


Volume 20 No 10 (2022)
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A comprehensive study on online purchase behavior of agricultural products of Vietnamese consumers through O2O E-commerce - Big Data Technology in O2O E-Commerce logistics business management
NhoQuyetTrana, TongGuangJia , Nguyen Hoang Tien
Abstract
Online shopping has soon become a daily habit of Vietnamese people who are familiar with local specialty
agricultural products, packages of rural areas traveling, and field trips. It is highly necessary to have a suitable
E-commerce model which creates a modern business channel to develop the rural economy and fulfill the
dream of Tam Nong policy in the new era. In this research, we carry on a comprehensive studying of the online
purchase behavior of agricultural products to define the rural E-commerce model based on the O2O ones
combining key factors such as agricultural specialties and local educational experience services in Vietnam.
Our analysis has been implemented by investigating 700 households all over Vietnam and we have received
439 responses and 366 qualified ones are encoded, analyzed and hypothesis verified. These collected data
have been analyzed by SPSS 25 and AMOS 24. Structural equation modeling (SEM) is used to examine the
correspondence of the model and hypothesis verification. The result showed that the online purchase
intention through the O2O E-commerce model is affected by the awareness of the product's usefulness,
customer's attitude as well as the habit and beliefs on using high-quality agricultural products and good
logistics services. Moreover, the result also indicated that the added service – local educational experience
(derived from agricultural specialties’ supply source) has risen the Vietnamese's belief and logistics
management also help to promote customer trust, therefore researching solutions to apply big data
technology can help reduce distribution costs, improve efficiency, enhance the competitiveness and service
quality of O2O rural e-commerce logistics management.
Keywords
rural O2O E-commerce, educational experience, behavior, intention, belief, big data.
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