Digital innovation is challenging the traditional way of offering financial services to companies;the so-called Fintech phenomenon refers to startups that use the latest technologies to offer innovative financial serv...Digital innovation is challenging the traditional way of offering financial services to companies;the so-called Fintech phenomenon refers to startups that use the latest technologies to offer innovative financial services.Within the framework of the Theory of Planned Behavior(TPB)and the Theory of Reasoned Action(TRA),the primary purpose of this paper is to develop a causal-predictive analysis of the relationship between Subjective Norms,Attitudes,and Perceived Behavioral Control with the Intention to Use and Behavioral Use of the Fintech services by companies.Partial Least Squares Structural Equation Modeling methodology was used with data collected from a survey of 300 companies.Our findings support the TRA and TPB models and confirm their robustness in predicting companies’intention and use of Fintech services.Financial technology innovators must understand the processes involved in users’adoption to design sound strategies that increase the viability of their services.Studying the antecedents of behavioral intention to adopt Fintech services can greatly help understand the pace of adoption,allowing these players to attract and retain customers better.This study contributes to the literature by formulating and validating TPB to predict Fintech adoption,and its findings provide useful information for banks and Fintech companies and lead to an improvement in organizational performance management in formulating marketing strategies.展开更多
This study aimed to evaluate the components of a fintech ecosystem for distributed energy investments.A new decision-making model was created using multiple stepwise weight assessment ratio analysis and elimination an...This study aimed to evaluate the components of a fintech ecosystem for distributed energy investments.A new decision-making model was created using multiple stepwise weight assessment ratio analysis and elimination and choice translating reality techniques based on quantum spherical fuzzy sets.First,in this model,the criteria for distributed energy investment necessities were weighted.Second,we ranked the components of the fintech ecosystem for distributed energy investments.The main contribution of this study is that appropriate strategies can be presented to design effective fintech ecosystems to increase distributed energy investments,by considering an original fuzzy decision-making model.Capacity is the most critical issue with respect to distributed energy investment necessities because it has the greatest weight(0.261).Pricing is another significant factor for this condition,with a weight of 0.254.Results of the ranking of the components of the fintech ecosystem indicate that end users are of the greatest importance for the effectiveness of this system.It is necessary to develop new techniques for the energy storage process,especially with technological developments,to prevent disruptions in energy production capacity.In addition,customers’expectations should be considered for the development of effective and user-friendly financial products that are preferred by a wider audience.This would have a positive effect on fintech ecosystem performance.展开更多
In the last decade,the risk evaluation and the investment decision are among the most prominent issues of efficient project management.Especially,the innovative financial sources could have some specific risk appetite...In the last decade,the risk evaluation and the investment decision are among the most prominent issues of efficient project management.Especially,the innovative financial sources could have some specific risk appetite due to the increasing return of invest-ment.Hence,it is important to uncover the risk factors of fintech investments and investigate the possible impacts with an integrated approach to the strategic priorities of fintech lending.Accordingly,this study aims to analyze a unique risk set and the stra-tegic priorities of fintech lending for clean energy projects.The most important contri-butions to the literature can be listed as to construct an impact-direction map of risk-based strategic priorities for fintech lending in clean energy projects and to measure the possible influences by using a hybrid decision making system with golden cut and bipolar q-rung orthopair fuzzy sets.The extension of multi stepwise weight assessment ratio analysis(M-SWARA)is applied for weighting the risk factors of fintech lending.The extension of elimination and choice translating reality(ELECTRE)is employed for con-structing and ranking the risk-based strategic priorities for clean energy projects.In this process,data is obtained with the evaluation of three different decision makers.The main superiority of the proposed model by comparing with the previous models in the literature is that significant improvements are made to the classical SWARA method so that a new technique is created with the name of M-SWARA.Hence,the causality analysis between the criteria can also be performed in this proposed model.The find-ings demonstrate that security is the most critical risk factor for fintech lending system.Moreover,volume is found as the most critical risk-based strategy for fintech lending.In this context,fintech companies need to take some precautions to effectively manage the security risk.For this purpose,the main risks to information technologies need to be clearly identified.Next,control steps should be put for these risks to be managed properly.Furthermore,it has been determined that the most appropriate strategy to increase the success of the fintech lending system is to increase the number of financi-ers integrated into the system.Within this framework,the platform should be secure and profitable to persuade financiers.展开更多
