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DC Field | Value | Language |
---|---|---|
dc.contributor.author | Chanda, Udayan | - |
dc.date.accessioned | 2023-05-01T06:48:04Z | - |
dc.date.available | 2023-05-01T06:48:04Z | - |
dc.date.issued | 2017-02 | - |
dc.identifier.uri | https://www.inderscienceonline.com/doi/abs/10.1504/IJOR.2017.081913 | - |
dc.identifier.uri | http://dspace.bits-pilani.ac.in:8080/xmlui/handle/123456789/10598 | - |
dc.description.abstract | Global 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.iso | en | en_US |
dc.publisher | Inder Science | en_US |
dc.subject | Management | en_US |
dc.subject | Mathematical Modelling | en_US |
dc.subject | Multi-product advertising | en_US |
dc.subject | Successive Technology Generations | en_US |
dc.subject | Optimisation | en_US |
dc.subject | Optimal duration | en_US |
dc.subject | Advertising campaigns | en_US |
dc.subject | Campaign duration | en_US |
dc.subject | Innovation diffusion theory | en_US |
dc.title | Optimal duration of advertising campaigns for successive technology generations using innovation diffusion theory | en_US |
dc.type | Article | en_US |
Appears in Collections: | Department of Management |
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