Academic literature on the topic 'Online loans'
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Journal articles on the topic "Online loans"
Dwipayana, Dimas Pramodya. "LEGAL PROTECTION FOR DEBTORS OF ONLINE LOANS." Legal Standing : Jurnal Ilmu Hukum 4, no. 1 (April 25, 2020): 46. http://dx.doi.org/10.24269/ls.v4i1.2590.
Full textWardani, Dewi Kusuma, Simon Pulung Nugroho, and Adia Adi Prabowo. "PENGARUH PERSEPSI ETIS DAN RELIGIUSITAS TERHADAP NIAT UMKM MELAKUKAN PINJAMAN ONLINE PADA MASA COVID-19." Kajian Bisnis Sekolah Tinggi Ilmu Ekonomi Widya Wiwaha 29, no. 2 (August 16, 2021): 81–92. http://dx.doi.org/10.32477/jkb.v29i2.296.
Full textWahyuni, Raden Ani Eko. "Strategy Of Illegal Technology Financial Management In Form Of Online Loans." Jurnal Hukum Prasada 7, no. 1 (April 7, 2020): 27–33. http://dx.doi.org/10.22225/jhp.7.1.1324.27-33.
Full textVirgionandy, Rizkyka, Lalu Husni, and Muhaimin Muhaimin. "The Legal Liability of Fintech Companies for Accessing Telephone Contact Lists and Photo Galleries in the Online Loan Process." International Journal of Multicultural and Multireligious Understanding 8, no. 2 (February 4, 2021): 191. http://dx.doi.org/10.18415/ijmmu.v8i2.2411.
Full textSeon, Junghoon, and Sukman Han. "Herd Behavior of Investors and Default Risks of P2P Online Lending." Korean Journal of Financial Studies 50, no. 3 (June 30, 2021): 315–37. http://dx.doi.org/10.26845/kjfs.2021.06.50.3.315.
Full textAkib, Ma’ruf. "AN ONLINE CREDIT AGREEMENT WITH COLLATERAL IN INDONESIA." International Journal of Law Reconstruction 5, no. 1 (April 29, 2021): 37. http://dx.doi.org/10.26532/ijlr.v5i1.15484.
Full textSari, Marta Widian, and Andry Novrianto. "ANALYZING SEVERAL FACTORS THAT INFLUENCE PEOPLE TO MAKE LOANS ONLINE." JHSS (JOURNAL OF HUMANITIES AND SOCIAL STUDIES) 4, no. 2 (September 29, 2020): 179–84. http://dx.doi.org/10.33751/jhss.v4i2.2492.
Full textZhou, Yimin, and Xu Wei. "Joint liability loans in online peer-to-peer lending." Finance Research Letters 32 (January 2020): 101076. http://dx.doi.org/10.1016/j.frl.2018.12.024.
Full textShi, Zhaomin. "Credit versus Online Loans: A Case Study from China." Journal of Management and Humanity Research 3 (July 15, 2020): 1–8. http://dx.doi.org/10.22457/jmhr.v03a01101.
Full textKamau, Charles Guandaru. "Digital Credit in Kenya: A Survey of Costs, Uses and Borrowers Considerations in Relation to Loan Uptake." East African Journal of Business and Economics 3, no. 1 (September 8, 2021): 164–72. http://dx.doi.org/10.37284/eajbe.3.1.402.
Full textDissertations / Theses on the topic "Online loans"
León, Horna Segundo Eliseo. "Sistema de información para la gestión de financiación participativa de préstamos de consumo." Bachelor's thesis, Universidad Peruana de Ciencias Aplicadas (UPC), 2020. http://hdl.handle.net/10757/654656.
