# Supply Chain Decision Analysis of Community E-Commerce Platform under Different Power Structures: Considering the Influence of Value Cocreation

Authors: Ziyu Liu; Yaping Li
Journal: Computational Intelligence and Neuroscience
 (2021)

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## Abstract

In order to explore the impact of different decision-making methods on the profits of various entities in the supply chain of the community e-commerce platform, this paper adopts the method of the Stackelberg game. For the community e-commerce platform supply chain composed of suppliers, community e-commerce platforms, and grid station service providers, considering the degree of supplier value cocreation efforts, this paper studies the optimal decisions under centralized decision-making, supplier-led decentralized decision-making, and community e-commerce platform-led decentralized decision-making, respectively. The results show that the supply chain obtains the highest profit in centralized decision-making; under decentralized decision-making, the dominant party will get higher profits; and the supplier value cocreation sensitivity coefficient is positively correlated with sales price, value cocreation effort level, and total supply chain value. The results are helpful to improve the competitiveness of the community e-commerce platform supply chain in the market and are of great significance to the long-term development of the community e-commerce industry.


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## Body

## 1. Introduction

The community e-commerce platform is a shopping platform that has emerged in recent years, such as Jingxi Pinpin, Meituan Preferred, and Duoduomai, gradually participating in people’s lives. Buying goods online and picking up offline, this combination of online and offline shopping provides consumers with many conveniences. Consumers can purchase products using mobile apps, reducing the inconvenience of traditional offline shopping, and meet the fast pace of modern life, which is widely accepted by people. At the same time, there are more and more community e-commerce platforms, and the competition between platforms has become increasingly fierce. Therefore, while providing convenience to consumers, community e-commerce platforms should also pay attention to their own profits. The competition between community e-commerce platforms has gradually escalated to between supply chains, considering value cocreation is an effective way for the supply chain to gain a competitive advantage. By integrating resources between enterprises and the interaction between enterprises and consumers, corporate profits and supply chain profits can be improved. With the deepening of consumer theory, the value cocreation centered on consumers has become the source of obtaining new competitive advantages [1]. Through consumers’ value cocreation, enterprises can obtain information about consumers’ needs, increase customer loyalty and supply chain value by providing products or services that satisfy consumers. At the same time, the dominant position in the supply chain is very important, which directly affects its optimal decision and maximum profit.


## 2. Literature Review

Research on supply chain value cocreation is mostly based on case studies to analyze the specific content and impact of value cocreation in a certain field. Wan et al. connected the open innovation subject with the value creation model of supply chain and conducted numerical analysis on supply chain value and consumer value [2]. Shen et al. found that a large part of the value creation of brand community e-commerce companies is through the positive contributions of consumers [3]. Hein et al. constructed a platform enterprise ecosystem model based on value creation, analyzed its value creation system, and studied the cooperative relationship between all parties, expounding the value relationship between all stakeholders [4].Previous studies on supply chain decision focused on the impact of different power structures on decision-making. Luo et al. established a multistage game model to study the impact of different power structures on pricing decisions, retailer, and manufacturer profits [5]. Ma et al. believed that only the dominant manufacturer can benefit from the wholesale price strategy, while both manufacturers and retailers can benefit from the channel strategy [6]. Zhao and Li established a Nash game model and a Stackelberg game model for a low-carbon supply chain consisting of manufacturers and retailers [7]. Gao et al. considered sales effort and explored the impact of different rights structures on the optimal decision-making and performance of a closed-loop supply chain [8, 9].At present, there are few studies on the community e-commerce platform, mainly focusing on its development and model. Liu analyzed the development status and mode of fresh community e-commerce and believed its market demand and potential are huge [10]. Some scholars have also studied consumers’ purchasing intention. Li explored the differences in purchasing intention and influencing factors of different consumers in community e-commerce [11]. Jian and Yang constructed a consumer purchase decision model of community e-commerce and explored the mechanism of community e-commerce characteristics and trust on consumers’ purchasing intention [12].The current research on supply chain value cocreation is still in the aspect of the case and empirical research, and there is very little research on model analysis. Therefore, this paper takes the community e-commerce platform supply chain as the research object, and supplier value cocreation effort level is considered. It explores the impact of different power structures on sales prices, sales volume, and profit creation.


## 3. Research Method

### 3.1. Stackelberg Game Method

The Stackelberg game method is the main research method used in this article. It is a game model proposed by economist Stackelberg in the 1930s to reflect asymmetric competition between enterprises. Assuming that there are two participants in the game, enterprise 1 first decides its output, and enterprise 2 makes output decisions based on enterprise 1’s decision. Therefore, enterprise 1 must consider how enterprise 2 will respond when making decisions.Since the decision-making sequence is involved in the game, the position of each player should be judged first. The dominant position is the leader of the game, and the other is the follower. The follower‘s reaction to the market is easily predicted by the leader, and the leader makes decisions that are beneficial to him based on the response of the followers. Most of the current research on supply chain decision-making regards the supplier as the leader of the supply chain. According to the retailer’s sales forecast and market demand function, the supplier makes the optimal decision combining with the cost and other factors to determine the wholesale price. Then, retailers determine retail prices based on wholesale prices.Nevertheless, in real life, with the development of online sales channels such as e-commerce and community e-commerce platforms, the position of each participant in the supply chain is changing gradually. Taking the community e-commerce platform supply chain as an example, some community e-commerce platforms may play a leading role in the supply chain. Therefore, the impact of the decision-making approach on the profitability of the supply chain and each participant has to be fully considered. Because community e-commerce platforms and suppliers occupy an important position in the supply chain, grid station service providers are in a noncore position, only responsible for the selection and distribution of goods, and do not involve operation decisions within the supply chain such as product pricing and order quantities. Therefore, the grid station service provider is no longer added to the decision-making of the supply chain. Based on this, there are three decision-making methods: centralized decision-making in the community e-commerce platform supply chain, decentralized decision-making led by the supplier, and decentralized decision-making led by the community e-commerce platform.


### 3.2. Related Theories

#### 3.2.1. Supply Chain Decision Theory

According to the decision-making mode, it can be divided into centralized decision-making and decentralized decision-making.Centralized decision-making refers to the collective decision-making of the main participants in the supply chain and takes the maximization of the overall benefit of the supply chain as the decision-making goal [13]. However, in fact, centralized decision-making is an ideal state, participants often pursue the maximization of their own profits, and it is difficult to achieve the maximization of overall profit.Decentralized decision-making means that each participant in the supply chain makes decisions independently and pursues their own best profits rather than the maximization of overall profit.Section5 discusses the situation of the community e-commerce platform supply chain under centralized and decentralized decision-making. Among them, decentralized decision-making is divided into two situations. One is a supplier-led supply chain, where the community e-commerce platform acts as a follower and makes relevant decisions based on the supplier’s strategy. The other is dominated by community e-commerce platforms, where suppliers act as platform followers and make strategies based on platform decisions.


