Economics of first-contact email advertising
Decision Support Systems
Optimal Dynamic Advertising Policy for New Products
Management Science
Optimal Dynamic Advertising Policy for New Products
Management Science
Timing Successive Product Introductions with Demand Diffusion and Stochastic Technology Improvement
Manufacturing & Service Operations Management
Demand forecasting of high-speed Internet access service considering unknown time-varying covariates
Computers and Industrial Engineering
Modeling viral economies for digital media
Proceedings of the 3rd ACM SIGOPS/EuroSys European Conference on Computer Systems 2008
Optimal pricing for mobile manufacturers in competitive market using genetic algorithm
Expert Systems with Applications: An International Journal
Speed Matters: The Role of Free Software Offer in Software Diffusion
Journal of Management Information Systems
Social Learning and Dynamic Pricing of Durable Goods
Marketing Science
New Product Diffusion Decisions Under Supply Constraints
Management Science
Supply Chain Dynamics and Channel Efficiency in Durable Product Pricing and Distribution
Manufacturing & Service Operations Management
A Generalized Norton--Bass Model for Multigeneration Diffusion
Management Science
| Hi-index | 0.01 |
Robinson and Lakhani (1975) initiated a long research stream in marketing when they used the Bass model (1969) to develop optimal pricing path for a new product. A careful analysis of the extant literature reveals that the research predominantly suggests that the optimal price path should be largely based on the sales growth pattern. However, in the real world we rarely find new products that have such pricing pattern. We observe either a monotonically declining pricing pattern or an increase-decrease pricing pattern that does not seem close to the sales path. In this paper, we use a variation of the generalized Bass model (called GBM) developed by Bass et al. (1994) that yields optimal pricing policies that are consistent with empirical data.