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FinTech, Volume 2, Issue 3 (September 2023) – 16 articles

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11 pages, 980 KiB  
Article
Customers’ Satisfaction of E-Banking in Bangladesh: Do Service Quality and Customers’ Experiences Matter?
by Md. Abdul Bashir, Md. Alaul Haque, Aidin Salamzadeh and Md. Mizanur Rahman
FinTech 2023, 2(3), 657-667; https://doi.org/10.3390/fintech2030036 - 13 Sep 2023
Viewed by 2879
Abstract
The banking sectors are optimistic that electronic banking (E-banking) will help them provide better customer service and strengthen customer relationships. Despite this, a relatively low priority has been given to the level of satisfaction that E-banking users in Bangladesh have regarding the quality [...] Read more.
The banking sectors are optimistic that electronic banking (E-banking) will help them provide better customer service and strengthen customer relationships. Despite this, a relatively low priority has been given to the level of satisfaction that E-banking users in Bangladesh have regarding the quality of the services they receive and their overall experiences. Consequently, this study aims to determine the effect of service quality and customer experiences on the level of satisfaction perceived by E-banking customers in Bangladesh. Using a convenience sampling technique and a self-administered questionnaire, we gathered data from 315 E-banking customers. The independent variable (service quality and customer experience) and dependent variable (customer satisfaction) on a five-point “Likert-Type Scale” explain the degree to which participants agree or disagree with the questionnaire’s statements. Covariance-based structural equation modeling (CB-SEM) was utilised to analyse the gathered data. The findings of this study indicate that service quality and customer experience significantly positively affect E-banking customer satisfaction in Bangladesh. The outcomes of this study will urge the banking authorities to prioritize service quality to boost customer satisfaction by suggesting several steps to improve the efficiency, effectiveness, and security of the E-banking system. Full article
(This article belongs to the Special Issue Corporate Governance, Digital and Money Economy)
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16 pages, 3264 KiB  
Article
Prospective Areas of Digital Economy in the Context of ICT Usages: An Empirical Study in Bangladesh
by Mohammad Rakibul Islam Bhuiyan, K. M. Salah Uddin and Md Noor Uddin Milon
FinTech 2023, 2(3), 641-656; https://doi.org/10.3390/fintech2030035 - 09 Sep 2023
Viewed by 1578
Abstract
The objective of this study is to assess the current and future potential of the digital economy in Bangladesh, with the goal of fostering national development and prosperity by the year 2041. Concurrently, this study examines the various aspects of the digital economy [...] Read more.
The objective of this study is to assess the current and future potential of the digital economy in Bangladesh, with the goal of fostering national development and prosperity by the year 2041. Concurrently, this study examines the various aspects of the digital economy through the lens of the Fourth Industrial Revolution and emerging technologies, specifically focusing on the utilization of information and communication technology (ICT) in Bangladesh. The methodology section employs a qualitative approach to ascertain the research objectives, utilizing secondary data. The purpose of this study is to provide an overview of the contemporary status of the digital economy, focusing on emerging trends that have a significant impact on the national gross domestic product (GDP). Companies and individuals possess an understanding of the digital economy, which has the potential to mitigate the digital divide and establish a robust connection between technology and the economy. The research contributes to a more thorough understanding that Bangladesh is ranked 40th out of 193 nations at present; with the advancement of the digital economy, it will move up to 24th place in 2034. Future research can perhaps be expanded by adopting a qualitative methodology to explore the concept of a smart Bangladesh. Full article
(This article belongs to the Special Issue Corporate Governance, Digital and Money Economy)
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27 pages, 862 KiB  
Article
Incorporating Climate Risk into Credit Risk Modeling: An Application in Housing Finance
by Alexandra Lefevre and Agnes Tourin
FinTech 2023, 2(3), 614-640; https://doi.org/10.3390/fintech2030034 - 07 Sep 2023
Viewed by 1429
Abstract
This paper examines the integration of climate risks into structural credit risk models. We focus on applications in housing finance and argue that mortgage defaults due to climate disasters have different statistical features than default due to household-specific reasons. We propose two models [...] Read more.