#### 3.2.2. Market Demand Theory

Market demand is the total amount of goods that a particular group of consumers may purchase in a given region, time, and circumstances [14]. Moreover, it is affected by total demand and price. Higher prices decrease the quantity demanded, and lower prices increase the quantity demanded, expressed by formula Q = a − bP, where a is the total market demand, b is the sensitivity coefficient of demand to price, and the main factors affecting demand include the product price, consumer preference, and other factors.In this paper, the basic hypothesis of Section4 uses the market demand theory to represent the relationship between market demand and cost faced by community e-commerce platforms.


#### 3.2.3. Diminishing Marginal Effect

The diminishing marginal effect refers to the continuous input of a certain element under other conditions remaining unchanged [14]. When the input increases to a certain amount, the increment that can be achieved by the unit element becomes less. In other words, the cost per unit increment is going to be higher.In this paper, the basic hypothesis in Section4 uses the theory of diminishing marginal effect to represent the cost of suppliers participating in value cocreation.


## 3.1. Stackelberg Game Method

The Stackelberg game method is the main research method used in this article. It is a game model proposed by economist Stackelberg in the 1930s to reflect asymmetric competition between enterprises. Assuming that there are two participants in the game, enterprise 1 first decides its output, and enterprise 2 makes output decisions based on enterprise 1’s decision. Therefore, enterprise 1 must consider how enterprise 2 will respond when making decisions.Since the decision-making sequence is involved in the game, the position of each player should be judged first. The dominant position is the leader of the game, and the other is the follower. The follower‘s reaction to the market is easily predicted by the leader, and the leader makes decisions that are beneficial to him based on the response of the followers. Most of the current research on supply chain decision-making regards the supplier as the leader of the supply chain. According to the retailer’s sales forecast and market demand function, the supplier makes the optimal decision combining with the cost and other factors to determine the wholesale price. Then, retailers determine retail prices based on wholesale prices.Nevertheless, in real life, with the development of online sales channels such as e-commerce and community e-commerce platforms, the position of each participant in the supply chain is changing gradually. Taking the community e-commerce platform supply chain as an example, some community e-commerce platforms may play a leading role in the supply chain. Therefore, the impact of the decision-making approach on the profitability of the supply chain and each participant has to be fully considered. Because community e-commerce platforms and suppliers occupy an important position in the supply chain, grid station service providers are in a noncore position, only responsible for the selection and distribution of goods, and do not involve operation decisions within the supply chain such as product pricing and order quantities. Therefore, the grid station service provider is no longer added to the decision-making of the supply chain. Based on this, there are three decision-making methods: centralized decision-making in the community e-commerce platform supply chain, decentralized decision-making led by the supplier, and decentralized decision-making led by the community e-commerce platform.


## 3.2. Related Theories

### 3.2.1. Supply Chain Decision Theory

According to the decision-making mode, it can be divided into centralized decision-making and decentralized decision-making.Centralized decision-making refers to the collective decision-making of the main participants in the supply chain and takes the maximization of the overall benefit of the supply chain as the decision-making goal [13]. However, in fact, centralized decision-making is an ideal state, participants often pursue the maximization of their own profits, and it is difficult to achieve the maximization of overall profit.Decentralized decision-making means that each participant in the supply chain makes decisions independently and pursues their own best profits rather than the maximization of overall profit.Section5 discusses the situation of the community e-commerce platform supply chain under centralized and decentralized decision-making. Among them, decentralized decision-making is divided into two situations. One is a supplier-led supply chain, where the community e-commerce platform acts as a follower and makes relevant decisions based on the supplier’s strategy. The other is dominated by community e-commerce platforms, where suppliers act as platform followers and make strategies based on platform decisions.


### 3.2.2. Market Demand Theory

Market demand is the total amount of goods that a particular group of consumers may purchase in a given region, time, and circumstances [14]. Moreover, it is affected by total demand and price. Higher prices decrease the quantity demanded, and lower prices increase the quantity demanded, expressed by formula Q = a − bP, where a is the total market demand, b is the sensitivity coefficient of demand to price, and the main factors affecting demand include the product price, consumer preference, and other factors.In this paper, the basic hypothesis of Section4 uses the market demand theory to represent the relationship between market demand and cost faced by community e-commerce platforms.


### 3.2.3. Diminishing Marginal Effect

The diminishing marginal effect refers to the continuous input of a certain element under other conditions remaining unchanged [14]. When the input increases to a certain amount, the increment that can be achieved by the unit element becomes less. In other words, the cost per unit increment is going to be higher.In this paper, the basic hypothesis in Section4 uses the theory of diminishing marginal effect to represent the cost of suppliers participating in value cocreation.


## 3.2.1. Supply Chain Decision Theory

According to the decision-making mode, it can be divided into centralized decision-making and decentralized decision-making.Centralized decision-making refers to the collective decision-making of the main participants in the supply chain and takes the maximization of the overall benefit of the supply chain as the decision-making goal [13]. However, in fact, centralized decision-making is an ideal state, participants often pursue the maximization of their own profits, and it is difficult to achieve the maximization of overall profit.Decentralized decision-making means that each participant in the supply chain makes decisions independently and pursues their own best profits rather than the maximization of overall profit.Section5 discusses the situation of the community e-commerce platform supply chain under centralized and decentralized decision-making. Among them, decentralized decision-making is divided into two situations. One is a supplier-led supply chain, where the community e-commerce platform acts as a follower and makes relevant decisions based on the supplier’s strategy. The other is dominated by community e-commerce platforms, where suppliers act as platform followers and make strategies based on platform decisions.


## 3.2.2. Market Demand Theory

Market demand is the total amount of goods that a particular group of consumers may purchase in a given region, time, and circumstances [14]. Moreover, it is affected by total demand and price. Higher prices decrease the quantity demanded, and lower prices increase the quantity demanded, expressed by formula Q = a − bP, where a is the total market demand, b is the sensitivity coefficient of demand to price, and the main factors affecting demand include the product price, consumer preference, and other factors.In this paper, the basic hypothesis of Section4 uses the market demand theory to represent the relationship between market demand and cost faced by community e-commerce platforms.


## 3.2.3. Diminishing Marginal Effect

The diminishing marginal effect refers to the continuous input of a certain element under other conditions remaining unchanged [14]. When the input increases to a certain amount, the increment that can be achieved by the unit element becomes less. In other words, the cost per unit increment is going to be higher.In this paper, the basic hypothesis in Section4 uses the theory of diminishing marginal effect to represent the cost of suppliers participating in value cocreation.


