Pub Date : 2024-01-21DOI: 10.1186/s40854-023-00541-y
Serkan Eti, Hasan Dinçer, Hasan Meral, Serhat Yüksel, Yaşar Gökalp
The purpose of this study is to determine the essential indicators to improve insurtech systems and select the most critical alternative to increase insurtech-based investments in European countries. A novel fuzzy decision-making model is generated by integrating entropy and additive ratio assessment (ARAS) techniques with spherical fuzzy sets. First, the indicators are weighted using spherical fuzzy entropy. Then, the alternatives are ranked using spherical fuzzy ARAS. The alternatives are also ranked with the spherical fuzzy technique for order of preference by similarity to the ideal solution methodology. The main contribution of this study is that it would help investors to take the right actions to increase the performance of insurtech investments without incurring high costs. Another important novelty is that a new fuzzy decision-making model is proposed to solve this problem. The results of the two models are quite similar, proving the validity and coherency of the findings. It is found that pricing is the most critical factor that affects the performance of insurtech investments. Insurtech companies are required to make accurate pricing by conducting risk analyses to increase their profits and minimize their risks. Additionally, according to the ranking results, big data are the most appropriate way to improve the performance of insurtech investments in Europe. Big data analytics helps companies learn more about the behavior of their customers. By analyzing data about their customers’ past transactions, companies can provide more convenient services to them. This would increase customer satisfaction and enable companies to achieve long-term customer loyalty.
本研究的目的是确定改进保险科技系统的基本指标，并选择最关键的备选方案，以增加欧洲国家基于保险科技的投资。通过将熵和加法比率评估（ARAS）技术与球形模糊集相结合，建立了一个新颖的模糊决策模型。首先，使用球形模糊熵对指标进行加权。然后，使用球形模糊 ARAS 对备选方案进行排序。此外，还利用球形模糊技术，通过与理想解决方案方法的相似性对备选方案进行优先排序。本研究的主要贡献在于，它有助于投资者采取正确的行动，在不付出高昂成本的情况下提高保险科技投资的绩效。另一个重要的新颖之处在于提出了一个新的模糊决策模型来解决这一问题。两个模型的结果非常相似，证明了研究结果的有效性和一致性。研究发现，定价是影响保险科技投资绩效的最关键因素。保险科技公司需要通过进行风险分析来准确定价，以增加利润并将风险降至最低。此外，根据排名结果，大数据是提高欧洲保险科技投资绩效的最合适方式。大数据分析可以帮助公司更多地了解客户的行为。通过分析客户过去的交易数据，公司可以为客户提供更便捷的服务。这将提高客户满意度，使公司获得长期的客户忠诚度。
{"title":"Insurtech in Europe: identifying the top investment priorities for driving innovation","authors":"Serkan Eti, Hasan Dinçer, Hasan Meral, Serhat Yüksel, Yaşar Gökalp","doi":"10.1186/s40854-023-00541-y","DOIUrl":"https://doi.org/10.1186/s40854-023-00541-y","url":null,"abstract":"The purpose of this study is to determine the essential indicators to improve insurtech systems and select the most critical alternative to increase insurtech-based investments in European countries. A novel fuzzy decision-making model is generated by integrating entropy and additive ratio assessment (ARAS) techniques with spherical fuzzy sets. First, the indicators are weighted using spherical fuzzy entropy. Then, the alternatives are ranked using spherical fuzzy ARAS. The alternatives are also ranked with the spherical fuzzy technique for order of preference by similarity to the ideal solution methodology. The main contribution of this study is that it would help investors to take the right actions to increase the performance of insurtech investments without incurring high costs. Another important novelty is that a new fuzzy decision-making model is proposed to solve this problem. The results of the two models are quite similar, proving the validity and coherency of the findings. It is found that pricing is the most critical factor that affects the performance of insurtech investments. Insurtech companies are required to make accurate pricing by conducting risk analyses to increase their profits and minimize their risks. Additionally, according to the ranking results, big data are the most appropriate way to improve the performance of insurtech investments in Europe. Big data analytics helps companies learn more about the behavior of their customers. By analyzing data about their customers’ past transactions, companies can provide more convenient services to them. This would increase customer satisfaction and enable companies to achieve long-term customer loyalty.","PeriodicalId":37175,"journal":{"name":"Financial Innovation","volume":null,"pages":null},"PeriodicalIF":8.4,"publicationDate":"2024-01-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139509257","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-01-21DOI: 10.1186/s40854-023-00545-8
Noha Emara, Daniela Zecheru
This paper analyzes the dynamic asymmetric effects of digitization on domestic inflation for a sample of 54 advanced economies (AEs) and emerging markets (EMs) over the period 2004–2018. Using Katz and Calorda’s Digital Ecosystem Development Index and employing the system Generalized Method of Moments (GMM) estimation methodology, the results of the paper reveal that the improvement in digitization has a statistically significant nonlinear deflationary effect with an exact threshold level of 43.22 points, that is, that the marginal effect of the digital penetration is larger when its level is lower than the threshold level. For EMs, with a level of digitization below the average of our full sample, policymakers must continue to invest in and expand on their digital ecosystem until the threshold level is achieved. Our results show that investment in human capital and improvement in governance can reinforce these deflationary effects. Hence, to obtain the maximum positive impact of increasing digitization on domestic inflation, EM governments should focus on maximizing school enrollment, controlling corruption, establishing rule of law, protecting the right to freedom of opinion and expression, and implementing accountability measures.