This paper examines the integration of climate risks into structural credit risk models. We focus on applications in housing finance and argue that mortgage defaults due to climate disasters have different statistical features than default due to household-specific reasons. We propose two models incorporating climate risk based on two separate default definitions. The first focuses on default as a response to a decrease in home value, and the second defines default as a consequence of missed mortgage payments. Using mortgage performance data during Hurricane Harvey, we conduct an empirical study whose results suggest that climate events are potentially another source of undiversifiable credit risk affecting homeowners’ ability to make contractual monthly payments. We also show that incorporating this climate-specific default process may capture additional uncertainty in default probability assessments. Full article
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42 pages, 3413 KiB  
Article
The Study of the Relationship among GCI, GII, Disruptive Technology, and Social Innovations in MNCs: How Do We Evaluate Financial Innovations Made by Firms? A Preliminary Inquiry
by Aurel Burciu, Rozalia Kicsi, Simona Buta, Mihaela State, Iulia Burlac, Denisa Alexandra Chifan and Beatrice Ipsalat
FinTech 2023, 2(3), 572-613; https://doi.org/10.3390/fintech2030033 - 28 Aug 2023
Cited by 1 | Viewed by 1656
Abstract
This study aims to assess and identify the role of disruptive/digital technologies in financial innovation strategies as part of social innovations at both the firm and country level. The analysis proposed by the present study brings useful theoretical/pragmatic insights on the application of [...] Read more.
This study aims to assess and identify the role of disruptive/digital technologies in financial innovation strategies as part of social innovations at both the firm and country level. The analysis proposed by the present study brings useful theoretical/pragmatic insights on the application of financial technologies in the context of the “fintech” revolution, as a disruptive innovation. There are few studies of this type that “cross-examine” technical/social innovative capacity at the firm level vs. the same innovative capacity at the level of the world’s major countries. Our proposed study brings some novel elements to the literature on this topic. First, the study synthesizes the factors/variables explaining technical/social innovative capacity as ranked by the GCI (Global Competitiveness Index) and GII (Global Innovation Index) at the country level and then correlates informal/empirical variables with the factors explaining innovative capacity for the 50 companies in the BCG (Boston Consulting Group) ranking. Second, the study identifies three “driving forces” (digital technologies, managers, and the market) as the main variables determining financial innovativeness (fintech revolution) at the firm level. Third, based on the “over-cross assessment” (non- statistical) of the information/data provided by the BCG study vs. the GII and GCI studies, the study suggests some ways to delineate and quantify financial innovation as part of social innovation (e.g., it is argued that up to 80% of the social innovation achieved annually by a firm relates to the financial relationships engaged by the firm with various categories of stakeholders). Finally, the study is also important from a pragmatic point of view as it suggests/proposes a number of principles that can be considered by managers for building a KM (knowledge management) and continuous financial innovation strategy. From a theoretical perspective, the study provides a starting point for further research aimed at explaining firm-level financial innovation (fintech as a disruptor) through the massive use of disruptive technologies. Full article
(This article belongs to the Special Issue Financial Technology and Innovation Sustainable Development)
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12 pages, 576 KiB  
Article
Validation of Challenges for the Development of the Marketing Plan for Startups Considering the Post-COVID-19 Reality: An Exploratory Analysis of the Brazilian Context Using Lawshe’s Method
by Ana Carla Magalhães Nascimento, Nathália de Kassia Galdino Oliveira, Verônica de Menezes Nascimento Nagata, Reimison Moreira Fernandes and Vitor William Batista Martins
FinTech 2023, 2(3), 560-571; https://doi.org/10.3390/fintech2030032 - 20 Aug 2023
Viewed by 1000
Abstract
Background: The post-COVID-19 scenario has demonstrated the increasing importance of marketing for organizations, as retailers and entrepreneurs have had to adapt to new ways of selling their products and services. In this regard, this research aimed to identify challenges for developing the marketing [...] Read more.