## 4. Result

### 4.1. Model Description

The SCG supply chain studied in this paper is a three-level supply chain composed of suppliers (S), community e-commerce platform (C), and grid station service provider (G). The structure is shown in Figure 1. The supplier is responsible for the production and supply of goods. The community e-commerce platform provides a platform for consumers to browse and order goods. It sets up goods on the platform and publishes information on goods and activities. Consumers determine the purchase by browsing relevant information. In addition, the community e-commerce platform is also responsible for collecting consumer feedback on goods. Grid station service provider picks and distributes goods according to consumer order content.Figure 1
Supply chain structure of community e-commerce platform.This paper considers the value cocreation efforts of suppliers in the decision-making of this three-level supply chain. As the source of the supply chain, suppliers provide goods or services for the entire supply chain and sell them through the community e-commerce platform [15]. The quality of goods or services directly affects consumer experience and satisfaction. Only when consumers approve the goods or services will they repeat purchases of the goods or services in the future, thereby increasing the sales volume of the supply chain and occupying a unique competitive advantage in the fierce market competition. Suppliers’ value cocreation behavior is reflected in all aspects of product production and design. In terms of product design, suppliers widely absorb consumer demand and opinions and design and improve goods according to demand to meet more consumers. In terms of production, select more appropriate raw materials and processes to meet consumer demand for quality and so on.


### 4.2. Basic Assumptions

Hypothesis 1: Based on the hypothesis of economic man and rational man, all the research subjects in this paper are completely rational. They aim to maximize their own profits and assume information sharing among enterprises in the chain.Hypothesis 2: Assume that the wholesale price of the supplier to the community e-commerce platform isW and production cost is C1. The selling price of the community e-commerce platform is P, and the cost of the unit product is C2. The income of the grid station service provider for product selection and distribution per unit is Z.Hypothesis 3: Assume the value cocreation effort cost of the supplier isCv=1/2αv2. According to the diminishing marginal effect, the marginal utility of unit cost is diminishing when the level of effort becomes higher, and the cost of unit effort is increasing. Among them, α is the supplier’s value cocreation cost coefficient, v is the supplier’s value cocreation effort level, and the value range is 0≤v≤1.Hypothesis 4: Assuming that the market demand is related to the price and the degree of cocreation of supplier value, the market demand function isQ=a−bP+sv. Among them, P and Q are the price and sales volume of the product, respectively, a represents the maximum capacity of the market, b represents the sensitivity coefficient of demand to price, and s is the sensitivity coefficient of supplier value cocreation, where a, b, and s are constants greater than zero.


### 4.3. Model Construction

According to the above model description and basic assumptions of the SCG community e-commerce platform supply chain, the value function of each participant can be obtained.The value of the supplier is(1)π1=W−C1Q−12αv2.The value of the community e-commerce platform is(2)π2=P−W−C2−ZQ.The grid station service provider value is(3)π3=ZQ.The supply chain value of the SCG community e-commerce platform is(4)πSCG=π1+π2+π3=P−C1−C2Q−12αv2.


## 4.1. Model Description

The SCG supply chain studied in this paper is a three-level supply chain composed of suppliers (S), community e-commerce platform (C), and grid station service provider (G). The structure is shown in Figure 1. The supplier is responsible for the production and supply of goods. The community e-commerce platform provides a platform for consumers to browse and order goods. It sets up goods on the platform and publishes information on goods and activities. Consumers determine the purchase by browsing relevant information. In addition, the community e-commerce platform is also responsible for collecting consumer feedback on goods. Grid station service provider picks and distributes goods according to consumer order content.Figure 1
Supply chain structure of community e-commerce platform.This paper considers the value cocreation efforts of suppliers in the decision-making of this three-level supply chain. As the source of the supply chain, suppliers provide goods or services for the entire supply chain and sell them through the community e-commerce platform [15]. The quality of goods or services directly affects consumer experience and satisfaction. Only when consumers approve the goods or services will they repeat purchases of the goods or services in the future, thereby increasing the sales volume of the supply chain and occupying a unique competitive advantage in the fierce market competition. Suppliers’ value cocreation behavior is reflected in all aspects of product production and design. In terms of product design, suppliers widely absorb consumer demand and opinions and design and improve goods according to demand to meet more consumers. In terms of production, select more appropriate raw materials and processes to meet consumer demand for quality and so on.


## 4.2. Basic Assumptions

Hypothesis 1: Based on the hypothesis of economic man and rational man, all the research subjects in this paper are completely rational. They aim to maximize their own profits and assume information sharing among enterprises in the chain.Hypothesis 2: Assume that the wholesale price of the supplier to the community e-commerce platform isW and production cost is C1. The selling price of the community e-commerce platform is P, and the cost of the unit product is C2. The income of the grid station service provider for product selection and distribution per unit is Z.Hypothesis 3: Assume the value cocreation effort cost of the supplier isCv=1/2αv2. According to the diminishing marginal effect, the marginal utility of unit cost is diminishing when the level of effort becomes higher, and the cost of unit effort is increasing. Among them, α is the supplier’s value cocreation cost coefficient, v is the supplier’s value cocreation effort level, and the value range is 0≤v≤1.Hypothesis 4: Assuming that the market demand is related to the price and the degree of cocreation of supplier value, the market demand function isQ=a−bP+sv. Among them, P and Q are the price and sales volume of the product, respectively, a represents the maximum capacity of the market, b represents the sensitivity coefficient of demand to price, and s is the sensitivity coefficient of supplier value cocreation, where a, b, and s are constants greater than zero.


## 4.3. Model Construction

According to the above model description and basic assumptions of the SCG community e-commerce platform supply chain, the value function of each participant can be obtained.The value of the supplier is(1)π1=W−C1Q−12αv2.The value of the community e-commerce platform is(2)π2=P−W−C2−ZQ.The grid station service provider value is(3)π3=ZQ.The supply chain value of the SCG community e-commerce platform is(4)πSCG=π1+π2+π3=P−C1−C2Q−12αv2.


## 5. Discussion

### 5.1. Centralized Decision-Making

Under centralized decision-making, all enterprises in the supply chain aim to achieve the maximum profit of the supply chain. Jointly decide the optimal pricePc∗ and supplier value cocreation effort level vc∗ together. At this point, the profit function of supply chain decision is(5)πSCG=P−C1−C2a−bP+sv−12αv2.First, calculate the second derivative ofP and v separately from equation (5) to obtain the Hessian matrix:(6)H=∂2πSCG∂P2∂2πSCG∂P∂V∂2πSCG∂V∂P∂2πSCG∂V2=−2bss−α.Since |H| ≥ 0, the second-order Hessian matrix is a positive definite matrix, and π SCG is a strictly concave function of P and v. At this time, there is a unique optimal solution.Combine first-order conditions∂πSCG/∂P=0 和 ∂πSCG/∂v=0, which can be solved as(7)Pc∗=αa+αb−s2c1+c22αb−s2,vc∗=sa−sbc1+c22αb−s2.Substituting the result into the market demand function, we can obtain(8)Qc∗=αab−αb2c1+c22αb−s2.At this time, the overall maximum profit of the SCG supply chain is(9)πSCG=αa−bc1+c2222αb−s2.In summary, we can getConclusion 1.Conclusion 1.
In the case of centralized decision-making, the optimal decision of SCG community e-commerce platform supply chain isPc∗=αa+αb−s2c1+c2/2αb−s2, vc∗=sa−sbc1+c2/2αb−s2, Qc∗=αab−αb2c1+c2/2αb−s2, and the maximum profit of the supply chain is πSCG=αa−bc1+c22/22αb−s2.


