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Introduction: Lending is an age-old concept, and Peer-to-Peer (P2P) lending is not new. The reduction in the issuing of loans by banks has made people switch from traditional to online mode. The introduction of the online P2P lending industry is in its nascent stage of growth. As this industry is relatively new, understanding user experience, sentiments, and emotions would be helpful for the industry to innovate as per customer requirements.

Purpose: To explore the patterns in the sentiments expressed by users of ‘Cashkumar’ based on Google reviews.

Methodology: Sentiments have been analysed using user experience in risk, cost, ease of use, and loan processing time. Python application was used for sentiment analysis of Google reviews.

Findings: The sentiment analysis results showed that the average sentiment score was 0.7144, which indicates that the user sentiment towards ‘Cashkumar’ is positive. The reviews reflect that the users, especially borrowers were satisfied with the platform’s services and happy with loan processing time. The other factors – ease of use, cost, and risk – were not given much importance by users. Both lenders and borrowers faced a few issues, but the results of the lender’s sentiment analysis could not be generalised due to a smaller number of posted reviews.

This paper aims to conduct a systematic literature review on the fintech services and financial inclusion of the developing nations that particularly focuses on lower middle-income group nations (LMIGN) and upper middle-income group nations (UMIGN) to highlight the research areas that have not received attention and present opportunities for future research.

This paper adopts a systematic approach to examine 65 research articles published from 2016 to 2021, adhering to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines.

The study identifies research gaps in two key themes: backward and outward linkages. In backward linkages, the literature on UMIGN should pay attention to the behavioural patterns associated with lending, investment and market provision-related fintech services. Further research is needed to understand the relationship between fintech services on the usage and quality dimension of financial inclusion in both LMIGN and UMIGN. For outward linkages, future research work should explore the role of fintech and financial inclusion in the development of LMIGN. This study provides valuable insights and guides future research directions by comprehensively mapping the existing studies.

This study does not use quantitative tools, such as meta and bibliometric analysis, to validate the findings.

This research paper offers new perspectives that introduce a novel framework for analysing literature on fintech, financial inclusion and its impact on the overall development of UMIGN and LMIGN.

This study aims to examine the impact and contribution of priority and non-priority sectors, as well as their sub-sectors, on the gross non-performing assets of public, private and foreign sector banks.

The Reserve Bank of India's database on the Indian economy is used to retrieve data over 13 years (2008–2021). Public sector (12), private sector (22) and foreign sector (44) banks are represented in the sample. Two-way ANOVA, multiple regression and panel regression statistical techniques are used in SPSS and EViews to examine the data. Further, the results are also validated by using robustness testing by applying the fully modified ordinary least square (FMOLS) and dynamic least square (DOLS) regression.

The results showed that, for private and foreign banks, the non-priority sector makes up the majority of the total gross non-performing assets, although both the priority and non-priority sectors are substantial for public sector banks. The largest contributors to the total gross non-performing assets in public, private and foreign banks are industries, agriculture and micro and small businesses. The FMOLS displays robustness results that are qualitatively similar to the baseline result.

Based on the study's findings about the patterns of non-performing assets originating from these specific industries, banks might improve the way in which these advanced loans are managed.

There has not been much research done on the subject of sub-sector-specific non-performing assets and how they affect total gross non-performing assets across the three sector banks. The study's primary focus will be on the issue of non-performing assets in the priority’s and non-priority’s sub-sectors, namely, agricultural, micro and small businesses, food credit, industries, services, retail loans and other priority and non-priority sectors.

This paper investigates the factors crucial for small and medium enterprises (SMEs) in establishing business relationships with banks in Pakistan.

To investigate how SMEs select banking relationships using criteria, such as decision factors, decision-makers, and decision processes, a comprehensive literature review was used to classify SMEs' decision factors for bank selection. A survey questionnaire was distributed to 200 SMEs, randomly selected from the Small and Medium Enterprise Development Authority database in Pakistan. Probit/Tobit model is estimated to explain the behavior of SMEs.

