This research aims to investigate how technological innovation influences social sustainability via the mediating role of organizational innovation and digital entrepreneurship. This investigation employed a quantitative research approach and used data from survey questionnaires based on a set of suppositions evaluated using structural equation modeling. A total of 320 respondent companies from digital provider companies in Thailand. The findings of the research expose that technological innovation has a positive effect on organizational innovation and digital entrepreneurship. Both serve as mediators in the correlation between technology innovation and social sustainability. Moreover, this research will be beneficial for businesses that are implementing new technologies and innovation, considering their role in attaining both environmental and social sustainability.

This study investigates the application and effectiveness of modern teaching techniques in improving reading literacy among elementary school students in Kazakhstan. In the rapidly evolving educational landscape, the integration of innovative pedagogical strategies is essential to foster student reading skills and general literacy. This study aims to explore how these modern teaching techniques can be applied to improve reading literacy among elementary school students in Kazakhstan. The study sample includes 64 respondents to the research. The key modern teaching techniques explored in this study include the use of digital learning tools, interactive reading sessions, differentiated instruction, and collaborative learning activities. The findings reveal significant improvements in reading literacy among students exposed to these techniques, highlighting the potential of modern pedagogy to bridge literacy gaps and promote educational equity. Furthermore, the study discusses the challenges and opportunities to implement these techniques within the Kazakhstani educational system. The results provide valuable information for educators, policymakers, and stakeholders aiming to improve reading literacy through innovative teaching practices.

This study aims to determine the extent of gender inequality in human resource development in Indonesia against Association of South East Asian Nations (ASEAN). This research using secondary data from various relevant sources. There are five dimensions that and are important for measuring gender equality, namely economic participation, economic opportunities, political empowerment, educational attainment, and health and welfare. The assessment was carried out on Indonesia and other countries in Southeast Asia. The results of the study show that Indonesia has the lowest gender development index (GDI) score compared to the average in ASEAN. Then, gender empowerment measure (GEM) Indonesia increased slowly. The most striking gap is in the income dimension, where men’s income far exceeds women’s income. This happens because women work less than men because women are more traditional in domestic roles in Indonesia, where women are prioritized in managing the household. However, for political indicators, there has been an increase in the number of women in parliament, but the target has not yet reached 30 percent of the total number of women in parliament. This situation shows that there is a reduction in the gender gap in the economy and politics. But the number is still too small, it is necessary to increase the equally distributed equivalent percentage (EDEP) for the Economic Participation Index, Parliamentary Representation Index and Income Index.

Urban regeneration and gentrification are complex, interconnected processes that significantly shape cities. However, these phenomena in the Middle East and North Africa (MENA) region are often understudied and typically viewed through a Western lens. This systematic review of literature from 2010 to 2024 addresses this gap by synthesizing a comprehensive framework for understanding urban regeneration-led gentrification in MENA countries. The review delves into key themes: Gentrification contexts, the regeneration process, gentrification accelerators, and the aftermath of gentrification. It explores the diverse motives behind urban regeneration, identifies key stakeholders, and analyzes catalysts of gentrification. Findings reveal that informal areas and deteriorated heritage sites in major cities are most susceptible to gentrification. The study also highlights the critical issue of insufficient community participation and proposes a participation evaluation framework. The unique socioeconomic and political factors driving gentrification in the MENA region underscore the necessity of context-specific approaches, facilitating the identification of regional similarities and differences. Conclusively, the review asserts that gentrification is a cyclic process, necessitating core interventions through enhanced regeneration strategies or displacement plans to mitigate its effects.

The introduction of artificial intelligence (AI) marks the beginning of a revolutionary period for the global economic environments, particularly in the developing economies of Africa. This concept paper explores the various ways in which AI can stimulate economic growth and innovation in developing markets, despite the challenges they face. By examining examples like VetAfrica, we investigate how AI-powered applications are transforming conventional business models and improving access to financial resources. This highlights the potential of AI in overcoming obstacles such as inefficient procedures and restricted availability of capital. Although AI shows potential, its implementation in these areas faces obstacles such as insufficient digital infrastructure, limited data availability, and a lack of necessary skills. There is a strong focus on the need for a balanced integration of AI, which involves aligning technological progress with ethical considerations and economic inclusivity. This paper focuses on clarifying the capabilities of AI in addressing economic disparities, improving productivity, and promoting sustainable development. It also aims to address the challenges associated with digital infrastructure, regulatory frameworks, and workforce transformation. The methodology involves a comprehensive review of relevant theories, literature, and policy documents, complemented by comparative analysis across South Africa, Nigeria, and Mauritius to illustrate transformative strategies in AI adoption. We propose strategic recommendations to effectively and ethically utilize the potential of AI, by advocating for substantial investments in digital infrastructure, education, and legal frameworks. This will enable Africa to fully benefit from the transformative impact of AI on its economic landscape. This discourse seeks to offer valuable insights for policymakers, entrepreneurs, and investors, emphasizing innovative AI applications for business growth and financing, thereby promoting economic empowerment in developing economies.

This paper explores how compassion can be defined as a transformative moral technology through analysis of Martha Nussbaum’s idea. Nussbaum contends that compassion goes beyond just feeling pain for others’ suffering; it also involves acknowledging the severity of suffering, understanding that it is not solely the victim’s fault, and recognizing the suffering individual as one of our most important goals and projects. Through a literature review that considers reductive explanations, we establish that compassion encompasses cognitive, affective, and conative capacities that are crucial for moral reasoning, knowledge, and judgment, all stemming from the experience of human suffering. These capacities of cognition, affection, and conation are supported by the system of reasoning and moral perspective known as techne, episteme, and oikeiosis as systems of reasoning and morality perspective. We argue that compassion is more than just an emotion or feeling, it is catalyst for moral action, as its essence lies in “suffering with; suffering together.”