{"title":"Asymmetric threshold effects of digitization on inflation in emerging markets","authors":"Noha Emara, Daniela Zecheru","doi":"10.1186/s40854-023-00545-8","DOIUrl":"https://doi.org/10.1186/s40854-023-00545-8","url":null,"abstract":"This paper analyzes the dynamic asymmetric effects of digitization on domestic inflation for a sample of 54 advanced economies (AEs) and emerging markets (EMs) over the period 2004–2018. Using Katz and Calorda’s Digital Ecosystem Development Index and employing the system Generalized Method of Moments (GMM) estimation methodology, the results of the paper reveal that the improvement in digitization has a statistically significant nonlinear deflationary effect with an exact threshold level of 43.22 points, that is, that the marginal effect of the digital penetration is larger when its level is lower than the threshold level. For EMs, with a level of digitization below the average of our full sample, policymakers must continue to invest in and expand on their digital ecosystem until the threshold level is achieved. Our results show that investment in human capital and improvement in governance can reinforce these deflationary effects. Hence, to obtain the maximum positive impact of increasing digitization on domestic inflation, EM governments should focus on maximizing school enrollment, controlling corruption, establishing rule of law, protecting the right to freedom of opinion and expression, and implementing accountability measures.","PeriodicalId":37175,"journal":{"name":"Financial Innovation","volume":null,"pages":null},"PeriodicalIF":8.4,"publicationDate":"2024-01-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139509071","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-01-20DOI: 10.1186/s40854-023-00533-y
Ine van Zeeland, Jo Pierson
{"title":"Changing the whole game: effects of the COVID-19 pandemic's accelerated digitalization on European bank staff's data protection capabilities","authors":"Ine van Zeeland, Jo Pierson","doi":"10.1186/s40854-023-00533-y","DOIUrl":"https://doi.org/10.1186/s40854-023-00533-y","url":null,"abstract":"","PeriodicalId":37175,"journal":{"name":"Financial Innovation","volume":null,"pages":null},"PeriodicalIF":8.4,"publicationDate":"2024-01-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139524105","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-01-20DOI: 10.1186/s40854-023-00543-w
F. Ecer, Tolga Murat, H. Di̇nçer, Serhat Yüksel
{"title":"A fuzzy BWM and MARCOS integrated framework with Heronian function for evaluating cryptocurrency exchanges: a case study of Türkiye","authors":"F. Ecer, Tolga Murat, H. Di̇nçer, Serhat Yüksel","doi":"10.1186/s40854-023-00543-w","DOIUrl":"https://doi.org/10.1186/s40854-023-00543-w","url":null,"abstract":"","PeriodicalId":37175,"journal":{"name":"Financial Innovation","volume":null,"pages":null},"PeriodicalIF":8.4,"publicationDate":"2024-01-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139524630","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-01-19DOI: 10.1186/s40854-023-00542-x
Saif Ullah, Atta Ullah, Mubasher Zaman
The study aims to explore the impact of governance and macroeconomic conditions on financial stability in developed and emerging countries. The study sample comprised 122 countries from 2013 to 2020, and a comprehensive set of variables was used to construct the financial stability index (FSI). The results of the two-step system GMM analysis, robust with D–K regression, indicate that interest rate, GDP growth, voice and accountability, political stability and absence of violence/terrorism, government effectiveness, regulatory quality, and control of corruption have a positive and statistically significant impact on financial stability. However, inflation, money supply, and the rule of law have adverse and insignificant effects on financial stability. Notably, the findings vary between developed and emerging countries due to differences in governance and macroeconomic conditions and their role in financial stability. The study concludes that regulatory governance and macroeconomic conditions are crucial for financial stability. These outcomes are significant for central banks, academia, and policymakers, as they emphasize the need for stable financial systems and sustainable, balanced growth through governance and macroeconomic conditions.