The study aims to investigate the financial technology(FinTech)factors influencing Chinese banking performance.Financial expectations and global realities may be changed by FinTech’s multidimensional scope,which is l...The study aims to investigate the financial technology(FinTech)factors influencing Chinese banking performance.Financial expectations and global realities may be changed by FinTech’s multidimensional scope,which is lacking in the traditional financial sector.The use of technology to automate financial services is becoming more important for economic organizations and industries because the digital age has seen a period of transition in terms of consumers and personalization.The future of FinTech will be shaped by technologies like the Internet of Things,blockchain,and artificial intelligence.The involvement of these platforms in financial services is a major concern for global business growth.FinTech is becoming more popular with customers because of such benefits.FinTech has driven a fundamental change within the financial services industry,placing the client at the center of everything.Protection has become a primary focus since data are a component of FinTech transactions.The task of consolidating research reports for consensus is very manual,as there is no standardized format.Although existing research has proposed certain methods,they have certain drawbacks in FinTech payment systems(including cryptocurrencies),credit markets(including peer-to-peer lending),and insurance systems.This paper implements blockchainbased financial technology for the banking sector to overcome these transition issues.In this study,we have proposed an adaptive neuro-fuzzy-based K-nearest neighbors’algorithm.The chaotic improved foraging optimization algorithm is used to optimize the proposed method.The rolling window autoregressive lag modeling approach analyzes FinTech growth.The proposed algorithm is compared with existing approaches to demonstrate its efficiency.The findings showed that it achieved 91%accuracy,90%privacy,96%robustness,and 25%cyber-risk performance.Compared with traditional approaches,the recommended strategy will be more convenient,safe,and effective in the transition period.展开更多
Introduction:Since 2015 is the year of FinTech in Taiwan,it is worth investigating the challenges that emerged when banks were encouraged to invest in FinTech companies for collaboration.This study aims to identify th...Introduction:Since 2015 is the year of FinTech in Taiwan,it is worth investigating the challenges that emerged when banks were encouraged to invest in FinTech companies for collaboration.This study aims to identify the strategic considerations in the process of searching for FinTech investment targets.Case description:This study used a case study investigation of a top-5 bank in Taiwan.The major data sources include the meeting notes of the FinTech investment task force and interviews with the team members.Co-opetition theory was adopted as the theoretical framework and interview questions were derived from the PARTS strategies in co-petition theory.The results relate to:(1)the strategic goals of FinTech investment,(2)the added value from FinTech companies,(3)criteria in selecting candidates in the same FinTech area,(4)choosing to work as either a cooperator or a competitor,and(5)barriers from policies and regulations.Discussion and evaluation:This study has several findings:(1)regulations and policies shape FinTech’s development;(2)banks,technology companies,and customers are not“FinTech ready;”(3)Compare top-down with bottom up strategies;(4)banks and FinTech companies have complex relationships;(5)it is unlikely that Taiwan will produce FinTech disruptors in the near future.Conclusion:The findings and discussion can benefit researchers and administrators in finance-related industries.More studies are desired to observe long-term development in terms of how companies collaborate or compete in specific FinTech areas.展开更多
At present,Chinese financial supervision departments are constrained by information asymmetry and higher supervision costs,so their effectiveness in the ever-changing financial supervision needs to be improved urgentl...At present,Chinese financial supervision departments are constrained by information asymmetry and higher supervision costs,so their effectiveness in the ever-changing financial supervision needs to be improved urgently.Based on the G-SIBs fintech index,this paper analyzes the scores of fintech r&d,promotion,application and other indicators,aiming to explain the necessity of fintech regulation,and puts forward measures to strengthen fintech regulation.展开更多
基金funded by the University of Seville under grant to the Research Group[SEJ-566].
