Harjit Singh

Entrepreneurship education has become a strategic focus in the national innovation and competitiveness discourse, especially in emerging economies aiming to diversify their economies and pursue knowledge-based development. The chapter compares technology integration and strategic collaboration in entrepreneurship education in the United Arab Emirates (UAE) and India. The research methodology is a qualitative, document-based, comparative approach grounded in policy documents, institutional initiatives, and selected higher education practices from both countries. Based on the theoretical frameworks of the Triple Helix model, the entrepreneurial university framework, and innovation ecosystem theory, the analysis aims to understand the changing relationships among government, universities, and industry regarding entrepreneurial capabilities. The results show two separate but increasingly intertwined paths. Entrepreneurship education in the UAE is mostly implemented in a centralised manner, with policy coordination, robust state support, and swift technological adoption to foster innovation-driven economic diversification. In India, by contrast, entrepreneurship education has been mainstreamed more widely and inclusively through a range of large-scale policy and institutional reform efforts, though regional differences in infrastructure quality and institutional capacity persist. The comparative results suggest that technology-based entrepreneurship education is best developed in the presence of committed institutional relationships, industry involvement, and policy support. The chapter also underscores how governance systems, resource availability, and educational environments affect entrepreneurial learning outcomes in both settings.

Purpose: Although token economies have become a defining feature of many Web3 platforms, their ability to sustain participation over time remains uncertain. A recurring pattern can be observed across several ecosystems: rapid initial growth is often followed by declining engagement, weakening trust, and unstable participation. This study seeks to understand why such outcomes persist despite increasingly sophisticated incentive structures. Design/methodology/approach: The paper adopts a conceptual approach and develops a multi-level framework by drawing together insights from self-determination theory, agency theory, trust theory, institutional theory, platform economics and cybernetic systems thinking. Rather than viewing token economies only through market incentives, the framework examines how behavioral motivations, governance practices, institutional conditions and feedback processes interact in shaping long-term engagement. Findings: The study suggests that sustained participation in token economies depends on more than financial rewards alone. Intrinsic motivations, such as community involvement and meaningful participation, appear to play an important role in maintaining engagement over time. Governance transparency and perceived fairness strengthen user trust, while trust itself emerges as a key mechanism linking platform design to continued participation. The framework further indicates that sustained engagement contributes to ecosystem stability, although these relationships are influenced by broader institutional conditions, including regulatory clarity and legitimacy. Research limitations/implications: As a conceptual study, the framework has not yet been empirically tested. The propositions developed here provide a basis for future research examining how trust, motivation and governance evolve across different types of Web3 ecosystems. The paper also opens opportunities for longitudinal and comparative studies exploring the sustainability of token-based platforms under varying institutional contexts. Practical implications: The findings suggest that platform designers should avoid relying exclusively on token-based incentives to drive participation. Greater attention may need to be given to governance transparency, functional token utility, community-building mechanisms, and long-term alignment among stakeholders. For policymakers, clearer and more consistent regulatory approaches may help reduce uncertainty and strengthen ecosystem credibility. Social implications: The paper contributes to ongoing discussions about Web3 as a potential infrastructure for digital social innovation. By emphasizing trust, participation and institutional legitimacy, the study highlights how decentralized systems may support more collaborative and community-oriented forms of digital coordination. Originality/value: This study contributes by reframing token economies as socio-technical and cybernetic systems embedded within broader institutional environments rather than treating them purely as economic mechanisms. It offers an integrated explanation of how motivation, governance, trust, legitimacy and recursive feedback interact to influence the long-term sustainability of Web3 ecosystems.

