2019
DOI: 10.1109/access.2019.2929272
|View full text |Cite
|
Sign up to set email alerts
|

Evolutionary Game Analysis of Online and Offline Drug Retailer Competition Based on Network Externalities

Abstract: Network externality is an important feature of the era of network economy. The competition between online and offline retail pharmacies caused by network externality is getting fiercer and fiercer. In this context, we studied the long-term market competition evolution of two-channel retail pharmacies under the network external environment, in order to obtain higher profits, two-channel retail pharmacies prefer to choose profit maximization marketing strategy or market share maximization marketing strategy. Usi… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1
1
1

Citation Types

0
9
0

Year Published

2019
2019
2023
2023

Publication Types

Select...
9

Relationship

0
9

Authors

Journals

citations
Cited by 11 publications
(9 citation statements)
references
References 23 publications
0
9
0
Order By: Relevance
“…The first strategy offers the product with supreme quality by procuring it from the main powerful supplier as a non-cooperative Stackelberg supply chain model in which the supplier plays a leader and the e-tailor is a follower; the second strategy offers the product from a less popular brand as an assortment planning problem model while considering utility degradation of providing alternative brand to the customers. The long-term market competition evolution of two-channel retail pharmacies under the network external environment is studied to obtain higher profits; two-channel retail pharmacies prefer to choose profit maximization marketing strategy or market share maximization marketing strategy (Li and Huang, 2019). The game theory combined with Monte Carlo simulation modeling is used to analyze different retail marketing strategies, in particular, using payoff matrices for modeling the likely outcomes from different retail marketing strategies (Taylor et al, 2019).…”
Section: Game Theory and Marketingmentioning
confidence: 99%
“…The first strategy offers the product with supreme quality by procuring it from the main powerful supplier as a non-cooperative Stackelberg supply chain model in which the supplier plays a leader and the e-tailor is a follower; the second strategy offers the product from a less popular brand as an assortment planning problem model while considering utility degradation of providing alternative brand to the customers. The long-term market competition evolution of two-channel retail pharmacies under the network external environment is studied to obtain higher profits; two-channel retail pharmacies prefer to choose profit maximization marketing strategy or market share maximization marketing strategy (Li and Huang, 2019). The game theory combined with Monte Carlo simulation modeling is used to analyze different retail marketing strategies, in particular, using payoff matrices for modeling the likely outcomes from different retail marketing strategies (Taylor et al, 2019).…”
Section: Game Theory and Marketingmentioning
confidence: 99%
“…[21] and [34] are similar to our study; all these studies employ evolutionary game theory to analyze OFD-related problems, while the two studies focus on food quality and food waste recycling, respectively. In addition, evolutionary game theory is employed in modeling various problems, e.g., retailer competition [35], resource management [36], and bid evaluations [37], [38]. All these studies contribute to our study.…”
Section: Literature Reviewmentioning
confidence: 99%
“…According to the previous study [49], [50], we can use numerical simulation to verify the feasibility of our model. In our model, we use the software MATLAB R2018b to do the simulation and set the initial parameters as follows: The resources invested by doctors and patients are i = 2 and j = 2; initial ratio of two types of strategies between doctors and patients is x 0 = y 0 = 0.5; we keep above parameters unchanged and keep other parameters changed: The information asymmetry coefficient of doctor and patient, the degree of trust of doctor and patient, the moral hazard coefficients of the doctor and patient.…”
Section: Numerical Simulation and Analysismentioning
confidence: 99%