Article ID: | iaor2017239 |
Volume: | 28 |
Issue: | 3 |
Start Page Number: | 415 |
End Page Number: | 428 |
Publication Date: | Jan 2017 |
Journal: | International Journal of Operational Research |
Authors: | Chanda Udayan, Aggarwal Remica |
Keywords: | combinatorial optimization, advertising, innovation, programming: mathematical, scheduling |
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.