• Title/Summary/Keyword: Partial Least Square Structure Equation Modeling

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Structural Equation Modeling on Technology Acceptance for New Variety - Case of Forage Crop - (신품종 기술수용의 구조관계 분석 -사료작물 신품종 도입의향 -)

  • Choi, Jong-San;Park, Jae-Hyoung;Yoon, Jin-Woo;Chae, Yong-Woo
    • Journal of Agricultural Extension & Community Development
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    • v.25 no.1
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    • pp.1-13
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    • 2018
  • This study aims to identify factors affecting the acceptance intention of cultivating a new Italian ryegrass(IRG) variety using partial least square structural equation modeling(PLS-SEM) and find priority to maximize the acceptance intention of new IRG variety using importance-performance matrix analysis(IPMA). The data were collected on a seven-point Likert-type from 188 farm households located in Korea central region for two months. As a major result of PLS-SEM, expected effect significantly affected acceptance intention. The IPMA also showed expected effect should be considered as the most important factor to improve the acceptance intention. This study suggested the new technology distributors should scientifically prove and actively promote the effects such as increase in farm income, productivity improvement, labor saving and management efficiency caused by planting new IRG variety.

Factors Influencing Environmental Disclosure: A Case Study of Manufacturing Companies in Indonesia

  • FUADAH, Luk Luk;SAFTIANA, Yulia;KALSUM, Umi;ARISMAN, Anton
    • The Journal of Asian Finance, Economics and Business
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    • v.8 no.9
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    • pp.23-33
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    • 2021
  • The main objective of this research is to examine the effect of organizational culture, environmental uncertainty, and manager's personnel value on environmental disclosure through the environmental organizational structure of manufacturing companies on the Indonesia Stock Exchange. This research uses the structuration and contingency theory. The sample in this study focused on the level of heads or managers or directors of manufacturing companies listed on the Indonesia Stock Exchange. The research data was obtained through an online questionnaire distributed to heads or managers. The total sample of this study is 161 manufacturing companies. The data comprising of 64 respondents was completed and can be processed. Empirical testing used Structural Equation Modeling (SEM) through Partial Least Square (PLS). The result shows that environmental uncertainty and management personnel value have a positive effect on the environmental organizational structure, as well as the environmental organizational structure has a positive effect on the environmental disclosure. However, organizational culture has no effect on the environmental organizational structure. This research can provide benefits for manufacturing companies. The limitation include the low level of response from the respondents. Also the results cannot be generalized due to its specific focus on the manufacturing companies.

Analysis on Determinants of Acceptance Intention of New Agricultural Technology: Using Innovation Resistance Model (농업 신기술 도입의향에 대한 결정요인 분석: 혁신저항모델을 이용하여)

  • Kim, Woong;Kim, Hong-Ki;Yu, Young-Seok;Noh, Jaejong;Chae, Yong-Woo;Choi, Jong-San
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.20 no.2
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    • pp.190-199
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    • 2019
  • This study was conducted to expand the distribution of new technology efficiently by analyzing the structure relationship based on the innovation resistance model and partial least square structural equation model (PLS-SEM). This study selected innovative propensity, relative advantage, compatibility, complexity, trialability, risk, and extension service consisting of educational, technical, and funding services as factors affecting innovation resistance. This study constructed a questionnaire that measured 11 factors including acceptance intention of new technology using 33 indicators. Data was from April to October, 2017, targeting 180 farmers who did not join in projects to spread new technologies of the Rural Development Administration. Results showed the factors positively and significantly affecting innovation resistance include complexity and risk. Innovative propensity did not have any effect on innovation resistance. However, it positively affected acceptance intention of new technology. The service of the extension organizations had a negative effect on innovation resistance, but did not affect acceptance intention of new technology. This study suggests that extension services should promote activities such as education, consulting, publicity and pilot projects related with new technologies in order to minimize the antipathy toward new agricultural technologies.

An Empirical Study on the Effect of Logistics Firm's Innovation Activities on Business Performance (물류기업의 혁신활동이 경영성과에 미치는 영향에 관한 실증연구)

  • Cho, Yong-hyun
    • Journal of Korea Port Economic Association
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    • v.34 no.3
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    • pp.75-92
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    • 2018
  • The purpose of this study is to analyze whether innovation activities of logistics firms affect innovation performance and service quality improvement and whether innovation performance and service quality as a result of innovation activities affect these firm's business performance. First, I undertake a review of previous studies and theories related to innovation activity and innovation performance. Additionally, previous studies on improvement of service quality along through innovation performance were analyzed. Based on this, I set up a research structure and hypotheses. To this end, I used the workplace panel survey data of the Korea Labor Institute(KLI) and used a total of 88 samples. I use the Partial Least Square(PLS) approach to structural equation modeling. The results of the empirical analysis show that innovation activities of logistics firms have a positive effect on innovation performance and service quality improvement, and innovation performance and service quality have a positive effect on financial performance. Evidently, innovation activities bring a clear competitive advantage to the logistics firms and improve their service quality. This implies the ability of logistics firms to survive amidst competition while getting a competitive edge.