Full textFintech companies are reshaping the global financial industry through disruptive business models that until a few years ago werbelieved impossible to carry out. This is the case of alternative loans such as crowdlending that allows loans between individuals and eliminates financial intermediation. Creating an online loan marketplace that brings together investors and borrowers, both with different needs, the former in search of better returns on their investment, while the latter in search of quick loans and favorable conditions. Recently in Peru, companies that offer this type of service have emerged and are beginning to alter the supremacy of traditional banking. In this context, the main objective of this work is to design and build an alternative loan platform that allows the management of investors and borrowers, the registration and evaluation of credit applications, automatic and manual investment in loans, the processing and allocation of payments and tracking performance with reports. Regarding the credit evaluation, it is carried out by an Expert System developed in CLIPS and used through a web service. Finally, for this work the guidelines of the RUP methodology have been followed, diagrams have been drawn using the UML modeling language, and the guides and good practices provided by the PMI have been considered. Hoping that this solution will help the company under study and serve as a starting point for future research.
Tesis
CAMILO, BERNARDO DE CAMPOS VIDAL. "AN EXPERIMENTAL EVALUATION OF CONSISTENT HASHING WITH BOUNDED LOADS IN ONLINE VIDEO DISTRIBUTION." PONTIFÍCIA UNIVERSIDADE CATÓLICA DO RIO DE JANEIRO, 2018. http://www.maxwell.vrac.puc-rio.br/Busca_etds.php?strSecao=resultado&nrSeq=35869@1.
Full textVideo consumption accounts for a large part of Internet traffic today and tends to increase further in the next years. In this work, we investigate ways to improve caching in video content delivery networks (CDNs) to reduce their response time and increase the users quality of experience. From the analysis of different techniques, we concluded that consistent hashing with bounded loads has interesting characteristics for this purpose and fits adequately to the video delivery scenario. In order to verify its performance, we created an experimentation platform and, using data from a real video CDN, confronted it with the consistent hashing and the least connections balancing method, all implemented in an equivalent manner to permit a fair comparison. Lastly, we discussed the results of this evaluation, highlighting the benefits and limitations of this technique in the considered context.
Anderson, Joanna M., and Alison DePollo. "Distance Education and InterLibrary Loan Services in Student Success: Allies in the Library." Digital Commons @ East Tennessee State University, 2012. https://dc.etsu.edu/etsu-works/397.
Full textLIN, MENG-HUNG, and 林孟宏. "A Study of Online Credit Scoring Mechanism for Micro-Enterprises Loans." Thesis, 2016. http://ndltd.ncl.edu.tw/handle/51572333194231899897.
Full text國立臺北大學
國際財務金融碩士在職專班
104
The SMEs of Taiwan provide a large number of jobs. It is also an important role for the economic development of Taiwan. In daily business during the operation, enterprises also must have working capital funds. These funds are not only from personal loans, but also through bank loans. But the bank loans related financial products are difficult for micro-enterprises to apply. In addition to its own financial process not clear and can not be evaluated. Most of that are due to the reason that smaller companies are belonged to the founders. The e-commerce becomes more popular today, and drives most companies to use that. They hope to transfer most of the procurement and sales process to integration with information, logistics and cash flow of sales platform. In addition to reducing the labor costs and increase revenues, getting promotion and sell's speed. At this time, a lot of banks want to become type of Bank 3.0 and Internet banking. They just hope not only provide traditional financial, but also generate new financial product or business. This study is based on bank's loans reference factor, and collects more factors from internet sales platform of micro-enterprises. Then through a questionnaire for micro-enterprises and bank client interviews, and finally to explore all factors that can be used for reference between the two parties. Finally to identify the effect of give/provide the loan or not, interest rate and the amount of loans. These maybe could help bank to provide more complete measure of credit rating when provide loans and then enhance the bank's loan-ratio. That will give funds easier for most of the online sale of micro-enterprises. Let micro-enterprises, banks and internet sales platform can win for each other.
Chen, Wen-Chun, and 陳玟君. "A Study on the Satisfaction of Online Loans Based on Technology Acceptance Model." Thesis, 2015. http://ndltd.ncl.edu.tw/handle/24295384337471937273.