Background: The post-COVID-19 scenario has demonstrated the increasing importance of marketing for organizations, as retailers and entrepreneurs have had to adapt to new ways of selling their products and services. In this regard, this research aimed to identify challenges for developing the marketing plan of startups and validate them from the perspective of managers in the field, considering the market characteristics inherent to the post-COVID-19 era; Methods: To achieve this, a literature review and a survey were conducted among professionals in the field. The collected data were analyzed using the quantitative Lawshe method. Results: The results indicate that, for the development of the marketing plan of startups considering the post-COVID-19 reality, it is important to prioritize overcoming the challenges of “Consumer behavior pattern change”, “Differentiation from the competition”, “Digital expansion”, “Innovation capacity of companies”, “Creation of transformative marketing”, and “Reevaluation of marketing channels in the post-pandemic period”; Conclusions: Therefore, it can be concluded that these challenges reflect the main concerns and obstacles faced by startups in building effective marketing strategies and striving for a competitive position in the market. By recognizing and understanding these challenges, startups will be better prepared to face adversity and seize opportunities in this new market context. Full article
(This article belongs to the Special Issue Research on Corporate Finance and Financial Economics)
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17 pages, 665 KiB  
Review
Recognition and Measurement of Crypto-Assets from the Perspective of Retail Holders
by Voicu D. Dragomir and Valentin Florentin Dumitru
FinTech 2023, 2(3), 543-559; https://doi.org/10.3390/fintech2030031 - 17 Aug 2023
Cited by 1 | Viewed by 1769
Abstract
The Markets in Crypto-Assets (MiCa) Regulation of the European Union is the first comprehensive piece of legislation that seeks to protect the interests of investors in the crypto-assets sector. Although the market value of crypto-assets is significant at world level, there is a [...] Read more.
The Markets in Crypto-Assets (MiCa) Regulation of the European Union is the first comprehensive piece of legislation that seeks to protect the interests of investors in the crypto-assets sector. Although the market value of crypto-assets is significant at world level, there is a lack of clear regulatory guidelines regarding the recognition, measurement, and presentation of crypto-assets in the financial statements of investors. Considering that not all digital assets are the same, retail holders need to take into account the characteristics, rights, and obligations associated with the crypto-assets they purchase to determine the appropriate accounting method. Therefore, the research question of the present article is: Which are the main types of crypto-assets and how should they be recognized and measured in the financial statements of investors and holders? We perform a review of the accounting policies and options, relying on relevant regulations, standards, regulatory drafts, legal and academic papers, recommendations of market regulators, crypto-asset white papers, industry opinions, and media articles. There are different accounting treatments that can be applied, depending on the legal and technological aspects of each class of crypto-assets. Based on a critical discussion of accounting policies and options, our research has implications for accounting professionals, but also for standard setters, who are urged to provide clear guidelines. Identifying the key economic characteristics of each asset and determining the most appropriate way to recognize these characteristics in the financial statements are crucial for the development of a functional and trustworthy market in crypto-assets. Full article
16 pages, 1570 KiB  
Review
A Bibliometric Analysis of Financial Technology: Unveiling the Research Landscape
by Hiranya Dissanayake, Catalin Popescu and Anuradha Iddagoda
FinTech 2023, 2(3), 527-542; https://doi.org/10.3390/fintech2030030 - 06 Aug 2023
Cited by 1 | Viewed by 2249
Abstract
This study presents a comprehensive bibliometric analysis of research on financial technology (FinTech) as a methodology. The aim is to unveil the research landscape, trends, and influential factors within this rapidly evolving field. By examining publication records, citation patterns, and thematic maps, valuable [...] Read more.
