Background This study explores the pivotal role of women entrepreneurs in fostering economic growth and social transformation, focusing on micro and small enterprises (MSEs). Despite the significant rise in women entrepreneurship, challenges persist, including gender-based barriers, limited access to capital, and regional disparities. Understanding these dynamics is essential for formulating policies that support and empower women entrepreneurs. Method The present study employed a systematic literature review (SLR) and Latent Dirichlet Allocation (LDA), an advanced topic modeling technique, to identify prevalent themes within the literature. Data was extracted from Scopus-indexed journals (2000–2024), systematically filtered, and analyzed to uncover key patterns in women entrepreneurship research. Results The analysis identifies four central themes: (1) Women in Entrepreneurship and Gender Roles, (2) Small Business and Women Enterprises, (3) Social Impact of Women Entrepreneurs, and (4) Challenges Faced by Female Entrepreneurs. The findings highlight the transformative potential of digital platforms in enhancing business opportunities for women and addressing traditional constraints, such as mobility and market access. Conclusion This study highlights the need for targeted interventions to enhance digital literacy, bridge socio-cultural disparities, and establishing inclusive policies that foster a supportive entrepreneurial ecosystem. By synthesizing existing literature, this research provides actionable recommendations for policymakers, financial institutions, and stakeholders to strengthen women-led enterprises and drive gender-equitable growth.

Businesses increasingly function more effectively as a result of disruptive technologies like the IoT, AI, BDA, and Blockchain. Artificial Intelligence (AI), which has the biggest potential to change marketing, is the most current disruptive technology. The top AI solutions for marketing functions are being sought after by international practitioners. However, a thorough analysis of the literature can show how useful artificial intelligence (AI) is for marketing while also outlining potential research areas. The current study provides a comprehensive assessment of AI in marketing using bibliometric, conceptual, intellectual network, and thematic map analysis of the available literature published between 2014 and 2023. Bibliometric analysis was done through Biblioshiny using $R$ and Vos viewer software. A thorough analysis of three hundred fifty-six publications allowed for the identification of the scientific actors that performed the best. Furthermore, cocitation analysis offered the intellectual and conceptual framework.

The goal of elevating higher education to suit shifting societal and industrial needs has led to the development of many projects, including educational data mining based on neural networks. This research article presents a systematic review of how neural networks have been applied to improve educational results, and teaching and learning processes, and addresses issues faced by higher educational institutions by analyzing a wide range of studies. We carry out a thorough bibliometric analysis of academic works on the use of artificial neural networks in higher education. Through comprehensive bibliometric analysis of 225 articles taken from the Scopus database, we identified the evolution, trend of publications, salient features of research, and most prolific contributors in terms of researchers, countries, and institutions in this rapidly developing field. Biblioshiny using R software and VOSviewer are utilized to analyze the data. We uncover intriguing areas for further study, including the use of neural networks in conjunction with other technologies, such as VR and NLP to improve teaching and learning experiences. This study contributes to the existing scholarly conversation by highlighting trends, literature gaps, and potential future directions. It also provides information for processes of decision-making involving the incorporation of artificial neural networks (ANL) in the context of higher education.

This research investigates the critical role of collaboration skills in preparing students for the Indian workforce. Through in-depth interviews with eight experts in workforce development and education, the study reveals a clear consensus: collaboration is paramount in today's job market. Employers actively seek candidates who can integrate seamlessly into collaborative teams and work effectively towards shared goals. However, the research identifies a disconnect between this demand and current educational practices. The research explores potential solutions. Integrating project-based learning across subjects can provide opportunities for students to work together on real-world problems. Additionally, building social-emotional learning (SEL) skills like active listening, empathy, and conflict resolution is crucial for successful collaboration. The findings highlight challenges like tailoring collaboration skill development to specific industries and equipping educators with the necessary skills to facilitate collaborative learning.

Through this study, authors were able to identify and analyze current literature and experts’ prospects in regards of blockchain technology and further conceptualized various suggestions and recommendations for key activities of businesses, human resources management and marketing. Blockchain is believed to have profound effects on marketing activities of an organization in multiple ways like enhancing brand loyalty through upliftment of trust amongst brand and customers for campaigns being run by an organization; brings forward incremental innovations. Further, blockchain can also help in simplification and reduction of overall campaign cost through usage of 6G networks, cryptocurrency/tokenization as it has its own advantages for an organization. In case of human resources, study investigated the effect of blockchain on recruitment process and it was found that it holds huge implications for transparency, decentralized transactions, security and immutable records. Blockchain has capability to support technologies like, AI-based 6G, to craft smarter, more effective, and secured cellular network. All the gratifications associated with adoption of blockchain reshapes current business practices and improve traditional practices. Finally, study brought forward issues that should be considered for further research on the topic.

The Chapter investigates the transition from RPA to IPA and its revolutionary impact on businesses in the digital age. The study carefully analyzes the key challenges and opportunities that have accompanied the adoption of IPA in organizational workflows. The report exploits a detailed literature review to establish major trends and business issues when using IPA systems. It addresses the organizational, technological, and human-centric challenges that relate to leadership matters, resistance to change management, and gaps in skills for handling automation technologies. The findings suggest that although IPA can greatly improve operational efficiency through automated routine tasks, it poses challenges in role redefinition at work, in higher-order talent enhancement for employees, and in countering opposition to automation. However, for IPA adopting AI technologies such as machine learning and natural language processing will provide new ways to manage complex activities and streamline data-driven decision-making.