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Electric vehicles (EVs) are among the most revolutionary breakthroughs by the context of decarbonization of road transport. The adoption of EVs has drawn increasing attention and is currently considered a potential route towards sustainable transportation. Businesses approaching the EV market must establish lucrative business models that overcome the adoption obstacles for EVs while assuring long-term growth. The intent of the current research exploration is to create a cutting-edge framework for EV enterprises that aims to maximize profit and save delivery time leading to high customer satisfaction. The volume discount strategy is used for profit escalation. The model presented in this paper is highly adaptable for a real-world problem as it incorporates uncertainty in the EV industry through generalized triangular neutrosophic numbers, an extension of fuzzy numbers. A modified version of the neutrosophic compromise programming approach is proposed in this paper. The results from this approach are validated using genetic algorithm. The proposed optimization-based framework is encapsulated in the form of study of a case from Bangalore city, in India. An in-depth exploration of two cases along with sensitivity analysis is carried out that helped in prioritizing some discrete customers and gave insights on which manufacturing site should be designated more focus. • Profit maximizing business model for electric vehicle (EV) merchants is proposed. • Uncertainty in EV industry is captured using fuzzy number. • A modified neutrosophic compromise programming technique is proposed. • Case study is considered involving particular case and sensitivity analysis. [ABSTRACT FROM AUTHOR]

• First longitudinal study of a FinTech ecosystem on a global, national and city level. • Network visualization of foreign and domestic investments in FinTech. • Documenting Bangalore's emergence as India's FinTech capital and the rise of New Delhi. • Demonstrating how Mumbai and Bangalore structure India's financial geography as complementary ecosystems. • Conceptualizing FinTech in India as a "Tech-Fin-State" ecosystem. This paper explores the potential of FinTech to change the geography of finance and financial centres through a longitudinal and multiscalar analysis of FinTech in India. Using a financial ecology approach, we combine quantitative data on firm creation and funding with insights from corporate interviews to unpack and examine the key elements of the Indian FinTech ecosystem. At the national scale, our results highlight how the export-oriented ICT sector, the implantation of large-scale, open digital infrastructures and enabling regulatory frameworks have enabled and shaped the growth of FinTech as a state-supported, tech-driven "Tech-Fin-State" ecosystem. At a city scale, the paper demonstrates how FinTech transforms India's financial geography in two directions. First, locational patterns and investment networks have established New Delhi and Bangalore as international FinTech hubs, ahead of Mumbai. Second, the re-intermediation of finance by FinTech firms should be understood as the connection between the two distinct yet complementary ecosystems of Bangalore, India's FinTech capital, and Mumbai, the incumbent financial capital, while advancing regional integration beyond India. [ABSTRACT FROM AUTHOR]