In an era marked by rising economic uncertainty, inflation, job market instability, and shifting social dynamics, understanding how young individuals develop financial stability has become increasingly critical. That is precisely why it is necessary to ensure Generation Z’s resilience to socioeconomic challenges. Even while youth financial habits are receiving more attention, few studies in a developing South Asian economy examine how attitudes toward money and family financial socialization affect their financial well-being. Therefore, this study investigates how financial attitudes, shaped by early family experiences, mediate the link between financial socialization and financial well-being. Between September and December 2024, a structured questionnaire was distributed both physically on campuses and digitally via online platforms to collect primary data from 452 Gen Z students (aged 18–28) enrolled in 10 management colleges affiliated with national and international universities operating in Kathmandu, Nepal, selected through a purposive sampling method. AMOS SEM was employed to analyze the proposed model comprehensively and test the hypothesized relationships and mediation effects. At the same time, Hayes’ PROCESS macro was used to examine the categorical moderation effect of parents’ education level and occupation. Regression analysis confirmed that stress on saving (β = 0.192), expected financial independence (β = 0.167), and media/peers (β = 0.180) significantly affect financial well-being. Attitude towards money mediated these effects, with significant conditional indirect effects across all parental occupations and education levels (p < 0.05). The findings highlight how social agents shape financial socialization and urge Nepalese youth to invest in their financial well-being amid socioeconomic challenges.

The chapter elaborates on ethical matters, from integrating advanced technology in health care to privacy, power, and progress themes. This brings higher operational efficiency in patient care due to advances in digital solutions in health and big data analytics, along with some critical issues concerning fairness in access, ownership of data, and concerns over patients' privacy. This Chapter, therefore, brings to the fore the moral dilemmas existing in the healthcare providers, policymakers, and patients; it is in this context that the paper advances frameworks for addressing such problems. The underlying argument is that there is a need for balanced solutions that promote technological innovation while safeguarding patient rights and societal interests.

Economic sustainability is indispensable for achieving inclusive growth in the Indian banking sector. A sustainable, robust, and healthy banking system keeps a country rolling on its economic wheels. This research study highlights much-talked-about but less-understood aspects of forensic accounting in the Indian banking sector. It examines forensic accounting's impact on the performance of public and private sector banks. The perspectives of bank managers and officers working in the Delhi National Capital Region (NCR) are the primary focal points of this study. Furthermore, the research paper emphasised the importance of shedding light on the benefits. Its Findings suggest that the demand for forensic accountants will also increase with the adoption of forensic accounting practices in India. Since forensic accounting is still optional, most accounting professionals don’t practice forensic accounting. Therefore, there is a need to spread awareness among accounting professionals about adopting Forensic Accounting Practices. This will also add sustainable corporate governance and make forensic accounting a required component of the governance system.

This study mainly explores the next phase of generative artificial intelligence and its benefits in healthcare. This work explores the changes artificial intelligence can bring to this sector, including artificial neural networks and adaptive autoencoders to develop self-healing models by collecting patient information, data, and existing research studies. These artificial intelligence systems can create curated plans for treatment that will benefit the patient. This will help improve treatment outcomes while reducing their side effects and overall outcomes for everyone with the disease. This chapter also explores the commitment of artificial intelligence in healthcare, discusses the issues and ethics, and suggests fields for future research, studies, and applications.

With the launch of text-based artificial Intelligence (AI) powered ChatGPT by OpenAI, the natural language processing method of communicating has been captivating the business world. Since its launch in November 2022, ChatGPT has been making waves in diverse areas ranging from customer care to healthcare, education to automobiles, and the financial world to communication technology. This study presents the theoretical background, use of technology, and its applications in various business areas. The study aims to organize much talked about but less understood technological aspects from a modern technological disruption perspective and lays the agenda for multidisciplinary research. Furthermore, we present AI-powered chatbot applications and business use cases vis-à-vis the uncertainties of using technology. Finally, we conclude by stating our thoughts regarding the direction of technology so that ChatGPT could benefit the business world.

The concept of fashion has been coupled with technology, where technology has become the protagonist. The transparency between an organization and a customer works as a catalyst, and the customer has taken a more mainstream role. With blockchain technology, companies can reconnect with customers and customers can track the journey of a product from its raw materials to the finished goods. The primary focus of the study is on services and data collected from the following sectors, namely fashion, apparel, and online platforms. The author's main goals are (1) to illustrate an overview of how big data is transforming the service industry, especially the fashion and design sector, and (2) to present various mechanisms adopted in the service industry. The study aims to investigate a model that fits through EXT-TAM and uses additional attributes of blockchain technology with a special reference to fashion apparel. The findings of this study depict a model, where PEOU, PU, and attitude are the major constructs and present a win-win scenario for both the customer and the organization.