The Delhi School of Economics is situated in University of Delhi's North Campus in Maurice Nagar. Established in 1949, the campus of the Delhi School of Economics houses the University of Delhi's departments of Economics, Sociology, Geography and Commerce, as well as the Ratan Tata Library. Out of the four academic departments, the Departments of Economics, Sociology and Geography come under the Faculty of Social Sciences, while the Department of Commerce comes under the Faculty of Commerce and Business Studies.Many of its former faculty members and alumni have gone ahead to become world famous economists, social scientists, writers, heads of states and journalists. It presently offers multiple post graduate and doctoral level programmes in a wide range of disciplines..
Society 5.0 is important as it allows businesses and industries to provide proper resolutions for society to ensure social stability aggressively. Society 5.0 is more advanced than Society 4.5 with advanced technology, providing robots and smart machines working processes in business. The major strategies of society are human-centric, resilience, sustainability, etc. E-commerce takes the advances of society 5.0 in the creation of higher business profit growth by delivering the goods and services, that afford greater personalization for customers and improve the quality of goods and services by the feedback facilities. The help of this automation creates a service-based model in business, where customers can focus on adding value for the end-user. This chapter mainly covered Society 5.0 and e-commerce, major discussion advantages of Society 5.0 in e-commerce, E-commerce business model, digital transformation Society 5.0 information society, workflow of factories, Society 5.0 policies and strategies, value chain management, etc. Human-centered computing facilities enhance the e-commerce scope in developing countries, these countries take crucial advantage of e-commerce and small-scale enterprises having a share of international trade with the large scope they also compete in the global market.
In this chapter the author will analyze the challenges and the strategic reaction to the issue of brand strategy and reputation management in response to the geopolitical crisis as well as AI-based misinformation. With the global markets getting more and more interrelated but politically fragmented brands are being subjected to new types of risks that are beyond the conventional marketing issues. The emergence of artificial intelligence especially generative technologies have changed the information ecosystem allowing to swiftly produce and spread misinformation which can have a profound effect on brand perception and consumer confidence. Based on theoretical views such as institutional theory the signaling theory and the stakeholder theory the chapter investigates the interaction between geopolitical dynamics and misinformation through AI and its impact on brand reputation. It emphasizes the most important processes of reputational harm like the loss of trust emotional contagion and algorithmic amplification as well as discussing the external aspects including political discourse and online platforms. The chapter also suggests strategic reactions by firms such as being proactive in the reputation building continuous monitoring localization stakeholder cooperation and moral branding. It also speaks of the feasibility-related issues of implementing the strategies that require the context-specific and ad-hoc strategies. Lastly the chapter demonstrates a conceptual framework which incorporates external drivers mediating factors and strategic responses to determine how brands can become resilient in complex environments.
This study examines gender-based patterns in formal and informal employment in India from 2018 to 2024 using ILO Labour Force data. It aims to analyze temporal changes in employment types, evaluate machine learning models for classification, and identify latent employment structures. After data cleaning (N = 4,581), a Random Forest Classifier predicted employment type, and KMeans clustering explored underlying patterns. Model performance was assessed using accuracy, precision, recall, and F1-score, while clustering quality was measured by the Silhouette Score. Results indicate informal employment dominates across genders, with males representing the largest share. Female formal employment increased modestly from 2022, yet disparities persist. The Random Forest model achieved 51% accuracy, reflecting limited predictive power using gender and time alone. KMeans clustering (Silhouette Score 0.49) identified three primary clusters—male-formal, female-informal, and low-participation—indicating overlapping employment characteristics.
International cooperation on climate and taxation remains inadequate to deliver decarbonisation, reduce poverty, and finance sustainable development at the required scale. We propose a Sustainable Union among willing countries, combining carbon pricing, new taxes on wealth, polluting fuels, financial transactions, and corporate income, with international revenue-sharing and conditional cooperation mechanisms. Most revenues would remain with participating governments for domestic spending, while a defined share would be pooled internationally. Specifically, participating countries would contribute 1% of gross national income (GNI) to a common pool redistributed in proportion to population, generating net transfers from richer to poorer countries. Meanwhile, the remainder of the revenue would increase domestic fiscal space by on average 2.2% of GNI. Although politically ambitious, such a framework might be credible, as governments are already advancing related forms of voluntary cooperation, and survey evidence indicates that it would be supported by majorities worldwide.
