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This study aims to explore the structure and dynamics of Qatar’s crowdfunding ecosystem to support economic diversification and enhance entrepreneurial activities. This research focuses on analyzing the development of the industry, its regulatory environment and the collaborative dynamics among stakeholders.

This study used network analysis and Monte Carlo simulations to examine the interplay between various stakeholders, including entrepreneurs, to understand their roles and interconnections. This study also simulated different economic scenarios to evaluate the potential impact of crowdfunding under various market conditions and regulatory frameworks.

The analysis reveals a moderate level of crowdfunding activity characterized by conservative fundraising outcomes. The key factors identified include the pivotal role of a supportive regulatory framework and the necessity of robust stakeholder collaboration and infrastructure to ensure the industry’s resilience and growth.

The findings are constrained by the simulated scenarios and the current state of the crowdfunding market in Qatar, suggesting that further research could explore emerging trends as the market evolves.

This study provides actionable recommendations for policymakers and regulatory authorities to boost a conducive environment for crowdfunding platforms. This includes enhancing connectivity among stakeholders and building robust infrastructure to support industry growth.

This study underlines the significant social benefits of crowdfunding, including promoting innovation, supporting economic growth and facilitating entrepreneurship. These elements are vital to Qatar’s broader economic diversification strategy.

This study provides original insights into the crowdfunding landscape in Qatar, particularly in terms of strategic planning and risk management, using advanced simulation techniques to predict the outcomes of different regulatory and economic scenarios.

The purpose of this study is to comprehensively examine the ethical implications surrounding generative artificial intelligence (AI).

Leveraging a novel methodological approach, the study curates a corpus of 364 documents from Scopus spanning 2022 to 2024. Using the term frequency-inverse document frequency (TF-IDF) and structural topic modeling (STM), it quantitatively dissects the thematic essence of the ethical discourse in generative AI across diverse domains, including education, healthcare, businesses and scientific research.

The results reveal a diverse range of ethical concerns across various sectors impacted by generative AI. In academia, the primary focus is on issues of authenticity and intellectual property, highlighting the challenges of AI-generated content in maintaining academic integrity. In the healthcare sector, the emphasis shifts to the ethical implications of AI in medical decision-making and patient privacy, reflecting concerns about the reliability and security of AI-generated medical advice. The study also uncovers significant ethical discussions in educational and financial settings, demonstrating the broad impact of generative AI on societal and professional practices.

This study provides a foundation for crafting targeted ethical guidelines and regulations for generative AI, informed by a systematic analysis using STM. It highlights the need for dynamic governance and continual monitoring of AI’s evolving ethical landscape, offering a model for future research and policymaking in diverse fields.

The study introduces a unique methodological combination of TF-IDF and STM to analyze a large academic corpus, offering new insights into the ethical implications of generative AI across multiple domains.