Full text世新大學
資訊傳播學研究所(含碩專班)
104
With the advent of the digital age, the financial supervisory commission (fsc) promotes the financial 3.0 policy, which leads to significant change over the operation modes of traditional domestic financial markets. That the usage of intelligence technology, for example, customers can deal with many bank businesses, even not need to go out, so it greatly enhances the working efficiency and helps to avoid from lining up to save time. Therefore, an important issue which currently exists is how to attract the attentions of the customers when each of banks copes with the same business. Banks should consider how to establish a good corporate image and leave a good deep impression to customers so as to improve customer satisfaction and increase willingness to purchase. Furthermore, banks need to work hard to create business opportunity, create customer valuation, maintain long-term stable relationship of customers and banks, and strengthen their competitive advantages so as to stand out. This study adopts the technology acceptance mode 3 to explore the satisfaction among different groups of consumers about the usage of online loan application platform; therefore, it is expected to find out the most suitable ethnic groups of using the platform, so as to plan the appropriate marketing projects. On the practical suggestion, when banks hold marketing activities combined with new technologies, customers obviously consider whether the user interface is simple, easy to use, or helpful, which are the key factors that customers are willing to continue to use online loan application system.therefore, banks have to not only establish good corporate image, but also continue to follow the new technologies of the era in order to create more business opportunities.
Lin, Yun-Hua, and 林芸樺. "A Study on Customers’ Intention to Loan Online." Thesis, 2016. http://ndltd.ncl.edu.tw/handle/30454129009201243196.
Full text世新大學
資訊傳播學研究所(含碩專班)
104
With the advancement of technology, the popularity of mobile devices not only consumer behavior but also interactions between banks and customers have gradually changed. In the era of Bank 3.0, bank reforms are necessary. Corresponding authorities have gradually speeded up the pace of reforming some related regulations and laws. One of the areas with regulation reform relates to consumer loans, which may strongly affect people’s lives. Against this background this study uses Unified Theory of Acceptance and Use of Technology (UTAUT ) as base and adds a trust element into the research concept to empirically investigate consumers’ willingness to use online loan services. This study applied a questionnaire-based survey method to collect data. Pre-tests were carried out before the official survey. The survey period was from May 21, 2016 to June 21, 2016. In total 341 valid questionnaires were collected. This study used the SPSS 21 statistical software package to analyze questionnaire. The results show that performance expectancy, effort expectancy, social influence, and trust positively affect consumers’ willingness to use online loan services. Moreover, individuals’ age but not their monthly income was found to be able to moderate the influence of effort expectancy on consumers’ willingness to use online loan services.
Wu, Wei-Han, and 吳維翰. "Influene of using online loan application on customer loyalty." Thesis, 2015. http://ndltd.ncl.edu.tw/handle/42704769358999534778.
Full text中國文化大學
國際企業管理學系碩士在職專班
103
In Brett King's book BANK 3.0 book, such as the cover at the outset, wrote: Bank-ing is no longer a place you go, but something you do, with the development of tech-nology in the next generation of consumer awareness, the bank has gradually by the concept of a production field, converted to ubiquitous services; today, as long as the In-ternet or communications reach, can become the bank's range of services, it has long been an indisputable fact. The main objectives of this study to explore the experience through the use of online bank customers to apply for credit business, hoping to use the Internet in order to understand customer satisfaction situation of the banks for the credit business, and by research hypothesis verification, in order to provide the customer bankers Learn to help the industry improve customer satisfaction, and enhance competitiveness. Formal ques-tionnaire to Taipei Cathay United Bank customers to use the service of the question-naires were recovered effective sample of 329 people. The results show that perceived value to customer satisfaction and complaint behavior and handling of customer satis-faction, customer satisfaction to customer loyalty, complaining behavior and the han-dling of customer loyalty, perceived value of customer loyalty are showing significant positive correlation, In other words, perceived value and complaint behavior online bank for credit business process, customer satisfaction and loyalty, the higher will, therefore how to enhance customer perceived value and proper complaint handling behavior online bank, will be to enhance Internet Banking Customer Satisfaction and Loyalty top of the road.
HUANG, JHIH-HUEI, and 黃智暉. "Predicting the Failure of Chinas Online Loan Platform with Machine Learning Models." Thesis, 2019. http://ndltd.ncl.edu.tw/handle/5m43g4.
