Financial Service Platform Research Articles

Users’ Satisfaction Improvement of Financial Shared Service Platform—Perceived Usefulness Mediation and NGIT Application Maturity Adjustment

Users’ Satisfaction Improvement of Financial Shared Service Platform—Perceived Usefulness Mediation and NGIT Application Maturity Adjustment

Web-based Financial Shared Service Platform Construction Research

With the arrival of the era of big wisdom and cloud, accounting work is gradually developing in the direction of platformisation and digital intelligence. The construction of financial shared service platform is an important link to promote the transformation of enterprise digital intelligence, the article is based on the strategic positioning of the enterprise, from the strategy, organisation, talent, process, data and technology, six aspects of the construction of Web-based financial shared service platform, shared service platform module functions and construction of security measures. In order to optimise the management of financial shared service platform, promote enterprise information technology, digital transformation and high-quality development to make a new exploration.

Research On the Construction of Financial Shared Service Platform Under the Integration of Industry and Finance

Financial shared service relies on information technology and the background of economic globalization. With advanced financial management technologies and concepts, they are widely used in modern group enterprises. This paper takes CRRC Zhuzhou electric locomotive Co., Ltd. as the research object. The company has formed a financial accounting platform based on the financial sharing service department, and a management accounting professional group with the finance and taxation fund department, business finance department, and overseas finance department as the core. The company's integrated financial sharing service platform has significantly improved the efficiency of employee reimbursement. Through the understanding and analysis of the current financial management model of the Group, the main shortcomings of this model are found out and targeted solutions are proposed.

Evaluation of the Construction of a Data Center-Driven Financial Shared Service Platform From the Remote Multimedia Network Perspective

The financial shared service (FSS) platform under the remote multimedia network perspective is a newly proposed accounting and reporting business management mode in recent years that plays a good role in the operation of enterprises. The multimedia technology in the health cloud biological authentication and data management system can be applied to the construction of the data center-driven FSS platform. This study used multimedia in the data management system to build a data center-driven FSS platform to maintain the normal operation of the enterprise. Moreover, the study analyzed from the perspective of employee satisfaction, work efficiency, enterprise cost, and work continuity and drew a conclusion. The survey of employee satisfaction showed that the satisfaction of employees after modeling had been greatly improved compared with that before modeling. Moreover, according to the survey of work efficiency, the work efficiency of employees in the five enterprises after modeling has been greatly improved compared with that before modeling. Furthermore, in the survey of enterprise cost, the cost reduction effect of postal enterprises is best after using multimedia technology to model the data center-driven FSS platform. Then, according to the survey on work continuity, the work continuity of the five enterprises has been improved to varying degrees after the establishment of the FSS platform. Among them, the work continuity of Enterprise 2 has been improved by 11%, with the best effect. The multimedia modeling in the health cloud biological authentication and data management system plays a role in promoting the development of enterprises.

Platform business model innovation in the digitalization era: A “driver-process-result” perspective

In the digitalization era, business model innovation (BMI) has become the critical keystone for platforms to gain a sustainable competitive advantage in turbulent environments. However, platform BMI is currently not clearly understood. Through a longitudinal case study of a Chinese financial service platform, this paper integratively addresses issues related to platform BMI in terms of drivers, change process, and value co-creation dynamics based on the “driver-process-result” perspective. The findings indicate that platform BMI type experiences a change process from Focus BMI to Complex BMI at different development stages. At different stages, platform BMI is highly interconnected because of the continuous accumulation and utilization of digital resources. The two drivers, external pressure and management cognition, act as trigger and filter, respectively, in the process of platform BMI. These results also suggest that platforms have successively formed three different value co-creation models in the BMI process.

