N. L. Dalmia Institute of Management Studies and Research

The rapid convergence of Artificial Intelligence, Blockchain, and the Metaverse has essentially changed the strategic management environment from closed, proprietary systems to open, decentralized ecosystems. Nevertheless, scholarly articles appear to be stored in different silos across distant technological areas and thus, they do not consider the systemic aspect of this change. This research comprises a comprehensive bibliometric study of 12,097 articles and reviews that are indexed in Scopus and published between 2015 and 2025. It aims to delineate the intellectual structure and the temporal evolution of management technologies. The study, through VOSviewer for co-occurrence and temporal overlay analyses, identifies four distinct macro-clusters that segregate the literature. The Immersive and Generative Interface cluster, which is a combination of artificial intelligence, generative AI, metaverse, virtual/augmented reality, and service sectors, is the first cluster. Algorithmic Decision Systems, a second cluster, is a technology choice that concentrates on machine learning, deep learning, and optimization. A third cluster, Decentralized Operations & Circularity, is a combination of blockchain, supply chain management, Internet of Things, and circular economy. The fourth cluster, Strategic Digital Renewal, is a conceptual framework around digital transformation, sustainability, innovation, and SMEs. The longitudinal investigation discloses the movement of the world-view from Connectivity and Optimization (2015–2021), being mainly the infrastructure of Industry 4.0, to Generative Governance and Immersion (2023–2025), where the main drivers are generative AI, metaverse applications, and AI ethics. The paper integrates these insights in an Integrative Technology Management model and outlines comprehensive future research directions in generative strategy, immersive operations, algorithmic ESG, and SME governance.

Rapidly advancing with innovations in AI, biotechnology, cybernetics, and neuroscience, human augmentation entails technological, biological, and genetic interventions. This chapter discusses the ethical dilemmas that human augmentation presents for the workplace, focusing on privacy and informed consent, workplace inequality among employees, and potential undue pressure to adopt any particular form of augmentation. Key technologies driving this process include AI cognitive assistants, gene editing, and brain–computer interfaces (BCIs), which promise productivity and well-being for employees. Nevertheless, these come with considerable ethical concerns. Privacy offenses arise with employer access to employees’ biometric and neural information and thus require strong data protection policies. Workplace inequality may arise, especially with a distinction between enhanced employees and those without augmentation. The necessity of protecting autonomy by having augmentation be entirely voluntary, free of any sort of coercion, is worth emphasizing. The chapter will also analyze how global ethics guidelines from organizations such as UNESCO and WHO help regulate augmentation technologies and promote responsible infant development. With a culture of inclusion in which both augmented and non-augmented employees are afforded equal opportunity to prosper, organizations will realize the full measure of the benefit from augmentation while keeping a watchful eye on the protection of core human rights. To tackle these ethical challenges, an adequate response should find a good balance between promoting innovation and upholding human dignity so that the function of technology in human life is really an enhancement of life that does not diminish basic rights. Continued public dialog, ethical oversight, and adherence to global standards will be imperative in guiding human augmentation in the workplace.

This study aimed to establish the influence of economic growth (measured by GDP), industrialization (IND), mineral rents (MR) and population growth (PG) on CO2 emissions (CO2) in the context of one of the fastest growing economies in the world, i.e., India. The study employs the ARDL bounds test to analyze the information obtained from the World Bank records for the years 1990–2023. The outcomes of the empirical analysis revealed that GDP and PG clearly affect CO2 in the long run. Similarly, CO2 is negatively affected by its lagged value, whereas FDI is found to positively contribute to CO2 emissions in the short run. Our results also establish that IND negatively affects CO2, establishing the EKC hypothesis in the context of India. Finally, the short-term results indicate a negative impact of MR on CO2. The study produced relevant findings that make noteworthy input to the current knowledge in the area of emerging economies. Policy- and governance-related implications emerging from the analysis are provided by the study.

This article reports the structural characterization and luminescence study of Ca2La3(SiO4)3F:Dy3+ synthesized by solid state reaction (SSR) route. It belongs to hexagonal system with space group P6_3/m . SEM and EDAX study confirm formation of micro-crystalline powder and pure phase formation. The phosphor exhibits well intense peak around 573 nm attributed to electronic transition 4F9/2 → 6H13/2 along with other weak emission peaks when excited at 386 nm. Yellow-green emission is confirmed by the CIE chromatic coordinate diagram. This phosphor thus finds applications in solid state lighting, display devices and other optical applications.

At the end of the case, the students should be able to: TEQ Technologies, a nascent Indian Information Technology (IT) firm with significant growth potential, was founded by Ajay Khavnekar and presented a compelling investment opportunity to Girish Chhabria, a venture capitalist. However, this start-up had its inherent risks. The firm’s core business segments included sales and customization of accounting and Enterprise Resource Planning (ERP) software, customer relationship management solutions and cloud computing services. Girish’s team of analysts conducted a comprehensive analysis that considered industry trends, competitive landscape and financial projections to evaluate the firm from an investment perspective. Using the venture capitalist approach and DCF method, Girish’s team of equity analysts valued TEQ Technologies. The venture capitalist approach used the industry average enterprise value to sales multiple to estimate the firm’s value. The DCF method involved projecting revenue growth, profit margins and capital requirements while accounting for the company’s inherent risk. Ultimately, the decision rested with Girish, who had to make a choice: invest in TEQ Technologies, take the risk and potentially reap significant rewards or decline the opportunity and forego the potential risk and gains. This case study requires students to use the top-down approach to value the firm. They will apply venture capitalist and DCF methods to determine TEQ Technologies’ fair value and make an informed investment decision. An instructor can use this case to teach a course on business valuation to postgraduate students undergoing a Management Education Program specializing in finance. The case can be included in the second half of the course after students have learnt about capital budgeting techniques, financial ratios, calculation of capital cost of capital, cost of equity and have knowledge of various business valuation methods. The case serves as an application tool for implementing the learnings covered earlier in the course. Instructors teaching a course on private equity and venture capital or mergers and acquisitions can also use this case to teach equity valuation. Teaching notes are available for educators only. CSS 1: Accounting and Finance.