How does a data strategy enable customer value?The case of FinTechs and traditional banks under the open finance framework

The coupling of data and digital innovation opens the way for new business in the financial services sector,where customers are placed at the centre of decisions and data can help to develop customer knowledge.To carry out our research,we adopted a multi-case study approach to explore how a data strategy is developed in the retail banking industry,together with its relationship with customer value,paying particular attention to the heterogeneity between traditional banks and financial technology companies(FinTechs).Two main points emerged from the study.Firstly,there are three possible approaches to Open Finance,which are mainly defined by their different corporate cultures,organisational configurations,technological architecture and data value.Secondly,it is not enough to be a FinTech to be best placed to exploit the market,as some traditional banks share the FinTechs’approach to Open Finance.Designing new tailored products,customising their prices and offering them over the right channels through targeted communication are all data-driven initiatives that stem from cross-or up-selling potential,core to the retail banking industry for turning a customer into a cash flow,thus enabling value to be created for customers.Our findings additionally revealed that there is a form of external information asymmetry between the customer and the bank,and that there is also an internal asymmetry between bank departments,as their visibility on information about the same customer may differ.

Customer Churn Prediction Framework of Inclusive Finance Based on Blockchain Smart Contract

In view of the fact that the prediction effect of influential financial customer churn in the Internet of Things environment is difficult to achieve the expectation,at the smart contract level of the blockchain,a customer churn prediction framework based on situational awareness and integrating customer attributes,the impact of project hotspots on customer interests,and customer satisfaction with the project has been built.This framework introduces the background factors in the financial customer environment,and further discusses the relationship between customers,the background of customers and the characteristics of pre-lost customers.The improved Singular Value Decomposition(SVD)algorithm and the time decay function are used to optimize the search and analysis of the characteristics of pre-lost customers,and the key index combination is screened to obtain the data of potential lost customers.The framework will change with time according to the customer’s interest,adding the time factor to the customer churn prediction,and improving the dimensionality reduction and prediction generalization ability in feature selection.Logistic regression,naive Bayes and decision tree are used to establish a prediction model in the experiment,and it is compared with the financial customer churn prediction framework under situational awareness.The prediction results of the framework are evaluated from four aspects:accuracy,accuracy,recall rate and F-measure.The experimental results show that the context-aware customer churn prediction framework can be effectively applied to predict customer churn trends,so as to obtain potential customer data with high churn probability,and then these data can be transmitted to the company’s customer service department in time,so as to improve customer churn rate and customer loyalty through accurate service.

Journal Introduction:China Finance Review International

Background The China Finance Review International is a flagship academic journal broadly covering the Chinese and international financial markets.The journal is founded by Antai College of Economics and Management at Shanghai Jiao Tong University,one of the top universities in Asia.The China Finance Review International aims to publish quality empirical and theoretical works on important financial and economic issues in the profession.We encourage ground-breaking research related to new and niche areas in finance,such as Fintech and cryptos,ESG,climate finance,and socially responsible investments.We welcome critiques of existing literature and comparative analysis between emerging markets and developed economies.

The Impact of Digital Finance on High-Quality Development of the Chengdu-Chongqing Economic Circle

This paper developed a comprehensive evaluation system that was able to quantify the levels of high-quality development across the cities within the Chengdu-Chongqing economic circle,and investigate the impact that digital finance had on the cities’high-quality development and the underlying mechanisms through which it achieved this.This comprehensive evaluation system was constructed using statistical data from these cities for the period 2014 to 2020 while also taking China’s high-quality development philosophy into account.The key findings revealed that:(a)Digital finance was able to significantly promote high-quality development in the Chengdu-Chongqing economic circle;(b)Digital finance had a significant positive effect in promoting innovative,coordinated,green,open,and shared development;(c)Digital finance was able to stimulate the high-quality development in the Chengdu-Chongqing economic circle by boosting entrepreneurial dynamism;(d)Digital finance had a significant impact on the high-quality development of the axis areas,while its impact was less discernible in non-axis areas.The insights from this research offer a deeper understanding of the factors that drive high-quality development,the role digital finance plays,and the mechanisms through which digital finance is able to propel high-quality development at the city cluster scale.