Research on the Construction of Integrated Financial Service Platform for Small and Medium-sized Enterprises

At present, the world is facing unprecedented major changes over the years. The international situation is unpredictable. The uncertainties in China's economic development and the instability of regional development continue to rise. The development of Bengbu is facing new opportunities, new requirements and challenges. The report of the 19th National Congress pointed out that China's economic development mode has entered a high-quality development stage. Optimizing the layout of various industries and transforming the growth engine are important strategic tasks related to the entire national economy. Digital finance can reduce the financing constraints and information asymmetry level of small and medium-sized enterprises in Bengbu, and effectively improve the R&D investment level of small and medium-sized enterprises in Bengbu. In addition, the coverage dimension of digital inclusive finance plays a major role in promoting the R&D innovation of small and medium-sized enterprises in Bengbu, easing the financing constraints of enterprises, and reducing the degree of information asymmetry, and has a huge role in promoting the R&D investment of small and medium-sized enterprises in Bengbu. This paper will conduct research and analysis on this basis and put forward relevant policy recommendations.

An ESG investment evaluation system based on metrics and model innovation

In recent years, with the acceleration of the economic transformation in China, environmentally friendly and sustainable enterprises are more conducive the construction of a green economy. Environmental, Social and Governance (ESG) which can quantify the relationship between enterprises and the environment, has emerged as the times require. Therefore, based on the "scoring model system for ESG information disclosure", we simplified and reformulated the ESG investment evaluation system, and built iESG, an integrated green financial service platform for small, medium and micro enterprises. It fills the gap in the field of ESG evaluation in the market, and provides targeted ESG evaluation and related analysis and green financial services for small, medium and micro enterprises and independent investors.

Design and Implementation of Financial Service and Management Platform considering Support Vector Machine Algorithm.

With the rapid economic development, the financial industry has quietly become the leader of industries, the core and lifeblood of promoting economic development. At the same time, various financial services and management platforms emerge one after another. However, the emergence of financial services and management platforms cannot effectively alleviate the current financial crisis. In the face of increasingly complex financial risks, traditional financial service and management platforms cannot achieve effective information sharing, which leads to continued low service and management efficiency and frequent financial risk problems. Support vector machine is a data classification algorithm based on supervision, which can realize data sharing and improve the efficiency of data processing. The article firstly readjusted the underlying architecture of the financial service and management platform to break through the barriers of data interaction. Then on this basis, the article further combines the support vector machine algorithm and extends it from binary data classification to multivariate classification. Finally, the paper redesigns the financial service and management platform considering support vector machines. After a series of experiments, it can be found that the financial service and management platform based on the support vector machine algorithm can reduce the financial risk by 17.2%, improve the financial service level by 30.2%, and improve the financial comprehensive service level by 45.2%. At the same time, thanks to information sharing and interaction, the financial service and management platform can effectively predict financial risks, and the accuracy of the prediction basically reaches 78.9%. This shows that a financial service and management platform that takes into account the support vector machine algorithm can effectively prevent financial risks and improve the efficiency of financial services and management.

The Blockchain Technology Applied in the Development of Real Economy in Jiangsu under Deep Learning.

This study focuses on the financing difficulties of small and medium enterprises (SMEs) in China to study the application of blockchain technology in developing the real economy. Deep learning neural network is applied to the vulnerability analysis and detection of smart contracts in blockchain technology by analyzing the connotation of blockchain technology and deep learning. A multiparty joint financial service platform based on blockchain technology is established to help SMEs financing institutions reduce transaction costs, thereby helping them reduce loan interest rates. Finally, Jiangsu Province is studied as a pilot unit. The results show that the Recall and F-score of Bidirectional Neural Network for smart contract vulnerability detection are higher than those of the original neural network. The Recall rate and F-score value of the Wide and Deep model are up to 96.2% and 94.7%, which are higher than those of other vulnerability detection schemes. The Timestamp vulnerability has the highest Recall rate, 94.2%, which can rely on a large amount of valid data to improve detection efficiency. The distribution of financing needs of SMEs in Jiangsu Province from 2020 to 2021 shows that the loan number of SMEs is generally not high. Still, financial institutions and enterprises must spend the same transaction cost. After a technology company in Nanjing made a loan through a blockchain financial service platform, its financing cost decreased by 0.5331%. Blockchain technology has played a great role in the financing process of SMEs, reducing intermediate links and credit costs, and promoting the development of SMEs and the real economy.

