| Title |
How Can E-Commerce Businesses Implement Discount Strategies through Social Media? |
| ID_Doc |
70274 |
| Authors |
Lv, JJ; Wang, ZC; Huang, YQ; Wang, T; Wang, YZ |
| Title |
How Can E-Commerce Businesses Implement Discount Strategies through Social Media? |
| Year |
2020 |
| Published |
Sustainability, 12, 18 |
| DOI |
10.3390/su12187459 |
| Abstract |
In the context of the global economic downturn caused by COVID-19, e-commerce has become the first choice for people to shop. Many merchants choose to launch promotion activities through some social media platforms. Price discounts can dramatically increase sales volume in social e-commerce due to the interaction of online consumers. It is urgent for e-commerce merchants to learn rules about discount information dissemination in social media, so as to formulate reasonable discount strategies and achieve sustainable business. This paper constructs an evolutionary game model for e-commerce platforms and merchants when they implement promotion strategies through social media, investigates discount information dissemination among consumers under multiple situations by introducing price discount parameters, and further discusses the influence mechanism of discount size and platform reputation on consumers' purchase behavior. Results show that in low-reputation e-commerce platforms, the price discount is the main motivation to purchase. Consumers' preference for the high discount is weakened by the increase in platforms' reputation. Discounts should be set according to the different reputations. Businesses in a high-reputation environment are relatively more profitable. E-commerce businesses should work together, apply reasonable pricing, and improve their quality to create a green and healthy shopping environment, in order to get benefits and sustainable development. |
| Author Keywords |
purchase behavior; information dissemination; evolutionary game; behavior modeling; price discount; social e-commerce; e-commerce reputation |
| Index Keywords |
Index Keywords |
| Document Type |
Other |
| Open Access |
Open Access |
| Source |
Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI) |
| EID |
WOS:000584266600001 |
| WoS Category |
Green & Sustainable Science & Technology; Environmental Sciences; Environmental Studies |
| Research Area |
Science & Technology - Other Topics; Environmental Sciences & Ecology |
| PDF |
https://www.mdpi.com/2071-1050/12/18/7459/pdf?version=1599738487
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