of the reflective model and the evaluation of the results of the structural model. Four hypotheses included in the PLS-SEM proposed were validated for a p-value of 0.001. The results confirmed the influence of green perceived value on green trust and green satisfaction. Moreover, the results highlight that green satisfaction and green trust influence green word of mouth.
Marketing strategies, PLS-SEM model, green perceived value, green word of mouth, green products, Software Smart-PLS, Online questionnaire, green satisfaction, Bibliography. Library science. Information resources, Social media, Green satisfaction, Green word of mouth, Green perceived value, green trust, Green food products, Green trust, Z
Marketing strategies, PLS-SEM model, green perceived value, green word of mouth, green products, Software Smart-PLS, Online questionnaire, green satisfaction, Bibliography. Library science. Information resources, Social media, Green satisfaction, Green word of mouth, Green perceived value, green trust, Green food products, Green trust, Z
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 9 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 10% | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 10% |
