The Evaluation System of Online P2P Lending Platforms Based on AHP -- in the Perspective of Lenders

This paper establishes an objective and comprehensive evaluation index system of online P2P lending platforms based on the online P2P lending theory with the Analytic Hierarchy Process in the perspective of lenders. It also makes the empirical analysis which takes ten P2P platforms as examples. The results show that the evaluation system is scientific and reasonable, which can provide references of the rational choice of investment platform for lenders

P2P LENDING PLATFORM EVALUATION OF OPERATING PECULIARITIES

Rapidly evolving financial technologies (FinTech) are changing established, time-tested financial services delivery and competition strategies. The growing diversity of financial services is evolving entrepreneurial ecosystems, making it a challenge for all financial market participants. One of the largest Fintech markets in Lithuania is the lending market. This market acts as an alternative to traditional financial institutions’ credit and distinguish by its relatively new and developing. Therefore, the research aims to evaluate the activities and peculiarities of operating lending platforms in Lithuania. The analysis uses P2P lending market development indicators, return and risk identified and analyzed in the research. The study revealed that the portfolio of consumer loans provided through operators of P2P lending platforms is growing steadily every year. AB NEO Finance maintains the same tendencies and secures a leading position in the Lithuanian P2P lending market. AB NEO Finance stands out as the only one of all P2P lending platforms, because it is listed on Lithuania’s stock exchange. It covers more than half of the P2P lending market regarding the amount and number of disbursed consumer loans. Were found that the remaining loan repayment is proliferating in the P2P lending market. However, AB NEO Finance is experiencing a lower number of overdue payment days than the P2P lending market, which indicates a lower risk. Keywords: P2P lending platform, AB NEO Finance, P2P lending market. JEL codes: G2

A Hybrid Simulation Framework of Consumer-to-Consumer Ecommerce Space

In the past decade, ecommerce transformed the business models of many organizations. Information Technology leveled the playing field for new participants, who were capable of causing disruptive changes in every industry. Web 2.0 or Social Web further redefined ways users enlist for services. It is now easy to be influenced to make choices of services based on recommendations of friends and popularity amongst peers. This research proposes a simulation framework to investigate how actions of stakeholders at this level of complexity affect system performance as well as the dynamics that exist between different models using concepts from the fields of operations engineering, engineering management, and multi-model simulation. Viewing this complex model from a systems perspective calls for the integration of different levels of behaviors. Complex interactions exist among stakeholders, the environment and available technology. The presence of continuous and discrete behaviors coupled with stochastic and deterministic behaviors present challenges for using standalone simulation tools to simulate the business model. We propose a framework that takes into account dynamic system complexity and risk from a hybrid paradigm. The SCOR model is employed to map the business processes and it is implemented using agent based simulation and system dynamics. By combining system dynamics at the strategy level with agent based models of consumer behaviors, an accurate yet efficient representation of the business model that makes for sound basis of decision making can be achieved to maximize stakeholders\u27 utility

