IDEAS home Printed from https://ideas.repec.org/a/aes/infoec/v18y2014i4p111-119.html
   My bibliography  Save this article

Web Service for Calculating the Probability of Returning a Loan – De-sign, Implementation and Deployment

Author

Listed:
  • Julian VASILEV

Abstract

The purpose of this paper is to describe the process of designing, creating, implementing and deploying a real web service. A basic theory approach is used to analyze the implementation of web services. An existing profit model is used. Its business logic is integrated within a web ser-vice. Another desktop application is created to demonstrate the use of the recently created web service. This study shows a methodology for fast development and deployment of web services. The methodology has wide practical implications – in credit institutions and banks when giving a loan. This study is the first of its kind to show the design, implementation and deployment of a web service for calculating the probability of returning a loan. The methodology may be used for the encapsulation of other business logic into web services.

Suggested Citation

  • Julian VASILEV, 2014. "Web Service for Calculating the Probability of Returning a Loan – De-sign, Implementation and Deployment," Informatica Economica, Academy of Economic Studies - Bucharest, Romania, vol. 18(4), pages 111-119.
  • Handle: RePEc:aes:infoec:v:18:y:2014:i:4:p:111-119
    as

    Download full text from publisher

    File URL: http://www.revistaie.ase.ro/content/72/10%20-%20Vasilev.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Catalin STRIMBEI, 2013. "SOA based Data Architecture for HTML5 Web Applications," Informatica Economica, Academy of Economic Studies - Bucharest, Romania, vol. 17(2), pages 84-95.
    2. Paul POCATILU, 2013. "Developing an M-Learning Application for iOS," Informatica Economica, Academy of Economic Studies - Bucharest, Romania, vol. 17(4), pages 77-86.
    3. Octavian DOSPINESCU & Marian PERCA, 2013. "Web Services in Mobile Applications," Informatica Economica, Academy of Economic Studies - Bucharest, Romania, vol. 17(2), pages 17-26.
    4. Wongnaa, C. A. & Awunyo-Vitor, D., 2013. "Factors Affecting Loan Repayment Performance Among Yam Farmers in the Sene District, Ghana," AGRIS on-line Papers in Economics and Informatics, Czech University of Life Sciences Prague, Faculty of Economics and Management, vol. 5(2), pages 1-12, June.
    5. Demian Horia, 2013. "Orders Management By Using Of Smart Phones," Annals of Faculty of Economics, University of Oradea, Faculty of Economics, vol. 1(1), pages 1847-1852, July.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Julian Vasilev, 2014. "Calculating the Probability of Returning a Loan with Binary Probability Models," Romanian Statistical Review, Romanian Statistical Review, vol. 62(4), pages 55-71, December.
    2. Marin FOTACHE, 2016. "Data Processing Languages for Business Intelligence. SQL vs. R," Informatica Economica, Academy of Economic Studies - Bucharest, Romania, vol. 20(1), pages 48-61.
    3. S. Isitor & A. Otunaiya & A. Adeyonu & E. Fabiyi, 2015. "Determinants of Loan Repayment among Small Holder Cooperative Farmers in Remo Division, Ogun State, Nigeria," Journal of Agricultural Science, Canadian Center of Science and Education, vol. 8(1), pages 1-92, December.
    4. Moumita Poddar & Tanmoyee Banerjee (Chatterjee) & Ajitava Raychaudhuri, 2019. "An economic analysis of the determinants of pattern of institutional borrowing in India," Journal of Social and Economic Development, Springer;Institute for Social and Economic Change, vol. 21(1), pages 54-92, June.
    5. Jorge Mota & António Carrizo Moreira & Cristóvão Brandão, 2018. "Determinants of microcredit repayment in Portugal: analysis of borrowers, loans and business projects," Portuguese Economic Journal, Springer;Instituto Superior de Economia e Gestao, vol. 17(3), pages 141-171, November.
    6. Omobolaji Omobitan & Aditya R. Khanal, 2022. "Examining Farm Financial Management: How Do Small US Farms Meet Their Agricultural Expenses?," JRFM, MDPI, vol. 15(3), pages 1-15, March.
    7. Mariusz Nowak & Piotr Derbis & Krzysztof Kurowski & Rafał Różycki & Grzegorz Waligóra, 2021. "LPWAN Networks for Energy Meters Reading and Monitoring Power Supply Network in Intelligent Buildings," Energies, MDPI, vol. 14(23), pages 1-14, November.
    8. Uma Murthy & Paul Anthony Mariadas, 2017. "An Exploratory Study on the Factors Contributing Loan Repayment Default among the Loan Borrowers in Micro Finance Institutions in Shah Alam, Selangor," International Journal of Business and Management, Canadian Center of Science and Education, vol. 12(12), pages 242-242, November.
    9. Momtaj Parvin & Merajul Islam & Larysa Vdovenko, 2023. "Impact of Non-Performing Loans on the Growth of the Banking Sector in Bangladesh," Oblik i finansi, Institute of Accounting and Finance, issue 1, pages 79-90, March.
    10. Andualem Kassegn & Ebrahim Endris, 2022. "Factors affecting loan repayment rate among smallholder farmers got loans from the Amhara Credit and Saving Institution: In the case of Habru District, Amhara Regional State, Ethiopia," International Area Studies Review, Center for International Area Studies, Hankuk University of Foreign Studies, vol. 25(1), pages 73-96, March.
    11. Li, Yanru & Wang, Haijun & Gao, Huikun & Li, Qinghai & Sun, Guanglin, 2024. "Credit rating, repayment willingness and farmer credit default," International Review of Financial Analysis, Elsevier, vol. 93(C).
    12. Ali Ijaz, Sulaman Hafeez Siddiqui, Rabia Rasheed, Muhammad Shahid Nawaz, 2019. "Factors Affecting Delay in Agricultural Loan Recovery among Small Scale Farmers in Sahiwal Region Pakistan," Journal of Management Sciences, Geist Science, Iqra University, Faculty of Business Administration, vol. 6(2), pages 48-53, October.
    13. Abu, Benjamin Musah & Domanban, Paul Bata & Haruna, Issahaku, 2017. "Microcredit Loan Repayment Default among Small Scale Enterprises: A Double Hurdle Approach," MPRA Paper 101576, University Library of Munich, Germany, revised 12 Mar 2017.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:aes:infoec:v:18:y:2014:i:4:p:111-119. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Paul Pocatilu (email available below). General contact details of provider: https://edirc.repec.org/data/aseeero.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.