Higher education around the world has moved to online teaching due to COVID-19 pandemic. Students in higher education are compelled to attend online classes and adopt e-learning mode. There is not much evidence on training the students to adopt e-learning and remote learning. However, do they have a positive attitude towards e-learning and has it affected their academic performance? Present study administered an e-learning attitude scale to 840 students of a reputed University to examine whether they have positive or avoidance attitude to e-learning and also analysed e-learning attitude across students demographic characteristics. Study revealed a slight positive correlation between e-learning attitude and academic achievement of postgraduate students and not for undergraduate students. Girls’ excelled in their achievement and have a more positive e-learning attitude than boys have. Boys showed avoidance e-learning attitude. However, Socio Economic Status (SES) did not affect students’ e-learning attitude but influenced their academic achievement. Study concludes that stakeholders must create more opportunities to develop a positive attitude towards e-learning as future education is likely to be technology integrated.

Supply chain management is a multi-dimensional approach. Growing eco-consciousness has forced businesses to optimize operations and incorporate green practices across all the stages of supply chain in manufacturing and service sectors. Reviewing the past research literature propels us to understand its current and future prospects. Employing a systematic analysis, this research explores the intellectual structure of green supply chain practices and their connection to performance outcomes in various industries. This study covers a systematic literature review, content analysis, and bibliometric analysis on green supply chain management using VosViewer. It utilizes a PRISMA-guided screening method for identification, screening, eligibility and inclusion of literature from the literature available since 1999. The bibliometric analysis reveals key contributors, thematic clusters, prevailing theoretical frameworks, and emerging research trends in the domain of green supply chain management. China, followed by the United States and the United Kingdom, emerged as leading contributors to research in this area, driven by rapid economic growth, heightened environmental concerns, and well-established academic and industrial infrastructures. The study identifies eight thematic clusters within green supply chain management, including the triple bottom line, circular economy, and carbon emissions. The most highly cited papers within these clusters were examined for their methodologies, tools, and key findings, highlighting the prominent theories utilized in this field. Moreover, the research discusses how advanced technologies such as AI, blockchain, and big data analytics are poised to transform supply chains by enhancing decision-making and mitigating risks, thus playing a pivotal role in the future of green supply chain management.

Agriculture is the major source of income for the rural community. When agriculture merges with the tourism sector, a new sphere of activity is created, known as agritourism. The technology involved in artificial intelligence has created a gathering momentum in every field of activity. Artificial intelligence techniques help to improve farming activities and visitors also feel to enhance their tourist experience, thereby leading to behavioural intention. Hence, the primary purpose of this book chapter is to know the concepts of artificial intelligence in agritourism, describe the importance of AI in agritourism, identify the AI benefits to stakeholders, pinpoint the barriers to AI integration in agritourism and describe the case studies related with AI application in tourism industry. Thus, using AI in agritourism not only helps visitors have memorable experiences, but the local community also gets the advantage of rural sustainability in terms of social, economic, and environmental aspects.

The rapid growth of digital payment systems has significantly changed financial behaviors, especially among Generation Z. This group consists of digital natives whose buying habits are closely linked to technology. Using qualitative thematic analysis, which identifies common themes in qualitative data, this research reviews various studies and reports on financial technology adoption. It looks at how mobile wallets, UPI platforms, QR-based payments, and new fintech solutions affect Gen Z's spending habits, views on money, and financial choices in India. Drawing from existing literature, empirical research, and theories like behavioral economics and the Technology Acceptance Model (TAM), the paper brings together evidence on the psychological, social, and cultural factors behind digital payment adoption. The findings show that ease of use, peer influence, gamification features, and social media-driven consumption greatly motivate Gen Z to use cashless transactions. However, these same factors may lead to risks such as impulsive buying, accumulating debt through Buy Now Pay Later (BNPL) services, and privacy issues. Gender dynamics, urban-rural divides, and differences in financial literacy further complicate these trends. Meanwhile, digital platforms are promising for improving financial management through budgeting tools and investment apps. The paper concludes that digital payments are not just replacing cash; they are transforming financial identities, consumption culture, and intergenerational attitudes toward money. Insights from this study have important implications for policymakers, financial institutions, and educators looking to promote responsible, inclusive, and sustainable digital payment systems for the future economy.