Please use this identifier to cite or link to this item: https://gnanaganga.inflibnet.ac.in:8443/jspui/handle/123456789/15818
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dc.contributor.authorDash, Mihir-
dc.contributor.authorBose, Arunabhas-
dc.contributor.authorShome, Samik-
dc.contributor.authorMondal, Shamim-
dc.contributor.authorRajakumar, Dennis J-
dc.contributor.authorShetty, Ramanna-
dc.contributor.authorMajumdar, Madhumita G-
dc.contributor.authorSengupta, Debashis-
dc.date.accessioned2024-07-11T13:41:36Z-
dc.date.available2024-07-11T13:41:36Z-
dc.date.issued2015-04-
dc.identifier.citationVol. 3, No. 1; pp. 1-6en_US
dc.identifier.issn2321-1857-
dc.identifier.urihttp://dx.doi.org/10.21863/ijbai/2015.3.1.001-
dc.identifier.urihttps://gnanaganga.inflibnet.ac.in:8443/jspui/handle/123456789/15818-
dc.description.abstractPharmaceutical companies have been spending huge amount of money on marketing and promotions, sales distribution, and traveling done by the sales representatives. However, they find it difficult to directly link the returns with these efforts. This study makes an attempt to examine whether the marketing efforts have significant influence on the sales performance in the industry. It uses the DEA model (Data Envelopment Analysis) to assess the efficiency of marketing efforts by pharmaceutical companies, and uses random effects maximum likelihood panel regression to assess the significance of the impact of marketing efforts.en_US
dc.language.isoenen_US
dc.publisherInternational Journal of Business Analytics and Intelligenceen_US
dc.subjectPharmaceutical Industryen_US
dc.subjectMarketing Effortsen_US
dc.subjectSales Performanceen_US
dc.subjectDEA Modelen_US
dc.subjectRandom Effects Maximum Likelihood Panel Regressionen_US
dc.titleMeasuring the Efficiency of Marketing Efforts in the Indian Pharmaceutical Industry using Data Envelopment Analysisen_US
dc.typeArticleen_US
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