### 5.2. Decentralized Decision-Making

#### 5.2.1. Community E-Commerce Platform-Led Decentralized Decision-Making

In decentralized decision-making, the members of the supply chain make decisions independently and take their own maximum profit as the decision-making goal. In the case of community e-commerce platform leading, the community e-commerce platform first considers its own maximum profit. The decision sequence is as follows: firstly, the community e-commerce platform decides the sales priceP and the order quantity Q, then the supplier decides the wholesale price W and the supplier value cocreation effort level v, and uses the backward induction method of the Stackelberg game to solve the model [16].By backward induction, first calculate the response function of the supplier, then substitute the profit function of the community e-commerce platform to obtain the optimal decision of the community e-commerce platform and, finally calculate the optimal value of each subject. Since directly substituting the wholesale priceW into the supplier’s profit function cannot calculate the optimal solution, assume that the supplier’s profit per unit of a commodity is n, and the sales price P is expressed as P = W + n.Therefore, the profit function of suppliers in the SCG supply chain is(10)π1=W−C1Q−12αv2,W−C1a−bw+n+sv−12αv2.Similar to the derivation process of centralized decision-making, the second derivative ofW and v can be obtained by calculating the second derivative of W and v, respectively, to obtain the Hessian matrix:(11)H2=∂2π1∂W2∂2π1∂W∂V∂2π1∂V∂W∂2π1∂V2=−2bss−α.Since |H2| ≥ 0, we can get that π1 is a strictly concave function about W and v, and π1 has the only optimal solution.Combine first-order conditions∂π1/∂W=0 和 ∂π1/∂v=0, which can be solved as(12)W1∗=αa+bc1−s2c1−αbn2αb−s2,v1∗=sa−bc1−bn2αb−s2.Next, find the optimal strategy of the community e-commerce platform. The profit function of the community e-commerce platform is(13)π2=P−W−C2−Za−bp+sv.SubstituteP = W + n into the profit function and simplify to obtain(14)π2=n−C2−Za−bw−bn+sv.Find the second partial derivative ofn with respect to π2, ∂2π2/∂n2=−2b<0. Therefore, π2 is a concave function about n, and there is a unique optimal solution. Letting ∂π2/∂n=0, we can get(15)n1∗=a−bc1+bC2+Z2b.Substitutingn∗ into W∗ and v∗, we can get(16)W1∗=αa+b3c1−c2−Z−2s2c122αb−s2,v1∗=sa−bc1+c2+Z22αb−s2.Substitutingn∗ and W∗ into the function P = W + n, the sales price P∗ of the community e-commerce platform can be obtained:(17)P1∗=αb2c1+c2+Z+b3αa−s2c1+c2+Z−as22b2αb−s2.SubstitutingP∗ into the market demand function Q = a − bp + sv, Q∗ can be obtained by calculation and simplification:(18)Q1∗=αba−bc1+c2+Z22αb−s2.Conclusion 2.
Under the decentralized decision-making led by the community e-commerce platform, the optimal strategy of the SCG supply chain is the sales price(19)P1∗=αbc1+c2+Z+b3αa−s2c1+c2+Z−as22b2αb−s2,Q1∗=αba−bc1+c2+Z22αb−s2,v1∗=sa−bc1+c2+Z22αb−s2.


#### 5.2.2. Supplier-Led Decentralized Decision-Making

In the case of supplier-led, the supplier first considers the maximization of its own interests. The decision sequence is as follows: the supplier decides the wholesale priceW and the supplier value cocreation effort level v, and then the community e-commerce platform decides the sales price P and order quantity Q of the product.First, calculate the optimal strategy of the community e-commerce platform. The profit function of the community e-commerce platform is(20)π2=P−W−C2−ZQ=P−W−C2−Za−bP+sv.Find the second partial derivative of P with respect toπ2, ∂2π2/∂P2=−2b. Therefore, π2 is a strictly concave function, and there is a unique optimal solution. So letting ∂πSCG/∂P=0, we can get the optimal sales price of community e-commerce platform P2∗:(21)P2∗=a+sv+bw+z+c22b.Next, solve the supplier’s optimal strategy, and the supplier’s profit function is(22)π1=W−C1Q−=W−C1a−bp+sv−12αv2.SubstituteP2∗ into equation (22) and simplify(23)π1=aw−w2b−bcw+svw−ac1+wbc1+bc1c2+z−svc1−12αv2.Calculating the second derivative ofW and v, respectively, for equation (23), we can get the Hessian matrix:(24)H3=∂2π1∂W2∂2π1∂W∂V∂2π1∂V∂W∂2π1∂V2=−2bss−α.Since |H3| ≥ 0, we can get that π1 is a strictly concave function about W and v and π1 has the only optimal solution.Combining the first-order conditions∂π1/∂W=0 and ∂π1/∂v=0, we can solve it(25)W2∗=aα+αbc1−Z−c2−s2c12αb−s2,V2∗=sa−bz+c1+c22αb−s2.SubstitutingW∗, v∗ into P. P∗, Q∗ can be calculated(26)P2∗=3aα+bα−2s2z+c1+c222αb−s2,Q2∗=αba−bc1+c2+Z22αb−s2.Conclusion 3.
Under the supplier-led decentralized decision-making, the optimal price isP2∗=3aα+bα−2s2z+c1+c2/22αb−s2, and Q2∗=αba−bc1+c2+Z/22αb−s2, W2∗=aα+αbc1−Z−c2−s2c1/2αb−s2, v2∗=sa−bz+c1+c2/2αb−s2.