Full text國立屏東大學
商業自動化與管理學系碩士班
107
In recent years, the P2P(Peer-to-Peer) online lending platform has developed rapidly. China is currently the worlds largest P2P lending market. But in the past few years, thousands of Chinese P2P platforms have failed and have closed down. Most P2P online lending platforms focus on the research of platform mechanisms and transaction data. This study takes Chinas P2P online lending platform as the research object, collects the public information of about 3,033 online lending platforms from Chinas P2P online lending platform from 2014 to 2018 as research variables, and constructs predictive impact platform persistence mode by four machine learning methods. The results of the study show that all four machine learning models have excellent or excellent predictive power. The research results also found that company licenses, bank depository, and supervision characteristics are important variables that affect the survival of the platform. The results of this study can be used as a support tool for investment strategy evaluation by borrowers and investors of the P2P online lending platform.
YEH, HSIN-YI, and 葉昕宜. "Data Science for Loan Default Probability Prediction in Online Peer-to-Peer Lending." Thesis, 2019. http://ndltd.ncl.edu.tw/handle/ur7f37.
Full text輔仁大學
資訊管理學系碩士班
107
In recent years, P2P lending had become a global trend because of the development of financial technology. P2P lending is a way of crossfunding from the lenders through the Internet, and then loaning the collected funds to the borrower. As an example of Lending Club, the world's largest online P2P lending market. Since 2011, the number of loans and the amount of loans were increase year over year. In 2017, there were 750,000 loans, and the loan amount was reach up to 8.9 billion. In traditional financial institutions, there will be strict review criteria and access to important credit score of the borrower. The P2P platform was designed to eliminate the cumbersome lending process of financial institutions from the huge amount of data collected in the past, then analyzed historical through data exploration. This study will build a credit scoring model through machine learning to eliminate guesswork in financial decisions. This study proposes a data science framework to solve the probability of default in P2P lending based on machine learning. This process included data preprocessing, imbalanced data processing, feature selection, learning algorithm, optimization model hyperparameter, evaluation method and feature importance ranking. In the case of Lending Club, using different imbalance methods to sample features like personal characteristics, credit data, and platform, then use the LASSO algorithm to select the important features. This study created multiple models like logistic regression, neural network, random forest and XGBoost, then find the best hyperparameters for each model using the particle swarm optimization algorithm. Finally, using different metrics to evaluate those models, and find the important features to predict the probability of default of the borrower. This study will demonstrate the feasibility and effectiveness of the P2P credit risk model.
Lin, Lih-Ju, and 林麗珠. "A Study of Demand on the Cancellation of Vehicle Loan in Online System Service -The Case of Motor Vehicles Office Taipei City Government." Thesis, 2007. http://ndltd.ncl.edu.tw/handle/19708204692937006543.
Full text世新大學
行政管理學研究所(含博、碩專班)
95
Accompanied with a development of the internet and digital technology, currently internet indeed has brought on a likely vision in spite of the government function and business running , even family or personal daily life which are very close with the internet. Due to the prevalence of e-government and promoted by the authorities concerned, the service style for the civil conducted by government organizations has utilized the prevailing internet instead of early transaction on site. Government then can take advantage of the merit to deliver information and service to the people and business directly. Motor Vehicles Office control the vehicles and driver’s data of the nation, the amount of vehicles has been over 20 million and driver’s licenses over 22 million in 2006. In order to deal with so tremendous business affairs and decrease coming of the civil to the office, M.V.O. had launched some convenient and automatic service by means of digital technology, such as single-window access, one stop government, e-form, application of vehicle items and tax paying by internet. The text tends to proceed to the study concerning the cancellation of vehicle loan registration. The method of study adopt in-depth interview versus related stakeholders and try to use the model of internet application instead of counter transaction on site or communication. The purpose of the study is to explore the demand of the related stakeholders（such as banks, motor companies and officers of the M.V.O.）in this innovational service item. In one word , the key point of this innovation service, is not only the correction of law, induction the information technology, specification in administrativel duty , but also on mastering the mechanism of security efficiently.
Books on the topic "Online loans"
Joch, Alan. How to find money online: An Internet-based capital guide for entrepreneurs. New York: McGraw-Hill, 2001.
