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Hybrid marketing channel strategies of a manufacturer in a supply chain: game theoretical and numerical approaches

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Abstract

This paper analyzes how the market power in a supply chain affects a manufacturer’s hybrid marketing channel strategies, considering market transaction costs and the ratio of market size of the online market and the offline market. Also, this paper investigates a price-matching strategy when a manufacturer adds an online channel. This paper shows a number of interesting results: generally, when a manufacturer acts as a Stackelberg follower, the manufacturer chooses a hybrid marketing channel strategy as online costs become very much smaller and the size of the online market is much larger. However, when a manufacturer acts as a Stackelberg leader, the manufacturer has more chances to use a hybrid marketing channel strategy even when the online costs are relatively higher. In addition, a manufacturer may use a price-matching strategy by lowering its prices with the aim to eventually drive the retailer out of the market if the manufacturer perceives that a retailer has more advantages in the offline market and the size of offline market is larger.

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Notes

  1. The proofs are in “Appendix 1”.

  2. The proofs are in “Appendix 2”.

  3. The proofs are in “Appendix 3”.

  4. The basic model can be classified into three types according to the market power models (a Stackelberg leader, a vertical Nash and a Stackelberg follower). We compared the profits of the basic model where a manufacturer acts as a Stackelberg leader with those of other hybrid models, which did not affect the main result.

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Appendices

Appendix 1: Proof for the manufacturer Stackelberg leader model

In the first period, a manufacturer anticipates a retailer’s reaction function. A retailer’s reaction function can be obtained from the retailer’s profit function which is given by

$$\varPi_{R}^{MS} = m\left( {p_{R}^{MS} - w^{MS} } \right)\left( {\frac{{V - p_{R}^{MS} }}{t}} \right) + \left( {1 - m} \right)\left( {p_{R}^{MS} - w} \right)\left( {\frac{{p_{D}^{MS} + a - p_{R}^{MS} }}{t}} \right).$$

The retailer’s reaction function can be derived from the first-order condition as follows:

$$\frac{{\partial \varPi_{R}^{MS} }}{{\partial p_{R}^{MS} }} = \frac{{a + Vm - am + w^{MS} + p_{D}^{MS} - 2p_{R}^{MS} - mp_{D}^{MS} }}{t} = 0.$$

From the above condition, the retailer’s reaction function is derived as:

$$p_{R}^{MS} = \frac{{a + Vm - am + w^{MS} + p_{D}^{MS} - mp_{D}^{MS} }}{2}.$$

Using the above reaction function, a manufacturer chooses a wholesale price and a direct online price from the first-order conditions of the manufacturer’s profit maximization problem. The manufacturer’s profit function is given by:

$$\varPi_{M}^{MS} = m\left( {w^{MS} - c} \right)\left( {\frac{{V - p_{R}^{MS} }}{t}} \right) + \left( {1 - m} \right)\left( {w^{MS} - c} \right)\left( {\frac{{p_{D}^{MS} + a - p_{R}^{MS} }}{t}} \right) + \left( {1 - m} \right)\left( {p_{D}^{MS} - c} \right)\left( {1 - \frac{{p_{D}^{MS} + a - p_{R}^{MS} }}{t}} \right).$$

The first-order conditions are:

$$\begin{aligned} \frac{{\partial \varPi_{M}^{MS} }}{{\partial w^{MS} }} & = - \frac{{am - Vm - a - cm + 2w^{MS} - 2p_{D}^{MS} + 2mp_{D}^{MS} }}{2t} = 0 \\ \frac{{\partial \varPi_{M}^{MS} }}{{\partial p_{D}^{MS} }} & = - \frac{{\left( {1 - m} \right)\left( {a - 2t - Vm + am - cm - 2w^{MS} + 2p_{D}^{MS} + 2mp_{D}^{MS} } \right)}}{2t} = 0. \\ \end{aligned}$$

