A model of the influence of agricultural customer perceived value
by Donghui Li; Guozheng Zhang; Fang Wang; Li Peng; Yongdong Shi
International Journal of Computing Science and Mathematics (IJCSM), Vol. 19, No. 3, 2024

Abstract: The customer perceived value (CPV) of agricultural products may differ dramatically from that of other items due to the superior quality and safety attributes of agricultural products. This research proposes a model of agricultural customer perceived value (ACPV) based on the quality and safety attributes of agricultural goods. The model consists of five dimensions: function value, economic value, result level, safety value, environmentally friendly value, and emotional value. This research uses a questionnaire survey and random sampling to investigate the influence that each of the five dimensions has on purchasing intention. After that, structural equation modelling is utilised in order to conduct an investigation into the relationship that exists between the various dimensions and purchase intent. Following the dimension of safety value as the factor that has the most significant positive influence on the purchase intent is the dimension of functional value, followed by the dimensions of economic value, social value, and emotional value.

Online publication date: Fri, 05-Apr-2024

The full text of this article is only available to individual subscribers or to users at subscribing institutions.

 
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.

Pay per view:
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.

Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Computing Science and Mathematics (IJCSM):
Login with your Inderscience username and password:

Username:        Password:          Forgotten your password?

Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.

If you still need assistance, please email subs@inderscience.com