Optimal Advertising and Product Durability Decisions in New Product Diffusion

23 Pages Posted: 1 Sep 2022 Last revised: 4 May 2023

See all articles by Adrian Kennedy

Adrian Kennedy

The Chinese University of Hong Kong (CUHK) - Department of Statistics

Ashutosh Prasad

University of California, Riverside (UCR)

Suresh Sethi

University of Texas at Dallas - Naveen Jindal School of Management

Chi Chung Siu

Department of Mathematics, Statistics and Insurance, School of Decision Sciences, The Hang Seng University of Hong Kong

S. C. P. Yam

The Chinese University of Hong Kong. Department of Statistics

Date Written: September 02, 2022

Abstract

This paper studies the optimal advertising policy over the product life cycle of a semi-durable good whose failure rate is a design decision. The product adoption process draws from three sources of consumers: innovators who find the product directly, consumers influenced by advertising, and loyal customers making replacements. The revenue stream is composed of sales of new products, revenue from maintenance fees, and sales of replacement products. We propose a product diffusion model with both durable and non-durable properties and solve using optimal control. The guidelines for advertising during new product diffusion are simple to implement due to near-explicit solutions. We make recommendations for the design of product durability and note cases where the failure rate should be increased.

Keywords: Advertising; Dynamic Optimization; Product Failure; Planned Obsolescence; Durable Goods

JEL Classification: M37, C61, M30

Suggested Citation

Kennedy, Adrian and Prasad, Ashutosh and Sethi, Suresh and Siu, Chi Chung and Yam, Phillip, Optimal Advertising and Product Durability Decisions in New Product Diffusion (September 02, 2022). Available at SSRN: https://ssrn.com/abstract=4202732

Adrian Kennedy

The Chinese University of Hong Kong (CUHK) - Department of Statistics ( email )

Room 139 Lady Shaw Building
Shatin, 250
Hong Kong

Ashutosh Prasad

University of California, Riverside (UCR)

900 University Avenue
Riverside, CA CA 92521
United States

Suresh Sethi

University of Texas at Dallas - Naveen Jindal School of Management ( email )

800 W. Campbell Road, SM30
Richardson, TX 75080-3021
United States

Chi Chung Siu (Contact Author)

Department of Mathematics, Statistics and Insurance, School of Decision Sciences, The Hang Seng University of Hong Kong ( email )

Hang Shin Link
Siu Lek Yuen
Shatin, Hong Kong
China

Phillip Yam

The Chinese University of Hong Kong. Department of Statistics ( email )

Hong Kong

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