Effectiveness of marketing mix in nirapara curry powder
By: Anumol George.
Contributor(s): Anil Kuruvila (Guide).
Material type:
BookPublisher: Vellanikkara College of Co-operation, Banking and Management 2017Description: 80p.Subject(s): Agribusiness ManagementDDC classification: 380.141 Online resources: Click here to access online Dissertation note: MBA Abstract: The present study entitled “Effectiveness of marketing mix in Nirapara curry powder” was conducted in five divisions of Thrissur Corporation. The objectives of the study were to explore the effectiveness of marketing mix of Nirapara curry powder and to delineate strength and weakness of the marketing mix used and suggest improvements.
The total sample size comprised of 100 consumers and 10 retailers. From the Thrissur Corporation, five divisions were randomly selected and from each division two retail shops selling this brand were purposively selected. Thus, from each retail shop 10 consumers were randomly selected, making a total sample size of 100. Thereafter the data were coded, analysed and interpreted using index method and descriptive statistics.
6.1.1 Findings based on customer’s interview schedule
| Item type | Current location | Collection | Call number | Status | Date due | Barcode |
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Theses
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KAU Central Library, Thrissur Theses | Reference Book | 380.141 ANU/EF (Browse shelf) | Not For Loan | 174138 |
MBA
The present study entitled “Effectiveness of marketing mix in Nirapara curry powder” was conducted in five divisions of Thrissur Corporation. The objectives of the study were to explore the effectiveness of marketing mix of Nirapara curry powder and to delineate strength and weakness of the marketing mix used and suggest improvements.
The total sample size comprised of 100 consumers and 10 retailers. From the Thrissur Corporation, five divisions were randomly selected and from each division two retail shops selling this brand were purposively selected. Thus, from each retail shop 10 consumers were randomly selected, making a total sample size of 100. Thereafter the data were coded, analysed and interpreted using index method and descriptive statistics.
6.1.1 Findings based on customer’s interview schedule
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