Modeling the diffusion of generation products in the presence of heterogeneous strategic customers for determining optimal marketing-mix strategies. (October 2021)
- Record Type:
- Journal Article
- Title:
- Modeling the diffusion of generation products in the presence of heterogeneous strategic customers for determining optimal marketing-mix strategies. (October 2021)
- Main Title:
- Modeling the diffusion of generation products in the presence of heterogeneous strategic customers for determining optimal marketing-mix strategies
- Authors:
- Najafi-Ghobadi, Somayeh
Bagherinejad, Jafar
Taleizadeh, Ata Allah - Abstract:
- Highlights: Modeling the diffusion of generation products when customers are strategic. Investigating optimal dynamic pricing and advertising decisions, simultaneously. Considering two types of advertising: direct and word-of-mouth. Using the Pontryagin's maximum principle to analyze the proposed model. Providing a heuristic solution algorithm to solve numerical examples. Abstract: It is well-known that customers' strategic behaviors can influence the diffusion of new products and, consequently, firms' profit. Thus, firms should consider the strategic behaviors of customers for making their marketing decisions. In this paper, we proposed a new diffusion model for generation products by considering heterogeneous strategic customers and two key marketing variables of pricing and advertising. It was shown that optimal pricing trajectory is a concave curve and there is a threshold for the optimal advertising trajectory. When customers are strategic, firms' optimal response is to decrease the advertising expenditure and price. We found that the advertising expenditure increases with increasing the discount rate, number of population size, and effectiveness of advertising. Also, firms should reduce the advertising expenditure when the impact of word-of-mouth advertising is high. Among other findings, it was shown that discount rate has a negative effect on the price. Further, higher advertising effectiveness could lead to higher price.
- Is Part Of:
- Computers & industrial engineering. Volume 160(2021)
- Journal:
- Computers & industrial engineering
- Issue:
- Volume 160(2021)
- Issue Display:
- Volume 160, Issue 2021 (2021)
- Year:
- 2021
- Volume:
- 160
- Issue:
- 2021
- Issue Sort Value:
- 2021-0160-2021-0000
- Page Start:
- Page End:
- Publication Date:
- 2021-10
- Subjects:
- Diffusion model -- Generation products -- Marketing-mix variables -- Heterogeneous strategic customers
Engineering -- Data processing -- Periodicals
Industrial engineering -- Periodicals
620.00285 - Journal URLs:
- http://www.sciencedirect.com/science/journal/03608352 ↗
http://www.elsevier.com/journals ↗ - DOI:
- 10.1016/j.cie.2021.107606 ↗
- Languages:
- English
- ISSNs:
- 0360-8352
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 3394.713000
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 18649.xml