Find full textHow to Find Money Online: An Internet-Based Capital Guide for Entrepreneurs. McGraw-Hill Companies, 2000.
Find full textJoch, Alan. How to Find Money Online: An Internet-Based Capital Guide for Entrepreneurs. McGraw-Hill Companies, 2000.
Find full textUnited States. Dept. of Education. Student Financial Assistance Programs, ed. SFA BBS: Student Financial Assistance Bulletin Board System. [Washington, D.C.?]: U.S. Dept. of Education, Student Financial Assistance Programs, 1995.
Find full textUnited States. Dept. of Education. Student Financial Assistance Programs., ed. SFA BBS: Student Financial Assistance Bulletin Board System, version 2.0. [Washington, D.C.?]: U.S. Dept. of Education, Student Financial Assistance Programs, 1996.
Find full textSams Teach Yourself Today: e-Real Estate : Buying, Selling and Financing a Home Online. Sams Publishing, 1999.
Find full textLibrary, North Dakota State, ed. Networking and document delivery manual, 2003. Bismarck, ND: North Dakota State Library, 2003.
Find full textCraig, Haynes, Welch C. Brigid, and Association of Research Libraries. Systems and Procedures Exchange Center., eds. Providing public services to remote users. Washington, DC: Association of Research Libraries, Office of Management Services, 1993.
Find full textBook chapters on the topic "Online loans"
Wang, Jiazhuo G., and Juan Yang. "The New Membership of Loan Club—P2P Online Lending." In Financing without Bank Loans, 55–72. Singapore: Springer Singapore, 2016. http://dx.doi.org/10.1007/978-981-10-0901-3_5.
Full textKim, Jin Ryong, Il Kyu Park, and Kwang Hyun Shim. "The Effects of Network Loads and Latency in Multiplayer Online Games." In Entertainment Computing – ICEC 2007, 427–32. Berlin, Heidelberg: Springer Berlin Heidelberg, 2007. http://dx.doi.org/10.1007/978-3-540-74873-1_53.
Full textDagba, Théophile K., Ercias Lohounmè, and Ange Nambila. "A Web Services Based Solution for Online Loan Management via Smartphone." In Intelligent Information and Database Systems, 217–26. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-28490-8_23.
Full textWang, Lei, Shiwen Yu, and Houfeng Wang. "Construction of an Online Lexicon of Chinese Loan Words and Phrases Translated from English." In Lecture Notes in Computer Science, 349–56. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-73573-3_32.
Full textKandappan, V. A., and A. G. Rekha. "Machine Learning in Finance: Towards Online Prediction of Loan Defaults Using Sequential Data with LSTMs." In Advances in Intelligent Systems and Computing, 53–62. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-1696-9_5.
Full textXie, Wangsong. "The Analysis on the Application of Machine Learning Algorithms in Risk Rating of P2P Online Loan Platforms." In Advances in Intelligent Systems and Computing, 1426–33. Singapore: Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-33-4572-0_206.
Full textHoque, Md Aynul, Rajah Rasiah, Fumitaka Furuoka, Sameer Kumar, Md Mahbubur Rahman Siddique, and Sanjay Krishno Biswas. "The Effects of the COVID-19 Pandemic on the Readymade Garments Workers in Bangladesh." In Advances in Religious and Cultural Studies, 137–52. IGI Global, 2021. http://dx.doi.org/10.4018/978-1-7998-7480-5.ch010.
Full textTambunan, Tulus. "Small Business in Indonesia." In Handbook of Research on Innovation and Development of E-Commerce and E-Business in ASEAN, 98–117. IGI Global, 2021. http://dx.doi.org/10.4018/978-1-7998-4984-1.ch006.
Full textHershkoff, Helen, and Stephen Loffredo. "Consumer Rights and Credit Protection." In Getting By, 521–634. Oxford University Press, 2019. http://dx.doi.org/10.1093/oso/9780190080860.003.0006.