### 5.3. Comparative Analysis of Models

Through the above solution, the optimal strategy in these three cases can be obtained, as shown in Table1.Table 1
Comparison of the supply chain of community e-commerce platforms under different decision-making modes.
Centralized decisionDecentralized decision-makingCommunity e-commerce platform dominatesSupplier-ledP∗αa+αb−s2c1+c2/2αb−s2αb2c1+c2+Z+b3αa−s2c1+c2+Z−as2/2b2αb−s23aα+bα−2s2z+c1+c2/22αb−s2V∗sa−sbc1+c2/2αb−s2sa−bc1+c2+Z/22αb−s2sa−bz+c1+c2/2αb−s2Q∗αab−αb2c1+c2/2αb−s2αba−bc1+c2+Z/22αb−s2αba−bc1+c2+Z/22αb−s2W∗αa+b3c1−c2−Z−2s2c1/22αb−s2aα+αbc1−c2−Z−s2c1/2αb−s2By sorting out the results in Table1, the optimal sales price, supplier value cocreation effort level, and supplier wholesale price under different decentralized decisions have the following relationship: P1∗<P2∗, W1∗<W2∗, V1∗>V2∗.Proof.
P1∗−P2∗=s2bc1+c2+Z−a/2b2αb−s2<0, v1∗−v2∗=−sa−bz+c1+c2/2αb−s2<0, W1∗−W2∗=sbz+c1+c2−a/22αb−s2<0.
This shows that different dominant modes will bring different optimal strategies to the supply chain of the community e-commerce platform and have different effects on the supply chain. In the case of community e-commerce platform dominance, the optimal selling price, supplier value cocreation effort, and the optimal wholesale price are all smaller than the optimal selling price in the case of supplier dominance.


### 5.4. Numerical Analysis

In the calculation above, we have obtained a series of results under different decision modes. In order to further analyze and verify the optimal decisions of community e-commerce platforms, suppliers, and grid service providers under different decision modes, we will conduct numerical analysis in this section.By referring to previous literature, this paper assumes that the values of each parameter are as follows:a = 100, b = 0.7, c1 = 7, c2 = 2, Z = 1, α = 0.2, s = 0.15. The optimal decision and maximum profit under different decision modes are shown in Table 2.Table 2
Results analysis of different decision-making modes of SCG community e-commerce platform supply chain.
Centralized decisionDecentralized decision-makingCommunity e-commerce platform dominatesSupplier-ledP∗81.77112.54118.35v∗54.5827.0854.17Q∗50.9425.2825.28W∗43.1279.23π1839.781532.53π21679.1913.11π325.2825.28πSCG3409.592544.162470.93Change the value ofs, so a = 100, b = 0.7, c1 = 7, c2 = 2, Z = 1, α = 0.2, s = 0.2. The optimal decision and maximum profit under different decision modes are shown in Table 3.Table 3
Results analysis of different decision-making modes of SCG community e-commerce platform supply chain.
Centralized decisionDecentralized decision-makingCommunity e-commerce platform dominatesSupplier-ledP∗87.08115.18126.25V∗78.0838.7577.5Q∗54.6627.1327.13W∗45.7584.5π1901.131501.94π21802.241051.29π327.1327.13πSCG3658.22730.52580.36It can be seen from Table2 that the results calculated by the calculation example are consistent with the conclusions drawn from the above model analysis.(1)
The first thing that can be obtained is that when the SCG supply chain makes decentralized decision-making, the optimal decision will be affected by the dominant power. Under the supply chain dominated by community e-commerce platforms, the wholesale price of suppliers is 43.12, the sales price is 112.54, and the supplier value cocreation effort level is 27.08. When the supplier leads, the wholesale price is 79.23, the sales price is 118.35, and the supplier value cocreation effort level is 54.17. When the community e-commerce platform dominates the supply chain, to maximize its own profits, the community e-commerce platform uses the dominant advantage of the supply chain to lower the wholesale price of suppliers as much as possible, while suppliers keep their profits from falling sharply by lowering the level of value cocreation. When the supplier is the leader of the supply chain, it will keep the wholesale price at a high level as much as possible and increase the level of value cocreation to meet the needs of more consumers and increase sales. Through these two methods to obtain their own maximum profits.(2)
When decentralized decision-making, different power structures will bring different effects to community e-commerce platforms, suppliers, grid station service providers, and even the entire supply chain. When the community e-commerce platform is the leader of the supply chain, the profit of the community e-commerce platform is 1679.1, the profit of the supplier is 839.78, the profit of the grid station service provider is 25.28, and the total profit of the supply chain is 2544.16. When the supplier occupies the leading position in the supply chain, the profit of the community e-commerce platform is 913.11, the profit of the supplier is 1532.53, the profit of the grid station service provider is 25.28, and the total profit of the SCG community e-commerce platform supply chain is 2470.93. It can be seen that the dominant power will have different effects on the profits of different entities in the supply chain. When the community e-commerce platform is the dominant player, the profit of the community e-commerce platform is greater than that of the supplier. When suppliers dominate, supplier profits are much higher than community e-commerce platform profits.(3)
Under centralized decision-making, the maximum profit of the SCG supply chain is 3409.59. The overall profits of the supply chain under different decentralized decisions are 2544.16 and 2470.93, respectively, which are less than the profits obtained under the centralized decision-making model.(4)
It can be seen from Tables2 and 3 that whether it is in centralized decision-making or decentralized decision-making, when the supplier value cocreation sensitivity coefficient s increases, the sales price P, supplier value cocreation level v, and supply chain total value π all increase accordingly. Therefore, it can be seen that s is positively correlated with sales price P, supplier value cocreation level v, and total supply chain value π.


## 5.1. Centralized Decision-Making

Under centralized decision-making, all enterprises in the supply chain aim to achieve the maximum profit of the supply chain. Jointly decide the optimal pricePc∗ and supplier value cocreation effort level vc∗ together. At this point, the profit function of supply chain decision is(5)πSCG=P−C1−C2a−bP+sv−12αv2.First, calculate the second derivative ofP and v separately from equation (5) to obtain the Hessian matrix:(6)H=∂2πSCG∂P2∂2πSCG∂P∂V∂2πSCG∂V∂P∂2πSCG∂V2=−2bss−α.Since |H| ≥ 0, the second-order Hessian matrix is a positive definite matrix, and π SCG is a strictly concave function of P and v. At this time, there is a unique optimal solution.Combine first-order conditions∂πSCG/∂P=0 和 ∂πSCG/∂v=0, which can be solved as(7)Pc∗=αa+αb−s2c1+c22αb−s2,vc∗=sa−sbc1+c22αb−s2.Substituting the result into the market demand function, we can obtain(8)Qc∗=αab−αb2c1+c22αb−s2.At this time, the overall maximum profit of the SCG supply chain is(9)πSCG=αa−bc1+c2222αb−s2.In summary, we can getConclusion 1.Conclusion 1.
In the case of centralized decision-making, the optimal decision of SCG community e-commerce platform supply chain isPc∗=αa+αb−s2c1+c2/2αb−s2, vc∗=sa−sbc1+c2/2αb−s2, Qc∗=αab−αb2c1+c2/2αb−s2, and the maximum profit of the supply chain is πSCG=αa−bc1+c22/22αb−s2.