{"title":"Nexus of governance, macroeconomic conditions, and financial stability of banks: a comparison of developed and emerging countries","authors":"Saif Ullah, Atta Ullah, Mubasher Zaman","doi":"10.1186/s40854-023-00542-x","DOIUrl":"https://doi.org/10.1186/s40854-023-00542-x","url":null,"abstract":"The study aims to explore the impact of governance and macroeconomic conditions on financial stability in developed and emerging countries. The study sample comprised 122 countries from 2013 to 2020, and a comprehensive set of variables was used to construct the financial stability index (FSI). The results of the two-step system GMM analysis, robust with D–K regression, indicate that interest rate, GDP growth, voice and accountability, political stability and absence of violence/terrorism, government effectiveness, regulatory quality, and control of corruption have a positive and statistically significant impact on financial stability. However, inflation, money supply, and the rule of law have adverse and insignificant effects on financial stability. Notably, the findings vary between developed and emerging countries due to differences in governance and macroeconomic conditions and their role in financial stability. The study concludes that regulatory governance and macroeconomic conditions are crucial for financial stability. These outcomes are significant for central banks, academia, and policymakers, as they emphasize the need for stable financial systems and sustainable, balanced growth through governance and macroeconomic conditions.","PeriodicalId":37175,"journal":{"name":"Financial Innovation","volume":null,"pages":null},"PeriodicalIF":8.4,"publicationDate":"2024-01-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139514786","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-01-18DOI: 10.1186/s40854-023-00529-8
Ye Liu, Ke Zhang, Weili Xue, Ziyu Zhou
Crowdfunding provides a novel and potential way for innovative but risky new ventures to fund their new product development (NPD) projects. To help potential investors evaluate the projects and enhance the credibility of disclosure, founders are struggling with how to phrase the project description. The rapidly growing cleantech crowdfunding projects provide an ideal context to study this issue. We collected information on cleantech crowdfunding projects and matched non-cleantech crowdfunding projects from Kickstarter. The sample period extends from January 2013 to October 2018. Using signaling research as a theoretical lens and a dictionary-based, computerized text mining method, we found that founders of high-quality cleantech crowdfunding projects could create a reliable signal of quality by providing a project description with a less ambiguous tone and thus boost the success of crowdfunding. Moreover, the signaling effectiveness of a less ambiguous tone is more pronounced in cleantech crowdfunding than in matched non-cleantech crowdfunding, suggesting that the marginal benefit of using a less ambiguous tone is larger when the industry information environment is noisier. Further evidence shows that the signaling effectiveness of a less ambiguous tone in cleantech crowdfunding could be strengthened by backers’ endorsements. Our findings imply that tone ambiguity in project descriptions is related to founders’ information-concealing behavior. Potential investors could search ambiguous words in project descriptions and just allocate their limited attention into projects with a low percentage of ambiguous words to avoid information overload. Founders of high-quality projects could boost crowdfunding success by using a less ambiguous tone to describe their projects. The marginal effect is larger when there is greater uncertainty about project prospects.