Full textMishra, Swati, and Sanjaya Kumar Panda. "An Efficient Server Minimization Algorithm for Internet Distributed Systems." In Research Anthology on Architectures, Frameworks, and Integration Strategies for Distributed and Cloud Computing, 1418–31. IGI Global, 2021. http://dx.doi.org/10.4018/978-1-7998-5339-8.ch069.
Full textConference papers on the topic "Online loans"
Blazhekovikj Toshevski, Marina. "Online Loans – New Business model on the Macedonian Financial Market." In International conference on Applied Internet and Information Technologies. University "St. Kliment Ohridski" Bitola, Macedonia, 2016. http://dx.doi.org/10.20544/aiit2016.47.
Full textKuznetsova, Valentina, Iskandar Azhmuhamedov, and Oleg Protalinskiy. "Social Media Analytics for Better Detection of Fraudulent Applications for Online Microfinance Loans." In 2019 International Conference on Engineering and Telecommunication (EnT). IEEE, 2019. http://dx.doi.org/10.1109/ent47717.2019.9030547.
Full textYu, Xuan, and Rong Zhang. "Research on the Motivation and Countermeasures of College Students’ Online Loans from the Perspective of Social Support Theory." In 2021 International Conference on Modern Educational Technology and Social Sciences (ICMETSS 2021). Paris, France: Atlantis Press, 2021. http://dx.doi.org/10.2991/assehr.k.210824.028.
Full textAlahyari, Arman, and David Pozo. "Online Demand Response for End-User Loads." In 2019 IEEE Milan PowerTech. IEEE, 2019. http://dx.doi.org/10.1109/ptc.2019.8810837.
Full textWang, Huaping, Yanxin Guo, Qiming Li, Si-Yuan Feng, Xiang-Shu Gong, and Xin Jing. "Optical fiber based pressure sensors developed for monitoring vehicle loads of asphalt pavements." In Optics Frontiers Online 2020: Distributed Optical Fiber Sensing Technology and Applications (OFO-3), edited by Jiaqi Yan. SPIE, 2021. http://dx.doi.org/10.1117/12.2585513.
Full textWang, Huaping, Yanxin Guo, Qiming Li, Si-Yuan Feng, Xiang-Shu Gong, and Xin Jing. "Optical fiber based pressure sensors developed for monitoring vehicle loads of asphalt pavements." In Optics Frontiers Online 2020: Distributed Optical Fiber Sensing Technology and Applications (OFO-3), edited by Jiaqi Yan. SPIE, 2021. http://dx.doi.org/10.1117/12.2585513.
Full textLi, Mengran, and Chengyue Yin. "Exploratory Research on Campus Online Loan Behavior of College Students." In 2018 2nd International Conference on Education Science and Economic Management (ICESEM 2018). Paris, France: Atlantis Press, 2018. http://dx.doi.org/10.2991/icesem-18.2018.18.
Full textJiang, Chenqi, and Caixia Zhou. "Risk Prevention of P2P Online Loan Based on the Criteria of Selection of Commercial Bank Loan." In Proceedings of the 2019 3rd International Conference on Education, Management Science and Economics (ICEMSE 2019). Paris, France: Atlantis Press, 2019. http://dx.doi.org/10.2991/icemse-19.2019.148.
Full textSaeed, Aamir, Rasmus Lovenstein Olsen, and Jens Myrup Pedersen. "Optimizing the Loads of Multi-Player Online Game Servers Using Markov Chains." In 2015 24th International Conference on Computer Communication and Networks (ICCCN). IEEE, 2015. http://dx.doi.org/10.1109/icccn.2015.7288445.
Full textBazrafshan, Mohammadhafez, Hao Zhu, Amin Khodaei, and Nikolaos Gatsis. "Online Demand Response of Voltage-Dependent Loads for Corrective Grid De-Congestion." In 2019 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids (SmartGridComm). IEEE, 2019. http://dx.doi.org/10.1109/smartgridcomm.2019.8909695.
Full textReports on the topic "Online loans"
Avellán, Leopoldo, Claudia Calderón, Giulia Lotti, and Z’leste Wanner. Knowledge for Development: the IDB's Impact in the Region. Inter-American Development Bank, July 2021. http://dx.doi.org/10.18235/0003387.
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