Srovnání spotřebitelských úvěrů a P2P úvěrování v Číně

In recent years, China's economic development is sound, promoting the arrival of the era of financial technology. The progress and innovation of financial technology have brought great impact and challenge to China's banking industry. Consumer credit, the main source of revenue for commercial Banks, has been hardest hit. With its technical advantages, Internet finance can accurately analyze and predict customers' risk appetite and potential financial needs. P2P lending is an indispensable part of Internet finance. The rapid development of P2P lending in China has also had a negative impact on bank lending. At present, there is a competitive relationship between P2P lending and commercial bank lending. Studying the long-term stability of this relationship is conducive to the stable and healthy development of China's financial market. The purpose of this paper is to make a comprehensive comparison between bank consumer loans and P2P lending in China. Several different Chinese Banks and P2P lending platforms are selected for detailed comparison. Based on the multi-criteria decision analysis method, we found the best choice of customer loan. There are many big Banks in China, and P2P lending is also developing rapidly in China, so it is necessary for consumers to make more favorable choices. This paper is divided into five chapters. The first part is the introduction of the paper. The second part is the introduction of the characteristics of China's banking industry. The third chapter is the characteristics of financial technology and banking products. The fourth chapter will use the multi-criteria analysis method to compare China's bank consumer loans and P2P lending. The last chapter is the conclusion of this paper.In recent years, China's economic development is sound, promoting the arrival of the era of financial technology. The progress and innovation of financial technology have brought great impact and challenge to China's banking industry. Consumer credit, the main source of revenue for commercial Banks, has been hardest hit. With its technical advantages, Internet finance can accurately analyze and predict customers' risk appetite and potential financial needs. P2P lending is an indispensable part of Internet finance. The rapid development of P2P lending in China has also had a negative impact on bank lending. At present, there is a competitive relationship between P2P lending and commercial bank lending. Studying the long-term stability of this relationship is conducive to the stable and healthy development of China's financial market. The purpose of this paper is to make a comprehensive comparison between bank consumer loans and P2P lending in China. Several different Chinese Banks and P2P lending platforms are selected for detailed comparison. Based on the multi-criteria decision analysis method, we found the best choice of customer loan. There are many big Banks in China, and P2P lending is also developing rapidly in China, so it is necessary for consumers to make more favorable choices. This paper is divided into five chapters. The first part is the introduction of the paper. The second part is the introduction of the characteristics of China's banking industry. The third chapter is the characteristics of financial technology and banking products. The fourth chapter will use the multi-criteria analysis method to compare China's bank consumer loans and P2P lending. The last chapter is the conclusion of this paper.154 - Katedra financívýborn

Sustainability, Digital Transformation and Fintech: The New Challenges of the Banking Industry

In the current competitive scenario, the banking industry must contend with multiple challenges tied to regulations, legacy systems, disruptive models/technologies, new competitors, and a restive customer base, while simultaneously pursuing new strategies for sustainable growth. Banking institutions that can address these emerging challenges and opportunities to effectively balance long-term goals with short-term performance pressures could be aptly rewarded. This book comprises a selection of papers addressing some of these relevant issues concerning the current challenges and opportunities for international banking institutions. Papers in this collection focus on the digital transformation of the banking industry and its effect on sustainability, the emergence of new competitors such as FinTech companies, the role of mobile banking in the industry, the connections between sustainability and financial performance, and other general sustainability and corporate social responsibility (CSR) topics related to the banking industry. The book is a Special Issue of the MDPI journal Sustainability, which has been sponsored by the Santander Financial Institute (SANFI), a Spanish research and training institution created as a collaboration between Santander Bank and the University of Cantabria. SANFI works to identify, develop, support, and promote knowledge, study, talent, and innovation in the financial sector

An explorative study into the effect of Information Technology in streamlining the access to development finance, for Small, Medium and Micro Enterprises (SMMEs) in South Africa

This study was concerned with exploring and describing a solution to optimise access to development finance for SMMEs in South Africa. SMMEs and entrepreneurs have long been identified as key drivers of economic development, job creation, and poverty elevation. In response to this and, in an effort to support SMMEs, the South African Government has established a number of development finance institutions with a specific mandate to support SMMEs by providing them with both financial and non-financial support. However, this much-needed support is constrained by several independent factors. The objective of the study was to identify information technologies that are currently available in the financial sector and explore how they can be integrated into development finance institutions (DFIs) and SMMEs to streamline their access to finance. The research started with a structured literature review, followed by a qualitative case study research design, and utilised ten (10) embedded units of analysis. These respondents consisted of industry experts in the field of SMME finance, senior employees within the sampled developmental finance institutions, as well as experts in the financial technology sector. The findings of the study, through the views of the sampled industry experts and relevant literature reviewed, revealed that it can be collectively summarised that there is a need for information technology such as Fintech in the development finance and SMME sector in South Africa. It is evident that a need exists to streamline the current application process to access development finance for SMMEs looking for finance. There is a significant misalignment between the current demand for development finance by SMMEs and the magnitude of finance supplied by DFIs to SMMEs looking for finance. The study then concluded with practical recommendations for the streamlining of development finance by using relevant Fin tech solutions.Thesis (MBA) -- Faculty of Business and Economic Science, 202