## 5.2. Decentralized Decision-Making

### 5.2.1. Community E-Commerce Platform-Led Decentralized Decision-Making

In decentralized decision-making, the members of the supply chain make decisions independently and take their own maximum profit as the decision-making goal. In the case of community e-commerce platform leading, the community e-commerce platform first considers its own maximum profit. The decision sequence is as follows: firstly, the community e-commerce platform decides the sales priceP and the order quantity Q, then the supplier decides the wholesale price W and the supplier value cocreation effort level v, and uses the backward induction method of the Stackelberg game to solve the model [16].By backward induction, first calculate the response function of the supplier, then substitute the profit function of the community e-commerce platform to obtain the optimal decision of the community e-commerce platform and, finally calculate the optimal value of each subject. Since directly substituting the wholesale priceW into the supplier’s profit function cannot calculate the optimal solution, assume that the supplier’s profit per unit of a commodity is n, and the sales price P is expressed as P = W + n.Therefore, the profit function of suppliers in the SCG supply chain is(10)π1=W−C1Q−12αv2,W−C1a−bw+n+sv−12αv2.Similar to the derivation process of centralized decision-making, the second derivative ofW and v can be obtained by calculating the second derivative of W and v, respectively, to obtain the Hessian matrix:(11)H2=∂2π1∂W2∂2π1∂W∂V∂2π1∂V∂W∂2π1∂V2=−2bss−α.Since |H2| ≥ 0, we can get that π1 is a strictly concave function about W and v, and π1 has the only optimal solution.Combine first-order conditions∂π1/∂W=0 和 ∂π1/∂v=0, which can be solved as(12)W1∗=αa+bc1−s2c1−αbn2αb−s2,v1∗=sa−bc1−bn2αb−s2.Next, find the optimal strategy of the community e-commerce platform. The profit function of the community e-commerce platform is(13)π2=P−W−C2−Za−bp+sv.SubstituteP = W + n into the profit function and simplify to obtain(14)π2=n−C2−Za−bw−bn+sv.Find the second partial derivative ofn with respect to π2, ∂2π2/∂n2=−2b<0. Therefore, π2 is a concave function about n, and there is a unique optimal solution. Letting ∂π2/∂n=0, we can get(15)n1∗=a−bc1+bC2+Z2b.Substitutingn∗ into W∗ and v∗, we can get(16)W1∗=αa+b3c1−c2−Z−2s2c122αb−s2,v1∗=sa−bc1+c2+Z22αb−s2.Substitutingn∗ and W∗ into the function P = W + n, the sales price P∗ of the community e-commerce platform can be obtained:(17)P1∗=αb2c1+c2+Z+b3αa−s2c1+c2+Z−as22b2αb−s2.SubstitutingP∗ into the market demand function Q = a − bp + sv, Q∗ can be obtained by calculation and simplification:(18)Q1∗=αba−bc1+c2+Z22αb−s2.Conclusion 2.
Under the decentralized decision-making led by the community e-commerce platform, the optimal strategy of the SCG supply chain is the sales price(19)P1∗=αbc1+c2+Z+b3αa−s2c1+c2+Z−as22b2αb−s2,Q1∗=αba−bc1+c2+Z22αb−s2,v1∗=sa−bc1+c2+Z22αb−s2.


### 5.2.2. Supplier-Led Decentralized Decision-Making

In the case of supplier-led, the supplier first considers the maximization of its own interests. The decision sequence is as follows: the supplier decides the wholesale priceW and the supplier value cocreation effort level v, and then the community e-commerce platform decides the sales price P and order quantity Q of the product.First, calculate the optimal strategy of the community e-commerce platform. The profit function of the community e-commerce platform is(20)π2=P−W−C2−ZQ=P−W−C2−Za−bP+sv.Find the second partial derivative of P with respect toπ2, ∂2π2/∂P2=−2b. Therefore, π2 is a strictly concave function, and there is a unique optimal solution. So letting ∂πSCG/∂P=0, we can get the optimal sales price of community e-commerce platform P2∗:(21)P2∗=a+sv+bw+z+c22b.Next, solve the supplier’s optimal strategy, and the supplier’s profit function is(22)π1=W−C1Q−=W−C1a−bp+sv−12αv2.SubstituteP2∗ into equation (22) and simplify(23)π1=aw−w2b−bcw+svw−ac1+wbc1+bc1c2+z−svc1−12αv2.Calculating the second derivative ofW and v, respectively, for equation (23), we can get the Hessian matrix:(24)H3=∂2π1∂W2∂2π1∂W∂V∂2π1∂V∂W∂2π1∂V2=−2bss−α.Since |H3| ≥ 0, we can get that π1 is a strictly concave function about W and v and π1 has the only optimal solution.Combining the first-order conditions∂π1/∂W=0 and ∂π1/∂v=0, we can solve it(25)W2∗=aα+αbc1−Z−c2−s2c12αb−s2,V2∗=sa−bz+c1+c22αb−s2.SubstitutingW∗, v∗ into P. P∗, Q∗ can be calculated(26)P2∗=3aα+bα−2s2z+c1+c222αb−s2,Q2∗=αba−bc1+c2+Z22αb−s2.Conclusion 3.
Under the supplier-led decentralized decision-making, the optimal price isP2∗=3aα+bα−2s2z+c1+c2/22αb−s2, and Q2∗=αba−bc1+c2+Z/22αb−s2, W2∗=aα+αbc1−Z−c2−s2c1/2αb−s2, v2∗=sa−bz+c1+c2/2αb−s2.