文摘Digital innovation is challenging the traditional way of offering financial services to companies;the so-called Fintech phenomenon refers to startups that use the latest technologies to offer innovative financial services.Within the framework of the Theory of Planned Behavior(TPB)and the Theory of Reasoned Action(TRA),the primary purpose of this paper is to develop a causal-predictive analysis of the relationship between Subjective Norms,Attitudes,and Perceived Behavioral Control with the Intention to Use and Behavioral Use of the Fintech services by companies.Partial Least Squares Structural Equation Modeling methodology was used with data collected from a survey of 300 companies.Our findings support the TRA and TPB models and confirm their robustness in predicting companies’intention and use of Fintech services.Financial technology innovators must understand the processes involved in users’adoption to design sound strategies that increase the viability of their services.Studying the antecedents of behavioral intention to adopt Fintech services can greatly help understand the pace of adoption,allowing these players to attract and retain customers better.This study contributes to the literature by formulating and validating TPB to predict Fintech adoption,and its findings provide useful information for banks and Fintech companies and lead to an improvement in organizational performance management in formulating marketing strategies.
文摘This study aimed to evaluate the components of a fintech ecosystem for distributed energy investments.A new decision-making model was created using multiple stepwise weight assessment ratio analysis and elimination and choice translating reality techniques based on quantum spherical fuzzy sets.First,in this model,the criteria for distributed energy investment necessities were weighted.Second,we ranked the components of the fintech ecosystem for distributed energy investments.The main contribution of this study is that appropriate strategies can be presented to design effective fintech ecosystems to increase distributed energy investments,by considering an original fuzzy decision-making model.Capacity is the most critical issue with respect to distributed energy investment necessities because it has the greatest weight(0.261).Pricing is another significant factor for this condition,with a weight of 0.254.Results of the ranking of the components of the fintech ecosystem indicate that end users are of the greatest importance for the effectiveness of this system.It is necessary to develop new techniques for the energy storage process,especially with technological developments,to prevent disruptions in energy production capacity.In addition,customers’expectations should be considered for the development of effective and user-friendly financial products that are preferred by a wider audience.This would have a positive effect on fintech ecosystem performance.
基金was the Key Scientific Research Project of Colleges and Universities in Henan Province“Research on the key role of Investment in the Optimization and upgrading of Industrial structure in Henan Province”(22A790014)National scientific research project cultivation fund project"Research on the Endogenous Mechanism,Performance Evaluation and Optimization Path of Science and Technology Finance Boosting China’s High quality Economic Development"(XKPY-2022030).
文摘In the last decade,the risk evaluation and the investment decision are among the most prominent issues of efficient project management.Especially,the innovative financial sources could have some specific risk appetite due to the increasing return of invest-ment.Hence,it is important to uncover the risk factors of fintech investments and investigate the possible impacts with an integrated approach to the strategic priorities of fintech lending.Accordingly,this study aims to analyze a unique risk set and the stra-tegic priorities of fintech lending for clean energy projects.The most important contri-butions to the literature can be listed as to construct an impact-direction map of risk-based strategic priorities for fintech lending in clean energy projects and to measure the possible influences by using a hybrid decision making system with golden cut and bipolar q-rung orthopair fuzzy sets.The extension of multi stepwise weight assessment ratio analysis(M-SWARA)is applied for weighting the risk factors of fintech lending.The extension of elimination and choice translating reality(ELECTRE)is employed for con-structing and ranking the risk-based strategic priorities for clean energy projects.In this process,data is obtained with the evaluation of three different decision makers.The main superiority of the proposed model by comparing with the previous models in the literature is that significant improvements are made to the classical SWARA method so that a new technique is created with the name of M-SWARA.Hence,the causality analysis between the criteria can also be performed in this proposed model.The find-ings demonstrate that security is the most critical risk factor for fintech lending system.Moreover,volume is found as the most critical risk-based strategy for fintech lending.In this context,fintech companies need to take some precautions to effectively manage the security risk.For this purpose,the main risks to information technologies need to be clearly identified.Next,control steps should be put for these risks to be managed properly.Furthermore,it has been determined that the most appropriate strategy to increase the success of the fintech lending system is to increase the number of financi-ers integrated into the system.Within this framework,the platform should be secure and profitable to persuade financiers.
