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dc.contributor.authorChanda, Udayan-
dc.date.accessioned2023-05-01T06:48:04Z-
dc.date.available2023-05-01T06:48:04Z-
dc.date.issued2017-02-
dc.identifier.urihttps://www.inderscienceonline.com/doi/abs/10.1504/IJOR.2017.081913-
dc.identifier.urihttp://dspace.bits-pilani.ac.in:8080/xmlui/handle/123456789/10598-
dc.description.abstractGlobal market and tough competition compels a firm to continuously conceive new ideas and introduce new technologies in the market. As a result, often more than one generation products compete in the same market; creating an incredible pressure on managers for balanced advertising campaigns for the existing product generations. Advertising of multi-generation product involves selection of appropriate advertising medium, analysing the target market and appropriate utilisation of the available advertising budget. Effective advertising campaign is critical for success of a product in the market. Hence, finding the optimal advertising campaign duration is important as huge chunk of a firm's budget is allocated for this purpose. For, successive technology generations, advertising at right time become even more important. This study developed a mathematical model to determine the optimal duration of advertising campaigns for successive generations product based on diffusion of information in a social group. The optimal timing depends on diffusion coefficient, population size, advertising cost per time unit, unit price, etc.en_US
dc.language.isoenen_US
dc.publisherInder Scienceen_US
dc.subjectManagementen_US
dc.subjectMathematical Modellingen_US
dc.subjectMulti-product advertisingen_US
dc.subjectSuccessive Technology Generationsen_US
dc.subjectOptimisationen_US
dc.subjectOptimal durationen_US
dc.subjectAdvertising campaignsen_US
dc.subjectCampaign durationen_US
dc.subjectInnovation diffusion theoryen_US
dc.titleOptimal duration of advertising campaigns for successive technology generations using innovation diffusion theoryen_US
dc.typeArticleen_US
Appears in Collections:Department of Management

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