## 5.2.1. Community E-Commerce Platform-Led Decentralized Decision-Making

In decentralized decision-making, the members of the supply chain make decisions independently and take their own maximum profit as the decision-making goal. In the case of community e-commerce platform leading, the community e-commerce platform first considers its own maximum profit. The decision sequence is as follows: firstly, the community e-commerce platform decides the sales priceP and the order quantity Q, then the supplier decides the wholesale price W and the supplier value cocreation effort level v, and uses the backward induction method of the Stackelberg game to solve the model [16].By backward induction, first calculate the response function of the supplier, then substitute the profit function of the community e-commerce platform to obtain the optimal decision of the community e-commerce platform and, finally calculate the optimal value of each subject. Since directly substituting the wholesale priceW into the supplier’s profit function cannot calculate the optimal solution, assume that the supplier’s profit per unit of a commodity is n, and the sales price P is expressed as P = W + n.Therefore, the profit function of suppliers in the SCG supply chain is(10)π1=W−C1Q−12αv2,W−C1a−bw+n+sv−12αv2.Similar to the derivation process of centralized decision-making, the second derivative ofW and v can be obtained by calculating the second derivative of W and v, respectively, to obtain the Hessian matrix:(11)H2=∂2π1∂W2∂2π1∂W∂V∂2π1∂V∂W∂2π1∂V2=−2bss−α.Since |H2| ≥ 0, we can get that π1 is a strictly concave function about W and v, and π1 has the only optimal solution.Combine first-order conditions∂π1/∂W=0 和 ∂π1/∂v=0, which can be solved as(12)W1∗=αa+bc1−s2c1−αbn2αb−s2,v1∗=sa−bc1−bn2αb−s2.Next, find the optimal strategy of the community e-commerce platform. The profit function of the community e-commerce platform is(13)π2=P−W−C2−Za−bp+sv.SubstituteP = W + n into the profit function and simplify to obtain(14)π2=n−C2−Za−bw−bn+sv.Find the second partial derivative ofn with respect to π2, ∂2π2/∂n2=−2b<0. Therefore, π2 is a concave function about n, and there is a unique optimal solution. Letting ∂π2/∂n=0, we can get(15)n1∗=a−bc1+bC2+Z2b.Substitutingn∗ into W∗ and v∗, we can get(16)W1∗=αa+b3c1−c2−Z−2s2c122αb−s2,v1∗=sa−bc1+c2+Z22αb−s2.Substitutingn∗ and W∗ into the function P = W + n, the sales price P∗ of the community e-commerce platform can be obtained:(17)P1∗=αb2c1+c2+Z+b3αa−s2c1+c2+Z−as22b2αb−s2.SubstitutingP∗ into the market demand function Q = a − bp + sv, Q∗ can be obtained by calculation and simplification:(18)Q1∗=αba−bc1+c2+Z22αb−s2.Conclusion 2.
Under the decentralized decision-making led by the community e-commerce platform, the optimal strategy of the SCG supply chain is the sales price(19)P1∗=αbc1+c2+Z+b3αa−s2c1+c2+Z−as22b2αb−s2,Q1∗=αba−bc1+c2+Z22αb−s2,v1∗=sa−bc1+c2+Z22αb−s2.


## 5.2.2. Supplier-Led Decentralized Decision-Making

In the case of supplier-led, the supplier first considers the maximization of its own interests. The decision sequence is as follows: the supplier decides the wholesale priceW and the supplier value cocreation effort level v, and then the community e-commerce platform decides the sales price P and order quantity Q of the product.First, calculate the optimal strategy of the community e-commerce platform. The profit function of the community e-commerce platform is(20)π2=P−W−C2−ZQ=P−W−C2−Za−bP+sv.Find the second partial derivative of P with respect toπ2, ∂2π2/∂P2=−2b. Therefore, π2 is a strictly concave function, and there is a unique optimal solution. So letting ∂πSCG/∂P=0, we can get the optimal sales price of community e-commerce platform P2∗:(21)P2∗=a+sv+bw+z+c22b.Next, solve the supplier’s optimal strategy, and the supplier’s profit function is(22)π1=W−C1Q−=W−C1a−bp+sv−12αv2.SubstituteP2∗ into equation (22) and simplify(23)π1=aw−w2b−bcw+svw−ac1+wbc1+bc1c2+z−svc1−12αv2.Calculating the second derivative ofW and v, respectively, for equation (23), we can get the Hessian matrix:(24)H3=∂2π1∂W2∂2π1∂W∂V∂2π1∂V∂W∂2π1∂V2=−2bss−α.Since |H3| ≥ 0, we can get that π1 is a strictly concave function about W and v and π1 has the only optimal solution.Combining the first-order conditions∂π1/∂W=0 and ∂π1/∂v=0, we can solve it(25)W2∗=aα+αbc1−Z−c2−s2c12αb−s2,V2∗=sa−bz+c1+c22αb−s2.SubstitutingW∗, v∗ into P. P∗, Q∗ can be calculated(26)P2∗=3aα+bα−2s2z+c1+c222αb−s2,Q2∗=αba−bc1+c2+Z22αb−s2.Conclusion 3.
Under the supplier-led decentralized decision-making, the optimal price isP2∗=3aα+bα−2s2z+c1+c2/22αb−s2, and Q2∗=αba−bc1+c2+Z/22αb−s2, W2∗=aα+αbc1−Z−c2−s2c1/2αb−s2, v2∗=sa−bz+c1+c2/2αb−s2.


## 5.3. Comparative Analysis of Models

Through the above solution, the optimal strategy in these three cases can be obtained, as shown in Table1.Table 1
Comparison of the supply chain of community e-commerce platforms under different decision-making modes.
Centralized decisionDecentralized decision-makingCommunity e-commerce platform dominatesSupplier-ledP∗αa+αb−s2c1+c2/2αb−s2αb2c1+c2+Z+b3αa−s2c1+c2+Z−as2/2b2αb−s23aα+bα−2s2z+c1+c2/22αb−s2V∗sa−sbc1+c2/2αb−s2sa−bc1+c2+Z/22αb−s2sa−bz+c1+c2/2αb−s2Q∗αab−αb2c1+c2/2αb−s2αba−bc1+c2+Z/22αb−s2αba−bc1+c2+Z/22αb−s2W∗αa+b3c1−c2−Z−2s2c1/22αb−s2aα+αbc1−c2−Z−s2c1/2αb−s2By sorting out the results in Table1, the optimal sales price, supplier value cocreation effort level, and supplier wholesale price under different decentralized decisions have the following relationship: P1∗<P2∗, W1∗<W2∗, V1∗>V2∗.Proof.
P1∗−P2∗=s2bc1+c2+Z−a/2b2αb−s2<0, v1∗−v2∗=−sa−bz+c1+c2/2αb−s2<0, W1∗−W2∗=sbz+c1+c2−a/22αb−s2<0.
This shows that different dominant modes will bring different optimal strategies to the supply chain of the community e-commerce platform and have different effects on the supply chain. In the case of community e-commerce platform dominance, the optimal selling price, supplier value cocreation effort, and the optimal wholesale price are all smaller than the optimal selling price in the case of supplier dominance.