This study presents a comprehensive bibliometric analysis of research on financial technology (FinTech) as a methodology. The aim is to unveil the research landscape, trends, and influential factors within this rapidly evolving field. By examining publication records, citation patterns, and thematic maps, valuable insights into the intellectual structure and impact of FinTech research are provided. The analysis highlights the increasing research output and global interest in FinTech, identifies key contributors and knowledge hubs driving the field, and uncovers emerging research themes such as blockchain technology, digital payments, robo-advisors, peer-to-peer lending, and regulatory frameworks. This analysis serves as a roadmap for researchers, industry professionals, and policymakers, offering guidance for navigating the vast body of FinTech research, identifying research gaps, and fostering collaborations to drive innovation in the financial industry. Overall, this bibliometric analysis contributes to a better understanding of the current state of FinTech research and provides valuable insights for future research endeavors and decision-making in the field. Full article
(This article belongs to the Special Issue Financial Technology and Innovation Sustainable Development)
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17 pages, 2319 KiB  
Article
Quantifying the Economic and Financial Viability of NB-IoT and LoRaWAN Technologies: A Comprehensive Life Cycle Cost Analysis Using Pragmatic Computational Tools
by Bernhard Koelmel, Max Borsch, Rebecca Bulander, Lukas Waidelich, Tanja Brugger, Ansgar Kuehn, Matthias Weyer, Luc Schmerber and Michael Krutwig
FinTech 2023, 2(3), 510-526; https://doi.org/10.3390/fintech2030029 - 20 Jul 2023
Viewed by 1246
Abstract
This paper focuses on quantifying the economic and financial viability of NB-IoT and LoRaWAN technologies, two low-power wide-area network (LPWAN) technologies with unique characteristics that make them suitable for IoT applications. The purpose of this study is to propose a “pragmatic” artifact for [...] Read more.
This paper focuses on quantifying the economic and financial viability of NB-IoT and LoRaWAN technologies, two low-power wide-area network (LPWAN) technologies with unique characteristics that make them suitable for IoT applications. The purpose of this study is to propose a “pragmatic” artifact for performing life cycle cost analysis and demonstrate its application to these technologies. The methodology uses pragmatic computational tools to facilitate the analysis and considers all relevant economic and financial factors, such as operating costs, equipment costs, and revenue potential. The main finding of this study is that Narrow Band-Internet of Things (NB-IoT) and Long Range Wide Area Network (LoRaWAN) technologies have different cost structures and revenue potentials, which may affect their economic and financial viability for different IoT applications. Ultimately, the study concludes that a comprehensive life cycle cost analysis is critical to making informed decisions about technology adoption, and that the proposed methodology can be applied to other IoT technologies to gain insight into their economic and financial viability. Full article
(This article belongs to the Special Issue Financial Technology and Innovation Sustainable Development)
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26 pages, 3580 KiB  
Article
Big Data-Driven Banking Operations: Opportunities, Challenges, and Data Security Perspectives
by Morshadul Hasan, Ariful Hoque and Thi Le
FinTech 2023, 2(3), 484-509; https://doi.org/10.3390/fintech2030028 - 19 Jul 2023
Viewed by 4101
Abstract
At present, with the rise of information technology revolution, such as mobile internet, cloud computing, big data, machine learning, artificial intelligence, and the Internet of Things, the banking industry is ushering in new opportunities and encountering severe challenges. This inspired us to develop [...] Read more.
At present, with the rise of information technology revolution, such as mobile internet, cloud computing, big data, machine learning, artificial intelligence, and the Internet of Things, the banking industry is ushering in new opportunities and encountering severe challenges. This inspired us to develop the following research concepts to study how data innovation impacts banking. We used qualitative research methods (systematic and bibliometric reviews) to examine research articles obtained from the Web of Science and SCOPUS databases to achieve our research goals. The findings show that data innovation creates opportunities for a well-developed banking supply chain, effective risk management and financial fraud detection, banking customer analytics, and bank decision-making. Also, data-driven banking faces some challenges, such as the availability of more data increasing the complexity of service management and creating fierce competition, the lack of professional data analysts, and data costs. This study also finds that banking security is one of the most important issues; thus, banks need to respond to external and internal cyberattacks and manage vulnerabilities. Full article
(This article belongs to the Special Issue Advances in Analytics and Intelligent System)
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9 pages, 1832 KiB  
Article
Digital Economy under Fintech Scope: Evidence from African Investment
by Sonia Kherbachi
FinTech 2023, 2(3), 475-483; https://doi.org/10.3390/fintech2030027 - 14 Jul 2023
Viewed by 922
Abstract
The digital economy has revolutionized industries worldwide, prompting companies to invest in digital technologies to enhance productivity and profitability. However, the successful implementation of these technologies hinges on employees’ perceptions and satisfaction with the digital infrastructure. This paper aims to explore the impact [...] Read more.