Synergistic dance of digital economy and green finance on carbon emissions:Insights from China

China has recently implemented a dual-carbon strategy to combat climate change and other environmental issues and is committed to modernizing it sustainably.This paper supports these goals and explores how the digital economy and green finance intersect and impact carbon emissions.Using panel data from 30 Chinese provinces over the period 2011-2021,this paper finds that the digital economy and green finance can together reduce carbon emissions,and conducts several robustness tests supporting this conclusion.A heterogeneity analysis shows that these synergistic effects are more important in regions with low levels of social consumption Meanwhile,in the spatial dimension,the synergistic effect of the local digital economy and green finance adversely impacts the level of carbon emissions in surrounding areas.The findings of this paper provide insights for policymakers in guiding capital flow and implementing carbon-reduction policies while fostering the growth of China’s digital economy and environmental sustainability.

Reduction effect of carbon emission and optimisation path of green finance

Under the background of"dual-carbon",green finance is an important way to promote carbon emission reduction and realize the development of a low-carbon economy.Using provincial panel data from 2000 to 2020,this paper constructs a basic regression model to study the"carbon reduction"effect,mechanism of action,and heterogeneity of green finance.The study finds that:the development of green finance significantly inhibits carbon emissions and has an obvious"carbon reduction"effect;green technology innovation has a mediating effect on the carbon emission reduction effect of green finance;in regions with a high level of economic development or a high degree of marketization,the"carbon reduction"effect of green finance is significant.

Does green finance drive high-quality economic development?-Based on empirical evidence from China

Green finance,as an important branch of modern finance,has far-reaching significance that is not limited to the financial sector.By promoting green investment and optimizing resource allocation,green finance plays a crucial role in reducing environmental pollution and carbon emissions.At the same time,it can also promote the quality of economic growth and achieve the harmonious development of economy,society and environment.Based on China's provincial panel data from 2008 to 2022,the direct impact and indirect transmission mechanism of green finance on high-quality economic development are analyzed by constructing a dynamic panel model and a mediation effect model.It is found that green finance not only directly promotes the high-quality development of the economy,but also indirectly promotes the sustainable and healthy growth of the economy through the transmission channel of technological innovation.This mediating effect of technological innovation is as high as 78.65%,which shows the close connection between green finance and high-quality economic development.In addition,the study also found that the direct promotion effect of green finance on high-quality economic development has significant regional heterogeneity.The results of this study suggest that when formulating relevant policies,it is necessary to fully consider the actual situation of each region and tailor them to the local conditions to ensure the in-depth promotion of green finance and the overall development of the economy.

Omni-Channel Retailing and Firm Performance from a Customer Lifetime Value Perspective

In the digital era,retailers are keen to find out whether omni-channel retailing helps improve long-term firm performance.In this paper,we employ machine learning techniques on a large consumption data set in order to measure customer lifetime value(CLV)as the basis for determining long-term firm performance,and we provide an empirical analysis of the relationship between omni-channel retailing and CLV.The results suggest that omni-channel retailing may effectively enhance CLV.Further analysis reveals that this process is influenced by heterogeneous consumer requirements and that significant differences exist in the extent to which the omni-channel transition may influence CLV depending on consumer preferences for diversity of commodities,sensitivity to the cost of contract performance,and sensitivity to warehousing costs.Hence,retailers should provide consumers with a complete portfolio of goods and services based on target consumers’heterogeneous requirements in order to increase omni-channel efficiency.

Customer Satisfaction with Metaverse and Twin Avatar in Health Marketing

Even though people approach a new technological development with distance, they have to use these technologies in order to keep up with the requirements of the age. As a result of the rapidly developing artificial intelligence and technology sector, the concept of metaverse is a virtual world that can be used in the health, tourism, marketing, advertising, education and gaming industries. When the literature is reviewed, it is seen that there are many domestic and foreign sources on the subject, but most of these sources are generally related to developments in the gaming and entertainment sectors. But apart from this, studies are being carried out to make it possible to use it in many sectors, including its use in the health sector. With this study, it is aimed to briefly mention what the existing metaverse studies are and to prepare a detailed research result for its use in the health sector. This study consists of five chapters. In the first part, information on the definition of the metaverse concept and how it has developed is given, and the infrastructure requirements necessary for the formation of the metaverse universe are mentioned. In the second section, it is discussed what kind of hardware and software tools may be needed if metaverse technology is possible. In the third section, research on the areas in which metaverse technology can be used in the health sector and current studies and future studies are included. In the fourth section, the legal aspects of this situation when a metaverse-based health service is to be initiated with twin avatars are discussed. In the last section, the advantages and disadvantages of metaverse technology are discussed. It can be seen from the study that the positive aspects of this kind of activity in the field of health will be more positive. As a result, the study constitutes an important value that will be a source for similar studies to be conducted in the future.

