Abstract
With the continuous development of agricultural product e-commerce platforms and the rapid growth of trading volume, conducting in-depth mining and analysis of online review data to improve consumer satisfaction is of considerable importance. This paper uses JingDong’s self-run online reviews of rice agricultural products as the research object and analyzes the logistics factors that affect consumer satisfaction through text mining technology. A multi-objective model for logistics center distribution path optimization under a soft time window was constructed. The model used the results of online review analysis, namely, packaging integrity, delivery timeliness, and logistics cost, as the goals, and the model used ant colony algorithm (ACO) and genetic algorithm (GA) to solve the optimal distribution solution to minimize the penalty cost and transportation cost. Through examples to solve the optimal distribution vehicle number and shipping routes, in addition, a comparison of the two types of algorithm performance of the model under different node number indicated that the number of nodes affects algorithm performance. With a node number below 50, the ant ACO has high precision and a better distribution path. With a node number above 50, GA has more comprehensive performance. The average efficiency of the GA is 12.28% higher than that of ACO.
Highlights
The single yield of rice in China has increased annually in recent years, precluding the completion of rapid sales of rice agricultural products during the preservation period by relying on traditional offline transactions
The results showed that trust is the biggest dimension that affects consumer satisfaction [1], indicating that if e-commerce fails to take consumers’ wishes into full consideration, it will not be trusted by consumers
On the basis of text mining analysis of 25,000 online reviews of rice e-commerce on JingDong (JD.com, JD), this paper concluded that the four factors of package integrity, delivery timeliness, door-todoor delivery, and service responsiveness were the logistics factors that most affected consumer satisfaction
Summary
The single yield of rice in China has increased annually in recent years, precluding the completion of rapid sales of rice agricultural products during the preservation period by relying on traditional offline transactions. On the basis of text mining analysis of 25,000 online reviews of rice e-commerce on JingDong (JD.com, JD), this paper concluded that the four factors of package integrity, delivery timeliness, door-todoor delivery, and service responsiveness were the logistics factors that most affected consumer satisfaction.
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