The results reveal that SMEs consider a bank's Reputation, Price, and Location essential while establishing bank relationships. SMEs tend to terminate relationships with banks when the Price and Location of the bank are considered essential factors in the relationship with the banks. Price and Location are necessary for SMEs to reduce banking relationships. The SMEs also tend to reduce if they get attractive offers, or the SMEs are recommended to make a banking relationship. This study also provides intuitions for bank policymakers to design policies to retain SME customers and attract new business relationships.

The research emphasizes the importance of competitive and transparent pricing strategies in designing products for SMEs. Banks must prioritize their Reputation and credibility to attract and retain relationships with SMEs.

The study attempts to provide evidence on the SME-Bank relationship focusing on the factors that are crucial for SMEs to decide while establishing business relationships with banks. Also, most of the related literature focuses on developed countries; this research adds to the literature on SMEs' behavior, particularly in a developing country's context.

This study attempts to explain the impact of Fintech on the Asian economies through two main indicators, inflation and unemployment over the period 2011-2014-2017.

This study uses panel data regression models to explain the relationship between Fintech, inflation as an indicator of currency circulation and unemployment since Fintech has disrupted the labor market.

Empirical results show a consistently strong and positive relationship between the development of financial technologies and the reduction of inflation and unemployment unless these technologies are actively used. Digital finance has become a new driver of economic development. Therefore, governors should not only improve their economies but also expand their information and communication technologies to develop their digital infrastructure, especially for businesses.

The present study contributes to the existing literature on the impact of disruptive digital innovation on the socioeconomic development of emerging countries. The empirical evidence highlights the importance of distinguishing between active and passive uses of Fintech in order to anticipate its economic impact.

Purpose: Thanks to the Fourth Industrial Revolution and the digital economy, digital banking has become an attractive business trend. Moreover, the spreading of the Covid-19 virus worldwide over the past two years has boosted the digitalisation of banking services. The development of digital banking is now becoming an uncontroversial issue that will attract the concern of scholars, bank managers, and policy-makers.

Methodology: As an emerging country with a young population having significant digital appliance joy, Vietnam will be a perfect case study to research the development of digital banking. Besides, digital banks, as well as the appliances of artificial intelligence (AI) in the banking sector, have appeared in Vietnam’s banking system at several different levels.

Findings: Moreover, most commercial banks in Vietnam are now in the race to complete their digital services to provide innovative digital banking services that add more value to their clients. Hence, the chapter will describe the overall picture of Vietnam’s current digital banking market.

Implications: Based on the crucial features of the operations of several digital banks and the appliances of AI in the digital banking sector in Vietnam during the chosen period, the author would like to give information on the potential of the Vietnamese digital banking market and suggest the key policies which the Vietnamese government should consider to support the digital transformation of the banking sector in Vietnam.

This study aims to investigate the sustainable development goals (SDGs) awareness of public librarians, their perceived understanding of public libraries to achieve United Nation Sustainable Development Goals (UNSDGs) and identify the challenges affect the library adoption to SDGs.

In this study, a quantitative survey method was used to collect responses. The study population was all head of public libraries in Bangladesh. Seventy-one personalized individual e-mails with a link to a Web-based questionnaire were sent out to the public librarians (head of public libraries) inviting them to participate in this study. Fifty-nine responded to the survey, which was 83.09% of all population.

The findings revealed that public librarians working in different public libraries were generally aware of UNSDGs. The perceived understanding on the role of public libraries to achieve SDGs varies from SDG#1 to SDG1#7. However, most of the librarians’ responses ranked well in line with SDGs#1, #2, #3, #4 and #17, and they believed that their public libraries are doing well on some of these goals. Out of 17 SDGs, public libraries are working well on 7 goals. Lack of SDG-related activities, awareness, funds, implementation plan and unwillingness of the policymakers are challenges identified in this study.

