|Table of Contents|

Research on the Distribution Mode of Fresh Agricultural Products in Beijing′s Communities Under the Background of Post-epidemic

《北方园艺》[ISSN:1001-0009/CN:23-1247/S]

Issue:
2021年22
Page:
142-149
Research Field:
Publishing date:

Info

Title:
Research on the Distribution Mode of Fresh Agricultural Products in Beijing′s Communities Under the Background of Post-epidemic
Author(s):
LI Lei; GUI Lin
(School of Economics and Management,Beijing University of Agriculture,Beijing 102206)
Keywords:
community distribution after the epidemic; fresh agricultural products; TAM-VAM; structural equation model
PACS:
-
DOI:
10.11937/bfyy.20212159
Abstract:
The outbreak of COVID-19 at the end of 2020 not only caused great trouble to the lives of residents,but also activated the development of a series of ‘online new economic business models’,how to promote the development of community fresh food distribution models in the post-epidemic era.It has practical significance for the development of serving the people of the capital,improving the efficiency of enterprise distribution,and building a community digital distribution model.Therefore,combining technology acceptance model (TAM) and value acceptance model (VAM),the two variables of distribution service trust and perceived distribution risk are introduced to construct a structural equation model of community fresh agricultural product distribution choice willingness,and 215 Beijing community residents an empirical analysis is made on the willingness to choose fresh food distribution and its influencing factors.The results showed that perceived service quality and perceived distribution risk are the core factors for community residents to choose adistribution model;perceived distribution risk adversely affects the willingness to choose a distribution model,and perceived characteristics adversely affect perceived risk,thereby increasing consumers′ willingness to choose,and perceived service trust is positive willingness to deliver to the affected communities.

References:

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Last Update: 2022-02-21