This article aims to analyze the form of promotion and its policies in increasing tourists in Indonesia. Ecotourism is one of the nation’s vital sectors that can improve the economy, preserve nature and introduce local culture. Sadly, today, ecotourism has yet to be discovered by the public, which cumulatively causes much damage. Therefore, The Ministry of Tourism and Creative Economy is tasked with educating the public in order to create a collaborative synergy. This article uses qualitative research with a phenomenological approach. The primary data sources in this study are Twitter netizens’ tweets and The Ministry of Tourism and Creative Economy ‘s social media accounts. At the same time, the secondary data used in this study are articles, books, and reportage. Then the data will be analyzed through several procedures, namely, 1) data matrix, 2) data reduction, 3) coding, and 4) conclusion drawing. The results showed that the messages conveyed by The Ministry of Tourism and Creative Economy regarding ecotourism were good, and the intensity was relatively high. Public conversations about ecotourism have also been substantive in accordance with ideal ecotourism. Unfortunately, the intensity of The Ministry of Tourism and Creative Economy ‘s message is not accompanied by the intensity of ecotourism conversations in the community. However, the Ministry of Tourism and Creative Economy has issued a communication policy in promoting ecotourism in Indonesia. This aims to benefit the wider community, such as community productivity, economic improvement, and the introduction of local culture to the international community.

The golden visa is a regulation designed to facilitate foreign nationals through a residence permit scheme with an emphasis on investment and citizenship. This research aims to look at the development of the golden visa as an innovation policy, and find out how its implications for the flow of foreign investment into Indonesia. This research uses online research methods (ORM) to discover new facts, information and conditions through technology and internet searches. The aspects used to conduct analysis in this descriptive qualitative research are using innovation policy instruments which include regulatory, economic, financial, and soft instruments. The research findings show that the golden visa as an innovation policy has great potential to support national development through investment in priority sectors. However, its implementation needs to be done carefully with strict supervision and inclusive regulations so as to mitigate risks such as money laundering and property price inflation. That way, golden visas can encourage sustainable and inclusive economic growth through the smooth flow of incoming foreign investment.

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.

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.

Arabic rhetoric has traditionally relied on ancient texts and human interpretation for teaching purposes. The study investigates ChatGPT’s ability to analyze and interpret Arabic rhetorical devices, specifically examining its capacity to handle cultural and contextual elements in rhetorical analysis. Drawing on institutional implementation frameworks and recent educational technology research, this study examines policy considerations for Arabic rhetoric education in an AI-driven environment, with a particular focus on sustainable digital infrastructure development and systematic reforms needed to support AI integration. The study employed the comparative approach to analyze eight rhetorical examples, including metaphors (“Zaid is a lion”), similes (“Someone is a sea”), and metonymy (“A person full of ash”), then compare ChatGPT’s interpretations with traditional explanations from classical Arabic rhetoric texts, particularly “Dala’il al-I’jaaz” by al-Jurjani. The results demonstrate that ChatGPT can provide basic interpretations of simple rhetorical devices, but it struggles with understanding cultural contexts and multiple layers of meaning inherent in Arabic rhetoric. The findings indicate that AI tools, despite their potential for modernizing rhetoric education, currently serve best as supplementary teaching aids rather than replacements for traditional interpretative methods in Arabic rhetoric instruction.