|Table of Contents|

An Empirical Study on the Influencing Factors of Farmers′ Information Technology Acceptance Behavior in Greenhouse Production Based on TAM

《北方园艺》[ISSN:1001-0009/CN:23-1247/S]

Issue:
2019年24
Page:
136-145
Research Field:
Publishing date:

Info

Title:
An Empirical Study on the Influencing Factors of Farmers′ Information Technology Acceptance Behavior in Greenhouse Production Based on TAM
Author(s):
FENG Xian1; 2; 3; 4; LI Jin1; 2; 3; 4
(1.Beijing Research Center for Information Technology in Agriculture,Beijing 100097;2.National Engineering Research Center for Information Technology in Agriculture,Beijing 100097;3.Key Laboratory of Agri-informatics,Ministry of Agriculture and Rural Affairs,Beijing 100097;4.Beijing Engineering Research Center of Agricultural Internet of Things,Beijing 100097)
Keywords:
greenhouse production; information technology; acceptance behavior; technology acceptance model; structural equation model
PACS:
-
DOI:
10.11937/bfyy.20190681
Abstract:
Based on 414 farmers′ survey data in Beijing-Tianjin-Hebei region,combing the technology acceptance model,structural equation model was used to analyze the influencing factors on farmers′ information technology (IT) acceptance in greenhouse vegetable production.Results showed that,the usage attitude,subjective norm,perceived behavioral control,perceived ease of use and perceived usefulness would positive influence the usage intentions of IT while perceived risk negative influence the usage intentions of perceived usefulness which could positive influence the usage attitude of IT;usage attitude had intervening effect to the influence on farmers′ IT usage intentions of perceived ease of use and perceived usefulness,while perceived usefulness had intervening effect to the influence on farmers′ IT usage intentions of perceived risk;with the increase of income and level of education,or the farmers′ become younger,the significant positive influence on IT usage intentions of usage attitude,perceived ease of use and perceived usefulness would strengthen while the negative influence on IT usage intentions of perceived risk would weaken.

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Last Update: 2019-12-31