Technological advancements are transforming agriculture, yet adoption rates among agricultural extension officers, especially in regions like West Java, remain modest due to several challenges. This study applies the Technology Acceptance Model (TAM) to investigate factors influencing the adoption of agricultural technologies by agricultural extension officers in West Java. Specifically, we explore the role of socialization, training, access to technology, cost, perceived ease of use, and perceived usefulness in shaping behavioral intention and actual adoption. Data were collected from 295 agricultural extension officers via structured surveys and analyzed using SmartPLS 4 software. The findings indicate that socialization and training collectively enhance both perceived ease of use and perceived usefulness, while Technology Investment Worth specifically enhances perceived usefulness by emphasizing the value of the investment. Access to technology also plays a critical role in increasing ease of use perceptions. Both perceived ease of use and usefulness positively influence behavioral intention, which in turn is a strong predictor of actual adoption. The results provide valuable insights for policymakers aiming to increase technology uptake among agricultural extension officers, promoting sustainable agricultural practices through improved access, support, and cost reduction initiatives.
Over the last two decades, governance for global health has garnered more attention from policymakers, decision-makers, and scholars from several disciplines. The health sector has also become more dynamic and complicated as a result of several factors that have influenced organizational development. The issue of sustainability is clearly raised with specific emphasis and urgency in the context of the global healthcare system. Some countries have been altering their healthcare systems to improve healthcare performance. University hospitals as the main providers of high-quality healthcare services in China, have an irreplaceable role in promoting the construction of healthy China. This study strategic triangle as an analytical framework to identify the key factors that influence university hospital in China and better comprehend how public value is conceptualized and implemented in practice. The study was conducted by qualitative method, five university hospitals designated as “Grade A tertiary hospitals” and semi-structed interviews were carried out with 33 participants, including experts, university hospital leadership level, and basic level. The study revealed that there are eight (8) major factors influencing the development of university hospitals in China. University hospital administrators must be prepared to assess and respond to factors that enhance or hinder implementation continuously and methodically. These insights can be used to improve early preparedness, but additional study in this area is required to better understand the driving factors, action models, and techniques for achieving sustainable development in university hospitals.
Technology development in the agricultural sector is important in the development of Thailand’s economy. The purpose of this research was to study the approach of guidelines for future agricultural technology development to increase productivity in the Agricultural sector in order to develop a structural equation model. The research applied mixed-methodology. Qualitative research by in depth interview from 9 experts and focus group with 11 successful businesspersons for approve this model. The quantitative data gather from firm, in the 500 of agricultural sector by using questionnaire, using statistical tests of descriptive analysis, inferential analysis, and multivariate analysis. The research found guidelines for future agricultural technology development to increase productivity in the Agricultural sector composed of 4 latent. The most important item of each latent were as following: 1) Agrobiology Technology (= 4.41), in important item as choose seeds that for disease resistance and tolerate the environment to suit the cultivation area, 2) Environmental Assessment (= 4.37),, in important item as survey of cultivated areas according to topography with geographic information system, 3) Agricultural Innovation (= 4.30), in important item as technology reduces operational procedures, reduce the workforce and can reduce operating costs, and 4) Modern Management Systems (= 4.13), in important item as grouping and manage as a cooperative to mega farms. In addition, the hypothesis test found that the difference in manufacturing firm sizes. Medium and Small size and large size revealed overall aspects that were significantly different at the level of 0.05. The analysis of the developed structural equation model found that there was in accordance and fit with the empirical data and passed the evaluation criteria. Its Chi-square probability level, relative Chi-square, the goodness of fit index, and root mean square error of approximation were 0.062, 1.165, 0.961, and 0.018, respectively.
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