{"title":"Crowdfunding innovative but risky new ventures: the importance of less ambiguous tone","authors":"Ye Liu, Ke Zhang, Weili Xue, Ziyu Zhou","doi":"10.1186/s40854-023-00529-8","DOIUrl":"https://doi.org/10.1186/s40854-023-00529-8","url":null,"abstract":"Crowdfunding provides a novel and potential way for innovative but risky new ventures to fund their new product development (NPD) projects. To help potential investors evaluate the projects and enhance the credibility of disclosure, founders are struggling with how to phrase the project description. The rapidly growing cleantech crowdfunding projects provide an ideal context to study this issue. We collected information on cleantech crowdfunding projects and matched non-cleantech crowdfunding projects from Kickstarter. The sample period extends from January 2013 to October 2018. Using signaling research as a theoretical lens and a dictionary-based, computerized text mining method, we found that founders of high-quality cleantech crowdfunding projects could create a reliable signal of quality by providing a project description with a less ambiguous tone and thus boost the success of crowdfunding. Moreover, the signaling effectiveness of a less ambiguous tone is more pronounced in cleantech crowdfunding than in matched non-cleantech crowdfunding, suggesting that the marginal benefit of using a less ambiguous tone is larger when the industry information environment is noisier. Further evidence shows that the signaling effectiveness of a less ambiguous tone in cleantech crowdfunding could be strengthened by backers’ endorsements. Our findings imply that tone ambiguity in project descriptions is related to founders’ information-concealing behavior. Potential investors could search ambiguous words in project descriptions and just allocate their limited attention into projects with a low percentage of ambiguous words to avoid information overload. Founders of high-quality projects could boost crowdfunding success by using a less ambiguous tone to describe their projects. The marginal effect is larger when there is greater uncertainty about project prospects.","PeriodicalId":37175,"journal":{"name":"Financial Innovation","volume":null,"pages":null},"PeriodicalIF":8.4,"publicationDate":"2024-01-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139495698","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-01-17DOI: 10.1186/s40854-023-00527-w
David Iheke Okorie, Boqiang Lin
Global shocks potentially distort economy’s achieved equilibria. Considering the 2020 global crude oil price shock and the 2019 coronavirus disease pandemic, this study proposes an energy and environment integrated general equilibrium model to analyze the economic, energy, and environmental effects of these global shocks on Nigeria, a developing, oil-producing, oil-dependent, and oil-exporting country. Furthermore, the mitigating roles of a fiscal stimulus–response package (palliative) are investigated and analyzed. Generally, the developed model predicts a decline in the level of economic activities. The study results are unsurprising due to Nigeria’s heavy reliance on crude oil. However, sectorial-specific impacts exist as some sectors experience output declines while others do not. Environmental quality is improved since more carbon is abated, nonetheless. Carbon intensities increased given that the price effects outweighed the quantity effects— reduced emission results from reduced economic activities and not from technological progress. The results further show a revenue-abatement paradox; a fixed carbon tax approach minimizes the tax revenue loss but may discourage carbon abatement. Conversely, the ad valorem and specific carbon tax systems encourage carbon abatement but reduce carbon tax revenues. The government’s fiscal policy stimulus–response (palliative) action dampens the impact of these global shocks on both the domestic agents and the overall economy. The results are robust and can be applied to the experiences of other developing oil-producing, oil-exporting, and oil-dependent economies.
{"title":"Global shocks and fiscal stimulus: a tale of an oil-dependent-exporting country","authors":"David Iheke Okorie, Boqiang Lin","doi":"10.1186/s40854-023-00527-w","DOIUrl":"https://doi.org/10.1186/s40854-023-00527-w","url":null,"abstract":"Global shocks potentially distort economy’s achieved equilibria. Considering the 2020 global crude oil price shock and the 2019 coronavirus disease pandemic, this study proposes an energy and environment integrated general equilibrium model to analyze the economic, energy, and environmental effects of these global shocks on Nigeria, a developing, oil-producing, oil-dependent, and oil-exporting country. Furthermore, the mitigating roles of a fiscal stimulus–response package (palliative) are investigated and analyzed. Generally, the developed model predicts a decline in the level of economic activities. The study results are unsurprising due to Nigeria’s heavy reliance on crude oil. However, sectorial-specific impacts exist as some sectors experience output declines while others do not. Environmental quality is improved since more carbon is abated, nonetheless. Carbon intensities increased given that the price effects outweighed the quantity effects— reduced emission results from reduced economic activities and not from technological progress. The results further show a revenue-abatement paradox; a fixed carbon tax approach minimizes the tax revenue loss but may discourage carbon abatement. Conversely, the ad valorem and specific carbon tax systems encourage carbon abatement but reduce carbon tax revenues. The government’s fiscal policy stimulus–response (palliative) action dampens the impact of these global shocks on both the domestic agents and the overall economy. The results are robust and can be applied to the experiences of other developing oil-producing, oil-exporting, and oil-dependent economies.","PeriodicalId":37175,"journal":{"name":"Financial Innovation","volume":null,"pages":null},"PeriodicalIF":8.4,"publicationDate":"2024-01-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139482640","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-01-17DOI: 10.1186/s40854-023-00525-y
George Vlahavas, Kostas Karasavvas, Athena Vakali
Since its inception in 2009, Bitcoin has become and is currently the most successful and widely used cryptocurrency. It introduced blockchain technology, which allows transactions that transfer funds between users to take place online, in an immutable manner. No real-world identities are needed or stored in the blockchain. At the same time, all transactions are publicly available and auditable, making Bitcoin a pseudo-anonymous ledger of transactions. The volume of transactions that are broadcast on a daily basis is considerably large. We propose a set of features that can be extracted from transaction data. Using this, we apply a data processing pipeline to ultimately cluster transactions via a k-means clustering algorithm, according to the transaction properties. Finally, according to these properties, we are able to characterize these clusters and the transactions they include. Our work mainly differentiates from previous studies in that it applies an unsupervised learning method to cluster transactions instead of addresses. Using the novel features we introduce, our work classifies transactions in multiple clusters, while previous studies only attempt binary classification. Results indicate that most transactions fall into a cluster that can be described as common user transactions. Other clusters include transactions made by online exchanges and lending services, those relating to mining activities as well as smaller clusters, one of which contains possibly illicit or fraudulent transactions. We evaluated our results against an online database of addresses that belong to known actors, such as online exchanges, and found that our results generally agree with them, which enhances the validity of our methods.