Supply chain finance platform evaluation based on acceptability analysis

With the rapid development of financial technology, an increasing number of supply chain finance (SCF) service platforms have sprung up to optimize the flows of financial resources, information and materials in the supply chain. The evaluation and selection of SCF platforms have consequently become critical issues not only for platform customers but also for competitors. Although the practices and challenges of SCF have been analyzed in-depth and several studies have investigated the factors that influence SCF platform performance, research on the evaluation of different SCF platforms is scarce. To comprehensively evaluate different types of SCF platforms, this study first identifies critical factors that influence the performance of SCF platforms. A stochastic multicriteria acceptability analysis for group decision-making (SMAA-2) model is then applied to address the SCF platform evaluation problem. Finally, a questionnaire survey is conducted to validate the accuracy of the proposed evaluation model. The empirical results show that the proposed method provides rankings similar to the survey results and thus is accurate and reliable. The evaluation factors and the rankings of SCF platforms can provide references and decision support not only for financial service providers and platform customers but also for regulatory institutions.

Enterprise Financial Shared Service Platform Based on Big Data

With the advent of the era of big data, the market economy continues to develop in depth, and the social division of labor is becoming more and more refined. The financial sharing platform service center can realize the transformation of financial management functions from financial accounting to management accounting according to the strategic needs of enterprises. Prevent financial risks in a timely manner, provide strong endogenous vitality and back-up support for corporate management, and promote the development of corporate economies of scale. The purpose of this paper is to study the corporate financial shared service platform based on big data. This article compares and analyzes the difference between the traditional “financial management mode” and the “shared service mode”, and at the same time proposes the impact of information technology on the financial sharing platform services in the era of big data, and then conducts the construction process and operation management status of the company’s financial sharing platform service center Describe, analyze and discuss its implementation results, existing problems, opportunities and challenges at this stage, and propose measures to be improved in response to existing problems, and put forward suggestions for optimization of the company’s financial sharing center based on the background of the big data era. The company was selected as a case study to explore its motivations for implementing the financial sharing platform service, to explain its construction plan in detail, and to analyze the benefits from different aspects. Research shows that more than 80% of the company’s accounting business vouchers are automatically generated by the business-driven system. Compared with traditional accounting methods, both the timeliness and accuracy of accounting treatment have undergone a qualitative leap.

A Method for Dynamically Assessing Credit Risk of Internet Financial Service Platform

This paper comprehensively uses the fuzzy cognitive graph method and entropy weight method to dynamically assess the credit risk of Internet financial service platforms. First, a platform credit risk indicator system was constructed. Secondly, the genetic algorithm is used to learn the fuzzy cognitive graph weight matrix. Then, the fuzzy cognitive graph inference mechanism is used to predict the dynamic changes of the credit risk index and the stable state finally achieved. Finally, combined with the index weights calculated by the entropy weight method, the credit risks of the three online lending platforms are dynamically assessed. This paper realizes the dynamic assessment and prediction of Internet financial service platforms, and provides theoretical support for the credit risk of government supervision platforms.

The construction mode of China’s science and technology financial service platform under the background of internet finance

With the rapid development of science and technology in China, the development potential of science and technology enterprises in China has gradually increased. Under the background of Internet finance, how to provide better service for science and technology finance has become a new research topic. By providing personalized services, we can optimize the regional financial ecological environment, which will alleviate the financing problem of small and medium-sized technology-based enterprises. Therefore, science and technology finance can improve the ecological system of science and technology enterprises. First, this paper analyzes the main background of the current technology finance platform. Then, according to ZhongGuanCun science and technology financial service platform model, this paper constructs a service platform model suitable for other regions. Finally, some suggestions are put forward.

