Cooperative advertising in a capacitated manufacturer–retailer supply chain: a game‐theoretic approach

Published date01 September 2018
Date01 September 2018
AuthorPooya Hoseinpour,Amir Ahmadi‐Javid
DOIhttp://doi.org/10.1111/itor.12213
Intl. Trans. in Op. Res. 25 (2018) 1677–1694
DOI: 10.1111/itor.12213
INTERNATIONAL
TRANSACTIONS
IN OPERATIONAL
RESEARCH
Cooperative advertising in a capacitated manufacturer–retailer
supply chain: a game-theoretic approach
Amir Ahmadi-Javid and Pooya Hoseinpour
Department of Industrial Engineering, Amirkabir University of Technology, Tehran, Iran
E-mail: ahmadi_javid@aut.ac.ir [Ahmadi-Javid]
Received 23 February2015; received in revised form 4 September 2015; accepted 9 September 2015
Abstract
To achieve a more realistic understanding of how the supply chain’s components interact, it is helpful to con-
sider the operational limitations of the underlying supplychain while analyzing cooperative advertising. This
paper studies cooperative advertisingin a manufacturer–retailer supply chain under the practical operational
assumption that the manufacturer’s production capacity is limited. The retailer advertises locally, and the
manufacturer advertises in national media and supports part of the retailer’s promotional costs. Equilibria
are determined under two different scenarios. In the first scenario, both retailer and manufacturer move
simultaneously, while in the second scenario, they move sequentially, with the manufacturer being the leader.
The sales function is a bivariate version of the diminishing returns response function. When the production
capacity is unlimited, several important properties can be proven, which cannot be shown analytically for
the existing sales functions. Considering the production-capacity constraint leads to new managerial insights
into cooperative advertising.For example, only if the production capacityis large enough, both manufacturer
and retailer are better off under the second scenario than the first scenario. In other words, the sequential
move is not necessarily Pareto-improving when the production capacity is limited. It is also observed that,
under the first scenario, there are multiple equilibria whenever the production capacity is not too high. Under
the second scenario, the manufacturer supports the retailer only when the retailer’s margin is relatively small
compared to the manufacturer’s margin and production capacity.
Keywords:application of game theory; cooperative advertising; supply chain management; production capacity
1. Introduction
Cooperative advertising is a vertical coordination mechanism in a supply chain. To encourage
sales of a supply-chain product, manufacturers and retailers advertise nationally and locally. In
cooperative advertising, the manufacturers prefer to contribute to the retailers’ advertising costs
for practical purposes, such as strengthening brand image and motivating immediate sales (see
Hutchins, 1953; Bergen and John, 1997).
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2015 The Authors.
International Transactionsin Operational Research C
2015 International Federation of OperationalResearch Societies
Published by John Wiley & Sons Ltd, 9600 Garsington Road, Oxford OX4 2DQ, UK and 350 Main St, Malden, MA02148,
USA.
1678 A. Ahmadi-Javid and P. Hoseinpour / Intl. Trans.in Op. Res. 25 (2018) 1677–1694
Several papers have studied cooperative advertising models featuring static relationships. These
models can be classified as either price-insensitive or price-sensitive. In price-insensitive models,
prices are known and the sales volume depends only on advertising efforts; see, for example, Berger
and Magliozzi (1992), Karray and Zaccour (2007), Huang and Li (2001), and Ahmadi-Javid and
Hoseinpour (2011, 2012). However, in price-sensitive models, the sales volume depends on both
advertising efforts and retail price; see, for example, Karray and Zaccour (2006), Xie and Neyret
(2009), Xie and Wei (2009), Szmerekovsky and Zhang (2009), Zaccour (2008), and Yan (2009).
Unlike static cooperative advertising models, the environment in dynamic game-theoretic models
changes dynamically, and players should adapt their decisions by learning from the game history.
Moreover, the sales volume is typically modeled as a function of the advertising goodwill stock
(brand image), which evolves according to an ordinary differential equation. For more on this
topic, one may refer to, for example, Karray and Zaccour (2005), Jørgensen et al. (2006), He et al.
(2009), and Zhang et al. (2013).
In this paper,our focus is on a price-insensitive static cooperative advertising model. For a review
of the various game-theoretic models developed for cooperative advertising, the reader may refer to
recent surveys by Aust and Buscher (2014) and Jørgensen and Zaccour (2014).
In all the papers dealing with (static or dynamic) cooperative advertising, it is commonlyassumed
that the manufacturer has an unlimited production capacity, which may be quite unrealistic. In
practice, a manufacturernormally cannot produce beyond a known finite capacity, and development
of this capacity is either impossible or incurs a considerable establishment cost. This led us to study
the case of price-insensitive vertical cooperative advertising in a capacitated supply chain with one
retailer and one manufacturer, wherethe manufacturer advertises globally and shares in the retailer’s
local advertising. The manufacturer has a limited production capacity, which implies that local and
global advertising efforts should not result in sales volume that surpasses this production capacity.
The problem under different scenarios is studied using game theory.
The paper is organized as follows. Section 2 presents the notation and mathematical model.
Section 3 presents the analyses of the model under two scenarios: simultaneous and sequential
moves. Section 4 discusses the managerial implications of this research. Section 5 considers the
coordination problemfor the case where the Nash game has multiple equilibria. Section 6 concludes
the paper, and Section 7 provides the proofs.
2. Model description
Consider a supply chain with one retailer and one manufacturer. The gross profits of the retailer
and manufacturer, denoted by πr(a,q,t)and πm(a,q,t), respectively, are determined as follows:
πr(a,q,t)=ρrS(a,q)(1t)a
πm(a,q,t)=ρmS(a,q)ta q,
where S(a,q)is the sales function. The decision variables and parameters are defined as follows:ais
the retailer’slocal advertising expenditures; qis the manufacturer’sinvestment in the national brand,
including national advertising costs; tis the fraction of the total local advertising expenditure that
the manufacturer agrees to share with the retailer (0t1);ρmis the manufacturer’s marginal
profit for each product unit; and ρris the retailer’s marginal profit for each product unit.
C
2015 The Authors.
International Transactionsin Operational Research C
2015 International Federation of OperationalResearch Societies

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