Optimization for Decision Making II

In the current context of the electronic governance of society, both administrations and citizens are demanding the greater participation of all the actors involved in the decision-making process relative to the governance of society. This book presents collective works published in the recent Special Issue (SI) entitled “Optimization for Decision Making II”. These works give an appropriate response to the new challenges raised, the decision-making process can be done by applying different methods and tools, as well as using different objectives. In real-life problems, the formulation of decision-making problems and the application of optimization techniques to support decisions are particularly complex and a wide range of optimization techniques and methodologies are used to minimize risks, improve quality in making decisions or, in general, to solve problems. In addition, a sensitivity or robustness analysis should be done to validate/analyze the influence of uncertainty regarding decision-making. This book brings together a collection of inter-/multi-disciplinary works applied to the optimization of decision making in a coherent manner

Operational research and artificial intelligence methods in banking

Supplementary materials are available online at https://www.sciencedirect.com/science/article/pii/S037722172200337X?via%3Dihub#sec0031 .Copyright © 2022 The Authors. Banking is a popular topic for empirical and methodological research that applies operational research (OR) and artificial intelligence (AI) methods. This article provides a comprehensive and structured bibliographic survey of OR- and AI-based research devoted to the banking industry over the last decade. The article reviews the main topics of this research, including bank efficiency, risk assessment, bank performance, mergers and acquisitions, banking regulation, customer-related studies, and fintech in the banking industry. The survey results provide comprehensive insights into the contributions of OR and AI methods to banking. Finally, we propose several research directions for future studies that include emerging topics and methods based on the survey results

BIG DATA FOR COMPREHENSIVE ANALYSIS OF REAL ESTATE MARKET

This Culminating Experience Project explored the application of big data in the real estate industry in order to address the problem of analyzing the accurate property estimates value. The research questions were: (Q1): What are the benefits and advantages of utilizing big data in the real estate market? (Q2): What are the trends in the application of big data in the real estate market? (Q3): What are the challenges in applying big data in the real estate market? (Q4): What are the methods and processes of applying big data in appraisal of assets in the real estate market? To answer these four questions, this study used qualitative and quantitative methodology, content analysis conducted on data collected through Google Scholar, and One Search for industry reports, conference papers, and select literature about big data adoption trends in the real estate industry. The findings were as follows: (Q1): The benefits of using big data analytics are to help clients to make the right decisions and advice, have higher efficiency for appraisals, better risk evaluation of risk in the real estate industry simplifying applications in valuations and pricing. (Q2): there is anecdotal evidence that real estate has already started adopting big data. Adoption is most likely to be beneficial for first mover industry players at the top of the industry pyramid including investment banks, commercial banks, and mortgage banks that hold the highest interest in the real estate industry. (Q3): complexity of big data solutions and the costs of implementation are a major challenge while smaller players such as real estate agents and brokers do not find utility or justification for the huge investment in big data. (Q4): the development of algorithms remains as the main process of applying big data solutions as there are no off-the-shelf big data solutions for the real estate industry. Adoption of Machine learning (ML) and Artificial Intelligence (AI) in real estate would help buyers and sellers to learn from data and make informed decisions. The conclusions of the culminating experience project are Real Estate Industry has a low adoption of big data solutions because many of the players in the industry have not yet learned how to translate big data to business objectives. Areas of further studies include the development of models and algorithms for use by the real estate industry

Contemporary Research on Management and Business

This book contains 74 selected papers presented at the 5th International Seminar of Contemporary Research on Business and Management (ISCRBM 2021), which was organized by the Alliance of Indonesian Master of Management Program (APMMI) and held in Jakarta, Indonesia on 18 December 2021. This online conference was hosted by the Master of Management Program of Indonesia University. This year, ISCRBM focused on research related to driving sustainable business through innovation. Business has had to deal with the Covid-19 pandemic, so a new approach towards managing business to survive competition is indispensable. Innovation is the key for all organizations in surviving in the new normal and beyond. The Seminar aimed to provide a forum for leading scholars, academics, researchers, and practitioners in the business and management area to reflect on the issues, challenges and opportunities, and to share the latest innovative research and best practices. This seminar brought together participants to exchange ideas on the future development of management disciplines: human resource, marketing, operation, finance, strategic management and entrepreneurship