From the above equations wholesale and online prices are obtained as follows:

$$w^{{MS^{*} }} = \frac{t}{2m} + \frac{V + c - t}{2},\quad p_{D}^{{MS}^{*}} = \frac{t}{2m} + \frac{V + c - a}{2}.$$

Then, in the second period, the retailer finds an optimal retail price by using the manufacturer’s wholesale and direct online prices as follows:

$$p_{R}^{{MS}^{*}} = \frac{t}{2m} + \frac{V + c - t}{2} + \frac{a}{4} + \frac{V - c - a}{4}m.$$

Appendix 2: Proof for the retailer Stackelberg leader model

A retailer, as a market leader, takes the manufacturer’s reaction function into account for its own retail price decisions. So, a retailer uses a manufacturer’s reaction function, which is derived from the manufacturer’s profit maximization problem in the second period. The manufacturer decides its wholesale and online prices anticipating the retailer’s margin, \(k = p_{r}^{N} - w\). Then, the manufacturer’s profit function is given by:

$$\varPi_{M}^{RS} = m\left( {w^{RS} - c} \right)\left( {\frac{{V - p_{R}^{RS} }}{t}} \right) + \left( {1 - m} \right)\left( {w^{RS} - c} \right)\left( {\frac{{p_{D}^{RS} + a - p_{R}^{RS} }}{t}} \right) + \left( {1 - m} \right)\left( {p_{D}^{RS} - c} \right)\left( {1 - \frac{{p_{D}^{RS} + a - p_{R}^{RS} }}{t}} \right).$$

Where subscript, RS, denotes the case where a retailer acts as a Stackelberg leader.Here,\(p_{R}^{RS} = k + w\), then this profit function is rewritten as:

$$\begin{aligned} \varPi_{M}^{RS} & = m\left( {w^{RS} - c} \right)\left( {\frac{{V - \left( {k + w^{RS} } \right)}}{t}} \right) + \left( {1 - m} \right)\left( {w^{RS} - c} \right)\left( {\frac{{p_{D}^{RS} + a - \left( {k + w^{RS} } \right)}}{t}} \right) \\ & \quad + \left( {1 - m} \right)\left( {p_{D}^{RS} - c} \right)\left( {1 - \frac{{p_{D}^{RS} + a - \left( {k + w^{RS} } \right)}}{t}} \right). \\ \end{aligned}$$

Then, a manufacturer’s reaction function can be derived from the following first-order conditions:

$$\begin{aligned} \frac{{\partial \varPi_{M}^{RS} }}{{\partial w^{RS} }} & = \frac{{\left( {a - k + Vm - am + cm - 2w + 2p_{D}^{RS} - 2mp_{D}^{RS} } \right)}}{t} = 0 \\ \frac{{\partial \varPi_{M}^{RS} }}{{\partial p_{D}^{RS} }} & = - \frac{{\left( {a - k - t - 2w + 2p_{D}^{RS} } \right)}}{t}\left( {1 - m} \right) = 0. \\ \end{aligned}$$

Thus, reaction functions are:

$$\begin{aligned} w^{RS} & = \frac{{\left( {t + Vm + cm - mt - mp_{R}^{RS} } \right)}}{m} \\ p_{D}^{RS} & = \frac{{\left( {t + Vm - am + cm} \right)}}{2m}. \\ \end{aligned}$$

Anticipating these reactions, the retailer maximizes its profits in the first period. The retailer’s profit function is given by:

$$\varPi_{R}^{RS} = m(p_{R}^{RS} - w^{RS} )\left( {\frac{{V - p_{R}^{RS} }}{t}} \right) + (1 - m)(p_{R}^{RS} - w^{RS} )\left( {\frac{{p_{D}^{RS} + a - p_{R}^{RS} }}{t}} \right).$$

The reaction function is derived from the first-order condition as follows:

$$\frac{{\partial \varPi_{R}^{RS} }}{{\partial p_{R}^{RS} }} = \frac{{\left( {2t + 2Vm + am + 2cm - 2mt - 4mp_{R}^{RS} + Vm^{2} - am^{2} - cm^{2} } \right)}}{mt} = 0.$$

