Era of COVID-19 resulted in contactless transactions and extensive use of technological applications.Similar was the case of Fin-Tech which has extensively been used by consumers all around the globe for making transa...Era of COVID-19 resulted in contactless transactions and extensive use of technological applications.Similar was the case of Fin-Tech which has extensively been used by consumers all around the globe for making transactions and other financial and economic needs.Although there is a lack of research to reflect these forms of evidence from the developing as well as Indian sides of the globe.On the other side,some studies indicated the Unified Household Acceptance and Use of Technology(UTAUT)model as the base to prefer mobile methods of transaction and Fin-Tech use.Hence this paper has been developed systematically to relate the financial literacy of household females from Generation Y with the use of Fin-Tech during the eve of COVID-19.For devising this relationship research has been induced with the UTAUT model and data have been collected from married household females between twenty-four to thirty-five years of age.Results were analyzed through SMART-PLS which highlighted the financial literacy of Indian household females has a significant association with UTAUT model.However,the entire UTAUT model does not have a significant relationship with the use of Fin-Tech.展开更多
This paper aims to probe the influence of innovation spillovers in the artificial intelligence(AI)and financial technology(Fin-tech)industries on the value of the internet of things(IoT)companies.Python was utilized t...This paper aims to probe the influence of innovation spillovers in the artificial intelligence(AI)and financial technology(Fin-tech)industries on the value of the internet of things(IoT)companies.Python was utilized to download public information from Yahoo Finance,and then the GARCH model was used to extract the fluctuations of cross-industry innovation spillovers.Next,the Fama–French three-factor model was used to explore the interactive changes between variables.The panel data regression analysis indicates that the more firms accept innovation spillovers from other industries,the better the excess return;however,this effect differs because of industrial attributes and the environmental changes induced by COVID-19.Additionally,this study finds that investing in large-cap growth stocks of IoT firms is more likely to yield excess returns.Finally,the study yields lessons for policy leverage to accelerate the upgrading and transformation of innovation-interactive industries by referring to the practices of Singapore and South Korea.展开更多
文摘Era of COVID-19 resulted in contactless transactions and extensive use of technological applications.Similar was the case of Fin-Tech which has extensively been used by consumers all around the globe for making transactions and other financial and economic needs.Although there is a lack of research to reflect these forms of evidence from the developing as well as Indian sides of the globe.On the other side,some studies indicated the Unified Household Acceptance and Use of Technology(UTAUT)model as the base to prefer mobile methods of transaction and Fin-Tech use.Hence this paper has been developed systematically to relate the financial literacy of household females from Generation Y with the use of Fin-Tech during the eve of COVID-19.For devising this relationship research has been induced with the UTAUT model and data have been collected from married household females between twenty-four to thirty-five years of age.Results were analyzed through SMART-PLS which highlighted the financial literacy of Indian household females has a significant association with UTAUT model.However,the entire UTAUT model does not have a significant relationship with the use of Fin-Tech.
文摘This paper aims to probe the influence of innovation spillovers in the artificial intelligence(AI)and financial technology(Fin-tech)industries on the value of the internet of things(IoT)companies.Python was utilized to download public information from Yahoo Finance,and then the GARCH model was used to extract the fluctuations of cross-industry innovation spillovers.Next,the Fama–French three-factor model was used to explore the interactive changes between variables.The panel data regression analysis indicates that the more firms accept innovation spillovers from other industries,the better the excess return;however,this effect differs because of industrial attributes and the environmental changes induced by COVID-19.Additionally,this study finds that investing in large-cap growth stocks of IoT firms is more likely to yield excess returns.Finally,the study yields lessons for policy leverage to accelerate the upgrading and transformation of innovation-interactive industries by referring to the practices of Singapore and South Korea.
