This research aims to solve the research problems regarding the most important value of an object in the form of the wedangan phenomenon. This research objectives to expose the superiority of the communities’ food consumption tradition in the form of wedangan. This research belongs to a qualitative study and uses ethnomethodology as an initial approach. It is because the initial data findings are in the form of an indexical conversation that explicitly refers to the concept of wedangan. The concept refers to wedangan in real life, which is in the form of eating and drinking activities while chatting. The research findings are: 1) the most profound structure of wedangan’s tradition is food provision and food eating; 2) wedangan accommodates three forms (food stall, street food, and restaurant); 3) wedangan also accommodates three food values (delightful, useful, and meritorious); and 4) there is an egalitarian consumption pattern in wedangan, people regardless their social class visiting the same place, eat the same food, being simple and be ordinary (or usually we call it as food marriage). Wedangan is a social activity with advantages from a social, economic, and political perspective. Therefore, this phenomenon requires more serious attention from the government.

The purpose of this study is to explore factors influencing the blockchain adoption in agricultural supply chains, to make a particular focus on how security and privacy considerations, policy support, and management support impact the blockchain adoption intention. it further investigates perceived usefulness as a mediating variable that potentially amplifies the effects of these factors on blockchain adoption intention, and sets perceived cost as a moderating variable to test its influence on the strength and direction of the relationship between perceived usefulness and adoption intention. through embedding the cost-benefit theory into the integrated tam-toe framework and utilizing the partial least squares structural equation modeling (PLS-SEM) method, this study identifies the pivotal factors that drive or impede blockchain adoption in the agricultural supply chains, which fills the gap of the relatively insufficient research on the blockchain adoption in agriculture field. the results further provide empirical evidence and strategic insights that can guide practical implementations, to equip stakeholders or practitioners with the necessary knowledge to navigate the complexities of integrating cutting-edge technologies into traditional agricultural operations, thereby promoting more efficient, transparent, and resilient agricultural supply chains.

The study aims to explain the relationship between the effectiveness of a business and its management through the analysis of working capital. The findings prove the complementary relationship. The analysis of working capital will always have a significant impact on the effectiveness of business management. The main objective of any corporation is to be effective in business, which can be achieved by analyzing the working capital. The result shows that analysis of working capital based on factors like operational efficiency, the company’s earnings and profitability, cash management, corporate receivable management, and corporate inventory management creates room for improvement and effectiveness in business management. Firms might enhance finances for business expansion by lowering their working capital requirements. It has also been revealed that there is a considerable difference in industries across time. It was observed that there is a high association between working capital efficiency and firm profitability. A highly efficient corporation is less vulnerable to liquidity risk and is also self-sufficient in terms of external finance. Numerous studies have been done to regulate the true rapport between working capital investments and their impact on financial presentation. It demonstrates that effective investment in working capital management may boost profitability and business value. The relationship between accounting and finance was explained by measuring working capital management in demand to illustrate the status of profitability. It was suggested that accountants take a more professional approach to updating their accounting and finance skills in their organization through effective working capital management.

Perceptions of women’s roles and leadership in urban governance vary from country to country and culture to culture. While women are represented and participate fully in political decision-making in some countries, in Togo women’s participation in local governance is still limited. The aim of this research is to analyse perceptions of women’s leadership in urban governance in the communes of greater Lomé. Specifically, the study of the influence of general perceptions of the role of women on the development of their leadership in the urban governance of greater Lomé (i) and the implications of these perceptions on the participation of women in the urban governance of greater Lomé (ii). Semi-structured interviews were conducted in all the town halls of the thirteen greater Lomé autonomous district communes with 222 women and 162 men, i.e., a total of 384 people. The corpus created from the interviews, which were transcribed in their entirety, was analyzed using the theory of social dominance developed by Sidanius and Pratto to explain power relations and inequalities between social groups. The results show that perceptions of women’s participation in urban governance vary and are generally associated with several significant implications. The general perception is that women are not as competent or legitimate as men in political and administrative leadership roles. However, there is a growing recognition of the value of gender diversity in urban governance, with a growing awareness of the importance of including women in decision-making processes. From the point of view of the significant implications of perceptions, positive perceptions favor increased representation of women, innovation, and creativity, strengthening legitimacy, reducing inequalities, and presenting women as positive role models in urban governance.

In order to explore how hygiene factors and motivational factors indirectly affect job satisfaction through teacher self-efficacy. Based on the two factor theory and Teacher Job Satisfaction Survey (TJS), this study analyzes how hygiene factors and motivational factors indirectly affect job satisfaction through teacher self-efficacy. The study collects valid questionnaires from 120 teachers and conducts mediation analysis using structural equation modeling. From the results, teacher self-efficacy had obvious mediating effects between hygiene factors and job satisfaction (β > 0.6, P < 0.001), as well as between motivational factors and job satisfaction (β > 0.6, P < 0.001). This discovery not only provides new perspectives and strategies for improving teacher job satisfaction, but also emphasizes the importance of enhancing teacher self-efficacy in improving job satisfaction. In addition, the study provides strong empirical evidence for education management departments and school leaders to formulate more effective teacher development policies and management measures, which has positive theoretical and practical significance for improving education quality and promoting education reform.

In today’s fast-paced digital world, generative AI, especially OpenAI’s ChatGPT, has become a game-changing technology with significant effects on education. This study examines public sentiment and discourse surrounding ChatGPT’s role in higher education, as reflected on social media platform X (formerly Twitter). Employing a mixed-methods approach, we conducted a thematic analysis using Leximancer and Voyant Tools and sentiment analysis with SentiStrength on a dataset of 18,763 tweets, subsequently narrowed to 5655 through cleaning and preprocessing. Our findings identified five primary themes: Authenticity, Integrity, Creativity, Productivity, and Research. The sentiment analysis revealed that 46.6% of the tweets expressed positive sentiment, 38.5% were neutral, and 14.8% were negative. The results highlight a general openness to integrating AI in educational contexts, tempered by concerns about academic integrity and ethical considerations. This study underscores the need for ongoing dialogue and ethical frameworks to responsibly navigate AI’s incorporation into education. The insights gained provide a foundation for future research and policy-making, aiming to enhance learning outcomes while safeguarding academic values. Limitations include the focus on English-language tweets, suggesting future research should encompass a broader linguistic and platform scope to capture diverse global perspectives.