The digital economy has revolutionized industries worldwide, prompting companies to invest in digital technologies to enhance productivity and profitability. However, the successful implementation of these technologies hinges on employees’ perceptions and satisfaction with the digital infrastructure. This paper aims to explore the impact of digital technology satisfaction on overall job satisfaction within the fintech domain. Drawing from the User-Task-Technology fit framework, it investigates the interplay between digital technology satisfaction, job satisfaction, and work-life balance. By aligning technology with task requirements and individual user needs, organizations can foster a positive work environment and improve firm performance. The study employs Principal Component Analysis (PCA) to identify key requirements for the digital economy in a digital environment. Furthermore, it addresses two research questions related to the selection of variables representing sustainability dimensions and evaluating dependency in digital economy projects under a fintech scope. The findings highlight the importance of digital technology satisfaction in driving employee job satisfaction and overall work experience. Ultimately, this research contributes to a deeper understanding of the factors influencing the digital economy and offers insights for managers and organizations seeking to optimize their digital transformation strategies. The study concludes by exploring the digital economy in the context of healthcare services in Africa, specifically focusing on the initiatives led by the World Bank. Full article
(This article belongs to the Special Issue Financial Technology and Innovation Sustainable Development)
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14 pages, 1021 KiB  
Article
Examining the Plausible Applications of Artificial Intelligence & Machine Learning in Accounts Payable Improvement
by Vijaya Krishna Kanaparthi
FinTech 2023, 2(3), 461-474; https://doi.org/10.3390/fintech2030026 - 13 Jul 2023
Cited by 1 | Viewed by 1871
Abstract
Accounts Payable (AP) is a time-consuming and labor-intensive process used by large corporations to compensate vendors on time for goods and services received. A comprehensive verification procedure is executed before disbursing funds to a supplier or vendor. After the successful conclusion of these [...] Read more.
Accounts Payable (AP) is a time-consuming and labor-intensive process used by large corporations to compensate vendors on time for goods and services received. A comprehensive verification procedure is executed before disbursing funds to a supplier or vendor. After the successful conclusion of these validations, the invoice undergoes further processing by traversing multiple stages, including vendor identification; line-item matching; accounting code identification; tax code identification, ensuring proper calculation and remittance of taxes, verifying payment terms, approval routing, and compliance with internal control policies and procedures, for a comprehensive approach to invoice processing. At the moment, each of these processes is almost entirely manual and laborious, which makes the process time-consuming and prone to mistakes in the ongoing education of agents. It is difficult to accomplish the task of automatically processing these invoices for payment without any human involvement. To provide a solution, we implemented an automated invoicing system with modules based on artificial intelligence. This system processes invoices from beginning to finish. It takes very little work to configure it to meet the specific needs of each unique customer. Currently, the system has been put into production use for two customers. It has handled roughly 80 thousand invoices, of which 76 percent were automatically processed with little or no human interaction. Full article
(This article belongs to the Special Issue Advances in Analytics and Intelligent System)
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17 pages, 317 KiB  
Review
The Role of FinTech in Sustainable Healthcare Development in Sub-Saharan Africa: A Narrative Review
by Edgar Cambaza
FinTech 2023, 2(3), 444-460; https://doi.org/10.3390/fintech2030025 - 10 Jul 2023
Cited by 2 | Viewed by 3023
Abstract
This narrative review explores the potential of FinTech in promoting sustainable healthcare development in Sub-Saharan Africa (SSA), focusing on the role of blockchain, crowdfunding, digital payments, and machine learning. The review also highlights the potential barriers to FinTech adoption in SSA, including limited [...] Read more.