The User Analysis of Amazon Using Artificial Intelligence at Customer Churn

Customer churns remains a key focus in this research, using artificial intelligence-based technique of machine learning. Research is based on the feature-based analysis four main features were used that are selected on the basis of our customer churn to deduct the meaning full analysis of the data set. Data-set is taken from the Kaggle that is about the fine food review having more than half a million records in it. This research remains on feature based analysis that is further concluded using confusion matrix. In this research we are using confusion matrix to conclude the customer churn results. Such specific analysis helps e-commerce business for real time growth in their specific products focusing more sales and to analyze which product is getting outage. Moreover, after applying the techniques, Support Vector Machine and K-Nearest Neighbour perform better than the random forest in this particular scenario. Using confusion matrix for obtaining the results three things are obtained that are precision, recall and accuracy. The result explains feature-based analysis on fine food reviews, Amazon at customer churn Support Vector Machine performed better as in overall comparison.

Assessing the impact of artificial intelligence on customer performance: a quantitative study using partial least squares methodology

The purpose of this research is to examine the impact of artificial intelligence(AI)on customer performance and identify the factors contributing to its effectiveness by employing a quantitative approach,specifically the partial least squares method,to test the hypotheses and explore the relationships between various variables.The findings indicate that effective business practices and successful AI assimilation have a positive impact on customer performance.Additionally,the results of this study provide valuable insights for both academic and practical communities.This study highlights the importance of specific variables,such as organizational and customer agility,customer experience,customer relationship quality,and customer performance in AI assimilation.By exploring these variables,it contributes significantly to the academic,managerial,and social aspects of AI and its impact on customer performance.

Explaining Customer Experience of Digital Financial Advice

The goal of this paper is to analyze the customer experience of digital-driven financial advice systems. It is the objective of this study to develop a cross-cultural model for validating customer experiences of digital financial advice. In doing so, both objective and subjective system aspects have been considered. It is found that experiential subjective system aspects are the most important. Surveys have been conducted in The United Kingdom and The Netherlands. In exploratory factor analysis, five dominant factors were obtained in the UK and six factors in The Netherlands to explain customer experience. Based on the factor scores, multiple regression analysis has been performed to develop the digital customer experience model （DCX model）. This is the first cross-cultural model to evaluate customer experience of financial advice. In an era in which financial institutions and FinTech companies battle for the engagement of customers, the DCX model is the first to fundamentally drive value creation, differentiation, regulation, and future research.

Research on the Coordinated Development of Inclusive Finance and Financing for Small and Medium-sized Enterprises

As an important force in promoting economic and social development,small and medium-sized enterprises play a crucial role in enhancing China’s economic strength,creating employment opportunities,and promoting industrial structural transformation.However,due to their inherent weaknesses,small and medium-sized enterprises often face difficulties in financing within the traditional financial service system.This makes it difficult for small and medium-sized enterprises to inject vitality into the development of the market economy by expanding their financing scale.Since 2013,China has vigorously developed inclusive finance and extended the services of traditional financial institutions to small and medium-sized enterprises,providing policy guidance,resource support,and technical support to alleviate the financing difficulties of small and medium-sized enterprises.Based on this,this article focuses on the current financing problems faced by small and medium-sized enterprises and specifically elaborates on how to lower the financing threshold for small and medium-sized enterprises and broaden their financing channels through inclusive finance,in order to promote the development of inclusive finance and a virtuous cycle of financing for small and medium-sized enterprises.

