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.

The activities and characteristics of heritage, cultural, and creative tourism are notably distinct despite the fact that they are frequently confused and misunderstood. Moreover, these types of tourism have been significantly affected by the COVID-19 pandemic. This review article aims to explore the characteristics of three types of tourism, both pre- and post-pandemic, and seeks to propose sustainable solutions with new opportunities for the tourism industry. The article adopts a PRISMA flow diagram and VOSviewer to perform a systematic literature review, ultimately selecting 179 articles from the Scopus, ScienceDirect, and Google Scholar databases and grouping them into five clusters: 1) heritage, cultural, and creative tourism; 2) co-creation; 3) creative city; 4) sustainability; and 5) technology and innovation. Consequently, this review article proposes a final framework presenting five related clusters suggesting sustainable solutions for creative tourism. It may aid the tourism industries in their transition to creative tourism, which is more sustainable and broadly focused while ensuring safety and enhancing income for local communities in the post-pandemic period.

The expanding blue economy, marked by its focus on sustainable use of ocean resources, offers enormous opportunity for Small and Medium-sized Enterprises (SMEs). However, for SMEs to properly integrate and succeed in this economy, they must first have a thorough awareness of the sector’s challenges and prospects. This research used a scoping review and a qualitative study to identify the challenges and opportunities facing SMEs operating in the blue economy. The study discovered recurring themes and gaps in the existing literature by conducting an extensive examination of scholarly publications. The key challenges identified include complicated regulatory frameworks, restricted access to funding, infrastructure restrictions, talent deficiencies, government support, and market outreach. In-depth interviews with Malaysian SME leaders, industry stakeholders, and policymakers were conducted to decipher these findings. The results of interviews confirmed the relevance of the regulatory framework, infrastructure restrictions, talent deficit, and market access challenges in the Malaysian context. In particular, the study revealed emerging opportunities for Malaysian blue SMEs in sectors such as renewable energy, sustainable fisheries, marine biotechnology, and ecotourism. The study emphasizes the importance of an encouraging policy framework, knowledge-sharing platforms, and capacity building activities. It finishes by underlining the ability of SMEs to drive a sustainable and thriving blue economy, if challenges are systematically handled, and opportunities are appropriately capitalized.

The global shortage of nurses has resulted in the demand for their services across different jurisdictions causing migration from developing to developed regions. This study aimed to review the literature on drivers of nurses’ migration intentions from source countries and offer future research directions. A search strategy was applied to ScienceDirect, Web of Science, and Scopus academic databases to find literature. The search was limited to peer-reviewed, empirical studies published in English from 2013–2023 resulting in 841 papers. The study followed the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines to conduct a systematic review of 35 studies after thorough inclusion and exclusion criteria. In addition, the VOSviewer software was utilized to map network visualization of keywords, geographic and author cooperation for bibliometric understanding. The findings revealed various socio-economic, organizational, and national factors driving nurses’ migration intentions. However, limited studies have been conducted on family income, organizational culture, leadership style, infrastructure development, social benefits, emergency service delivery, specialized training, and bilateral agreements as potential drivers for informing nurses’ migration intentions. Moreover, a few studies were examined from a theoretical perspective, mainly the push and pull theory of migration. This paper contributes to the health human resources literature and shows the need for future studies to consider the gaps identified in the management and policy direction of nurse labor migration.

This study aims to determine the extent to which talent identification is implemented in talent management. A Systematic Literature Review (SLR) was conducted to summarize the application of talent identification in the last six years. Researchers use Reporting Items for Systematic Reviews and Meta-Analysis (PRISMA) to process scientific articles. The literature reveals that while topics related to talent management garner significant attention, research on talent identification within talent management remains relatively scarce despite a gradual increase each year. We compared documents indexed by Scopus Q1 and Q2. The results show that the United States accounted for a significant portion of research on talent identification, representing 16% of the total existing research. Researchers have conducted extensive studies on the medical and pharmaceutical sectors, public services, tourism, and hospitality. The number of citations varied greatly from 1 to 93, with a median value of 20. These studies have also used various research methods with different theoretical bases and produced different analyses. This finding enriches the perspective of talent identification.

Depression is a mental disorder caused by various causes with significant and persistent depressed mood as the main clinical feature, and is the most common mental illness worldwide and in our country. The number of patients with depression worldwide was as high as 350 million in 2017, and the number of patients with depression in our country was nearly 100 million in 2019. The greatest danger of depression is self-injurious and suicidal behaviour, and this behaviour carries a high medical burden. Medication is the most costly treatment for depression in China, and while it is an effective way to treat patients with depression, it has many side effects and poor patient compliance. Non-pharmacological treatments commonly used in clinical practice include physiotherapy and psychotherapy. Physiotherapy is commonly used in non-convulsive electroconvulsive therapy, but its clinical efficacy is uncertain and it can also cause adverse effects such as heart failure and arrhythmias, which are poorly tolerated by patients. Psychotherapy is also a common non-pharmacological therapy. Cognitive therapy is a common form of psychotherapy, but the cycle of cognitive therapy is too long, the cost to the patient is high, and the patient’s cognitive ability has certain requirements. Music therapy is a combination of art and science. It is a cross-discipline that combines body, movement, dance and psychology and is a method of psychotherapy that has biological, psychological and social functions to compensate for deficiencies. Music therapy sees a fundamental connection between mind and body and emphasises that what affects the body also affects the mind. When mind-body integration is lacking, individuals will suffer from a variety of psychological disorders. Therefore, the core principles of music therapy emphasise that holistic individual health is embodied in the integration of mind and body, that body movement is expressive and communicative, and that music therapy uses body movement as a method of assessing the individual and as a means of clinical intervention.