There are not many studies on public libraries in Bangladesh, and the research areas are not diverse. There are only few studies in this area, and there is a need for different kinds of studies to reach a better overview and understanding when developing public library services to support SDGs. This could serve as the basis for a deeper study.

This study aims to discuss the case of the Università degli studi di Milano in the context of the COVID-19 pandemic as a point of departure for a new concept of digital library that is closer to users and publishers.

In this case study, processes and statistical data related to the library system and its usage and digitization at the Università degli studi di Milano during and immediately after the COVID-19 pandemic were analyzed with focus on users’ behavior regarding access to and usage of digital library. The outcome of the innovative measures implemented by the university was analyzed, including the procedures for purchasing bibliographic material, the organization of work in libraries, the management system of bibliographic resources and their monitoring, teaching, communication and the organization of knowledge in general.

The library system of the Università degli studi di Milano has responded effectively and efficiently to the pandemic crisis by creating a collaborative network with publishers, teachers and students. The awareness of the central role of the Digital Library as the primary place for accessing content, an environment of carefully curated resources and a place for individual and collaborative studies to support learning has increased.

This analysis charters the effects of the lockdown, which has accelerated digital transformation and created an innovative model of academic libraries more connected to community goals. This study points toward the good practices resulting from the COVID-19 experience: closer relationship between users and publishers, change in organizational flow and the relevance of communication in creating a closer connection with users.

The evolution of new technologies like cloud computing, artificial intelligence and block chain has led to phenomenal growth of the FinTech Industry. The digital-only banking also known as neo, virtual or challenger banks leverage these technologies with the ultimate aim of enhancing the reach of the formal banking sector to the hinterlands of our country which are currently plagued with the problem of inadequate infrastructure. It is evident that convergence of the neo-bank with the traditional banking system would be a path-breaker as it caters to the gamut of services which can be offered to the end customer. Recent trends indicate that regulators are concentrating on consolidating different enactments in the form of codes instead of separate and piecemeal laws to control regulatory cholesterol and promoting digital technologies, thereby nurturing competitiveness in the market. Through this chapter we aim to do a comparative analysis of the technological advancements and its implementation in India with other jurisdictions. We will be relying on secondary data sourced from various governmental websites, surveys and journals. With the FinTech industry gaining traction and decentralization of this sector, it becomes imperative to have proper regulations to curb unwarranted risks, the absence of which might just halt the potential growth and can turn out to be a nightmare for the economy if not dealt with caution. There exists unexploited potential in the digital sector which can also be used across the borders to realize its true worth. However, it should be based on responsible innovation which attends to the interoperability issues while preserving the functioning and stability of the financial system.

The emergence of digital transformation in the banking industry gives rise to the challenges of adopting technology and boosting users' confidence in the process. This study mainly explores the roles of operant resources and consumption values in the user's consumption process concerning the fintech-embedded product-service system (FPSS) that provides technologically advanced financial services in South Korea.

This study examines the research model based on users' perceived quality, assessment and recommendation of FPSS. In addition, grounded in the resource-based view (RBV) and consumption value theory (CVT), an extended model is developed to understand the impact of user consumption value on FPSS design. The research model includes both product-service system (PSS) characteristics, i.e. quality and assessment, and user-specific characteristics, i.e. conditional, utilitarian and social values (collectively referred to as user consumption value).

This study finds that information, service and security quality positively affect users' confidence through positive assessment and recommendation intention. All the elements of user consumption value play a positive role in the FPSS user confidence model. In addition, the impact of operant resources on the overall service assessment is further investigated based on the interest of user's service engagement. Notable findings include users that highly engage in FPSS services return higher service assessment when social value, information quality and service quality increase.

Overall, this study provides academic and managerial guidelines for the strategic design of fintech-embedded banking services by considering the roles of PSS and user-specific characteristics in fostering sustainable competitive advantage.