FinTech in India: An analysis on impact of telecommunication on financial inclusion

Siddiqui, Taufeeque Ahmad; Siddiqui, Kashif Iqbal

doi:10.1002/jsc.2331

Cited by 37 publications

(28 citation statements)

References 21 publications

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“…It was only with millennials' growing importance in the workplace and as consumers that technologies such as cloud services, open‐source software, AI, mobile devices, and apps have surged (Hill, 2018). The use of technologies for services such as mobile payments has ushered in growth for the economy and increased the poorest's financial inclusion and income (Lee, Morduch, Ravindran, Shonchoy, & Zaman, 2021; Siddiqui & Siddiqui, 2020). Within these technologies, AI offers continuous innovation for the improvement and potential replacement of human tasks and activities with a wide range of applications in finance, healthcare, manufacturing, retail, supply chain, logistics, and utilities (Ben‐Israel et al, 2020; Bredt, 2019; Dwivedi et al, 2019; Safdar, Banja, & Meltzer, 2020).…”

Section: Overview Of Ai In Finance and Financial Marketsmentioning

confidence: 99%

Artificial intelligence techniques in finance and financial markets: A survey of the literature

Milana

Ashta

2021

Strategic Change

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Both academic and nonacademic literature is evolving following the oscillating development of artificial intelligence (AI) and computing power's evolution in their application to finance and financial markets. The limits to economic growth encountered after the financial crisis and, successively, the recent pandemic bursts have posed new challenges to AI-related technologies. The surveyed publications have given hope in harvesting improved efficiency, new data, information, advisory and management services, risk mitigation, and some unanswered questions regarding negative impacts on sustainable growth and increasing economic welfare.

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Section: Overview Of Ai In Finance and Financial Marketsmentioning

confidence: 99%

Artificial intelligence techniques in finance and financial markets: A survey of the literature

Milana

Ashta

2021

Strategic Change

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“…Thus, Friedline et al (2020) analyse whether Fintech help to expand access to financial services in rural areas of the U.S. However, most of this research is again oriented to emerging economies -e.g., Kohardinata et al (2020) for Indonesia; Siddiqui and Siddiqui (2020), in India.…”

Section: State Of the Artmentioning

confidence: 99%

Bank Credit and Trade Credit After the Financial Crisis: Evidence From Rural Galicia

Peón

Guntín

2021

Journal of Business Economics and Management

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Access to external finance is a key challenge for the creation, survival and growth of SMEs. This article delves into the “weak funding” handicap of rural small firms (SEs): the access to bank financing and the substitutive role of trade credit for entrepreneurs in rural areas when they faced bank credit constraints. Considering SEs in Galicia (Spain), a paradigmatic case in Europe of rural areas in demographic decline with a strong impact of the Spanish sovereign and banking crisis of 2008–2012. There’s evidence of firms in rural areas facing a differential negative flow of bank credit during the financial crisis, especially in the manufacturing and construction sectors, that dissipated afterwards. Then, using a panel data approach that considers the determinants of trade credit, the complementary and substitutive hypotheses are tested to estimate the impact of bank credit restrictions over trade credit.

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“…Moreover, Siddiqui and Siddiqui (2020) defined financial inclusion as “the process of ensuring access to financial services and timely and adequate credit where needed by vulnerable groups such as weaker sections and low‐income groups at an affordable cost” including savings, credit, remittance, insurance, and financial literacy apart from having a bank account. The population of emerging countries knows their own money is their most reliable form of social security to manage their financial uncertainty.…”

Section: Introductionmentioning

confidence: 99%

The impact of COVID‐19 on the technology sector: The case of TATA Consultancy Services

2021

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Two of the most unpredictable uncertainty indices could explain the business and stock price performance of TATA Consultancy Services (TCS) before and after the COVID‐19 pandemic. This pandemic affects business performance and predictability from uncertainty indices. With the second spread of the pandemic, IT industries have been prepared for the high networking bandwidth. Moreover, the bivariate VAR(1)‐GARCH(1,1) model is weaker during the COVID‐19 period. IT outsourcing after the worldwide outbreak of the disease is one of the most thriving enterprises globally. The coronavirus crisis is expected to have an impact on the IT outsourcing industry. Most of the uncertainty indices of these days are built up from news outlets explored in the case study of TCS. Quantitative examination strategies have been utilized to explore the impact of doubt indices in TCS and the residuals if the organization's emergency persists.

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FinTech in India: An analysis on impact of telecommunication on financial inclusion

Cited by 37 publications

References 21 publications

Artificial intelligence techniques in finance and financial markets: A survey of the literature

Artificial intelligence techniques in finance and financial markets: A survey of the literature

Bank Credit and Trade Credit After the Financial Crisis: Evidence From Rural Galicia

The impact of COVID‐19 on the technology sector: The case of TATA Consultancy Services

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