This narrative review explores the potential of FinTech in promoting sustainable healthcare development in Sub-Saharan Africa (SSA), focusing on the role of blockchain, crowdfunding, digital payments, and machine learning. The review also highlights the potential barriers to FinTech adoption in SSA, including limited access to technology, regulatory challenges, and cultural factors, and proposes potential solutions, such as capacity building and increased financial investment. Additionally, the review discusses the ethical and social implications of FinTech in healthcare development, including privacy, data security, equity, and accessibility. The main findings suggest that FinTech has the potential to significantly improve healthcare delivery and financing in SSA, particularly in the areas of information sharing, healthcare financing, and healthcare delivery models. However, addressing the barriers to FinTech adoption and mitigating the ethical and social implications will be essential to realizing the full potential of FinTech in healthcare development in the region. The review recommends future research and development in this area, and highlights the potential for FinTech to promote sustainable and equitable healthcare development in SSA. Full article
(This article belongs to the Special Issue Advances in Investment for Sustainable Development)
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14 pages, 288 KiB  
Article
Developing an Ethical Framework for Responsible Artificial Intelligence (AI) and Machine Learning (ML) Applications in Cryptocurrency Trading: A Consequentialism Ethics Analysis
by Haris Alibašić
FinTech 2023, 2(3), 430-443; https://doi.org/10.3390/fintech2030024 - 03 Jul 2023
Cited by 1 | Viewed by 2871
Abstract
The rise in artificial intelligence (AI) and machine learning (ML) in cryptocurrency trading has precipitated complex ethical considerations, demanding a thorough exploration of responsible regulatory approaches. This research expands upon this need by employing a consequentialist theoretical framework, emphasizing the outcomes of AI [...] Read more.
The rise in artificial intelligence (AI) and machine learning (ML) in cryptocurrency trading has precipitated complex ethical considerations, demanding a thorough exploration of responsible regulatory approaches. This research expands upon this need by employing a consequentialist theoretical framework, emphasizing the outcomes of AI and ML’s deployment within the sector and its effects on stakeholders. Drawing on critical case studies, such as SBF and FTX, and conducting an extensive review of relevant literature, this study explores the ethical implications of AI and ML in the context of cryptocurrency trading. It investigates the necessity for novel regulatory methods that address the unique characteristics of digital assets alongside existing legalities, such as those about fraud and insider trading. The author proposes a typology framework for AI and ML trading by comparing consequentialism to other ethical theories applicable to AI and ML use in cryptocurrency trading. By applying a consequentialist lens, this study underscores the significance of balancing AI and ML’s transformative potential with ethical considerations to ensure market integrity, investor protection, and overall well-being in cryptocurrency trading. Full article
(This article belongs to the Special Issue Advances in Analytics and Intelligent System)
16 pages, 3277 KiB  
Article
Practical Application of Deep Reinforcement Learning to Optimal Trade Execution
by Woo Jae Byun, Bumkyu Choi, Seongmin Kim and Joohyun Jo
FinTech 2023, 2(3), 414-429; https://doi.org/10.3390/fintech2030023 - 29 Jun 2023
Viewed by 2444
Abstract
Although deep reinforcement learning (DRL) has recently emerged as a promising technique for optimal trade execution, two problems still remain unsolved: (1) the lack of a generalized model for a large collection of stocks and execution time horizons; and (2) the inability to [...] Read more.
