스마트 팜 도입여건 변화가 농업인의 수용의사에 미치는 영향 연구 - 확장된 통합기술수용이론(UTAUT2)를 중심으로-
A Study on the Effects of Changes in Smart Farm Introduction Conditions on Willingness to Accept Agriculture -Application of Extended UTAUT Model-
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초록
The purpose of this study was to examine the intention of consumer acceptance of technology in agricultural production by applying the unified theory of acceptance and use of technology (UTAUT) to smart farm. In particular, this study analyzed the intention to accept the technology of agricultural students, farmers, start-up farmers, returning farmers, and returnees in the general manufacturing industry and high-tech industries, and in agricultural sectors corresponding to primary industries. The results showed that performance expectancy, social influence, facilitating conditions, IT development level, and reliability had a significant influence on the intention to use smart farm technology. However, effort expectancy and price value were rejected because no significant impact on use intention was tested. In addition, the influences of the variables showing their influence were reliability (β=.569)> IT development level (β=.252)> social influence (β=.235)> performance expectancy (β=.182)> facilitating conditions (β=.134).
Abstract
The purpose of this study was to examine the intention of consumer acceptance of technology in agricultural production by applying the unified theory of acceptance and use of technology (UTAUT) to smart farm. In particular, this study analyzed the intention to accept the technology of agricultural students, farmers, start-up farmers, returning farmers, and returnees in the general manufacturing industry and high-tech industries, and in agricultural sectors corresponding to primary industries. The results showed that performance expectancy, social influence, facilitating conditions, IT development level, and reliability had a significant influence on the intention to use smart farm technology. However, effort expectancy and price value were rejected because no significant impact on use intention was tested. In addition, the influences of the variables showing their influence were reliability (β=.569)> IT development level (β=.252)> social influence (β=.235)> performance expectancy (β=.182)> facilitating conditions (β=.134).
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