4.7 Article

Optimal advertising outsourcing strategy with different effort levels and uncertain demand

Journal

INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
Volume 58, Issue 7, Pages 2016-2035

Publisher

TAYLOR & FRANCIS LTD
DOI: 10.1080/00207543.2019.1641235

Keywords

production; advertising outsourcing; principal-agent problem; revelation principle; uncertain demand

Funding

  1. Research Grants Council of Hong Kong [17301214, 15210815]
  2. National Natural Science Foundation of China [11671158, 71701032, 71603238]
  3. Zhejiang Provincial Natural Science Foundation of China [LQ19G010002]
  4. IMR and RAE Research Fund, Faculty of Science, The University of Hong Kong
  5. Department of ISE, the Hong Kong Polytechnic University [H-45-35-ZG3K]

Ask authors/readers for more resources

This paper studies the issue of advertising outsourcing and production planning for a manufacturer facing asymmetric advertising cost and uncertain market demand. To improve product sales, a manufacturer would hire an advertising agency to provide professional service on product advertising before the production takes place. A contract taking into account both advertising effort level and payment is introduced to incentivize the advertising agency to report the exact cost to the manufacturer. Furthermore, a model with the goal of maximising the manufacturer's net profit is proposed, in which both product demand and payment to the advertising agency are affected by the advertising effort level. Analytical solutions of the optimal strategies including the optimal advertising effort level and the optimal payment to the advertising agency are derived. Optimal retail price and the optimal production quantity are also obtained for the manufacturer in making managerial decisions.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.7
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available