Although deep reinforcement learning (DRL) has recently emerged as a promising technique for optimal trade execution, two problems still remain unsolved: (1) the lack of a generalized model for a large collection of stocks and execution time horizons; and (2) the inability to accurately train algorithms due to the discrepancy between the simulation environment and real market. In this article, we address the two issues by utilizing a widely used reinforcement learning (RL) algorithm called proximal policy optimization (PPO) with a long short-term memory (LSTM) network and by building our proprietary order execution simulation environment based on historical level 3 market data of the Korea Stock Exchange (KRX). This paper, to the best of our knowledge, is the first to achieve generalization across 50 stocks and across an execution time horizon ranging from 165 to 380 min along with dynamic target volume. The experimental results demonstrate that the proposed algorithm outperforms the popular benchmark, the volume-weighted average price (VWAP), highlighting the potential use of DRL for optimal trade execution in real-world financial markets. Furthermore, our algorithm is the first commercialized DRL-based optimal trade execution algorithm in the South Korea stock market. Full article
(This article belongs to the Special Issue Advances in Analytics and Intelligent System)
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26 pages, 1302 KiB  
Article
Investigating Acceptance of Digital Asset and Crypto Investment Applications Based on the Use of Technology Model (UTAUT2)
by Dian Palupi Restuputri, Figo Bimaraka Refoera and Ilyas Masudin
FinTech 2023, 2(3), 388-413; https://doi.org/10.3390/fintech2030022 - 28 Jun 2023
Cited by 1 | Viewed by 1788
Abstract
In recent years, cryptocurrency has increased in popularity in Indonesia. In Indonesia, based on data from the Ministry of Trade (Kemendag), until the end of May 2021, the number of investors in cryptocurrency assets or crypto money was 6.5 million people. This number [...] Read more.
In recent years, cryptocurrency has increased in popularity in Indonesia. In Indonesia, based on data from the Ministry of Trade (Kemendag), until the end of May 2021, the number of investors in cryptocurrency assets or crypto money was 6.5 million people. This number has increased by more than 50 percent when compared to 2020 when there were 4 million people. The Pintu application is the first crypto mobile application in Indonesia that is committed to solving crypto investment problems, especially for beginners and ordinary people. Even though it provides benefits, investing in cryptocurrency can provide high profits. In an instant, it can also make a profit. The motion, which is like a roller coaster, requires strong mental readiness to invest in cryptocurrencies. This should also be a critical consideration for investors, especially young investors. Therefore, it is necessary to understand what factors contribute to building stronger attitudes and behavioral intentions toward the PINTU application. This research analyzes the data using the use of technology 2 method with the partial least square (PLS) analysis technique method, which will later be processed in the form of data results in the form of responses of the user when using the application. Facilitating conditions and social influence are the most influential indicators. The results of the study show that behavioral intention to adopt has a relationship with behavioral intention to recommend, and behavioral intention to adopt positively and significantly influences the intention to recommend. Full article
(This article belongs to the Special Issue Advances in Investment for Sustainable Development)
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14 pages, 2051 KiB  
Viewpoint
Digital Banks in Brazil: Struggling to Reach the Breakeven Point or a New Evolution Wave?
by Luiz Antonio Bueno, Tiago F. A. C. Sigahi and Rosley Anholon
FinTech 2023, 2(3), 374-387; https://doi.org/10.3390/fintech2030021 - 23 Jun 2023
Cited by 1 | Viewed by 1756
Abstract
Digital banks have profoundly changed the financial industry’s operations. In this scenario, the study of digital banks has gained increasing attention in the academic community. However, there is still a lot of room to understand how this type of organization functions and impacts [...] Read more.
Digital banks have profoundly changed the financial industry’s operations. In this scenario, the study of digital banks has gained increasing attention in the academic community. However, there is still a lot of room to understand how this type of organization functions and impacts different contexts. Considering the information collected, partial findings, and the professional experience of those involved in a larger research project, the main objective of this study is to present the Brazilian scenario related to digital banks from the analytical perspective of the research group. The methodological approach included analysis of partial results of a larger research project, bibliographic research, analysis of public data about digital banks in Brazil, and multidisciplinary discursive approach to conduct debates with the support of academic literature and experience from top managers working in major Brazilian financial institutions. Data on key performance indicators (KPIs), including cost breakdown, net revenue, return on equity (ROE), and cost-to-income ratio, are presented and analyzed for both traditional and digital banks. Furthermore, this study puts forward potential avenues for future research within three main research domains: digital operational efficiency for banks, customer attraction strategies employed by digital banks, and the utilization of digital financial services in the retail industry. Full article
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