Quality supervision mechanisms on green product for online retailing in the blockchain technology era
Hong Wang, Yuheng Xu
TL;DR
This paper explores how blockchain and dynamic penalties can help online platforms ensure the quality of green products and reduce fake items.
Contribution
The study introduces a supervision game model integrating blockchain and dynamic punishment to improve green product quality in online retail.
Findings
Consumer green awareness and compensation are critical for effective platform punishment mechanisms.
Combining blockchain and dynamic punishment improves green product quality rapidly.
Higher consumer green awareness encourages sellers to offer genuine green products.
Abstract
With the development of e-commerce and the increase of consumers’ green consciousness, more and more consumers purchase green products online. The frequent occurrence of the fake green product in online shopping has been harmful to the management and operation of the online market. In order to find the ways for the platform to supervise effectively green products quality problems, we consider the role of blockchain technology, the dynamic penalty mechanisms, the three strategy choices of seller, and the green awareness of consumers, and establish a supervision game model with the participation of online platform, online seller and consumer, which analyzes the equilibrium state of the three parties. The results show that (1) the level of the consumers’ green awareness, the compensation for green consumers, and the cost saved by non-green products are the critical factors to ensure the…
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Taxonomy
TopicsConsumer Retail Behavior Studies · SMEs Development and Digital Marketing · Halal products and consumer behavior