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2024 Vol.26, Issue 3 Preview Page

Research article

December 2024. pp. 154-166
Abstract
References
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Moon, S.M., 2019. The influence of service quality and social influence of AI speakers on usage intentions: focused on the Extended Technology Acceptance Model (ETAM). Master's thesis, graduate school of advertising and public relations, Hongik University.

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Moon, J.Y., Kim, H.S., 2021. A study on the relationships among self-efficacy, social support factors, major engagement, and academic continuance intentions of international students. Journal of the Korean Data Analysis Society, 23(1), Korean Data Analysis Society, 253-267.

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Jung, H.O., 2018. Exploration of structural relationships between variables affecting adult learners' MOOC participation intentions: focusing on social atmosphere, self-efficacy, expectancy confirmation, task-technology fit, and satisfaction. Lifelong Learning Society, 14(4), 203-229.

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Ju, Y.J., Yoo, H.Y., Lim, Y.J., 2016. Exploring the structural relationships between learners' technological readiness, perceived usefulness, ease of use, enjoyment, and usage intentions in E-learning. Educational Science Research, 47(2), 53-72.

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Table 2 Source: 2022 e-Nara Indicators [Ministry of Environment, "Livestock Manure Treatment Statistics"]

Information
  • Publisher :The Korean Society of Animal Environmental Science & Technology
  • Publisher(Ko) :(사)한국축산환경학회
  • Journal Title :Journal of Animal Environmental Science
  • Journal Title(Ko) :축산시설환경학회지
  • Volume : 26
  • No :3
  • Pages :154-166
  • Received Date : 2024-12-06
  • Revised Date : 2024-12-26
  • Accepted Date : 2024-12-27