Abstract
This study investigated the factors affecting the purchase decisions of seafood consumers in selected urban areas of Mumbai, India. The primary data were analysed using binary choice modelling techniques. It was found that taste, religion, size of household and age of family member were significant factors at a 95% confidence level. The Indian seafood industry may find this baseline study useful to encourage further consumer-based research to promote the growth of the domestic seafood market.
| Original language | English |
|---|---|
| Pages (from-to) | 75-82 |
| Number of pages | 8 |
| Journal | International Journal of Consumer Studies |
| Volume | 28 |
| Issue number | 1 |
| DOIs | |
| Publication status | Published - Jan 1 2004 |
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Keywords
- Binary choice models
- Consumer preferences
- Household
- India
- Mumbai
- Seafood purchasing decision
ASJC Scopus subject areas
- Applied Psychology
- Economics and Econometrics
- Public Health, Environmental and Occupational Health
- Marketing
Cite this
Modelling purchasing decisions of seafood products : A case study of Mumbai, India. / Redkar, Soumil Bharat; Bose, Shekar.
In: International Journal of Consumer Studies, Vol. 28, No. 1, 01.01.2004, p. 75-82.Research output: Contribution to journal › Article
}
TY - JOUR
T1 - Modelling purchasing decisions of seafood products
T2 - A case study of Mumbai, India
AU - Redkar, Soumil Bharat
AU - Bose, Shekar
PY - 2004/1/1
Y1 - 2004/1/1
N2 - This study investigated the factors affecting the purchase decisions of seafood consumers in selected urban areas of Mumbai, India. The primary data were analysed using binary choice modelling techniques. It was found that taste, religion, size of household and age of family member were significant factors at a 95% confidence level. The Indian seafood industry may find this baseline study useful to encourage further consumer-based research to promote the growth of the domestic seafood market.
AB - This study investigated the factors affecting the purchase decisions of seafood consumers in selected urban areas of Mumbai, India. The primary data were analysed using binary choice modelling techniques. It was found that taste, religion, size of household and age of family member were significant factors at a 95% confidence level. The Indian seafood industry may find this baseline study useful to encourage further consumer-based research to promote the growth of the domestic seafood market.
KW - Binary choice models
KW - Consumer preferences
KW - Household
KW - India
KW - Mumbai
KW - Seafood purchasing decision
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U2 - 10.1111/j.1470-6431.2004.00337.x
DO - 10.1111/j.1470-6431.2004.00337.x
M3 - Article
VL - 28
SP - 75
EP - 82
JO - International Journal of Consumer Studies
JF - International Journal of Consumer Studies
SN - 1470-6423
IS - 1
ER -