Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/574305
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dc.coverage.spatial
dc.date.accessioned2024-06-28T12:24:14Z-
dc.date.available2024-06-28T12:24:14Z-
dc.identifier.urihttp://hdl.handle.net/10603/574305-
dc.description.abstractDigital marketing consists of all e-marketing strategies which are used through an electronic platform connected in internet to sell, advertise, and promote products. These e-marketing platforms are utilized by manufacturers in order to success their products effortlessly. The elements that influence consumer purchasing decisions include factors like product value, product brand, delivery method, and assurances provided after the sale. Thus, it s confirmed to conclude that decision-making is dependent on a variety of factors, including analysis, personal experience, and sound judgment, all of which may be derived from the user comments and reviews. Digital marketing research must be mapped and compared to the present business sector in order to determine the critical function using soft computing. It is discussed precisely and pointed out the application of digital marketing methods for increasing business growth for the products, needed on daily basis. Social media marketing (SMM), predictive marketing, web-scraping, review analysis and sentiment analysis help to develop this BI model. newline
dc.format.extentxii, 154p
dc.languageEnglish
dc.relationYes
dc.rightsuniversity
dc.titleBusiness intelligence model in digital marketing using soft computing approaches
dc.title.alternative
dc.creator.researcherBiswas, Biswajit
dc.subject.keywordBusiness
dc.subject.keywordEconomics and Business
dc.subject.keywordMarketing
dc.subject.keywordSocial Sciences
dc.description.note
dc.contributor.guideSanyal, Manas Kumar
dc.publisher.placeKalyani
dc.publisher.universityUniversity of Kalyani
dc.publisher.institutionBusiness Administration
dc.date.registered2017
dc.date.completed2022
dc.date.awarded2022
dc.format.dimensions
dc.format.accompanyingmaterialDVD
dc.source.universityUniversity
dc.type.degreePh.D.
Appears in Departments:Department of Business Administration

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01_title.pdfAttached File78.72 kBAdobe PDFView/Open
02_prelims page.pdf770.21 kBAdobe PDFView/Open
03_content.pdf223.79 kBAdobe PDFView/Open
04_abstract.pdf375.46 kBAdobe PDFView/Open
05_ chapter 1.pdf612.46 kBAdobe PDFView/Open
06_chapter 2.pdf365.96 kBAdobe PDFView/Open
09_chapter 5.pdf1.62 MBAdobe PDFView/Open
10_annexures.pdf339.08 kBAdobe PDFView/Open
80_recommendation.pdf243.65 kBAdobe PDFView/Open


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