Thoughts on Accelerating the Construction of First-Class Undergraduate Majors:Taking Finance as an Example

This article analyzes the path to constructing first-class undergraduate majors in finance,using the finance major as a case study.Through analysis,it aims to offer reference and inspiration for enhancing the quality of finance education in China and supporting the healthy development of the financial industry.The article begins by examining the current status of finance majors,followed by an analysis of the necessity for establishing first-class undergraduate programs.Finally,it provides a detailed exploration of the specific methods for building such programs in finance.The findings indicate that accelerating the construction of first-class undergraduate finance majors is a long-term and challenging task that requires the combined efforts of the government,universities,industry,and various social sectors.Through comprehensive and innovative reforms in areas such as training objectives and positioning,curriculum development,teaching teams,and practical instruction,the quality and level of finance education can be effectively elevated,thereby cultivating more high-caliber financial professionals who meet the demands of the times.

Current Situation of Digital Inclusive Finance in China

Inclusive finance is not only an innovation in financial service concepts but also an institutional arrangement to address the imbalance in social and economic development.Therefore,it is particularly necessary to study the current development status,development level,and challenges of inclusive finance and to conduct research on these issues.Overall,inclusive finance has demonstrated a positive momentum of development,but improvements are still needed in terms of market players,products and services,and the external ecosystem.China’s inclusive finance is still in its infancy,making it essential to accelerate its development and promote inclusive finance in the country.

An Analysis of Digital Finance in Promoting the Development of New Quality Productivity

As a product of the deep integration of financial technology and the digital economy,digital finance plays a significant role in promoting the development of new quality productivity.This paper first elaborates on the connotations of new quality productivity and digital finance and analyzes the mechanisms by which digital finance promotes the development of new quality productivity from both theoretical and practical perspectives.The aim is to explore the value digital finance brings to the development of new quality productivity,along with the challenges it faces,in order to propose corresponding policy recommendations.

The Macroeconomic Impact of Internet Finance

This paper investigates the macroeconomic impacts of Internet finance,highlighting its advantages and challenges.Internet finance,a fusion of Internet technology with traditional financial practices,introduces innovative models for global asset management,capital financing,payments,investments,and intermediary services.While it enhances the accessibility and efficiency of financial services,it also introduces new risks,such as higher credit default rates.This study explores how Internet finance contributes to financial inclusivity and macroeconomic growth yet poses potential threats to traditional financial stability.The dual aspects of Internet finance are analyzed:its application in existing processes and its capacity to generate novel business models.Furthermore,the paper proposes strategic responses to mitigate the negative impacts of Internet finance,mainly focusing on risk management and regulatory improvements to safeguard economic stability.

The Customer Requirements Analysis Method of Engineering Products Based on Multiple Preference Information

To effectively evaluate the fuzziness of the market environment in product planning,a customer requirements analysis method based on multiple preference information is proposed.Firstly,decision-makers use a preferred information form to evaluate the importance of each customer requirement.Secondly,a transfer function is employed to unify various forms of preference information into a fuzzy complementary judgment matrix.The ranking vector is then calculated using row and normalization methods,and the initial importance of customer requirements is obtained by aggregating the weights of decision members.Finally,the correction coefficients of initial importance and each demand are synthesized,and the importance of customer requirements is determined through normalization.The development example of the PE jaw crusher demonstrates the effectiveness and feasibility of the proposed method.

Research on the Impact of Digital Finance on Energy Efficiency in China

Digital finance and green technology innovation(GTI)serve as powerful engines for promoting energy efficiency(EE)and economic development.This paper explores the mechanism by which digital finance impacts EE based on panel data from 30 provinces in China spanning from 2011 to 2019.The results demonstrate that digital finance can significantly enhance EE,with a particularly pronounced effect in the eastern region.Through mechanistic analysis,it is evident that GTI serves as the transmission pathway through which digital finance influences EE,accounting for 45.3%of the effect.The policy implication of this study suggests that China should expedite the digitization of financial markets to further harness the development of digital finance,particularly in pursuit of its technological innovation and green,lowcarbon environmental protection effects.

Green Finance Promotes High-Quality Development of Regional Economy

With the rapid development of the social economy,the role of green finance in promoting the high-quality development of regional economies is increasing day by day.The advancement of green finance not only aids in fostering the green transformation and upgrading of regional economies but also helps mitigate the risks of environmental damage stemming from traditional economic activities.In this new era,it is imperative to embrace the concept of green finance development and innovate green finance practices to further drive high-quality regional economic development.This paper will analyze the significance of green finance in regional economic development,assess the current state of green finance development,and propose optimization strategies for green finance to facilitate high-quality economic development.