{"title":"Unsupervised clustering of bitcoin transactions","authors":"George Vlahavas, Kostas Karasavvas, Athena Vakali","doi":"10.1186/s40854-023-00525-y","DOIUrl":"https://doi.org/10.1186/s40854-023-00525-y","url":null,"abstract":"Since its inception in 2009, Bitcoin has become and is currently the most successful and widely used cryptocurrency. It introduced blockchain technology, which allows transactions that transfer funds between users to take place online, in an immutable manner. No real-world identities are needed or stored in the blockchain. At the same time, all transactions are publicly available and auditable, making Bitcoin a pseudo-anonymous ledger of transactions. The volume of transactions that are broadcast on a daily basis is considerably large. We propose a set of features that can be extracted from transaction data. Using this, we apply a data processing pipeline to ultimately cluster transactions via a k-means clustering algorithm, according to the transaction properties. Finally, according to these properties, we are able to characterize these clusters and the transactions they include. Our work mainly differentiates from previous studies in that it applies an unsupervised learning method to cluster transactions instead of addresses. Using the novel features we introduce, our work classifies transactions in multiple clusters, while previous studies only attempt binary classification. Results indicate that most transactions fall into a cluster that can be described as common user transactions. Other clusters include transactions made by online exchanges and lending services, those relating to mining activities as well as smaller clusters, one of which contains possibly illicit or fraudulent transactions. We evaluated our results against an online database of addresses that belong to known actors, such as online exchanges, and found that our results generally agree with them, which enhances the validity of our methods.","PeriodicalId":37175,"journal":{"name":"Financial Innovation","volume":null,"pages":null},"PeriodicalIF":8.4,"publicationDate":"2024-01-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139482448","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-01-16DOI: 10.1186/s40854-023-00524-z
Qianhua Liu, Ka-Ching Chan, Ranga Chimhundu
This systematic mapping study provides a comprehensive review of current Fintech publications, analyzing the current state, maturity level, and future directions of Fintech research. Reviewing 518 Fintech articles across four academic databases from 2008 to 2021, we find a significant increase in Fintech studies, especially in Quartile 1 and Quartile 2 journals. Fintech and banking, Fintech development, and Fintech adoption are the most popular research areas, and articles in these areas are increasing. We propose a classification scheme for Fintech studies across five dimensions. Our study provides a unique perspective on the subject, enabling researchers and practitioners to re-evaluate the direction and scope of future Fintech research.
{"title":"Fintech research: systematic mapping, classification, and future directions","authors":"Qianhua Liu, Ka-Ching Chan, Ranga Chimhundu","doi":"10.1186/s40854-023-00524-z","DOIUrl":"https://doi.org/10.1186/s40854-023-00524-z","url":null,"abstract":"This systematic mapping study provides a comprehensive review of current Fintech publications, analyzing the current state, maturity level, and future directions of Fintech research. Reviewing 518 Fintech articles across four academic databases from 2008 to 2021, we find a significant increase in Fintech studies, especially in Quartile 1 and Quartile 2 journals. Fintech and banking, Fintech development, and Fintech adoption are the most popular research areas, and articles in these areas are increasing. We propose a classification scheme for Fintech studies across five dimensions. Our study provides a unique perspective on the subject, enabling researchers and practitioners to re-evaluate the direction and scope of future Fintech research.","PeriodicalId":37175,"journal":{"name":"Financial Innovation","volume":null,"pages":null},"PeriodicalIF":8.4,"publicationDate":"2024-01-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139476568","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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