Predicting big data analytics adoption intention among small and medium enterprises in the Philippines

Factors influencing blockchain adoption intention in Philippine small and medium enterprises

This study focuses on the impact mechanism of innovation and entrepreneurship education in higher education institutions on students' innovative thinking. The aim is to address current issues in education, such as the disconnect between curricula and industry needs and the insufficient cultivation of innovative thinking skills. By establishing an "input - transformation - output" framework, this research explores the pathways of action and the moderating effects of core elements. An empirical approach is employed in this study. With 550 questionnaires collected from college students as the sample, analytical tools such as structural equation modeling are utilized to test the hypotheses. The findings indicate that the curriculum system positively influences the fluency and flexibility of thinking through knowledge integration. Practical activities enhance the originality of thinking via metacognitive development, and campus culture strengthens the criticality of thinking by motivating students. Specifically, the professional background moderates the relationship between knowledge integration and thinking flexibility, with a more pronounced effect observed in science and engineering majors compared to liberal arts and history majors. Moreover, personality openness moderates the relationship between motivation arousal and thinking criticality, with a more significant effect among individuals with higher levels of openness. This research reveals the specific impact mechanisms, offering a practical paradigm for refining innovation and entrepreneurship education theories and cultivating innovative talents.

Artificial Intelligence of Things (AIoT) plays a crucial role in promoting sustainable farming and enhancing productivity. This emerging technology is increasingly adopted in developed countries; however, it remains under investigation in developing nations due to its novelty, contextual challenges, and support factors. Consequently, the adoption rate among farmers with small holdings is relatively low. This study addresses this research gap by developing an extended framework based on the Unified Theory of Acceptance and Use of Technology (UTAUT), incorporating perceived gains and sustainability factors to provide a comprehensive understanding of farmers' adoption intentions. The analysis employs measurement and structural models using Partial Least Squares Structural Equation Modeling (PLS-SEM). Results indicate that performance expectancy, effort expectancy, social influence, trust, and government support significantly influence the intention to adopt AIoT. Conversely, facilitating conditions and price value were found to be insignificant. Moreover, perceived gains and sustainability-related factors exert the most substantial impact on the intention to use AIoT among small farm holders, suggesting that these farmers have a positive attitude towards adopting AIoT for smart and sustainable agricultural practices, particularly in the Philippines.

This paper draws on the theory of the monetary economic cycle and the theory of the real economic cycle, constructs a theoretical model of economic fluctuations in resource-based regions that takes price levels and technological progress into consideration, analyzes the mechanism of the effect of price levels and technological progress on economic fluctuations in resource-based regions, and derives the key equation of the effect of the two on economic fluctuations. Then, taking Shanxi data as an example, the key equation is verified, and the Shanxi economy is analyzed through two econometric model methods, namely the time series threshold regression model and the Zou test, in two cases of static expectations and rational expectations. The necessity and path of the government's active regulation of economic transformation are proposed.