Factors Influencing Wine Purchasing by Generation Y and Older Cohorts on the Serbian Wine Market Article Swipe
Ivan Balenović
,
Svetlana Ignjatijević
,
Goran M. Stojanović
,
Jelena Vapa–Tankosić
,
Nemanja Lekić
,
Olivera Milutinović
,
Aleksandar Gajić
,
Miloš Ivaniš
,
Jelena Bošković
,
Radivoj Prodanović
,
Nikola Puvača
,
Ljubica Duđak
·
YOU?
·
· 2021
· Open Access
·
· DOI: https://doi.org/10.3390/agriculture11111054
YOU?
·
· 2021
· Open Access
·
· DOI: https://doi.org/10.3390/agriculture11111054
This research investigates current preferences in wine purchase patterns and factors that affect the online purchase of wine by Generation Y and older cohorts in the Republic of Serbia. Our research utilizes descriptive statistics, chi-squared tests, the Mann–Whitney nonparametric test, and binary logistic regression. The results indicate that wine purchasing is conducted on an occasional basis—mostly monthly and weekly—with a tendency to buy wine throughout the whole year. The older cohort has a more pronounced rank, compared to Generation Y, regarding WTP for wines with a specific geographical origin and local wines. Although Generation Y and the older cohort have no habit of buying wine online, the information on geographical origin represents the most important online information related to online purchase intention. The strongest influence on online wine purchasing among members of the older cohort is a link that connects producers with consumers to allow the latter to obtain additional information and send remarks, suggestions, and/or praise, as well as a link to the winemakers’ association website, and the very significant influence of female gender. The strongest influence on online wine purchasing in Generation Y is the information on geographical origin. Female gender and income are also very significant. As wine consumption in the Republic of Serbia is gradually increasing, a growing interest in online wine purchases is expected. Our findings can provide useful information for building profiles of online wine consumers, depending on age cohort.
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Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.3390/agriculture11111054
- https://www.mdpi.com/2077-0472/11/11/1054/pdf?version=1637733249
- OA Status
- gold
- Cited By
- 12
- References
- 99
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W3208828819
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
-
https://openalex.org/W3208828819Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.3390/agriculture11111054Digital Object Identifier
- Title
-
Factors Influencing Wine Purchasing by Generation Y and Older Cohorts on the Serbian Wine MarketWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2021Year of publication
- Publication date
-
2021-10-27Full publication date if available
- Authors
-
Ivan Balenović, Svetlana Ignjatijević, Goran M. Stojanović, Jelena Vapa–Tankosić, Nemanja Lekić, Olivera Milutinović, Aleksandar Gajić, Miloš Ivaniš, Jelena Bošković, Radivoj Prodanović, Nikola Puvača, Ljubica DuđakList of authors in order
- Landing page
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https://doi.org/10.3390/agriculture11111054Publisher landing page
- PDF URL
-
https://www.mdpi.com/2077-0472/11/11/1054/pdf?version=1637733249Direct link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
goldOpen access status per OpenAlex
- OA URL
-
https://www.mdpi.com/2077-0472/11/11/1054/pdf?version=1637733249Direct OA link when available
- Concepts
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Wine, Purchasing, Cohort, Marketing, Consumption (sociology), Descriptive statistics, Computer-assisted web interviewing, Advertising, Business, Logistic regression, Geography, Food science, Sociology, Statistics, Mathematics, Chemistry, Social scienceTop concepts (fields/topics) attached by OpenAlex
- Cited by
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12Total citation count in OpenAlex
- Citations by year (recent)
-
2024: 2, 2023: 5, 2022: 4, 2021: 1Per-year citation counts (last 5 years)
- References (count)
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99Number of works referenced by this work
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10Other works algorithmically related by OpenAlex
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| abstract_inverted_index.specific | 86 |
| abstract_inverted_index.tendency | 60 |
| abstract_inverted_index.utilizes | 31 |
| abstract_inverted_index.website, | 166 |
| abstract_inverted_index.conducted | 51 |
| abstract_inverted_index.consumers | 142 |
| abstract_inverted_index.depending | 232 |
| abstract_inverted_index.expected. | 218 |
| abstract_inverted_index.gradually | 208 |
| abstract_inverted_index.important | 114 |
| abstract_inverted_index.influence | 124, 171, 177 |
| abstract_inverted_index.producers | 140 |
| abstract_inverted_index.purchases | 216 |
| abstract_inverted_index.regarding | 80 |
| abstract_inverted_index.strongest | 123, 176 |
| abstract_inverted_index.Generation | 19, 78, 93, 183 |
| abstract_inverted_index.additional | 149 |
| abstract_inverted_index.consumers, | 231 |
| abstract_inverted_index.intention. | 121 |
| abstract_inverted_index.occasional | 54 |
| abstract_inverted_index.pronounced | 74 |
| abstract_inverted_index.purchasing | 49, 128, 181 |
| abstract_inverted_index.represents | 111 |
| abstract_inverted_index.throughout | 64 |
| abstract_inverted_index.association | 165 |
| abstract_inverted_index.chi-squared | 34 |
| abstract_inverted_index.consumption | 201 |
| abstract_inverted_index.descriptive | 32 |
| abstract_inverted_index.increasing, | 209 |
| abstract_inverted_index.information | 107, 116, 150, 187, 224 |
| abstract_inverted_index.preferences | 4 |
| abstract_inverted_index.regression. | 43 |
| abstract_inverted_index.significant | 170 |
| abstract_inverted_index.statistics, | 33 |
| abstract_inverted_index.geographical | 87, 109, 189 |
| abstract_inverted_index.investigates | 2 |
| abstract_inverted_index.significant. | 198 |
| abstract_inverted_index.suggestions, | 154 |
| abstract_inverted_index.nonparametric | 38 |
| abstract_inverted_index.weekly—with | 58 |
| abstract_inverted_index.winemakers’ | 164 |
| abstract_inverted_index.Mann–Whitney | 37 |
| abstract_inverted_index.basis—mostly | 55 |
| cited_by_percentile_year.max | 98 |
| cited_by_percentile_year.min | 89 |
| corresponding_author_ids | https://openalex.org/A5061875476, https://openalex.org/A5082674520 |
| countries_distinct_count | 1 |
| institutions_distinct_count | 12 |
| corresponding_institution_ids | https://openalex.org/I170726198, https://openalex.org/I4401200274 |
| sustainable_development_goals[0].id | https://metadata.un.org/sdg/5 |
| sustainable_development_goals[0].score | 0.6399999856948853 |
| sustainable_development_goals[0].display_name | Gender equality |
| citation_normalized_percentile.value | 0.92361435 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | True |