Agricultural productivity has remained central to the gross domestic product (GDP) in Nigeria for several decades. However, the decline in the agricultural sector after the discovery of oil and gas resources is a serious challenge. The government has initiated several policies to rejuvenate agricultural productivity. Little attention has been given to the exploration of policy implementation for fish farming and aquaculture as an integral part of agribusiness in the country. The World Bank asserts that the yearly demand for fish is 3.4 million metric tons (i.e., 40%) is locally produced and the remaining 60% is supplied through importation of fish. Therefore, the primary objective of this paper is to re-assess policy implementation to explore and expand the potential of fish farming in Nigeria to address abject poverty and high unemployment rates. This can be achieved when a shift of attention is given to small- and medium-scale businesses, and consequentially achieve sustainable agribusiness and socio-economic development in the country. This study used library-based research and content analysis as its methodology, wherein secondary data were used to review different aspects that can foster fish farming in the country. The findings from the content analysis of the study demonstrated that in order to achieve domestic production and stop the importation of fish, there is a need for the establishment of nothing less than 400,000 fish farming across the country. The paper highlighted various types and techniques for breeding, rearing, and harvesting fish by strengthening their effectiveness and efficiency. This study emphasized the vital importance of technology, such as reliable energy facilities, solar energy, and solar irrigation, in reducing the cost of diesel in powering generators to maximize fish investment. The limitations of this study are highlighted, and SWOT analysis (i.e., strengths, weaknesses, opportunities, and threats) in fish farming is elaborated. It is suggested that the implementation of policies to support farmers in general and fish farmers in particular, such as the provision of credit loans and other fish feeds for sustainable agribusiness and socio-economic development, occupies a central climax of this research.

The mining industry significantly impacts the three pillars of sustainable development: the economy, the environment, and society. Therefore, it is essential to incorporate sustainability principles into operational practices. Organizations can accomplish this through knowledge management activities and diverse knowledge resources. A study of 300 employees from two of the largest mining corporations in South Kalimantan, Indonesia, found that four out of five elements of knowledge management—green knowledge acquisition, green knowledge storage, green knowledge application, and green knowledge creation—have a direct impact on the sustainability of businesses. The calculation was determined using Structural Equation Modelling (SEM). However, the study also found that the influence of collectivist cultural norms inhibits the direct effect of green knowledge sharing on corporate sustainable development. The finding suggests that companies operating in collectivist cultures may need to take additional measures to encourage knowledge sharing, such as rewarding employees for sharing their expertise on green initiatives, supportive organizational culture, clear expectations, and opportunities for social interaction.

With the gradual penetration of artificial intelligence technology into various fields of society, it has brought many deeper and broader impacts, gradually improving the status of artificial intelligence in talent cultivation and education to adapt to the current development of social intelligence technology. Therefore, as the core course of artificial intelligence education in universities, machine learning needs to deeply analyze and explore the main factors that affect its development, in order to better mobilize students' learning enthusiasm and teachers' educational innovation, enhance the teaching and learning effectiveness of the course, and maximize the exploration of the educational achievements of artificial intelligence.

Purpose: This study empirically investigates the effect of big data analytics (BDA) on project success (PS). Additionally, in this study, the investigation includes an examination of how intellectual capital (IC) and (KS) act as mediators in the correlation between BDA and KS. Lastly, a connection between entrepreneurial leadership (EL) and BDA is also explored. Design/Methodology- Using a sample of 422 senior-level employees from the IT sector in Peru. The partial least squares structural equation modeling technique tested the hypothesized relationships. Findings- According to the findings, the relationship between BDA and PS is mediated by structural capital (SC) and relational capital (RC), and BDA demonstrates a positive and noteworthy correlation with PS. Furthermore, EL is positively associated with BDA in a significant manner. Practical implications- The finding of this study reinforce the corporate experience of BDA and suggest how senior levels of the IT sector can promote SC, RC, and EL. Originality/Value- This study is one of the first to consider big data analytics as an important antecedent of project success. With little or no research on the interrelationship of big data analytics, intellectual capital and knowledge sharing the study contributes by investigating the mediating role of intellectual capital and knowledge sharing on the relationship between big data analytics and project success.

Primary school students are in a period of rapid development of thinking. Primary school mathematics is particularly important for the cultivation of students' abstract thinking ability. The section of number and algebra is the most basic and important content in mathematics. This paper takes number and algebra as an example to analyze the abstract thinking ability of primary school mathematics and its training strategies, so as to provide some practical guidance for teaching.

As an important part of modern higher education, this topic mainly studies the construction of innovative teachers' team in local applied colleges and universities. After analyzing the problem, we found that there are many problems in the construction of innovative teachers in local applied colleges and universities, such as the lack of effective cultivation mechanism and the lack of corresponding incentives. Therefore, this paper aims to put forward some suggestions on how to establish innovative teachers' team, in order to provide a reference basis for the development of innovative teachers' team in local applied colleges and universities.