The under-pricing of Initial Public Offerings (IPO) speaks to one of the inconsistencies seen in essential markets (primary market) worldwide, however, the profundity and broadness of its shift from nation to nation. In this context, the study is a posteriori analysis of the short-run performance of Indian IPOs in the National Stock Exchange (NSE). The study aims to determine the relationship between the returns of IPOs and NIFTY50 (benchmark index) using correlation and regression analysis. To determine the performance of the IPOs, whether they are outperforming or underperforming using Wealth Relative Model. As the investors look for attractive returns through primary market opportunities, therefore, historical returns of trading days 1, 5, 10, 15 and 20 are taken into consideration. The study uses data of 114 Indian IPOs that were listed in the NSE during the period 2014–2018 as part of secondary data, however, a total of 71 under-priced IPOs listed in the NSE are utilized for analysis. The study concludes there is a significant under-pricing of IPOs with trading day 15th showing the highest initial returns.

In the context of digital transformation and uncertainty, workforce agility has emerged as a critical driver of organizational resilience, adaptability, and competitiveness. This chapter synthesizes existing literature and presents a bibliometric analysis of 56 publications from the Scopus database (2019–2025) using the Bibliometrix R package. Findings highlight psychological empowerment, emotional intelligence, digital competence, and transformational leadership as central enablers of agility. Results indicate a steady rise in scholarly output, with India emerging as a leading contributor. Thematic evolution analysis shows innovation as a stable construct, while workforce agility is increasingly aligned with resilience in response to post-pandemic and VUCA challenges. COVID-19 is identified as a pivotal catalyst shaping discourse. The study frames workforce agility as a strategic asset for fostering innovation, managing crises, and enhancing performance. Future research should examine its institutionalization across cultures and integration with AI-driven systems.

The convergence of artificial intelligence, digital technologies, and corporate sustainability is one of the fastest-growing areas of management research. Using the PRISMA 2020 protocol, a two-strand Scopus search yielded 6,305 peer-reviewed publications (2019–2026). Bibliometric analyses, including keyword co-occurrence network analysis, country co-authorship mapping, and Bradford's Law assessment, spanned 172 countries, 16,943 authors, and 15,774 keywords. The literature grew at a 59.5% compound annual growth rate. Four thematic clusters and eight research streams were identified, including AI-Driven ESG Scoring, Blockchain for Transparent Value Chains, and Predictive Carbon Analytics. Seven research gaps and eight testable propositions constitute a research agenda.

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