## 5.4. Numerical Analysis

In the calculation above, we have obtained a series of results under different decision modes. In order to further analyze and verify the optimal decisions of community e-commerce platforms, suppliers, and grid service providers under different decision modes, we will conduct numerical analysis in this section.By referring to previous literature, this paper assumes that the values of each parameter are as follows:a = 100, b = 0.7, c1 = 7, c2 = 2, Z = 1, α = 0.2, s = 0.15. The optimal decision and maximum profit under different decision modes are shown in Table 2.Table 2
Results analysis of different decision-making modes of SCG community e-commerce platform supply chain.
Centralized decisionDecentralized decision-makingCommunity e-commerce platform dominatesSupplier-ledP∗81.77112.54118.35v∗54.5827.0854.17Q∗50.9425.2825.28W∗43.1279.23π1839.781532.53π21679.1913.11π325.2825.28πSCG3409.592544.162470.93Change the value ofs, so a = 100, b = 0.7, c1 = 7, c2 = 2, Z = 1, α = 0.2, s = 0.2. The optimal decision and maximum profit under different decision modes are shown in Table 3.Table 3
Results analysis of different decision-making modes of SCG community e-commerce platform supply chain.
Centralized decisionDecentralized decision-makingCommunity e-commerce platform dominatesSupplier-ledP∗87.08115.18126.25V∗78.0838.7577.5Q∗54.6627.1327.13W∗45.7584.5π1901.131501.94π21802.241051.29π327.1327.13πSCG3658.22730.52580.36It can be seen from Table2 that the results calculated by the calculation example are consistent with the conclusions drawn from the above model analysis.(1)
The first thing that can be obtained is that when the SCG supply chain makes decentralized decision-making, the optimal decision will be affected by the dominant power. Under the supply chain dominated by community e-commerce platforms, the wholesale price of suppliers is 43.12, the sales price is 112.54, and the supplier value cocreation effort level is 27.08. When the supplier leads, the wholesale price is 79.23, the sales price is 118.35, and the supplier value cocreation effort level is 54.17. When the community e-commerce platform dominates the supply chain, to maximize its own profits, the community e-commerce platform uses the dominant advantage of the supply chain to lower the wholesale price of suppliers as much as possible, while suppliers keep their profits from falling sharply by lowering the level of value cocreation. When the supplier is the leader of the supply chain, it will keep the wholesale price at a high level as much as possible and increase the level of value cocreation to meet the needs of more consumers and increase sales. Through these two methods to obtain their own maximum profits.(2)
When decentralized decision-making, different power structures will bring different effects to community e-commerce platforms, suppliers, grid station service providers, and even the entire supply chain. When the community e-commerce platform is the leader of the supply chain, the profit of the community e-commerce platform is 1679.1, the profit of the supplier is 839.78, the profit of the grid station service provider is 25.28, and the total profit of the supply chain is 2544.16. When the supplier occupies the leading position in the supply chain, the profit of the community e-commerce platform is 913.11, the profit of the supplier is 1532.53, the profit of the grid station service provider is 25.28, and the total profit of the SCG community e-commerce platform supply chain is 2470.93. It can be seen that the dominant power will have different effects on the profits of different entities in the supply chain. When the community e-commerce platform is the dominant player, the profit of the community e-commerce platform is greater than that of the supplier. When suppliers dominate, supplier profits are much higher than community e-commerce platform profits.(3)
Under centralized decision-making, the maximum profit of the SCG supply chain is 3409.59. The overall profits of the supply chain under different decentralized decisions are 2544.16 and 2470.93, respectively, which are less than the profits obtained under the centralized decision-making model.(4)
It can be seen from Tables2 and 3 that whether it is in centralized decision-making or decentralized decision-making, when the supplier value cocreation sensitivity coefficient s increases, the sales price P, supplier value cocreation level v, and supply chain total value π all increase accordingly. Therefore, it can be seen that s is positively correlated with sales price P, supplier value cocreation level v, and total supply chain value π.


## 6. Conclusion

This paper is aimed at a community e-commerce platform supply chain composed of suppliers, community e-commerce platforms, and grid station service providers and considers the value cocreation of suppliers. It analyzes the centralized decision-making and decentralized decision-making of the SCG model and gets the following conclusions.(1)
Different decision-making modes will bring different optimal strategies to the supply chain. The profit generated by the supply chain in centralized decision-making is greater than that generated by decentralized decision-making, and different power structures will bring different revenue situations to enterprises in the supply chain. Therefore, to maintain a high degree of coordination, all companies in the supply chain need to focus on coordination and cooperation to provide a good foundation for centralized decision-making. In order to ensure that companies in the supply chain can obtain information from each other timely and accurately, some emerging information technologies such as blockchain, big data, and Internet of Things technologies can be introduced into the supply chain of community e-commerce platforms. In addition, some measures must be taken to guarantee cooperation between supply chains. Enterprises in supply chains can find a reasonable profit distribution from the perspective of profit redistribution to benefit all enterprises in supply chains [17].(2)
Under decentralized decision-making, when the supplier is the leader, the effort cost of the supplier participating in value cocreation is higher than that when the community e-commerce platform is the leader. In this case, the wholesale price of goods will be higher than the price of the community e-commerce platform to obtain higher income. The position of the enterprise in the supply chain affects the profit of the enterprise directly. When it is a leader, the profit reaches the maximum, and when it is a follower, the profit is the smallest. Therefore, companies can improve their competitive advantages, enhance their irreplaceability in the supply chain, and strive for supply chain leadership to obtain their maximum profits. The publicity and sales activities of the platform itself and the products sold on the platform are valued by the community e-commerce platform. Consumers’ opinions and suggestions on the platform and products, paying attention to the emotional value of the consumers, are widely absorbed by it [18]. The platform has been satisfied and recognized by consumers by improving the service level from consumers’ perspective, and the number of audiences has been increased [19]. In this way, the community e-commerce platform can increase its brand influence, thereby improving its position in the supply chain; they improve their income and contribute to the overall efficiency of the supply chain. Suppliers can consolidate their position in consumers and the supply chain by improving the quality of their products and producing unique products to gain leadership advantages [20].(3)
Whether in centralized or decentralized decision-making, the sensitivity of supplier value cocreation is positively correlated with community e-commerce platform prices, supplier value cocreation efforts, and total supply chain profits. The greater the sensitivity, the higher the profitability of the supply chain. This shows that the increase in the supplier value cocreation sensitivity coefficient can increase the profit of the community e-commerce platform, the profit of the supplier, and the overall profit of the supply chain. Therefore, suppliers are more willing to participate in value cocreation and take some measures to increase the sensitivity coefficient, such as cultivating consumers’ consumption habits and adopting value cocreation methods that are more acceptable to consumers.Through combing the literature, it is found that the existing literature mainly studies the model and development trend of the community e-commerce platform supply chain, and there are few studies on the supply chain decision-making. In addition, there are few studies on supply chain value cocreation from the perspective of model analysis. Therefore, the main contribution of this paper is to introduce the degree of supplier value cocreation effort to the decision-making model of community e-commerce platform supply chain and explore the influence of supplier value cocreation on sales price, retail price, and profit of each enterprise, which provides a theoretical basis for the development of community e-commerce platform supply chain. However, this research is not unlimited. Firstly, when establishing the decision-making model, it is assumed that the members of the community e-commerce platform supply chain have already realized information sharing, and the noninteroperability of information is not considered. Secondly, there are often multiple suppliers and multiple commodities. This paper only studies the situation of a single supplier and single commodity. Therefore, in future research, other factors and subjects will be further considered in the model to obtain a conclusion closer to the implementation situation.



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*Source: 2522245-2021-11-30.xml*