Rural Financial Information Service Platform Under Smart Financial Environment

The development and improvement of agricultural financial information service system is of great significance to the development of rural modernization, the improvement of rural comprehensive competitiveness and the construction of new socialist countryside. The construction of rural financial information service platform is directly related to the quality of rural financial information service, and directly affects the construction of new socialist countryside. In order to solve the problems of information collection, processing and integration of rural financial information service platform in China, the diversification, personalization, timeliness and accuracy of information demand are difficult to be met, and the organization and operation mode of the platform are not perfect. In this paper, based on the intelligent sensor, the whole digital transformation is realized through the reference of big data. Based on this, this paper establishes the research model of rural financial information service platform under the smart financial environment. From the current situation of the construction and application of rural financial information service platform in China, it studies the basic situation of the construction of rural financial information service platform in China from three aspects of functional scope, service mode and operation mode, and draws the improvement conclusion. The results show that the efficiency of rural financial information service is increased by 20% after using the improved method in this paper, which has certain use value.

Faktor-Faktor yang Mempengaruhi Sikap dan Intensi Pengurus Koperasi Untuk Menggunakan Platform Layanan Keuangan Digital di Kota Bandung

<div><p class="1eAbstract-text">This study aims to analyze the factors that influence the attitudes and intentions of Indonesian cooperatives, especially in the city of Bandung in using digital financial service platform. The test conducted in this study is to examine the relationship between Perceived Usefulness, Perceived Ease of Use, Knowledge, Trust and Perceived Risk on Attitudes and Intentions, which are tested partially and simultaneously. The method of analysis of this research uses quantitative and qualitative approaches in the form of descriptive - verification. Hypothesis testing uses Partial Least Square (PLS) analysis with a sample of 100 respondents from 70 cooperatives conducting savings and loan activities in the city of Bandung.� The results of the analysis of research data indicate that Knowledge and Trust have a significant positive effect on Attitude and Intention. Perception of Use only has a significant positive effect on attitude. While Perception of Ease and Risk does not have a significant positive effect on Attitude and Intention. The results indicate that Knowledge and Trust have a significant positive effect on Attitude and Intention. Perceived Usefulness only has a significant positive effect on Attitude. While Perceived Ease of Use and Risk does not have a significant positive effect on both Attitude and Intention. Simultaneously all variables X explain 77.9% of Attitude and 86.5% of Intention.</p></div>

Application Research of Blockchain Technology in Financial Field

This paper focuses on the risks of fraud, credit risk, market risk and central institutions in traditional financial markets, as well as the main problems faced by blockchain technology in financial services such as supply chain finance, trade finance, credit reporting, transaction clearing, insurance, and securities. The problem, through the research and analysis of the basic model and composition technology of the block chain, proposes that the future blockchain technology in the financial field innovation and development direction is the block chain technology and distributed security authentication technology, artificial intelligence technology, security cloud storage technology and big data processing technology are effectively combined to design a financial service and management platform based on block chain

A Structural Equation Model for Emerging Needs and Changing Role of Social Media Usage as Financial Service Platform

In this Modern Era, the Major usage of social media is changing its old traditional mainstream from entertainment to the world of opportunity to work and trade. In the Emerging banking industry where customers' interaction plays a major and necessary role, Now a days, these digital communication is becoming a Predominant and strong communication channel between Customers and financial institutions. Digital Medias are considered as the most valuable tools for potential customers or clients get connected to the bank towards accessing their financial services in a most fashionable manner. Hence, the Emergence of Social Media as a major digital Platform which plays a major and replacing traditional way of getting financial services to a most modern way of accessing such financial services and its related information. In this paper, the researcher tries to portray the emerging importance of social media as a technological innovative platform which in turn plays a major role in Digital Banking and its related services. One way the researcher tries to bring the growing importance and need of these social media as innovative technological platform readily developing in banking sector where in customer could be able to access and do financial transactions in a most simpler and economical manner.

Money Resolutions, Digital Simulations

This paper explores how the broad financial decision-making practices commonly employed by poor people (as depicted in the companion paper Money Resolutions, A Sketchbook) could be supported through a digital financial service platform. We focus on two particular practices: money animation and liquidity farming. We frame these solutions in the context of a broader discussion of what it means to be customer-centric in a digital service context.