基金from funding agencies in the public,commercial,or not-for-profit sectors.
文摘The study aims to investigate the financial technology(FinTech)factors influencing Chinese banking performance.Financial expectations and global realities may be changed by FinTech’s multidimensional scope,which is lacking in the traditional financial sector.The use of technology to automate financial services is becoming more important for economic organizations and industries because the digital age has seen a period of transition in terms of consumers and personalization.The future of FinTech will be shaped by technologies like the Internet of Things,blockchain,and artificial intelligence.The involvement of these platforms in financial services is a major concern for global business growth.FinTech is becoming more popular with customers because of such benefits.FinTech has driven a fundamental change within the financial services industry,placing the client at the center of everything.Protection has become a primary focus since data are a component of FinTech transactions.The task of consolidating research reports for consensus is very manual,as there is no standardized format.Although existing research has proposed certain methods,they have certain drawbacks in FinTech payment systems(including cryptocurrencies),credit markets(including peer-to-peer lending),and insurance systems.This paper implements blockchainbased financial technology for the banking sector to overcome these transition issues.In this study,we have proposed an adaptive neuro-fuzzy-based K-nearest neighbors’algorithm.The chaotic improved foraging optimization algorithm is used to optimize the proposed method.The rolling window autoregressive lag modeling approach analyzes FinTech growth.The proposed algorithm is compared with existing approaches to demonstrate its efficiency.The findings showed that it achieved 91%accuracy,90%privacy,96%robustness,and 25%cyber-risk performance.Compared with traditional approaches,the recommended strategy will be more convenient,safe,and effective in the transition period.
文摘Introduction:Since 2015 is the year of FinTech in Taiwan,it is worth investigating the challenges that emerged when banks were encouraged to invest in FinTech companies for collaboration.This study aims to identify the strategic considerations in the process of searching for FinTech investment targets.Case description:This study used a case study investigation of a top-5 bank in Taiwan.The major data sources include the meeting notes of the FinTech investment task force and interviews with the team members.Co-opetition theory was adopted as the theoretical framework and interview questions were derived from the PARTS strategies in co-petition theory.The results relate to:(1)the strategic goals of FinTech investment,(2)the added value from FinTech companies,(3)criteria in selecting candidates in the same FinTech area,(4)choosing to work as either a cooperator or a competitor,and(5)barriers from policies and regulations.Discussion and evaluation:This study has several findings:(1)regulations and policies shape FinTech’s development;(2)banks,technology companies,and customers are not“FinTech ready;”(3)Compare top-down with bottom up strategies;(4)banks and FinTech companies have complex relationships;(5)it is unlikely that Taiwan will produce FinTech disruptors in the near future.Conclusion:The findings and discussion can benefit researchers and administrators in finance-related industries.More studies are desired to observe long-term development in terms of how companies collaborate or compete in specific FinTech areas.
文摘At present,Chinese financial supervision departments are constrained by information asymmetry and higher supervision costs,so their effectiveness in the ever-changing financial supervision needs to be improved urgently.Based on the G-SIBs fintech index,this paper analyzes the scores of fintech r&d,promotion,application and other indicators,aiming to explain the necessity of fintech regulation,and puts forward measures to strengthen fintech regulation.