Then, optimal prices are obtained as follows:

$$\begin{aligned} w^{RS*} & = \frac{{\left( {2t + 2Vm + 2cm - am - 2mt - Vm^{2} + am^{2} + cm^{2} } \right)}}{4m} \\ p_{D}^{RS*} & = \frac{{\left( {t + Vm - am + cm} \right)}}{2m} \\ p_{R}^{RS*} & = \frac{{\left( {2t + 2Vm + 2cm + am - 2mt + Vm^{2} - am^{2} - cm^{2} } \right)}}{4m}. \\ \end{aligned}$$

Appendix 3: Proof for the vertical Nash Model

A manufacturer conditions its wholesale and online prices on the retail margin \(k = p_{r}^{N} - w.\) Then, the manufacturer’s profit function is given by:

$$\varPi_{M}^{N} = m\left( {w^{N} - c} \right)\left( {\frac{{V - p_{R}^{N} }}{t}} \right) + \left( {1 - m} \right)\left( {w^{N} - c} \right)\left( {\frac{{p_{D}^{N} + a - p_{R}^{N} }}{t}} \right) + \left( {1 - m} \right)\left( {p_{D}^{N} - c} \right)\left( {1 - \frac{{p_{D}^{N} + a - p_{R}^{N} }}{t}} \right),$$

where N denotes vertical Nash model.

The first-order conditions are:

$$\begin{aligned} \frac{{\partial \varPi_{M}^{N} }}{{\partial w^{N} }} & = a + Vm - am + cm - w^{N} + 2p_{D}^{N} - p_{R}^{N} - 2mp_{D}^{N} = 0 \\ \frac{{\partial \varPi_{M}^{N} }}{{\partial p_{D}^{N} }} & = a - t - w^{N} + 2p_{D}^{N} - p_{R}^{N} = 0. \\ \end{aligned}$$

From the above equations we obtain the following reaction functions:

$$w^{N} = \frac{1}{m}\left( {t + Vm + cm - mt - mp_{R}^{N} } \right),\quad p_{D}^{N} = \frac{1}{2}(p_{R}^{N} - a + t + w^{N} ).$$

The retailer’s profit function is given by:

$$\varPi_{R}^{N} = m\left( {p_{R}^{N} - w^{N} } \right)\left( {\frac{{V - p_{R}^{N} }}{t}} \right) + \left( {1 - m} \right)\left( {p_{R}^{N} - w^{N} } \right)\left( {\frac{{p_{D}^{N} + a - p_{R}^{N} }}{t}} \right).$$

The retailer chooses its retail price to maximise its profit function by anticipating the manufacturer’s wholesale price and direct online prices. The first-order condition is given by:

$$\frac{{\partial \varPi_{R}^{N} }}{{\partial p_{R}^{N} }} = a + Vm - am + w^{N} + p_{D}^{N} - 2p_{R}^{N} - mp_{D}^{N} = 0.$$

From the first-order condition, we obtain the following reaction function as follows:

$$p_{R}^{N} = \frac{{a + Vm - am + w^{N} + p_{D}^{N} - mp_{D}^{N} }}{2}.$$

Then, optimal prices are derived from the above reaction functions as follows:

$$\begin{aligned} w^{N*} & = \frac{{3Vm - Vm^{2} - am + 3cm + 3t - 3mt + am^{2} + cm^{2} }}{6m} \\ p_{D}^{N*} & = \frac{Vm + t - am + cm}{2m} \\ p_{R}^{N*} & = \frac{{3Vm + Vm^{2} + am + 3cm + 3t - 3mt - am^{2} - cm^{2} }}{6m}. \\ \end{aligned}$$

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Chun, SH., Park, SY. Hybrid marketing channel strategies of a manufacturer in a supply chain: game theoretical and numerical approaches. Inf Technol Manag 20, 187–202 (2019). https://doi.org/10.1007/s10799-019-00302-3

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